#380 ‒ The seed oil debate: are they uniquely harmful relative to other dietary fats? | Layne Norton, Ph.D.
Episode Stats
Length
2 hours and 7 minutes
Words per Minute
176.90482
Summary
Lane Norton is a nutrition scientist and accomplished power athlete, and a very evidence-based thinker in the space of diet and metabolic health. In this episode, we discuss the role of evidence in the seed oil debate, and how it relates to modern dietary choices.
Transcript
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Hey, everyone. Welcome to the Drive podcast. I'm your host, Peter Atiyah. This podcast,
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My guest this week is Lane Norton. Lane is a nutrition scientist and accomplished power athlete
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and a very evidence-based thinker in the space of diet and metabolic health. And while Lane's been
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on the podcast many times, today's episode is a little bit different from sort of the usual podcast
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dynamic. Now, originally, this was supposed to be our first in a series that we've been toying with,
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which is kind of a debate episode. I've talked about these a little bit on other podcasts,
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but the long and short of it is I wanted to do a debate that was going to be incredibly rigorous.
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In fairness, I've never really seen a podcast debate that was anything other than nonsense,
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if I'm being blunt. And the reason is the format is basically impossible because people can make up
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anything they want. They can cite anything they want out of context. And no human has the capacity
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to know the entire body of literature up front. And therefore, it's very difficult to counter claims
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regardless of whatever the topic of discussion is. I've just never found this appealing. And so
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over the past year, we've been sort of noodling this idea of, well, what if we ran a debate like a
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court case? And of course, in a court case, everybody has to sort of present their evidence
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up front during a process called discovery. And that allows both sides to view the evidence of
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the opposing arguments along with their own arguments in equal time. That way, there's no
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ambiguity about what's being presented. We came up with an idea, which was we were going to start with
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this first topic, which is to be the seed oil debate, which I'll clarify a little bit more in a
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moment. And the idea was, we'll take two very thoughtful individuals who have opposing views.
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And we did just that. So Lane was on the side of the argument, which was that seed oils are not
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harmful. We had an individual who took the opposite point of view on that. The idea was that Lane and
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this other individual would share all of the information that they plan to present with our team and with
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each other. And that I would serve really here as a moderator of this discussion. And my research team
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would serve as the fact checkers and that you as the public would basically serve as the jury to my
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judge. However, the individual on the other side of this argument, for reasons that I'm not entirely
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clear, decided that they just didn't want to do this. And we felt that it was still a worthwhile topic
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to explore. And while the format of today's podcast is, in my view, not as potentially interesting as
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it would have been had we done the original debate, we still think that it brought a lot of value. So
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what I did was I kind of attempted to steel man the argument against seed oils and therefore allow
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Lane to represent the pro-seed oil position for why seed oils may or may not be harmful when consumed
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in isocaloric quantities relative to other fatty acids. That really is kind of the jugular question
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here, which is, I don't think anybody would dispute that consuming excess anything is harmful. So
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consuming excess calories in the form of seed oils versus monounsaturated fats versus polyunsaturated
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fats versus carbohydrates, probably not many people are going to debate the downside of that. But what we
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were really trying to understand is, is there something that under even isocaloric conditions would make
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seed oils particularly metabolically harmful. So in this episode, we're going to discuss the role of
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bias, evidence evaluation, and scientific interpretation as a lead into this, the historical
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randomized control trials that shape the seed oil conversation, the mechanistic biology of LDL
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oxidation and atherosclerosis, which is central to this argument, or at least one of the arguments,
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the methods of oil processing and the chemistry behind modern seed oils, how evolutionary and ancestral
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arguments fit into these nutritional debates, the relationship between seed oils, ultra processed
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foods, and modern dietary patterns, the broader lifestyle factors that influence cardiometabolic
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health, and then ultimately practical considerations around dietary fats, cooking oils, and real world
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food choices. So in the end, I think we salvaged a lot of hard work that had gone into the preparation
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for the debate over the course of a year. And ultimately, I think you're going to find a lot of value in
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this. So without further delay, please enjoy my conversation with Lane Norton.
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Lane, thank you for making another trip out to Austin.
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Okay. This is going to be a kind of a different episode. So I'm going to set this up and we're
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going to give it a shot. So originally we were planning to do this as our inaugural debate series.
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People have heard me talk a little bit about how I desired to do a debate series, which was to have
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two people on who had opposing views on a topic. But I've been very vocal of my criticism of debates
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on podcasts in that I think I could charitably call them useless, which is to say anybody can sort
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of say anything. And in real time, it's almost impossible to verify what people are saying.
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And it's not to say that people are necessarily lying. I think it's that people are maybe taking
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liberal interpretations or not interpreting things the same way. And it would be much more
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valuable if everybody could be looking at the same thing. So anyway, we had this whole idea where we
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were going to have two people that were going to pre-submit all of their evidence to me and my
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analysts, so the entire research team. And everybody was going to agree upfront what the papers were,
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what the questions were that we were asking, what the data were. And during the process of the
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debate, people could only reference things that were pre-submitted. In other words, we were going
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to make it feel a lot like a courtroom. And I say that through the lens of we have a process in court
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where you have discovery and the opposing lawyers have to submit everything. So this idea made a ton of
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sense. My role was really to play judge, not jury. The public, the people listening to this would be the
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jury. They would ultimately be the ones that would decide. And the first topic we're going to focus
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on was the one we're going to talk about today, which is seed oils. How long did we spend on this?
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Oh, I think it was over a year when we started talking about it.
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So we identified you as the person who would speak to the argument that seed oils are not uniquely
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harmful. We identified another individual who seemed incredibly qualified to speak to the other
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side of this debate, which is to say that seed oils do pose a unique nutritional risk. And for
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reasons I honestly don't even remember, that individual at some point just decided they didn't
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want to do it. I think there was some concern that my personal view leaned more towards the side
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that seed oils are probably not that harmful. I always am pretty vocal about my biases and I was
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very vocal about stating, I don't really see something here, guys. But I was also clear to point out
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that I'm simply the judge and not the jury. And ultimately the jury decides, and they're going
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to also decide if I can be a fair judge. Nevertheless, the person decided not to do
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this. And that left us asking the question, well, it is still a topic that people care about. And
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therefore we view ourselves on this podcast as kind of the authority about going really deep on topics
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that matter. So we thought we would do it anyway. However, we are going to do this a little
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different than a normal podcast. Instead of just a regular interview, I am actually going to make my best
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attempt to steel man the case for the other guest who is not here. Because again, in the process of
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whatever we spent a year together, I did come to better understand the arguments for why a person
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would think seed oils are uniquely harmful as a class of fatty acids. So with all of that said,
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would you like to add anything before we jump into this?
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I think that when speaking to bias, I think it's important to point out that everyone has bias.
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Everyone has personal beliefs they developed. And that is just a human characteristic. There's no
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way to get rid of that. I have my own personal beliefs. But what I will say is, I'm very upfront
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about my biases. If we're on a topic where I have a different opinion than perhaps the consensus of the
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literature or some other experts who I do consider to be good evidence-based experts, and I have a
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different opinion, I will say, hey, look, this could be my bias showing here. Or I have a bias towards
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this. I understand what this literature says. Here's why I think that maybe it doesn't capture it all
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right now. And I think that that's about as best as you can do. And one of the things I told a friend the
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other day was, people think that funding or money is by far the biggest driver of people essentially
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like not sticking with the evidence. And I would say that in some cases, that's true. But I think
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that personal beliefs are actually just as powerful, if not more powerful. I mean, look at how many
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people spend hours online arguing over politics that get zero money from arguing about politics.
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I just think that the current day and age with social media, with clickbait, that things are very
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information siloed, and there can be a lot of talking past each other. And I hope today, what we can do
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is present this evidence. And I will acknowledge where I think that there is something really there.
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And then I will also explain why I think overall, my view is accurate and in line with the best data
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available. And just to be clear, upfront, if anybody has a bias against seed oils, it probably should be
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me. I came from a lab that was very much in line with the lower carb way of thinking of maybe saturated
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fat isn't as bad as we thought. Maybe LDL doesn't matter. And I got into graduate school in 2004,
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when that was a pretty popular idea that, okay, well, maybe it's not just saturated fat, LDL. Maybe
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it's the particle size, the oxidation status, LDL to HDL ratio. And what I'll tell you is I said those
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things for a long time and eventually changed my mind with the evidence. And just to point out one
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more thing, my research was funded. I got money from the National Dairy Council, the National Cattlemen's
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Beef Association, and the Egg Board. I'm painting with a broad brush, but I would say most of the
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anti, the very, very rigorous anti-seed oil people tend to err on the side of either low-carb,
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animal-based, or carnivore. And if anybody has a bias towards high-quality animal protein, it's me.
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So I just want to start there and say that I think a lot of people, when the research conflicts with
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whatever their viewpoint is, they immediately jump to funding source or think that there's something
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nefarious going on. And what I will say is the scientific method is perfect. It is a perfect
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method, but it is done by people who are not. And that is why it is so important to look at the
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overall consensus of the evidence and looking at the different converging lines of evidence, which is
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something you'll probably hear me talk about a lot today, because I do think there's a lot of converging
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lines of evidence here. And that can give us a relatively strong or weak amount of confidence in how
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accurate something is or a statement is. And so I just want to put all that out there, because when you're
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looking through scientific research or you're scrolling social media, if you have a bias towards
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something, you can always find a study or phrase something in a way that supports whatever you wish
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to be true. And so that is why it's important. I think people like what you and I do, which is trying
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to cut through that noise that other people who aren't equipped to read research simply can't do.
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I'm going to tell you what I've heard as the four main arguments for why seed oils should be viewed as
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potentially harmful. And we're going to kind of talk through these, not necessarily in this order,
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but I'm going to kind of go through these. One comes down to the mortality literature on some
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of the large RCTs. We're going to talk about two in particular. In other words, when we go back and
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look at the literature, particularly in the era when people began to appreciate that saturated fat
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raised, at the time it was total cholesterol, eventually when it got fractionated, it became
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another subset of that called LDL cholesterol. We saw the association between LDL cholesterol and
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ASCBD. The question became, hey, can we substitute something else for saturated fat, think margarine
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versus butter, to lower cholesterol? So a couple of these studies were done and these studies,
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while lowering cholesterol, did not lower mortality. We're going to talk about that. We're then going
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to get into some really mechanistic stuff and talk about LDL through the lens of oxidation. You alluded
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to this a little bit with your change in thinking around LDL particle size, but this goes kind of a step
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further than just particle size. We get into the really granular biochemistry of what is happening
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to an LDL particle that renders it pathologic versus maybe not so much. We're then going to talk
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a little bit about not just the seed oil per se, but the industrialization of how a seed oil is refined.
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In other words, is there something about the process of making a seed oil commercially that introduces
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something that's harmful as a byproduct? And then finally, we're going to talk about this from maybe
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an evolutionary or first principles perspective, which is, look, if we were having this discussion
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a hundred years ago, there were no seed oils and people were a lot healthier. So maybe the
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introduction of seed oils should be viewed as potentially problematic. So let's kind of start
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with the Minnesota Heart Study. So I've talked about the Minnesota Heart Study before. This is a study
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that took place in the 1960s. I believe it ran seven years-ish. It's notable because it was carried out
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in an environment that would be very difficult to do today. It's very difficult to do long-term
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nutritional studies with complete control over what your subjects eat. And yet that is essentially what
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this study was able to do because it was carried out in institutionalized patients. So these were
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mentally institutionalized patients, they were in patients in a hospital. And the experimental design
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was quite elegant, which is the subjects were divided into two groups. One group was given a diet that was
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higher in saturated fat. The other group was given a diet that was lower in saturated fat, but had an
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isocaloric substitution of polyunsaturated fat. I believe it was mostly linoleic acid that made the
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substitution. So in other words, you can think of this as substituting saturated fat like butter,
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lard, meat for other sources. But the oils would, of course, then be the canolas, the safflower,
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sunflowers, things like that. Yeah, I think in MCE, it was mostly corn oil and then margarine.
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Yep. Now, here's what was really interesting, Lane. This study completed in, I believe, 1973.
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So I think it ran from 66 to 73. I think that was the seven years of the study.
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And the study found that indeed, the total cholesterol of the patients on the higher
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polyunsaturated fat diet, again, this was isocaloric. It wasn't like we were playing
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tricks with calories. No, no, no. This was, they were getting the same amounts of calories from
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the macros even. It was just, we were substituting saturated fat for polyunsaturated fat. The patients
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on the low saturated fat diet had a significant reduction in total cholesterol. At the time,
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that was the only tool you had at their disposal. You didn't even have LDL cholesterol, let alone
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APOB or particle size or any of that stuff. But you saw that total cholesterol went down.
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Interestingly, and much to the surprise of the investigators, mortality did not.
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This was such a surprise to the experimenters that they chose not to publish the results of
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this study for another, I believe, 13 years. So the Minnesota Heart Experiment or the Coronary
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Minnesota, I forget, there were several different names for it, but this study was not published
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until the 80s. But as someone trying to make the case that there's got to be something wrong with
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polyunsaturated fats, how could we otherwise explain that there was no improvement in mortality
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despite the fact that total cholesterol went down? And total cholesterol went down quite a bit.
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We don't have the data to say if it was atherogenic particles that went down, but given the magnitude
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by which it went down, you have to assume at least the fraction of LDL cholesterol went down with
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it, even if HDL cholesterol went down with it as well. So let's maybe start with that study
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and say, doesn't that at least suggest that there could be something nefarious about
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the substitution of lard to those polyunsaturated fats?
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Yeah. And this is probably the single most popular study that gets cited by people who are
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making the case that polyunsaturated fats are actually bad for you compared to saturated fat.
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I want to be really clear. When I make any criticisms of this study, I think it was a very well-designed
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study for the tools they had at the time and what they knew at the time. And so it's always easy to
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Monday morning quarterback these things. But I think it was a very well-designed study. The big
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takeaway was for every, I can't remember exactly the number, I think it was a 30 milligram per
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deciliter decrease in cholesterol, total cholesterol, that there was like around a 20% increase in
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Yeah. So the biggest thing that I'm going to say right off the bat that really confounds all these
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outcomes is the inclusion of trans fats. So the polyunsaturated fat group, they were getting
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quite a bit of their polyunsaturated fats from margarine. Margarine at the time was around 25 to
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40% trans fats. And we know that trans fats are absolutely atherogenic.
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Can we pause for a minute? I maybe should have done this earlier. We should probably tell people
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the difference between a saturated fat, a monounsaturated fat, a polyunsaturated fat,
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and a trans fat as a subset of polyunsaturated fats. Let's go one-on-one just to speed this up.
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A saturated fat is a hydrocarbon where every bond is saturated. That means there are no double bonds.
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So every carbon is attached to another carbon, but it has two hydrogens on it. They can swiggle around
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and that gives it unique properties. So one of the properties of a saturated fat is it is more likely
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to be solid at room temperature. There are a whole bunch of reasons that are going to come up later
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when we talk about why saturated fat plays a role in cardiovascular disease through its impact on LDL
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receptors and cholesterol synthesis. But that's what a saturated fat is. So then tell us what a monounsaturated
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fat is. So a monounsaturated fat means there is one double bond in the fatty acid chain.
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Important to point out when it comes to these double bonds and why this probably makes a difference
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is it changes the fluidity of these membranes because fatty acids and lipoproteins in particular,
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they're not just like individual fats. They're arranged into what are called micelles,
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which basically the polar head of the fatty acid is on the outside and then the inside you have all
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the fatty acid tails. And the reason for that, of course, is that if it wasn't that way, they could
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never travel around our body because to travel through the medium of our blood, you have to be
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able to be repelling water on the inside, hydrophobic, while being attracted to water, hydrophilic on the
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outside. Correct. So you have all these tails kind of pointing towards the center. And then if you think
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about even on cells, the phospholipid bilayer, the tails are pointing towards each other. And for natural
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unsaturated fats, like monounsaturated fats or polyunsaturated fats, most of those double bonds
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are what are called cis double bonds. And I don't want to get too far into the biochemistry of it,
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but essentially, if you have a cis double bond, it puts a kink in the fatty acid tail. If you have a
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trans double bond, it doesn't change it. It still essentially looks like a saturated fat in terms
00:20:52.680
of structure besides the double bond. And it's actually easy to picture that. I almost wish I brought
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a chalkboard to draw on. But anybody who's taken a biochemistry class will remember this. But a
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cis double bond forces the two carbons up or down, but they are on the same side of the double bond.
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So that's the real kink. Whereas a trans double bond, you have a carbon here, a double bond, and
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then the other carbon is here. That stays much straighter than if you force the kink up or down.
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And as we're going to talk about later when it comes to like LDL aggregation and whatnot,
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the actual membrane fluidity is actually very important when it comes to the progression of
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cardiovascular disease. So the membranes and the fatty acid composition of these lipoproteins
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actually becomes very important. And it's very important to keep that in mind. But when we're
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talking about unsaturated fat, it's important to point out that trans fats are very unique
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in terms of the research literature very clearly showing an atherogenic effect.
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Yeah. And the atherogenic effect of trans fats was so significant that they have effectively been
00:22:02.160
banned by the FDA. It's also important to understand how they came about. When the belief
00:22:06.960
and realization around saturated fats, which have been, I think, probably over demonized historically,
00:22:13.820
when that took place, food makers looked for a substitute. And you brought up an interesting
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point a moment ago, which is if you have a trans fat, you can have something that is not saturated,
00:22:27.040
but behaves as saturated. So if you think of one of our favorite saturated products, it's butter.
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Of course, as maybe we will talk about later, there's no food that is purely one thing. So it's not like
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butter is just saturated fat. In fact, it's probably made up of mono and polyunsaturated fats,
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if my memory serves correctly, as is even the fattiest ribeye. And actually has some natural
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trans fats in it as well. Yeah. Low, low amounts. But what makes butter appealing is that it is solid
00:22:54.020
at room temperature. So in an effort to create something that looked, felt, tasted, and behaved
00:23:02.340
like butter, and we were going to deprive you of saturated fat, we had to put in something that at least
00:23:08.080
behaved like saturated fat. So when that margarine that was made up of high amounts, 25% is really
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high, 25% of that is trans fats, initially thought that was a win because you got the benefit of
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solid at room temperature. It was only after a few years we realized, actually, this was creating
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far more heart disease than we were seeing even with saturated fat.
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And part of that is likely because, and again, this we'll talk about in a little bit,
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it makes the membrane very rigid because those fatty acid tails can get packed in tighter with
00:23:40.640
saturated fat and trans fat. Whereas when you have those kinks with mono and polyunsaturated fats,
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it essentially creates space in the membrane. And that is actually very critical in terms of
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particle recognition by the LDL receptor and also aggregation. But we'll get into that a little bit
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later. So not only do you have trans fats being able to be packed into lipoproteins in a similar
00:24:05.340
way as saturated fat, but now they have a double bond that can be oxidized as well. So you're getting
00:24:10.020
kind of the worst of both worlds with trans fats.
00:24:13.540
So do we know how much trans fats was consumed by the low saturated fat group in the Minnesota
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So as far as I understand, we don't have the specific numbers. We just know that it was likely
00:24:26.120
a significant portion of the polyunsaturated fat based on they essentially got a lot of their
00:24:31.560
polyunsaturated fats from either corn oil or margarine. Now, as far as I know, we don't know
00:24:40.200
Was Chris Ramsden at the NIH, who I believe did a re-evaluation of this, was he able ever to identify
00:24:48.640
I'm not sure to be quite honest with you. I didn't see it anywhere. Maybe if people smarter than me are
00:24:53.140
watching or are familiar with it, I would love to know if they did. I do know there's some other
00:24:58.080
studies where they kind of looked at dietary adherence by looking at LDL in the blood or looking
00:25:06.480
at like linoleic acid incorporation into lipoproteins. But as far as this specific study, I don't think
00:25:13.060
they did. We have to remember, as you said, this study started in 1966. So this was very shortly
00:25:18.780
after it was identified and accepted that saturated fat raised cholesterol and that that seemed to have
00:25:26.080
a pretty strong association with heart disease. So when it came to doing this study, they had no reason
00:25:31.800
to suspect that these trans fats were going to be uniquely deleterious. And the other thing that's I think
00:25:39.440
important to point out, two things are important to point out with the MCE. The second is that during the
00:25:45.240
time that this study was going on, I think laws changed where people who were in psychiatric wards
00:25:50.920
could just check themselves out. And so many of the people in this study were not continuous. In fact,
00:25:57.180
it kind of threw a wrench in the researcher's protocol because I think they had originally planned that
00:26:01.840
these people were going to be continuously housed in these psychiatric wards for the duration of the
00:26:08.020
study. So now you've got another confounder where, okay, they're going in for a period of time and now
00:26:13.840
they're coming out and we don't know what they're consuming while they're out. Now, what I would say
00:26:18.540
if I was going to make a counter argument to that is, well, this is why randomization is important
00:26:23.340
because the likelihood is, okay, if they're changing what they're eating while they're out,
00:26:27.440
it should affect both. Yeah, it's probably equally distributed. So I think that's a far less
00:26:31.940
significant criticism compared to the inclusion of trans fats. And then I think the other thing that's
00:26:38.320
important to point out is it's really hard to do very long RCTs in humans. And this is something
00:26:45.340
uniquely difficult when you're trying to do cardiovascular disease research with hard endpoints
00:26:51.420
because cardiovascular disease is not something that develops in a couple of years.
00:26:56.020
It develops over the course of decades. And so Peter, for example, what I like to compare it to is
00:27:01.400
investing. If you and I start investing, same time, and I get into a mutual fund that on average over
00:27:09.040
the course of let's say 40 years gets me a 9% return and you invest in something that gets 8.5%.
00:27:15.160
If we look a couple of years out, there's really not going to be that much difference. I mean,
00:27:20.100
statistically in terms of significance, probably won't be a significant difference. But if we look 40
00:27:25.460
years out, there's going to be a major difference. It's important to understand that we get into the
00:27:30.500
mechanisms of LDL cholesterol. This is a total lifetime exposure risk. And so when you have
00:27:37.420
people coming in who we don't know what their baseline LDL was, because now if we were doing
00:27:43.620
this experiment, what would probably happen is you would randomize the groups based on their baseline LDL
00:27:49.200
or based on some other marker, maybe calcium score, whatever it is, so that you can have some degree of
00:27:56.080
confidence that you don't have differences at baseline. But they didn't know any of this stuff
00:28:00.840
back then. They didn't have those tools available to them. And so I think it's also important to
00:28:05.120
point out when you're looking at these studies where I think the average follow-up time in this
00:28:08.800
study was about one to two years. That's a pretty short period of time to actually see any real
00:28:15.060
differences in progression of cardiovascular disease and to try and actually find hard endpoints.
00:28:20.980
And as we'll talk about here with some of these other studies, the overall number of deaths are
00:28:25.860
very, very low, even to the point in one trial, like the corn oil trial.
00:28:30.460
Let's talk about that trial, because I was going to say, to get around your point about duration,
00:28:35.340
the Sydney heart study, which is the one you're referring to, attempts to solve this. So it was a
00:28:40.460
much smaller study than the Minnesota coronary experiment, which had nearly 9,000 subjects. This one had
00:28:45.740
a little under 500 subjects, but they were selected to be very high risk. So each of these men had just
00:28:53.300
suffered an MI. So you took a group of men who had just suffered an MI, but they were in the fortunate
00:28:59.980
group at the time who didn't die. And remember, back at the time of the Sydney heart study, you were
00:29:06.060
most likely to die from a heart attack. So you're already pre-selected to be pretty lucky. You haven't
00:29:12.060
died, but your risk is now very, very high. The baseline characteristics of this group were as
00:29:17.920
follows. Their baseline saturated fat intake was 16% of total calories. Their PUFA intake,
00:29:25.080
that's polyunsaturated fat intake, 6%. So the instruction set for the intervention group,
00:29:32.280
they were randomized. The low saturated fat group was instructed to increase PUFA to 15%
00:29:37.400
and reduce saturated fat to 10%. Now that's not draconian, but of course, these people,
00:29:44.580
they were not housed. The manner in which they were doing this was basically through
00:29:49.600
safflower oil and safflower margarine. And let's talk about what happened. So in this study,
00:29:57.420
there was a higher mortality in the control group, meaning the group that stayed on the saturated fat,
00:30:03.660
and it was 32% versus 20% at three years, which again, it's good in a bad way. It's good that you
00:30:10.020
can see a high mortality in three years because you've started with such a sick group. So again,
00:30:15.060
this would at least suggest that that group that lowered saturated fat, raised polyunsaturated fat,
00:30:20.520
they had a higher mortality risk in a short period of time. It could suggest that there's something
00:30:25.680
wrong with the safflower oil. Yeah. And important to point out, a lot of anti-seed oil people
00:30:30.780
will specifically talk about linoleic acid and safflower oil is very high in linoleic acid.
00:30:37.140
So the strengths of this study, it was longer, like you talked about, and these were people who
00:30:43.780
already had cardiovascular disease. So the likelihood that you could see more hard endpoints
00:30:49.740
during the duration of the study was higher. Now that also comes with the opposite side of the coin,
00:30:55.240
which is they already had a cardiovascular disease event. They've already had a lifetime
00:30:59.200
of accumulation of plaque. So how much difference can you really make on this truck that's already
00:31:07.220
rolling down the hill? Again, the main criticism of the study, which I think is quite frankly,
00:31:12.460
the biggest confounder with these trials is the inclusion of trans fats. A large portion of what
00:31:18.480
they consumed was safflower-based margarine, which at the time, again, was 25 to 40% trans fats.
00:31:27.240
It's really difficult to pick out, is this a polyunsaturated fat problem or is this specifically
00:31:35.260
a trans fat problem? And I would say, and I will argue that the human randomized control trials
00:31:43.780
that were not confounded by trans fats were actually probably better designed studies and better powered.
00:31:51.600
But I acknowledge that, okay, we're seeing some of these trials where higher cholesterol in the blood
00:31:59.320
is actually associated with lower mortality. One other thing it's important to point out is really
00:32:03.960
sick people, sometimes you can have what's called reverse causality, especially with cholesterol.
00:32:10.340
And let me explain. Once you get to a certain age, wasting diseases become a problem. High cholesterol
00:32:16.640
or low cholesterol, more specifically, low cholesterol can actually be an indicator of kind
00:32:21.600
of just overall poor health. That people with really low levels of cholesterol, they're more prone
00:32:27.680
to wasting. It may be more of a downstream effect than it is an upstream effect. And so this is where
00:32:34.180
it's really hard to pick out these sorts of things because it does get confounded by the reverse
00:32:40.340
causality, especially in people who are really sick. But even though the Sydney heart health study
00:32:45.160
was, as you said, a longer study, it was lower number of people. And even though they'd had a
00:32:51.880
cardiovascular event, the overall number of deaths was still pretty low, I believe. I think it was
00:32:56.540
somewhere around, I think it was under a hundred. Yeah. Total deaths were pretty low. 37 in the treatment
00:33:03.620
group, 28 in the control. Right. And that's a situation where when you're comparing 28 versus
00:33:09.260
37, just a few deaths, this is where you can have a sampling error, just a few deaths would have swung
00:33:15.360
the significance. And if you look at the confidence interval, the confidence interval nearly crossed
00:33:20.600
the one. And when a confidence interval crosses the one. Now, was that in the original analysis? I know
00:33:26.340
when the Ramsden re-analysis, it was 1.03 to 2.8. Was that what was originally published?
00:33:34.860
I actually don't recall if that was what was originally published.
00:33:36.860
Or maybe that was the original one. No, I'm sorry. That was the original published, I believe.
00:33:41.980
Yeah. That confidence interval is relatively wide considering the risk it's showing. And so,
00:33:49.260
because of course, the studies that support my contention, there's limitations on those as well.
00:33:54.580
But I think the most powerful thing, if I was going to pick it out, it's really the inclusion
00:33:59.060
of the trans fats, which is through no fault of the researchers of their own, because when these
00:34:03.400
studies were done, they just didn't know that trans fats had that effect.
00:34:07.840
Okay. So again, I'm playing the role of, I believe seed oils are bad. So the biggest contention we would
00:34:14.840
have if we go through the RCTs is because these RCTs were done at a time when trans fats were
00:34:23.780
the substitution fat du jour, I don't know how we're going to reconcile that. Basically,
00:34:29.320
it comes down to, do I believe that trans fats are less problematic than you believe? Because if
00:34:34.960
I believe that trans fats are actually not harmful, then that would take away your argument. You
00:34:41.200
wouldn't have an argument. Is there any other argument you've got besides trans fats on this?
00:34:46.060
I think the relatively short duration is another thing, because if we talk about some of the other
00:34:50.360
studies where it wasn't confounded by trans fats, some of those were longer, let me put it a different
00:34:54.780
way. Let's just say we take the trans fats out of it. Let's do that. And this was in the Ramsden
00:35:00.020
reanalysis as well. If we include all the human randomized control trials, looking at substituting
00:35:06.000
polyunsaturated fats for saturated fat, the overall effect is null. There was no effect one way or the
00:35:13.020
other. When you say that, you're referring to the largest Cochrane analyses. There are two, correct?
00:35:19.040
Yeah. Ramsden also did an analysis, I believe, where some of the trials that showed a benefit
00:35:24.260
to PUFA were confounded by the fact that there was omega-3s included in them. Now, I would argue that
00:35:28.520
if you look at the literature on omega-3s, it's actually not super strong that they decrease
00:35:33.540
hard cardiovascular disease endpoints. But nevertheless, it's a confounding variable.
00:35:37.760
So he took those out and then showed, okay, when we take out omega-3s, we see an increased risk.
00:35:44.240
But of course, that still includes the trans fats confounders. So if we just include both and lump
00:35:51.680
them all in together, the net overall effect is that one way or another, reducing saturated fat,
00:35:57.740
raising PUFA, it was equal risk. And so what I would say, if the statement is seed oils are uniquely
00:36:05.160
deleterious to human health, even if we take the trans fats out of it, and if you're going to allow
00:36:12.000
those to be included, you have to have, I call it, logical symmetry, which is if I'm going to allow
00:36:18.000
this confounding variable to support my point, I also have to allow your confounding variables to
00:36:22.420
support your point. Otherwise, we just got to find the ones that take both of them out. And so in that
00:36:27.160
case, the net effect is still no harm. What's the other confounding variable, the EPA and DHA?
00:36:33.380
Correct. If you want to start talking about some of these other studies, I will touch on the one other
00:36:37.540
study they cite is the Rose Corn Oil Trial, which I, quite frankly, I don't know what to make of it
00:36:42.320
because it was only like 70 people in the entire thing. Yeah, it was 26 people in a control group,
00:36:50.640
26 people on an olive oil group, and 28 people in a corn oil group. So again, this is a two-year
00:36:57.700
study. This was in people with significant cardiovascular disease. So the people in the
00:37:03.000
control group, business as usual, three of those people died. Five people died in the olive oil
00:37:10.020
group, but eight people died in the corn oil group. Sorry, that was total deaths for what it's
00:37:16.280
worth. Cardiac deaths, one in the control group, three in the olive oil group, six in the corn oil
00:37:23.080
group. Now again, the confidence intervals on this were very large because the sample size was very
00:37:29.320
small. This one is a bit challenging because the participants were given their oils. You could
00:37:35.080
think of this as kind of an early version of the PREDIMED study, where it was a free-living study,
00:37:41.360
but the participants were given olive oil when they were in the olive oil group. There were three
00:37:46.140
groups. There was low fat, and then there was high MUFA, high monounsaturated fat through olive oil,
00:37:52.100
and you were given a bottle of olive oil every week, or through nuts, and you were given the nuts
00:37:56.060
every week. So here, it was a free-living study, but you were given your corn oil, or you were given
00:38:00.600
your olive oil. Other than that, we don't have dietary recall. Now, the benefit, not confounded
00:38:05.820
by trans fats. There was no confounding with trans fats here, so that would be a positive. But I think
00:38:11.160
the first thing I would say is, I think you said this, the cardiovascular disease deaths were one,
00:38:16.440
three, and six. Yes. I don't know what to make of that. Those are such small numbers that you're so
00:38:22.540
prone to sampling errors, where if you'd had 10,000 participants, that's very likely going to get lost
00:38:29.200
in the wash. And let's just take the olive oil group. Even people who are anti-seed oil typically
00:38:35.720
acknowledge that olive oil is heart-healthy. Well, you had three times the deaths from cardiovascular
00:38:40.000
disease in the olive oil group compared to the control group. And so it doesn't fit with the
00:38:46.500
evidence we have. And it's so small. And like you said, the confidence intervals, I mean, if we want to
00:38:51.740
talk about a confidence interval being wide of 1.03 to 2.8 as being wide, the confidence interval in
00:38:58.240
this, I believe, was like 0.6 to 37. I mean- So not statistically significant either.
00:39:05.580
No, no. It was absolutely massive. And here's where my PhD advisor used to say,
00:39:11.040
if you torture the data enough, it will confess what you want it to show. And so if you just say,
00:39:15.700
well, there was six times the number of deaths in the polyunsaturated group, you're technically
00:39:20.560
correct. But you're leaving out a really big portion of the data. And again, when we plop all
00:39:25.800
these studies into the meta-analysis, don't take out any confounding variables. What do we see?
00:39:31.840
We see a null effect. Now, if we take out the trans fats, there was a meta-analysis, I think,
00:39:37.340
in 2017 where they put together all the trials. There were human randomized control trials looking at
00:39:43.440
substitution of polyunsaturated fats for saturated fats not confounded by trans fat. This was a very clear
00:39:49.940
benefit to substitution. I think it was around 20% reduced mortality risk.
00:39:57.180
No, it was even more. I mean, I have the luxury of cheating because I'm looking at the actual
00:40:01.740
figure. So the rose corn oil trial has the largest hazard ratio of any trial ever done.
00:40:08.440
Of this, I don't know, of any trial, of these trials, it was 4.64. What that means is there was
00:40:16.220
a 364% increase in risk if you took corn oil, but it did not reach anywhere near statistical
00:40:26.940
significance to your point because the hazard ratio confidence interval, the 95% confidence interval
00:40:32.400
was 0.58 to 37.15. So if we limit ourselves to this body of literature and the 1, 2, 3, 4,
00:40:44.600
5 studies, we do not achieve statistical significance, though we do have a trend towards risk.
00:40:52.700
That trend is 1.13, meaning a 13% relative risk increase.
00:41:00.240
Yes. So this is a bit of a messy analysis to your point because we're including the MCE,
00:41:05.900
we're including Sydney, but we're also including rose corn oil. We're just trying to get as many
00:41:10.860
bodies as possible through the engine of the meta-analysis and we don't reach significance.
00:41:16.340
In fact, the only study that reaches statistical significance is the Sydney heart study. That had
00:41:24.120
a 74% increase with a confidence interval of 1.04 to 2.91. So it got there, but I guess your argument
00:41:32.680
is going to be yes, but they were at 25 to 50% trans fats. So this is a tough one to score, Lane,
00:41:39.880
because on the one hand, it looks pretty bad for polyunsaturated fats here. Every time you eat
00:41:45.740
them, it just seems to move you in the wrong direction, except for the linoleic VA study.
00:41:50.560
Well, there's a few different human randomized control trials. So the VA study,
00:41:58.700
So it was in veterans' homes. The food intake was controlled. They provided it to the participants.
00:42:04.260
And it was, I think, around 850 participants. And the average follow-up, I believe, was just under
00:42:09.680
nine years. So that's actually a pretty long study for this. Not confounded by trans fat,
00:42:15.740
and they did show, again, I don't have the raw numbers in front of me, but I think it was around
00:42:20.940
a 20 or 30% reduction in risk. It was, though it did not reach statistical significance. It didn't
00:42:26.980
have a wide confidence interval. It was actually quite narrow, but it crossed unity. So it had a
00:42:32.080
18% reduction in overall risk, but it was 0.56 to 1.21 was your confidence intervals. But this is one
00:42:41.580
that's on the other side of what you said a moment ago. They included omega-3s, if we believe that.
00:42:46.460
So the question is, did the omega-3s help, or was the study underpowered? Is that why it didn't
00:42:52.200
reach statistical significance? Or does it just not matter?
00:42:56.080
I mean, this is why we do meta-analyses. Because when it comes to single studies,
00:43:00.660
sometimes, especially when things are messy like this with hard endpoints, even if 800 people sounds
00:43:05.780
like a lot, when you're trying to get hard endpoints like mortality and cardiovascular disease events.
00:43:11.800
It's pretty small. There are some other trials out there. The Oslo Heart Health Study,
00:43:16.600
that was only 400 people, but that showed, I think, like a 47% risk reduction. Again,
00:43:22.220
confounded by omega-3s. Then there was probably one of the strongest studies, I think, is the Finnish
00:43:28.540
hospital study. And the reason is, not confounded by trans fats, not confounded by omega-3s. People
00:43:37.240
did each diet for six years, so it was a crossover design. So I guess it's important for me to cover
00:43:42.760
what a crossover design is briefly. So a crossover design is when you take people and you have them
00:43:48.100
do both treatments. Now, there are downsides. The downside is, okay, what about a crossover effect
00:43:55.960
where, okay, maybe you have, let's say, a cardiovascular event on one of the diets, but you did the other
00:44:02.820
diet before that. So is it from the diet you're on now, or is it from the previous diet? The way researchers
00:44:09.140
attempt to get around that is by essentially making the order in which they do both diets split, so that
00:44:17.160
there's 50% of people did one diet first, and then the next diet, and then they reversed it. Usually, you do that
00:44:23.620
by randomizing each individual person. Now, here's the weakness of the study. They didn't
00:44:29.000
randomize individually. They had two hospitals. One hospital started with one diet, one hospital
00:44:34.780
did the other diet, and then they switched them after six years.
00:44:43.660
Figure out if Bob in bed A is on this diet versus Sally in bed B.
00:44:47.720
Exactly. I understand why they did it, for sure. I guess if you were going to try and make the argument
00:44:52.540
that this introduced a lot of bias, the argument you would make is that perhaps there was inherent
00:44:57.660
characteristics about one hospital versus the other that were more prone to people getting
00:45:02.480
cardiovascular disease. I would say that risk is probably pretty low, but it's an argument that
00:45:08.400
can be made. The benefits of this is it was 1,200 people, but since they crossed them over,
00:45:13.380
effectively, it was like 2,400 people. One of the benefits to a crossover experiment is
00:45:20.560
I hope somebody listening is sharper than I am in my statistics because it's been so long,
00:45:25.500
and I used to know the answer to this. I think it's actually even more impressive than 1,200 to
00:45:31.620
2,400. I think it's even more, not to overuse the word power, but it's even more powerful
00:45:37.360
statistically when you do a crossover because every person gets to be their own control.
00:45:41.880
Exactly. That is probably the largest benefit, which is, as you said, it's the way you do the
00:45:48.220
t-test and the statistical comparisons. Each person is their own control because when you're
00:45:54.140
doing a parallel group design, which is where you just have one group on one diet, one group on the
00:45:59.300
other diet, you are assuming that the randomization process randomly distributes the baseline
00:46:05.060
characteristics that may be different between groups to where they're equally distributed amongst
00:46:09.060
the groups. But you don't know that for sure. But when you cross over, now you're guaranteed,
00:46:14.280
I don't want to say guaranteed, but you are very confident that inherent baseline characteristics are
00:46:19.880
now no longer a confounding variable. And it's likely that the people's overall lifestyles are
00:46:26.520
going to be similar throughout the course of the experiment. There's less risk of bias from
00:46:30.940
inherent lifestyle differences as well. Somebody having more stress versus less stress,
00:46:35.080
those sorts of things. And in this study, again, not confounded by trans fats,
00:46:40.300
not confounded by omega-3s, and pretty well-powered for a long duration, six years on each diet,
00:46:47.320
12 years overall. And they saw a pretty significant reduction in the risk of cardiovascular disease
00:46:55.380
Yeah, 41% reduction in the treatment group that was, and just to give folks what the actual intervention was,
00:47:05.080
so the high saturated fat or control arm was 18% saturated fat, 4% polyunsaturated fat,
00:47:13.440
three to four, they gave some wiggle room. The treatment group was 14%, so they increased to 14%
00:47:19.320
polyunsaturated and cut saturated fat in half to 9%. These were kind of similar targets to the MCE study.
00:47:26.540
I want to say they measured linoleic acid in tissue too. I believe they did that.
00:47:31.820
If I'm wrong, I'll eat crow, but I think that they actually looked at like tissue and blood
00:47:36.220
biomarkers of linoleic acid and showed an increase in linoleic acid content to verify the
00:47:43.880
What would be your best explanation for this? Because again, the finished study,
00:47:47.960
I mean, 41% relative risk reduction in cardiovascular disease with that low saturated fat,
00:47:55.320
high polyunsaturated fat, and the confidence intervals are really tight.
00:47:59.580
I think, again, this is why this is a situation where, okay, I'm acknowledging
00:48:03.780
what seems to be a negative effect of polyunsaturated fats in some of these studies,
00:48:09.460
but I'm explaining why I think that the studies that show a reduction in risk are on balance better.
00:48:17.980
Again, not making a criticism of the researchers because, as we talked about, I think they did the
00:48:23.520
best they could at the time with the information they had. So this isn't an indictment on the
00:48:28.520
researchers whatsoever. But when you look at these studies that showed a reduction in risk,
00:48:33.480
they're longer, they're typically better controlled, and they don't have the inclusion
00:48:38.400
of trans fats. I think those things are the most powerful movers.
00:48:42.580
So we think that that is the best explanation for why the Finnish heart study came up with a
00:48:48.040
Yes. There was a meta-analysis in 2017, and I can't remember the name of the lead author,
00:48:54.600
but they basically did a meta-analysis of the studies not confounded by trans fats. Now,
00:49:00.000
they included some of the ones that had fish oil in them, or omega-3s rather, but they showed overall,
00:49:05.420
again, I want to say it was around a 21, it was 29% reduction in risk. So again, if you look at
00:49:12.160
the Ramsden analysis, in their best case for polyunsaturated fats being bad, it's a smaller
00:49:18.280
increase in risk, and the confidence intervals are very wide.
00:49:21.780
So let me play devil's advocate for a moment. And again, this is sort of maybe a silly argument,
00:49:26.520
but what if this says more about saturated fats harm than polyunsaturated fats benefit?
00:49:34.540
Well, and this is a situation where when you're doing nutritional studies-
00:49:42.000
One of the things when we were talking about doing this debate with the other individual,
00:49:45.660
I was very clear in saying, I'm not saying that there's no deleterious effect to seed oils
00:49:50.640
whatsoever, because added oils in the diet are a major source of calories, and excess calories
00:49:57.640
are not innocuous. So we have to compare apples to apples, which is when you are substituting in a
00:50:03.460
one-to-one ratio. What is more beneficial? The reality is, I think you could take any food or
00:50:10.780
any nutrient, and you can find both positive and negative pathways that it activates. The question
00:50:17.920
is not whether or not a nutrient or a particular food activates positive or negative pathways,
00:50:23.260
and I say that very broadly, because as you and I both know, there's not really such a thing as a
00:50:28.440
positive or negative pathway. But just in general, there could be positive and negative outcomes.
00:50:32.800
What matters is, on balance, what is the net effect? And I explain this, I'll use another
00:50:38.800
financial example. So we're talking about these pathways, we're talking about mechanisms,
00:50:44.440
which are important. If an outcome exists, there's a mechanism or mechanisms to explain it.
00:50:48.940
But those are like single stocks. An outcome, like a cardiovascular disease event, that is like
00:50:55.140
a mutual fund. And so what I mean by that is, I could take a mutual fund that's doing really well,
00:51:01.000
say, up 20% year over year. But I could find a few stocks in it. I'm like, oh, you don't want to
00:51:05.520
invest in this. Look at these, they're down like 50%. But what matters more, those individual stocks
00:51:10.200
that are down or the overall mutual fund is killing it? You care about what the overall mutual fund is
00:51:15.600
doing. And just an example of this, smoking decreases the risk of Parkinson's disease. This is
00:51:21.460
a very consistent effect in the research literature. But on balance, I don't think anybody's going to say
00:51:25.960
smoking is good for you. We should just point out to listeners, it appears to be the nicotine
00:51:29.900
that is causing that benefit. I don't want anybody with Parkinson's disease or at risk for Parkinson's
00:51:35.240
picking up cigarettes. If you're going to do anything, just choose some nicotine, choose
00:51:38.960
non-tobacco nicotine, please. But perhaps a better comparison would be, we know, I believe aspirin is
00:51:44.700
an anticoagulant overall, but it also activates some pro-coagulant pathways. But the overall effect is
00:51:50.780
anticoagulation. So if I just wanted to pick out and say, well, look, it activates these pathways,
00:51:56.540
not that it doesn't matter, but on balance, on balance, it is a net positive for anticoagulation.
00:52:03.780
And so when it comes to looking at polyunsaturated fats versus saturated fats, and we will get into
00:52:08.900
the mechanisms of these. Yes, there are mechanisms that exist that would suggest that polyunsaturated
00:52:15.080
fats can have a negative effect. But on balance, there are more mechanisms that exist
00:52:20.600
that show saturated fat to be a negative. To circle back to your original question,
00:52:26.180
is this a effect of polyunsaturated fats being beneficial or saturated fats being a negative?
00:52:32.420
I think it's almost impossible to disconnect those two questions because when it comes to
00:52:37.560
nutrition research, to do it accurately, you're looking at substitutions. So if you're going to
00:52:41.900
take saturated fat out, you've got to put something in. And so if we look at studies where you substitute
00:52:47.560
carbohydrate for saturated fat, not really much change. I would say that probably depends on the
00:52:53.460
type of carbohydrate very much. If you were doing like fiber dense sources of carbohydrate,
00:52:57.260
I'm pretty sure you'd see a reduction in risk. Monounsaturated fats, there appears to be a
00:53:02.260
reduction in risk of cardiovascular disease. It appears to be not quite as powerful, at least in
00:53:07.440
the cohort studies. But again, since we have to substitute something, let's make it very basic.
00:53:15.700
Even if there was no net, if polyunsaturated fats didn't do anything cardioprotective, it's still
00:53:22.240
cardioprotective in that when you put them in in place of saturated fat, you have improvements in
00:53:27.820
outcomes. I would argue that there are mechanisms in place that explain why polyunsaturated fats
00:53:32.640
are cardioprotective. My point I'm making is I think it's difficult to disconnect those two
00:53:37.800
questions. Do we know if the Cochran analyses on this question have blended and included the studies
00:53:46.060
across those that contain trans fats and those that don't? The one from 2017? Yeah. When they look at
00:53:52.000
all the PUFA versus SFA studies? No. So they specifically excluded ones that were
00:53:57.420
confounded by trans fats. Ramsden had one where it included basically all of them,
00:54:02.640
net effect being null, nothing. And when he pulled out the ones that were confounded by omega-3s,
00:54:08.920
they showed a negative effect of polyunsaturated fats. With trans fats still in? But with trans
00:54:13.760
fats still in. Okay. And Cochran had no trans fats. No trans fats. But did have omega-3s. But did
00:54:19.520
have omega-3s. And had a slight benefit to PUFA. Yeah. Well, pretty decent. I think, what did you say
00:54:24.560
it was? It was 20, I want to say it was like 23%, or no, 31%. Yeah, 29 or 31. Okay. Yeah. Yeah.
00:54:30.360
Somewhere around there. I apologize for not remembering the raw numbers. There's a lot
00:54:34.340
floating around in there. Has anybody done the analysis of excluding omega-3, excluding trans
00:54:40.440
fats? Well, I mean, you're basically down to- I know you're down to very few studies. I think
00:54:44.220
you're down to like two studies. I just want to ask a question. I apologize to interrupt.
00:54:49.540
That's good. When you say omega-3s, are you talking linoleic acid or are you talking EPA DHA?
00:54:57.640
I believe they're specifically talking about the EPA DHA. But I know like alpha lino-
00:55:02.960
Alpha linoleic acid. Yeah. Yeah. Alpha linoleic acid is omega-3 as well.
00:55:06.820
Alpha linoleic acid doesn't- Although no, that was part of it. That was part of it as well.
00:55:10.880
Because it doesn't convert very efficiently to EPA and DHA. So does that mean that these
00:55:16.400
studies that contain omega-3s are going out of their way to supplement with EPA and DHA,
00:55:22.300
which of course you can really only get in high quantities from marine sources?
00:55:25.260
It wasn't clear in the research literature I read. It was just basically like, yeah,
00:55:30.520
there was some omega-3s in the diet. There's basically, I think, two studies that were not
00:55:35.740
confounded by trans fats, not confounded by omega-3s. And that was the Finnish study that
00:55:39.900
we talked about. And then STARS, which STARS was not looking at hard cardiovascular disease endpoints.
00:55:46.860
This was looking at plaque progression. So I believe this was a one-year study and they looked
00:55:52.000
at either people doing low saturated fat, higher polyunsaturated fat versus higher saturated
00:55:56.660
fat, lower polyunsaturated fat. And they looked at the progression of plaque. So not hard outcome,
00:56:04.340
but I would say that the strength of this is since you are looking at the progression of what we know
00:56:10.880
causes these myocardial events, even if you don't have a myocardial event, you can get a really good
00:56:17.680
idea of what's going on. And so, for example, and I'm just going to make a hypothetical here,
00:56:22.940
you could have somebody in one of these other studies where they got right up to the point
00:56:27.020
where they got like a 99% blockage, but no myocardial event in the time where they were
00:56:31.620
measuring it. And they just came up as that's a risk reduction. But in reality-
00:56:37.520
Right. So the benefit of this is you still get a harder endpoint than just biomarkers,
00:56:42.860
but you can get a little bit more granular than just looking at, I guess, the way to describe
00:56:47.380
mortality and cardiovascular disease events as big blunt instruments.
00:56:51.820
So let's talk a little bit more about these mechanistic things now, because again,
00:56:55.480
most of these trials were done with a brute force tool of like the hardest outcome is all-cause
00:57:02.200
mortality. But again, that's a high bar. When you do clinical trials, you trade off between outcome
00:57:08.200
and barrier to outcome, for lack of a better term, right? So if you want to use all-cause mortality,
00:57:13.840
that is the ultimate measuring stick, but it's a high bar to clear. And then you can go disease-specific
00:57:19.040
mortality. Okay, we're now going to look at coronary death. Then you can go one step lower,
00:57:23.240
and an example would be MACE, major adverse cardiac events, where we're going to use heart attack
00:57:27.700
and stroke and cardiac death. And then you can go one step below that and say, well, we're just going
00:57:32.300
to look at a change in cholesterol, or we're going to look at a change in LDL cholesterol.
00:57:35.780
And you get more and more insight into disease process, or I guess below MACE,
00:57:40.400
you would go disease progression would actually be your next thing.
00:57:43.560
Yeah, yeah. Let's go from the macro to the micro.
00:57:46.820
Before we do that, you may disagree, but I think now would be a good time to talk about
00:57:50.600
the Mendelian randomization studies, unless you want to do progression first, or unless you want
00:57:56.840
Okay. Do you want to talk about Mendelian randomization through the lens of LDL?
00:58:00.460
Well, yes. Okay. So first off, I think it's important to point out why I'm bringing this
00:58:06.040
up now. Because when it comes to these studies, I think that these are the most powerful. Because
00:58:11.200
as you mentioned, mortality is a difficult outcome to get. It's a high bar to clear.
00:58:16.200
The benefit to Mendelian randomization is that essentially you have a lifelong randomized
00:58:21.000
control trial. Now, Mendelian randomization takes advantage of the fact that at birth, genetic
00:58:27.000
variants are randomly assigned. So in a research study, if you and I are in a research study,
00:58:31.960
Peter, the researchers are just going to, through whatever randomization process they
00:58:35.580
have, okay, Peter, you're doing this. Lane, you're doing this. Completely random. Mother
00:58:40.080
nature actually does that by design, which we now know identified, I think around a dozen
00:58:45.860
variants that will essentially change your LDL cholesterol levels. They're variants that deal
00:58:53.220
with LDL clearance, LDL production, how much cholesterol you absorb. There's all different
00:58:58.440
kinds of variants. Now, the benefit to this is you can look at someone's lifelong LDL cholesterol
00:59:04.680
exposure and attempt to see what is the risk of mortality and cardiovascular disease. That
00:59:12.080
is very powerful. And these are studies where some of these have hundreds of thousands of people
00:59:16.800
in them. And again, the randomization of this process by nature is so important because now we
00:59:25.480
can, if we see differences between groups, we can assume it's due to that assignment of that genetic
00:59:32.160
variant versus some kind of confounding variable. Now, there's a caveat here, which is for a Mendelian
00:59:40.140
randomization to be useful, a couple of things have to be true. What you said has to be true.
00:59:44.840
There has to be genetic assignment to the variable of interest. That's true for many things. It's true
00:59:51.360
for height. It's true for body composition. It's true for many psychiatric disorders. I mean,
00:59:57.420
there's lots of things for which genetics play a significant role. And LDL cholesterol turns out to be
01:00:04.060
one of them. But this is the other important thing that people often forget when talking about MR,
01:00:08.860
which is that those same genes cannot have a direct impact on another variable that affects
01:00:17.820
the outcome of interest. Because if they do, your randomization just got wonky.
01:00:23.520
For sure. And that's why they do tests for pleiotropy, which we talk about. And when I talk
01:00:28.880
about the results, I'm going to explain why it's very unlikely that these differences were due to
01:00:32.880
pleiotropy. But it does require us to make one assumption. And this may seem ticky-tacky,
01:00:38.220
but I'm trying to be logically consistent here. Which is, this is not a lifelong test of saturated
01:00:44.260
fat versus polyunsaturated fat. This is a lifelong test of what we expect to happen to LDL cholesterol
01:00:50.280
by substituting polyunsaturated fats for saturated fats.
01:00:53.720
Stated another way, this is a test of LDL causality.
01:00:58.980
It's a leap to then make the statement about what does nutrition do to this. I'm going to give
01:01:04.520
you another example of this that is off the beaten path, but related to LDL, but unrelated to our
01:01:09.480
topic. And I believe I included this in my book, although it may have got left on the editing floor.
01:01:15.400
I know I wrote about it. I can't remember if it made the final cut. And it came down to the question
01:01:19.480
of, so this is me taking off my debate hat and just doing an aside on MR because it's interesting.
01:01:25.280
A handful of studies showed that people with lower cholesterol were more prone to cancer.
01:01:30.880
And so the concern became, well, gosh, we shouldn't be lowering people's cholesterol
01:01:34.420
in an effort to prevent heart disease if it increases the risk of cancer. And of course,
01:01:39.540
on average, that didn't seem to be the case, but there was always one study that might've
01:01:43.160
suggested that. And you never knew if there was a confounder because cancer, you weren't
01:01:46.620
randomizing to find that. So this is where MR became potentially valuable, provided you believe
01:01:52.040
that the genes that regulate cholesterol, synthesis, absorption, and LDL receptor expression don't
01:01:59.260
also regulate a cancer process. And if you believe that, then the Mendelian randomization was quite
01:02:05.380
clear that there was no relationship, neither good nor bad, between LDL, cholesterol, and cancer.
01:02:13.600
So that meant that LDL had no causal role one way or the other on cancer, whereas, as you'll probably
01:02:23.420
So that's a great explanation. And I think it took me a while to wrap my head around Mendelian
01:02:28.380
randomization when I first started reading about it. But these really were the studies that made me
01:02:32.320
change my mind on LDL. I want to point out the strengths to this. Lifelong exposure, which based
01:02:38.720
on the lipid hypothesis, we would expect to see a linear effect of lifelong exposure to LDL on the risk
01:02:45.480
of cardiovascular disease and mortality. And you can get a large number of subjects for their lifetime.
01:02:52.940
And it's randomized. So it's not a cohort study. Those are the benefits. The one downside is, again,
01:02:58.420
we're having to make a leap of, okay, we're not directly measuring people eating saturated fat versus
01:03:02.920
polyunsaturated fat. But I would say that this leap is pretty small because it is very well established
01:03:08.880
that increasing saturated fat intake increases LDL cholesterol and increasing PUFAs decrease LDL
01:03:16.140
cholesterol. And raising PUFAs and lowering saturated fat significantly decrease LDL cholesterol. I think
01:03:22.460
in most studies, you get like around a 15% change in LDL cholesterol from substituting in polyunsaturated
01:03:28.860
fats for saturated fat. Now, I will tell you, there's a paper from, I think it's Forenz in 2012.
01:03:35.520
It was the first big MR study with cholesterol. And if you look at the figure where they take
01:03:42.140
all the genetic variants and you look at how the line goes almost straight through it. I mean,
01:03:48.860
we're talking about an R of probably above 0.9, which in studies like this, that is an incredible
01:03:55.420
association for every one millimole reduction in LDL. Which is about 37 milligrams per deciliter.
01:04:02.940
It's 39.4 milligrams per deciliter. Yeah. There was a 50 to 55% risk reduction in cardiovascular
01:04:09.880
disease. Again, the pleiotropy argument is pretty much null and void because it didn't matter what
01:04:15.600
kind of variant it was. If it increased LDL clearance, if it decreased production, no matter
01:04:22.340
how it affected the metabolism of LDL cholesterol, it had the same dose effect. The only exception to that
01:04:30.520
was some of the CETP variants, which when it came to drug trials as well, CETP variants,
01:04:36.540
basically, I believe they raise HDL and they lower LDL. But, and here's the big point,
01:04:41.460
the lowering of LDL with those variants and those drugs, it lowers the cholesterol mass,
01:04:47.860
but there's a discordant lowering of ApoB or LDL particle number. So every single LDL particle
01:04:55.520
has an ApoB protein on it. And when we get into the mechanisms, this is going to be very central to
01:05:00.540
the lipid hypothesis. If you lower cholesterol mass, but your ApoB doesn't drop that much,
01:05:06.020
you basically have just made each particle smaller. And what we see is in that particular
01:05:12.060
subset of variants, there is a small risk reduction, but it's basically explained by the
01:05:17.460
small decrease in ApoB. You don't get the predicted risk reduction that you would get
01:05:22.460
with reducing LDL cholesterol. But amongst the variants that decrease LDL and correspondingly
01:05:28.960
decrease ApoB, it is a very, very consistent effect. Again, regardless of the genetic variant,
01:05:36.080
it has the same risk reduction. And then when we look at the statin trials, regardless of the way
01:05:41.400
that LDL cholesterol gets lowered, and there's different statins that work different ways,
01:05:45.940
it is the same dose response, which is about 22%.
01:05:48.460
Yeah. So I was going to ask you, why do you think that when we look at the totality of the
01:05:54.920
Mendelian randomization, and Tom Dayspring has a figure that lays every single MR study,
01:06:02.940
every single RCT study, and every single observational epidemiology study on the same
01:06:09.680
graph with three lines, basically the linear regression through each. And what do you think
01:06:16.000
is the best explanation for the following observation, which is when you do all of the MR
01:06:19.940
studies, and just again, so people, especially because most people are listening to us, not
01:06:24.220
watching us, so I don't want to use my hands too much, but on the x-axis, you have LDL concentration,
01:06:29.840
and on the y-axis, you have mortality or cardiovascular mortality. And as you pointed out,
01:06:35.400
these lines are just going straight down, meaning as LDL cholesterol is going down, either genetically
01:06:42.500
or through drugs, cardiovascular mortality is going down. But why is it that in the MR study,
01:06:49.680
which in theory would be the most pure study, every millimole or every roughly 40 milligrams
01:06:55.200
per deciliter reduction in LDL cholesterol is giving you 50 to 55% reduction. But when you do the same
01:07:02.160
thing with a statin, you still get a benefit, and that benefit appears non-ending, but it's only 22%.
01:07:08.500
Doesn't that tell us that statins are bad? Well, again, as you mentioned, there's still
01:07:12.820
a risk reduction. Yeah. Let me state it another way. Does that suggest that while statins are net
01:07:18.480
positive, they're doing something bad? So this is because think about when people are getting on
01:07:25.360
statins. So I say this as somebody, my bias should be that I hope that LDL cholesterol is not bad because
01:07:31.800
my whole mother's side of the family runs high LDL, even with low saturated fat diet, even with high
01:07:37.820
dietary fiber intake, I run about 150. I started taking a statin when I was 40 years old. But my
01:07:44.020
endothelium, my blood vessels have already had 40 years of LDL exposure at that level. And so even if
01:07:52.960
I get on a statin at age 40, every single day to the day I die, there is still some LDL cholesterol
01:07:59.780
that has penetrated that endothelium and has contributed to some degree of atherosclerosis.
01:08:06.980
I mean, I had a coronary calcium score done. It was pretty low. Overall, my net risk was very low for
01:08:12.240
my age because I have good insulin sensitivity, all those sorts of things. Important to point out as
01:08:16.260
well, when we're talking about LDL, we're not saying everything else doesn't matter. This is an
01:08:20.260
independent risk factor is what I'm saying. Insulin sensitivity, metabolic health, all those things
01:08:24.600
still matter. These are not mutually exclusive. But when you have a genetic variant that lowers LDL
01:08:31.080
from the day you are born, your entire circulatory system is exposed to less LDL cholesterol. And when
01:08:38.400
it comes to how much gets into the intima, it is concentration dependent. And it's basically dependent
01:08:46.200
on the number of particles in your bloodstream with ApoB that are under 70 nanometers. Because
01:08:54.900
any lipoprotein under 70 nanometers in diameter with an ApoB can penetrate the endothelium and get
01:09:02.500
retained there. So when it comes to these Mendelian studies, the reason you see such a powerful effect,
01:09:08.260
it's just a time effect. Because most people, when are they getting, I don't know what the average age
01:09:11.600
is somebody's prescribed a statin, but I'm imagining it's probably around my age. Yeah.
01:09:14.800
Yeah. So you're really just looking at the difference in like that investment analogy we
01:09:20.000
used earlier, 40 years, you'll see a big difference. But if you start investing from the day you were
01:09:24.620
born in 70 years, you're going to see a massive difference due to compounding interest. And while
01:09:30.680
it may be kind of a rudimentary comparison, these problems compound over time. And so what you're doing
01:09:36.520
with somebody who has high LDL, put them on a statin, you're obviously like pumping the brakes,
01:09:42.420
but that truck still started rolling down the hill. Whereas with people who have lifelong low LDL,
01:09:49.960
I want to point out one more thing. Important to point out, there was a regression. They looked at each
01:09:54.020
one millimole reduction. So regardless of the variant, same reduction. And in the drug trials,
01:10:01.760
the statin trials, regardless of how the statins worked. Also with surgeries, like I think it was
01:10:09.200
a little bypass or things that reduce LDL through absorption.
01:10:13.600
No, I think different drugs that are independent of the mechanism by which LDL is lowered.
01:10:20.800
And then also with dietary reduction of it in terms of the risk when they look at some of these cohort
01:10:25.900
studies. If you want to argue it's pleiotropy or you want to argue it's possibly something
01:10:31.460
else, it's a really hard argument to make when it is a very consistent effect and the dose is also
01:10:39.080
very consistent. When we talk about converging lines of evidence.
01:10:43.240
There's an argument to be made, which is not necessarily the argument we're having today.
01:10:46.460
I won't even attempt to steel man it. I'll just state it. The argument is that if you look at all
01:10:51.220
the literature of statins and you see reduction in mortality, that doesn't mean that it's because
01:10:57.380
it's lowering LDL. It could be because it's doing something else. It's lowering inflammation
01:11:01.700
or it's doing something else. And you're arguing that that's a tough argument to make in light of
01:11:07.460
all of the MR coupled with all the clinical trial data.
01:11:10.980
If that was the case, you would see a difference in the dose response. You would see inconsistencies
01:11:17.000
in the trials with similar designs. I'll give a comparison that's kind of out of left field,
01:11:21.880
but maybe it'll make the point. And that is, for example, I don't believe that unprocessed red meat
01:11:28.240
specifically is inherently carcinogenic. And the reason is, even though you see it come up as
01:11:36.140
carcinogenic in some of these cohort studies, the effect isn't always consistent. And when they
01:11:41.700
control for overall diet quality, where people are eating enough fruits and vegetables, because again,
01:11:45.900
if people eat more of one thing, they tend to eat less of another. When you control for some of the
01:11:50.160
overall diet quality variables, you don't really see a consistent associated of red meat with cancer.
01:11:56.180
Now, I could be wrong, but I'm just not convinced by it. But when it comes to dietary fiber's effect
01:12:01.960
on cardiovascular disease and cancer, there's a dose response and it is very consistent in the
01:12:08.700
research literature. In fact, I'm not really aware of hardly any study looking at dietary fiber
01:12:14.860
and reducing the risk of cardiovascular disease, cancer, and mortality that doesn't show a benefit.
01:12:20.160
If there's a forest plot of all the studies out there, everything is going to be the protection
01:12:24.880
side. When you have that consistency, even though you could argue, well, it could be other things,
01:12:30.140
it could be other things. I guess if you want to make the whataboutism argument, it's hard for us
01:12:35.380
to ever actually say something causes something else. I mean, maybe it's not the smoking that causes
01:12:41.740
lung cancer because we can't really do randomized control trials on smoking because it wouldn't be
01:12:48.680
ethical, but we feel very strongly because of the dose effect and because of the consistency of the
01:12:53.280
results. So I get that argument that can be made, but I guess I would say, well, then what do you
01:13:01.840
think it's doing? What would explain this very consistent effect? It typically just ends up being
01:13:07.120
an argument of, well, you don't know for sure. And it reminds me of in graduate school, I was giving a
01:13:12.480
talk on leucine content of dietary protein sources, and we did a dose response experiment
01:13:17.800
with different dietary protein sources that varied in the leucine content, and pretty much showed almost
01:13:23.440
a perfect association between the amount of leucine in those protein sources, the ability of those
01:13:29.100
protein sources to increase plasma leucine, and the effect on protein synthesis. And I had people
01:13:34.140
that were other scientists in the audience say, well, but you can't say that. These other protein
01:13:37.880
sources, they have different other amino acids in them. It's not just leucine. There's other things
01:13:41.860
that are changing. And I said, okay, do you have anything else that would explain this? It was kind
01:13:47.840
of like they didn't really have much to say. And so yes, I grant that it's possible. It's just highly
01:13:53.700
improbable based on the data. Okay. So what about the idea though, that if you're eating a diet that's
01:14:00.260
high in polyunsaturated fats or seed oils to be specific, we acknowledge now you're getting a lot of
01:14:05.940
linoleic acid. Well, you now have LDL particles. Maybe you have not only fewer of them, but they
01:14:14.640
have more linoleic acid in them. And linoleic acid can easily be converted to arachidonic acid,
01:14:22.480
which is inflammatory. And we know that the single most important part of atherosclerosis is indeed the
01:14:29.320
oxidative inflammatory process. In fact, people don't die because their coronary arteries just
01:14:35.840
slowly get occluded. They die because the body in an effort to repair and respond to the oxidative
01:14:44.680
damage in the artery walls creates an immune response. So inflammation here is the game.
01:14:52.240
So are you not concerned with the fact that a diet that is high in linoleic acid, which is the
01:14:58.340
precursor to arachidonic acid, is going to lead to more inflammation, more oxidative LDL, and therefore
01:15:07.500
ultimately more atherosclerosis, even if you see lower LDL cholesterol? So this is going to be the
01:15:14.420
really fun part of this talk because I learned so much about this through researching this stuff.
01:15:20.600
Let's just take the broad 10,000-foot view first, and then we'll zoom in on the mechanisms and talk
01:15:27.160
about the lipid hypothesis because it's important to understand what it is and how this disease
01:15:32.900
progresses so that then we can unpack all these side quests. And I'll take what you said a step
01:15:38.780
further. Precursor to arachidonic acid, which is a precursor to prostaglandin production, which are
01:15:43.760
inflammatory. Also, and you did briefly mention this, polyunsaturated fats, much more prone to
01:15:49.300
oxidation than saturated fat. And we do know oxidized LDL is more atherogenic on a per-particle
01:15:56.100
basis. And people who have MIs, people who have cardiovascular disease, they have higher levels of
01:16:02.900
oxidative LDL. So really, when we nail it down, I believe that's one of their big core arguments is
01:16:09.100
when you substitute polyunsaturated fats for saturated fats, you are creating an unstable
01:16:15.480
lipoprotein, more prone to oxidation, and that is what is going to cause this disease to really
01:16:21.920
progress. Let's unpack this a little bit. From a 10,000-foot view, if that were true, what we would
01:16:28.460
expect to see is people who eat more linoleic acid have higher rates of heart disease. And what we see
01:16:35.460
is the opposite. I think there was a study that came out, a cohort study looking at like,
01:16:39.800
I think it was over a million people from various different countries showing that people who had
01:16:46.180
higher levels of linoleic acid intake had lower levels of cardiovascular disease.
01:16:52.240
What was that a substitute for? This was a free living study, right?
01:16:55.340
This cohort. So they're just looking at how much do linoleic acid do people eat?
01:16:59.660
And what was the primary source of the linoleic acid?
01:17:02.020
I'm not sure. I think they just looked at overall dietary linoleic acid
01:17:05.100
If I really dug back into the paper, they might list some of the primary sources.
01:17:09.500
But of course, these people are probably substituting linoleic acid because they're
01:17:16.060
Healthy user bias. What I would say when it comes to healthy user bias, what you typically see is like
01:17:22.800
no effect of something that should be bad or it'll be inconsistent in the research literature.
01:17:28.620
But it's hard to argue converging lines of evidence. If your position is that CEDOLs are uniquely
01:17:34.560
deleterious, it's hard to argue converging lines of evidence when one of the major things you really
01:17:40.300
should see is if people eat more linoleic acid, the effect should be so powerful. If they're the
01:17:44.800
primary driver of cardiovascular disease, which is what some of these people claim, that effect should
01:17:48.800
be powerful enough that even if they were doing other healthy behaviors, that you should still see
01:17:55.700
something and certainly not a protective effect. To take it one step further, because dietary recall studies
01:18:01.200
are problematic. Anybody who's ever done some of these knows. I mean, I don't even remember what I
01:18:05.820
ate yesterday. But one of the great things about the fatty acids you eat, the essential fatty acids
01:18:11.200
you eat, is if you eat more of them, it shows in your tissues. If you take an adipose tissue sample,
01:18:16.600
if you take a blood sample, you will see more of that essential fatty acid incorporated into your
01:18:23.360
lipid, your phospholipid bilayer of your cells.
01:18:26.500
And indeed, in studies where they look at tissue amounts of linoleic acid, they see the same thing,
01:18:33.600
a reduction in risk of cardiovascular disease. So this is from a 10,000-foot view. To me,
01:18:38.800
that's a pretty damning thing right off the bat. And what I would say is, if you're going to argue
01:18:43.320
that polyunsaturated fats are bad for you, you're going to argue that saturated fat is really bad for
01:18:47.840
you. Because if, again, I think that's where logical consistency is important. If the data existed
01:18:54.180
showing people who ate more saturated fat had lower rates of cardiovascular disease,
01:18:59.360
if you even thought about talking about saturated fat being bad, the people in the anti-seed oil camp
01:19:05.220
or carnivore camp would lose their minds. And so it's kind of like this picking and choosing of
01:19:10.160
what data I want to talk about that fits. So we don't see that. We also don't see that when people
01:19:17.040
eat more linoleic acid, they don't produce more economic acid. That conversion apparently is already
01:19:22.720
kind of at saturation. Just eating more linoleic acid doesn't have a feed-forward effect.
01:19:28.720
You're not actually getting more arachidonic acid production. So I think the prostaglandin pathway
01:19:33.980
is not something we really need to be too concerned with. Because again, we'd expect to see increasing
01:19:39.240
amounts of arachidonic acid. Now this is where I think the oxidized LDL is the argument that I
01:19:45.220
struggled with the most before I really dug into this. So I'm going to talk about the lipid hypothesis,
01:19:49.480
and then I'm going to also talk about why it's so important to understand where LDL gets oxidized.
01:19:55.480
So the lipid hypothesis basically states that really any non-HDL cholesterol that is under 70
01:20:02.800
nanometers in diameter, which VLDLs can fall into that, LDL obviously falls into that, IDLs can fall
01:20:09.640
into that, depending on the IDL. But basically any lipoprotein that contains an ApoB molecule,
01:20:17.440
or an ApoB protein, that the lipoprotein is under 70 nanometers in diameter, can penetrate the
01:20:23.120
endothelium. Now just penetrating the endothelium and getting into the intima, and this is concentration
01:20:27.840
dependent, and this has been very well established in the mechanistic literature, but just penetrating
01:20:32.580
the endothelium is not enough to cause progression of cardiovascular disease because those molecules
01:20:39.360
can come back out into the bloodstream. What can happen is that ApoB molecule, or that ApoB
01:20:45.820
protein, can be enzymatically modified into a proteoglycan. Basically enzymes inside the intima
01:20:55.580
can act on that ApoB. That enzymatic modification causes that LDL or VLDL or whatever particle it is
01:21:04.240
to be retained inside the intima. Once retained, that causes an oxidation. Oxidation can increase
01:21:11.760
on those lipoproteins. That can attract macrophages, as you pointed out, the immune response. Those
01:21:19.860
macrophages begin to engulf some of these. These LDL particles can start to clump together, or VLDL
01:21:27.080
particles or whatever particle. They start to clump together in a process called aggregation.
01:21:31.840
Macrophages infiltrate inflammation, trying to, again, repair this. But those macrophages,
01:21:38.580
then engulfing them, this produces foam cells. And over time, you also get more, I think the smooth
01:21:46.680
muscle starts to thicken as well. And this is eventually what's leading to kind of this closing
01:21:51.780
of the blood vessel. Now, oxidation is part of this process. One of the core components that you
01:21:58.700
mentioned of this anti-seed oil hypothesis is that, okay, if you have lipoproteins that have more
01:22:03.440
polyunsaturated fats, they are more prone to oxidation. That is true. But we need to understand
01:22:08.640
where oxidation is occurring. I think anti-seed oil people would have you believe that the
01:22:13.760
oxidation occurs in the plasma, and that those oxidized LDLs in the plasma, those penetrate the
01:22:19.720
endothelium, and that causes the progression of cardiovascular disease. Less than 1% of LDL
01:22:25.380
is oxidized in the plasma. Because LDL is mostly cleared pretty quickly from the plasma. It's like
01:22:32.300
an hour or two. It's on the time course of hours. Once ApoB is enzymatically modified, that LDL,
01:22:38.580
that can be retained for weeks. And in your plasma, you have antioxidants, vitamin E, vitamin C,
01:22:46.400
beta carotene. Those stabilize those polyunsaturated fats, and you don't really have that much
01:22:52.640
oxidation occurring in the plasma. But in the microenvironment of once it penetrates the
01:22:58.440
endothelium, gets inside the intima, in that microenvironment, it's thought that those antioxidants
01:23:04.620
are not as available. And so the oxidation can begin to occur there.
01:23:10.380
So what's the proof? So you're saying that because plasma ox LDL concentration is such a small fraction
01:23:18.520
of total LDL concentration, say 1%, that means that we're not getting a lot. But it could be a lot
01:23:25.080
if that 1% disproportionately aggregates inside the subendothelial space. I mean, you don't need a lot
01:23:31.600
of LDL particles to cross the endothelial barrier, right?
01:23:35.100
I'm glad you brought up aggregation because that's important here. So remember when I said there can be
01:23:39.740
positive and negative aspects that you activate for any nutrient you're talking about. So aggregation,
01:23:46.800
once you have LDL inside the intima and you have this oxidation occurring, you have these things
01:23:52.500
occurring, aggregation is how these cells clump together. Lipoproteins that are enriched with
01:23:58.320
polyunsaturated fats per particle, they are more prone to oxidation. Yes, inside the intima. But keep
01:24:05.520
in mind, what gets into the intima is concentration dependent. Polyunsaturated fats overall lower the
01:24:11.680
amount of LDL getting into the intima. So you have less getting in, less being accessible for
01:24:18.800
oxidation since it occurs there mostly, not the plasma. But a bigger point is there's other aspects
01:24:25.480
of these lipoproteins that make aggregation happen. So when we talked about polyunsaturated fats
01:24:33.400
increase membrane fluidity, one, that actually helps with LDL receptor recognition. It helps LDL get
01:24:39.560
cleared so you have less in the bloodstream. But two, the ApoB molecule itself is less prone to
01:24:46.940
enzymatic modification on LDLs that are enriched with polyunsaturated fats compared to saturated fat.
01:24:53.320
Further, LDL molecules that are enriched with saturated fat, their membranes are stiffer and more
01:25:00.300
rigid because of the packing that we talked about. Whereas those enriched with polyunsaturated fats
01:25:05.940
are less rigid, they're more fluid. And that has a big impact on aggregation. There's an enzyme called
01:25:14.060
sphingomyelinase, which when it acts on a saturated fat enriched LDL molecule inside the intima,
01:25:21.580
it rapidly produces ceramides. And those ceramides actually, for lack of a better term, can collapse
01:25:28.420
these particles and cause them to clump together much more readily. So all that to say, oxidation is
01:25:36.220
part of the process of aggregation, but how much those aggregate is a more important factor than
01:25:42.680
oxidation of PUFAs. Because the oxidation is bad because it increases the aggregation of these
01:25:49.560
molecules. So the overall effect is, okay, polyunsaturated fats decrease the number of particles
01:25:57.040
that are getting into the intima. They also overall decrease them being retained there,
01:26:03.260
the ApoB is less prone to modification, and they are less prone to aggregation if they are retained
01:26:08.680
there compared to lipoproteins that are enriched with saturated fat. So think of it this way. I really
01:26:15.220
spent a lot of time trying to come up with an analogy for this because I realized a lot of people who are
01:26:20.120
listening to this, their heads are probably spinning because mine was spinning when I was reading about
01:26:23.380
this at first. Think about the LDL cholesterol in your bloodstream, or let's just say ApoB containing
01:26:28.300
particles in your bloodstream, being a bonfire. And there's a whole forest around it. Now the forest
01:26:33.200
around it is your blood vessels. And if you start a forest fire, that's cardiovascular disease.
01:26:39.080
Now, bonfires, they give off sparks. Let's say each spark is an LDL particle. You don't want the forest
01:26:45.720
to catch on fire. If you have polyunsaturated fat enriched fatty acids, maybe each individual
01:26:52.700
particle is a little bit more flammable, right? Or a little bit more prone to oxidation. But when you
01:26:59.780
eat high polyunsaturated fats versus saturated fat, your bonfire shrinks quite a bit. The amount of LDL
01:27:06.580
in your bloodstream shrinks quite a bit. You give off way less sparks, way less sparks hit the forest. And oh,
01:27:12.420
by the way, if I was being actually accurate, some of those sparks are much more likely to bounce back
01:27:17.160
into the fire compared to staying in the forest where they can start a fire. Also, these particles
01:27:23.280
tend to, even if they get into the forest, these sparks, they tend to not clump up and be prone to
01:27:30.700
causing a forest fire. They tend to scatter. That's polyunsaturated fat enriched lipoproteins. So even
01:27:37.260
though on an individual level, the sparks may be a little bit more flammable, the bonfire for saturated
01:27:44.240
fat is way bigger. It casts off way more sparks. And those sparks are more likely to clump together
01:27:51.760
and start a fire compared to the fire from polyunsaturated fats. That's about as good of
01:27:59.060
And you're rejecting my idea that even though only a small fraction of LDLs are being oxidized in the
01:28:08.560
periphery, that those ones don't disproportionately concentrate in their ability to either make their
01:28:15.940
way into the endothelial or subendothelial space and get retained. I feel like we're potentially
01:28:21.040
overlooking that as a potential driver, right? Because LDLs can traffic in and out of the subendothelial
01:28:25.760
space. So the question then becomes, what are the factors that would increase retention,
01:28:32.300
adhesion, oxidation, and then the cascading effects? And do we not believe that an oxidized LDL versus a
01:28:45.680
On a per-particle basis, yes. An oxidized LDL is more atherogenic.
01:28:53.380
Yes. I know it is inside, but I want to make sure we would agree that potentially it would
01:28:58.340
also be more atherogenic outside because it has a greater probability of becoming retained
01:29:04.080
and remaining oxidized and inciting the inflammatory response.
01:29:08.500
It's just such a small amount that gets oxidized.
01:29:11.400
Has anyone looked at a study where, you know, asked the question if you are on a high polyunsaturated
01:29:18.180
or seed oil diet versus a high saturated fat diet and you normalize for total LDL, which
01:29:23.540
obviously will be quite different, do you have an equal percentage of oxidized LDL in
01:29:30.960
Let's just assume you put somebody on a high saturated fat diet, somebody on a high seed
01:29:34.660
oil diet. And let's assume that the PUFA person, the seed oil person's got an LDL cholesterol
01:29:39.300
of a hundred milligrams per deciliter and the high saturated fat diet person is going
01:29:44.180
to be at 200 milligrams per deciliter. And let's just assume that that's concordant with
01:29:47.540
APO-B. So same number of particles, 2X the particles, 2X the concentration, I mean.
01:29:52.240
Do we expect there to be the same ratio or delta or fraction that's oxidized? Or do we think
01:30:00.120
that the person on the high seed oil is going to have disproportionately more ox LDL in the periphery
01:30:06.180
where you can measure it? And therefore is likely, even though their gradient is less
01:30:11.480
favorable, they might get more particles in there.
01:30:14.700
There was one randomized control trial. I think they fed soybean oil and saw oxidized LDL in
01:30:19.900
the periphery go up. But again, you're talking about like increasing from like, let's say,
01:30:24.860
and I'm making the numbers up, but it's on the order of, okay, normally maybe 0.5% is oxidized
01:30:30.060
and now it's 0.7, 0.8. That is such a small number compared to once a particle gets inside
01:30:37.400
the intima, the rate of oxidation can, I think the estimates I saw were anywhere from 30 to 80%
01:30:42.520
of those particles. And in fact, I actually had a long conversation with Tom Dayspring about this,
01:30:47.600
trying to understand it. Because if oxidized LDL in the periphery was really driving cardiovascular
01:30:53.900
disease, why have the studies where they give a bunch of antioxidants not decreased cardiovascular
01:30:59.160
disease? Because when we do that in animals, so they've actually done these studies, I think it's
01:31:04.100
in rabbits, where they'll put oxidized LDL into their bloodstream and they will see atherogenesis
01:31:11.220
progress. But when they do it with antioxidants, that doesn't happen. And that is because where most
01:31:17.360
of that oxidation is occurring is inside the intima. So your biggest lever to actually reduce
01:31:24.120
your overall amount of oxidized LDL is just to prevent as much getting into the intima and retained
01:31:30.920
as possible. And then when we look at people who have higher levels of oxidized LDL, it's typically
01:31:37.500
a downstream effect of how much LDL got into their intima in the first place. Because even after it gets
01:31:44.560
into the intima, retained for a while, oxidized, some of those oxidized molecules can still come
01:31:48.680
back out into the bloodstream. And so, yes, we do see people with greater amounts of cardiovascular
01:31:53.360
disease. Do we know if the oxidized LDL that we measure in the periphery was oxidized in the
01:32:00.560
periphery or is escaped LDL that was oxidized in the endothelial space? I don't know the exact answer
01:32:07.600
to that question because that would be difficult. You'd have to do some sort of metabolic tracer study.
01:32:12.120
Maybe you'd have to track it for a really long time, at least weeks to months to see if that
01:32:17.960
happens. I don't know for sure. I will attempt to answer the question as best I can. In people who
01:32:23.960
undergo myocardial infarctions, so where you have this kind of rupturing, they do see short-term
01:32:29.420
oxidized LDL go way up, coming out of the, presumably that's because it's coming out of the
01:32:34.920
intima since there's that rupture. But have they ever done a study to like kind of link it together
01:32:40.680
with like a stable isotope? I'm not sure about that. But again, I think the important point
01:32:46.560
is that the less ApoB that gets retained inside the intima, the less chance there is for overall
01:32:54.220
oxidation to occur. And really, aggregation is the endpoint that's much more important.
01:33:00.900
Oxidation is only bad, quote-unquote, because it's more prone to aggregate. But we know on balance
01:33:06.960
that saturated fat-enriched particles are more likely to aggregate than polyunsaturated-enriched
01:33:14.940
particles due to the differences in membrane fluidity, as well as the ability for ApoB to be
01:33:20.440
modified, and because of the sphingomyelin content and ceramide content of the saturated fat-enriched
01:33:26.840
molecules. So again, I would say, let's say I grant that those polyunsaturated fats per particle
01:33:32.820
more prone to oxidation. You're still having to weigh it against the other things that progress
01:33:37.840
cardiovascular disease. And on balance, you're still better off with the polyunsaturated fats
01:33:42.940
because they do lower the amount that gets into the intima. They lower the amount that gets retained
01:33:47.780
because it's less likely that ApoB will get enzymatically modified. And then those saturated
01:33:53.640
enriched particles, because they're rigid, because they produce ceramides, they're more likely to clump
01:33:57.500
together and cause that fatty streak and that lesion. Okay. So let's consider something else
01:34:02.960
though, which is for me to get a bottle of corn oil or any of the other seed oils on your table,
01:34:11.120
I have to do a lot of industrial processing. I have to heat these things up. I have to refine these oils.
01:34:18.380
I have to use industrial-grade solvents to extract them. It seems very likely that both of those
01:34:27.400
processes can contribute to the negative impact of them, independent of what we might see if we were
01:34:34.800
talking about something pure. In other words, everything we've talked about so far is assuming
01:34:39.020
a pure form of linoleic acid. But what if I'm now saying, yeah, but I'm going to heat, reheat, cool,
01:34:47.580
bastardize this molecule. And oh, by the way, I'm not going to be able to get all the hexane off this
01:34:52.220
molecule. And I needed to use hexane to extract it. We don't like to talk about it,
01:34:56.920
but food processing is big industrial chemistry. And what I would say is the actual processing
01:35:02.460
of the seed oils removes oxidants and removes some impurities that are maybe negative. There
01:35:10.540
are some things that do increase. We'll talk about that. But let's start with the hexane itself. So
01:35:16.060
to get the oils out of these seeds, you need to either do mechanical or chemical extraction.
01:35:21.400
Now, I think most people would say, well, I'd rather have the mechanical extraction, right? Because
01:35:25.320
less chemicals, but it is much more costly. The yield is lower and economics is a thing.
01:35:32.020
Is that an opportunity? Can you go into a grocery store and choose
01:35:35.240
to have safflower oil that was mechanically extracted versus chemically extracted?
01:35:40.720
I actually have no clue, but I would imagine there are probably places that do sell it.
01:35:44.780
For sure. For sure. So let's talk about why hexane is used. So they take these seeds,
01:35:48.460
they wash them with hexane. Why hexane? Well, hexane is a nonpolar solvent. And when you're
01:35:55.320
dealing with oil, polar solvents are much more popular because most things or most things that
01:36:00.940
we try to get are polar. Most things like to interact with water. It makes sense based on
01:36:04.540
our biology and our biochemistry. Oils are different. Oils you have to do very unique things to.
01:36:09.440
Hexane is a nonpolar solvent. So it will mix with these oils and it has a relatively low boiling
01:36:15.800
point. So you can evaporate it off. These seeds get washed with this hexane. It extracts the crude
01:36:23.060
oil. So now you've got the oil mixed with hexane. Well, now they bubble steam vapor through the oil
01:36:30.180
and that evaporates off the hexane. Now I will tell you that the steam and the temperature is
01:36:36.160
pretty low. In order to really start getting oxidation of seed oils, it depends on the oil
01:36:42.920
specifically. But most of them, you've got to be well over 200 degrees Celsius and you've got to
01:36:47.800
do it for hours. If we're talking about in like a large vat, I think I read like soybean oil, if you
01:36:53.520
heat it at like 240 degrees Celsius for like three hours, you will start to get a percent of the oil
01:37:01.280
being oxidized. But even after like five hours, it's still pretty small percentage points of
01:37:06.920
oxidation. And this process of removing the hexane is on the order of minutes or an hour,
01:37:12.380
90 minutes. Like it's a pretty short period of time. And hexane's boiling point is, I believe it's
01:37:17.820
69 degrees Celsius. So you only got to heat it up to a point a little bit above that to start getting
01:37:22.880
it off. Now, okay, can you get all of it off? Well, as anybody who's had basic chemistry, you know
01:37:28.440
that no compound you synthesize is 100% pure. I mean, you can get 99.999%, but you always have
01:37:35.800
residual atoms in there. You always have residual molecules in there. So the question becomes,
01:37:40.360
all right, how much hexane is in the end product and how much is required to cause harm? The hexane
01:37:46.160
in the end product, most of them are well under one part per million. In fact, a lot of them have
01:37:52.180
non-detectable levels of hexane, which means there's probably some in there, but the instruments
01:37:56.640
we have to measure it simply aren't sensitive enough to pick that out. So the amount of hexane in
01:38:03.300
these oils, I believe the research paper I read was anywhere from 0.05 to 0.5 parts per million for
01:38:11.640
most of these oils. Hexane specifically, the danger with hexane is not from ingestion. It's
01:38:18.060
actually from inhalation. So people who have had toxicity from hexane, it's from inhaling it.
01:38:24.480
When you actually look at how much hexane you'd have to get, I tried to look up hexane poisoning
01:38:29.380
cases where somebody died. It doesn't exist. There's a case where a guy drank, like literally
01:38:35.340
drank straight hexane and basically got a tummy ache. They've done rodent studies where they were
01:38:40.780
able to get toxicity and death, but basically just to get mild liver and neurotoxicity, it was 5,000
01:38:49.980
milligrams per kilogram of body weight. Now, when we do human equivalent dosage, that dosage becomes
01:38:57.100
smaller. But let me just put it in perspective as a bottom line. I did the calculation on this.
01:39:02.460
What you would need to consume from hexane to even have mild side effects, what you would need to
01:39:09.360
consume is 11,340 kilograms of oil at one time. Okay, but that's to die. No, that was for mild side
01:39:18.120
effects. Okay, but how do we know that the accumulation of hexane or some other industrial
01:39:24.020
solvent couldn't be leading to a chronic process? We've just talked about how all the diseases we
01:39:29.980
care about, whether it be neurodegenerative diseases or cancer or cardiovascular disease,
01:39:36.280
these things don't happen overnight. They don't happen in weeks, months, even years. Many times
01:39:40.720
they happen in decades. And so if we're talking about a lifetime exposure to these things, how do
01:39:44.800
we know that that's not increasing our risk? When we talk about lifetime exposure from something
01:39:49.180
like LDL, that's a relatively high concentration in our bloodstream. And it's always present. You
01:39:55.160
always have a baseline level of LDL. You don't really have baseline levels of hexane in your
01:39:58.920
bloodstream, I don't think, at least not to any appreciable level. And there is a process through
01:40:04.720
your body where your body converts this to something innocuous and gets rid of it. So really,
01:40:09.520
when it comes to things that don't, what we call bioaccumulate, the question is, if we have some of
01:40:15.100
this, is it in an amount that can be cleared quickly enough to where there's not negative
01:40:19.120
outcomes? And what I would say is, okay, the example I gave was the amount of oil you'd need
01:40:23.880
to consume to possibly get mild side effects. If anybody wants to, okay, say, let's just say your
01:40:30.880
body couldn't process this out. Who's drinking 11,000 kilograms of oil in their lifetime? I think
01:40:36.920
probably almost no one. So I just don't see the possibility for hexane having a negative outcome
01:40:44.180
for people, especially when you consider that it's a very, very low concentration. It doesn't
01:40:49.760
bioaccumulate and your body has a way to process it out. And the amounts that you get are incredibly
01:40:55.060
small from these seed oils. Okay. Now let's consider the fact that about a hundred years ago,
01:41:01.880
less than 3% of total food availability was made up of linoleic acid. Today, that number is,
01:41:09.560
I mean, it's probably closer to 10%. What I read, because I actually read a book that was
01:41:15.660
anti-seed oil because I was trying to understand the arguments. The figure they quoted was a 75X
01:41:21.440
increase in linoleic acid over the last like 150 years or so. Okay. That's even more than what I've
01:41:27.420
got. So that's an enormous increase. Huge. To make it even more stark, this means that we did not
01:41:33.820
evolve in an environment where people were consuming seed oils in much quantity at all.
01:41:39.000
And yet today, people are probably getting 10 to 15% of their total calories from these things,
01:41:45.500
right? Some people do. Yeah, for sure. And tissue levels are up more than a hundred percent.
01:41:51.380
Yep. Isn't there just sort of a first principles argument to be made here that says,
01:41:56.180
how would that be a good thing? How would that be anything but negative?
01:42:01.200
Yeah. And this kind of gets back to the, we're starting to tie into the naturalistic argument.
01:42:06.480
So what I will say is, again, you have to be logically symmetrical with how you approach these
01:42:10.380
things. And even people who think they eat natural these days, the human diet now is not in any way,
01:42:16.980
shape, or form what it used to be. So people will point out, well, look at how these vegetables and
01:42:21.480
fruits and plants have been modified. Yeah, but we've done the exact same thing to our animals.
01:42:25.360
If you think having a fatty ribeye is a ancestral diet, it's not. Those cows are much different
01:42:34.020
than they used to be. And it's not wild game. These are very different things. Take that out
01:42:40.120
of it for a moment though. Try to really zoom out and think about what is the purpose of biology?
01:42:45.900
The purpose of biology is to pass on your genetic material. So when it comes to survival and longevity,
01:42:52.720
and I'm sure you're very well familiar with this, there's a reason things start to kind of go
01:42:56.660
downhill after like age 40 or whatever. It's because you're past breeding age. Evolution's
01:43:01.380
done with you. You've done what you can do. You've passed on your genetic material. Hopefully you can
01:43:05.080
stay around a little bit longer to raise the next generation, but you've done your job.
01:43:08.920
The idea of longevity, living a very long life, that's not really something that's essential to a
01:43:16.820
species surviving or even thriving. Some of the most prevalent species on the planet don't live
01:43:23.660
very long. What matters is that they get to pass on their genetic material, that the favorable traits
01:43:28.540
are passed on in the genetic material. When it comes to cardiovascular disease, yes, rates of
01:43:34.720
cardiovascular disease have gone up because you actually have the chance to get cardiovascular disease
01:43:38.980
now because you're not killed by a virus or you're not killed by a warring tribe or you're not killed
01:43:44.840
by bacteria. Even if we go back into the 1860s, this book I read, one of the things that said was
01:43:52.320
cardiovascular disease is a 20th century disease. Didn't exist before that. No, it existed. People
01:43:57.700
just fell over dead and nobody knew why. And for the most part, people didn't have much chance to get
01:44:04.620
cardiovascular disease. I think you, forgive me if I'm wrong, but you stated basically if you live long
01:44:10.260
enough, everyone at some point will get some form of cardiovascular disease. It's just a time and
01:44:15.800
exposure issue as we talked about. This massive increase in cardiovascular disease, which, oh, by the
01:44:20.800
way, I point out that everyone lives longer now. I don't know if it dipped recently, but I think we're
01:44:24.720
still right around like the longest age lived on average. The point being, even in the 1860s,
01:44:30.980
if you live past age 10, I think your average life expectancy was still something like 55 to 60
01:44:38.160
years old. So most people didn't have the chance to get cardiovascular disease or they died from
01:44:43.640
something else. And again, I mean, this is back when we used to bleed people to try and treat them, get rid of
01:44:49.400
the toxic blood. We didn't have the tools to understand what we were looking at. This is one of those arguments
01:44:54.480
that people, when they say, well, everybody's sicker now, we're more unhealthy now. That's true. That is true.
01:45:00.460
But part of that is we just have had the chance to get unhealthy. And evolutionarily, I will also say
01:45:07.720
we're taking one step out like we do with the MR studies. But LDL cholesterol, high LDL cholesterol
01:45:13.020
is not ancestral. If we look at the best estimate we have of what our ancestors did, which is the
01:45:19.240
Hadza, which are basically a tribe that are essentially untouched by humanity. We have studied
01:45:24.780
them quite a bit because this is our best guess as to what ancestral was. The foods they eat,
01:45:32.040
it's about as untouched as you can get. If you look at the LDL of the Hadza, who have very low rates of
01:45:38.480
almost non-existent rates of cardiovascular disease, they're 50 to 70 on average. I think they even had
01:45:45.460
one Hadza who was like under 30. I think they only found one Hadza individual who is over 100 LDL.
01:45:53.640
I would argue, again, we're not talking about linoleic acid, obviously, but we do know that
01:45:57.700
linoleic acid lowers LDL. I would argue that what the anti-seed oil people would suggest should be an
01:46:06.120
ancestral diet is not supported by the evidence either. And so regardless, there's a reason naturalism
01:46:12.760
has its own fallacy associated with it. Because you can find a lot of things in nature that are
01:46:17.620
horrific toxins. You can find a lot of synthetic things that are quite good for you. And so I think
01:46:24.440
we tend to romanticize the past on every single level, right? Like we romanticize past relationships,
01:46:31.240
we romanticize like 50 years ago, things were so much better, there was less crime. And then when you
01:46:35.420
actually go pull up the FBI statistics, it's not even close. Crime is way lower now. But we romanticize
01:46:41.080
the past. And we romanticize how things used to be. And what I would say is that I don't think what
01:46:47.180
we think might be natural is necessarily a good barometer for what is conducive to living the
01:46:53.940
longest, healthiest life. I think you're kind of getting the order reversed. Mankind evolved in this
01:47:00.840
environment where I think one of the reasons we were able to thrive is we were some of the most
01:47:05.120
adaptable creatures out there. Obviously, smarter as well. But being so adaptable to our environment
01:47:11.180
helped us greatly. Because we used to think, well, the strongest survive. And really, we know it's
01:47:16.600
actually the animals that are most adaptive survive. So when we look at all the data together,
01:47:23.060
the question really shouldn't be, did we evolve eating seed oils? Or did we evolve eating this?
01:47:28.940
The question should be, based on the best evidence we have,
01:47:32.140
what is the overall net effect of these things? And I mean, again, like we were talking about the
01:47:37.560
processing earlier, I'll just run through a few more things. They say, you know, sodium hydroxide
01:47:41.600
gets used. There's very little of that in the end product. Activated clay gets used. Basically,
01:47:48.680
if we look at these things, the amounts that you would need to consume of this oil, and these are all
01:47:54.500
theoretical negative effects, assuming that, for example, pure sodium hydroxide stays in the end
01:47:58.620
component, which we know, it basically turns into soap and water. When you have a
01:48:01.980
chemical reaction, but even if the amount you put in stayed in there till the end, you still need
01:48:08.100
to eat two to 700 kilograms at one time of the oil. When we look at the end product of the oil
01:48:17.160
manufacturing process, it actually decreases the amount of oxidated. So there's a measure that can
01:48:22.540
use like a peroxide status to look at how much is in there. It goes down by a factor of about five to
01:48:27.820
tenfold. And then another measurement of like the aldehyde amount in the crude oil versus the actual
01:48:34.080
refined oil is much lower. Now, you do have, I think, polymerized trisoglycerides increase a little
01:48:41.220
bit. You do have some trans fats formation during this process. It's about 0.5% of the oil, but they're
01:48:47.080
all so low that it's very far below the threshold of what would cause negative effects. Now, there's no
01:48:52.740
safe amounts of trans fats, but again, we're taking this on balance. If we have this refined oil with a
01:48:58.740
very small amount of trans fat, but we know it lowers LDL so much, and then we have all the other
01:49:04.600
mechanistic data, what we call the converging lines of evidence, the mechanism is clearly elucidated.
01:49:10.760
The cohort trials agree with it. And then the studies that are not confounded by massive amounts of
01:49:16.160
trans fats agree. The Mendelian randomization trials agree. I guess the one other point I would
01:49:22.660
make is linoleic acid and polyunsaturated fats. When we trade them out in a one-to-one ratio for
01:49:28.800
saturated fat, they either have neutral or positive effects on inflammation, liver fat, insulin
01:49:36.160
sensitivity, and overall metabolic health. And that's been very clearly shown in numerous studies.
01:49:41.860
So again, if we boil down to it, regardless of what we think was an ancestral diet, which we don't
01:49:47.420
even know if that's necessarily the healthiest diet on balance, if you're going to make the argument
01:49:52.840
that polyunsaturated fats are bad, you have to be okay with the argument that saturated fat is really,
01:49:57.340
really bad. Okay. So how do we land this plane for folks? If you're out there and you're trying to
01:50:02.640
make sense of social media, you know, it's sort of funny. I was out at a restaurant recently and the
01:50:08.700
menu made a point to say there were no seed oils used in the preparation of the food.
01:50:14.480
So this is clearly a part of the popular zeitgeist. I'm pretty sure that the chef at that restaurant
01:50:21.420
isn't familiar with a single argument that has been made here today. So we're talking about an
01:50:28.360
argument that has sort of transcended a scientific discussion. So seed oils are culturally persona
01:50:36.520
non grata. The question is, is that warranted? You have, I think, fairly convincingly argued,
01:50:44.320
no. So for the individual listening to us, is there a precautionary principle? If someone says,
01:50:51.020
you know what, Lane, I've heard everything you've said. I can't poke holes in it, but why should I go
01:50:55.640
out and eat seed oils? What would you say to that person? I would say, okay, if you don't want to
01:51:00.960
consume seed oils, fine. But find something to displace the saturated fat in your diet with.
01:51:06.700
So leaner cuts of proteins, of meats, lower saturated fat sources of protein. And I guess
01:51:14.960
while monounsaturated fats don't seem to have the same effect on LDL cholesterol as polyunsaturated
01:51:21.360
fats, they do lower it when exchanged for saturated fats. They do appear to be cardioprotective to a
01:51:26.620
certain extent. It doesn't appear to be as cardioprotective as polyunsaturated fats. But if you are concerned
01:51:32.200
and you're not going to listen to logic that we've laid out here for three hours, then okay, try and
01:51:38.020
find some monounsaturated fats. So like olive oil, avocado oil, there's other sources of oils that you
01:51:44.820
could use that are still relatively cardioprotective or beneficial. And I didn't point this out when
01:51:52.380
talked about the processing. It should be pointed out that this is unique in that when these oils
01:51:56.820
are in a large volume, the rate of oxidation is low, even with heating. By the way, all the heating
01:52:01.980
in the processing of these oils is done under a vacuum, which means there's no oxygen, which means
01:52:07.880
virtually no chance for oxidation, even when heated. In restaurants, however, when you are frying
01:52:14.200
something, especially if you are frying in a thin layer of oil, the research shows going from like a,
01:52:20.300
I want to say it's like a one centimeter to like five centimeters of oil, huge difference in how
01:52:26.740
quickly oxidized and negative products will start to form. And if you are having oil that you are
01:52:34.540
frying, refrying in over and over and over, yes, certainly with a thin layer within 20, 30 minutes,
01:52:41.160
you can start to have significant amounts of these negative products accumulating. And then if you have
01:52:46.060
it in a vat and it's being heated all day, yeah, you're probably gonna have a significant amount of
01:52:52.520
So would we be better off when it comes to heating oil using lard? In other words,
01:52:57.580
if I'm gonna have French fries, should I at least have my French fries made in lard as opposed to
01:53:06.320
Let's just say, I understand that French fries are hypercaloric, and let's just put that aside.
01:53:11.600
I'm gonna have French fries sometimes. So when I do, do I want McDonald's going back to
01:53:17.080
lard, or do I want them sticking with whatever seed oil they're using?
01:53:22.080
That's kind of a hard question to answer, right? Because you have competing mechanisms at play here.
01:53:27.560
And if we don't have a human RCT looking at frying with one way versus frying with another way,
01:53:33.160
and I'm not aware of any, but maybe there will be some, maybe a young potential scientist listening
01:53:37.960
to this would want to do this. But looking at, okay, what happens with LDL and then the components
01:53:43.820
But you're answering this purely through an LDL lens.
01:53:47.680
Yeah. Is there any other reason to care? It just feels to me intuitively that at least when you
01:53:53.860
heat up the saturated fat, you're less likely to introduce more ROS and other things. And by the
01:54:00.080
way, if I can control my LDL through other means pharmacologically, do I really care about my
01:54:05.820
We'll touch on that here in a second. So yeah, the saturated fat's less prone to oxidation.
01:54:09.820
Again, when we're looking at balance, what's going to negatively affect cardiovascular disease the
01:54:14.140
most? I don't know. What I would say is, if you're going to have french fries, just have the french
01:54:19.800
fries. If you want to have it fried in lard, okay, fine, whatever. You can decide what you want to do.
01:54:24.920
You're basically saying, don't treat my fries in lard as health food.
01:54:27.840
No. That's actually a really important point you bring up. You have to understand, people think
01:54:32.580
food companies care about which foods you buy. They just want you to buy. And so the pivot to,
01:54:38.460
oh, we're going to have tallow or lard or whatever. Food companies don't care. It's okay. Well,
01:54:43.740
we'll just make those then. That's fine. Oh, you don't like red dye 40? Yeah, we'll take that out.
01:54:48.320
And then we'll market about how healthy our cereal is now. We're marketing how healthy our french fries
01:54:53.120
are. The danger becomes, this really only becomes a problem if you're consuming french fries pretty
01:54:58.500
regularly. And then we have to ask the question, all right, which is worse out of these two really bad
01:55:03.660
options. But when you're marketing as some kind of victory that, okay, we're using beef
01:55:09.400
towel or using lard or whatever it is, as opposed to seed oils. If you're not having this sort of
01:55:14.800
communication, people, what they're going to interpret that as is, oh, these are actually
01:55:20.440
healthier now. I can eat more of them. I think that's one thing I've realized as being so in tune
01:55:25.860
with the public and reading comments on social media over years and years and years. I realized how if
01:55:30.500
I'm not extremely careful with how I word things, how misinterpreted it can get. I think as
01:55:37.520
communicators, like in a format like this, this is great. And when you say like, how do people navigate
01:55:43.120
on social media? That's where it's really tough because it's not this, right? It's 30 seconds.
01:55:48.240
How can I hook somebody in? Five reasons why seed oils are toxic. That's going to get a lot of attention.
01:55:54.020
And they're going to list things that there is an element of truth to every single thing that they
01:56:00.380
say. But they are leaving out all of the context that we just put multiple hours into covering.
01:56:07.100
I mean, I hope this podcast gets listened to by hundreds of millions of people, but the likelihood
01:56:10.540
is pretty unlikely. What's more likely is somebody puts up a TikTok and it goes viral and 10 million
01:56:15.680
people see it. I think it's very difficult to communicate this stuff with the public. To them,
01:56:22.780
there are so many mixed messages. Peter, I hear this all the time where people say,
01:56:27.980
you know, I don't trust scientific research because one study says this and one study says
01:56:31.540
that and they all contradict each other. And what I say to people is I say, did you actually read the
01:56:36.660
study or are you just looking at the social media hot takes? Because my guess is you're probably
01:56:41.500
looking at the hot takes. Because what we just did going into those studies, when they seemingly have
01:56:46.700
a weird outcome, I can tell you almost any time, 99% of the time, when I've seen a headline or a
01:56:52.620
social media hot take on a study that I go, that doesn't make sense. And then I go and read the
01:56:57.740
actual study. 99 times out of 100, I walk out going, oh, okay, I see why they found what they
01:57:02.720
found. Either the way the control group was designed or the difference in levels between
01:57:08.260
groups or whatever. My PhD advisor used to say, if I wanted to design a study to show no effect
01:57:13.540
or the study to show an effect, easiest thing in the world. And so again, this is why we look at
01:57:18.940
converging lines of evidence. We look at what does all the evidence state and what do the most
01:57:24.160
high quality, most rigorously controlled studies find? Yes, there are elements of truth to the
01:57:31.040
criticisms of seed oils. But on balance, when we look at these hard outcomes, when we look at what
01:57:37.260
we are very sure we know to be true, I think one of the things to point out in science, you can never
01:57:42.180
prove anything, right? We can only disprove things. But we can have relative degrees of confidence in
01:57:47.720
various data. I would say I have a relatively high degree of confidence that ApoB-containing
01:57:54.360
lipoproteins are atherogenic. Based on everything I've read, the converging lines of data,
01:58:00.920
especially the Mendelian randomization studies, especially the statin trials,
01:58:04.940
I feel relatively confident about it. Could I change my mind? Sure, but it would take a lot of
01:58:09.180
data over a long period of time. Now, you asked one question that I want to circle back to.
01:58:14.240
Why care about nutrition if you can just control this with statins?
01:58:16.600
No, that was in the context, I think, of why care about the effect on LDL if you can
01:58:22.120
pharmacologically regulate that anyway? And therefore, should we be focused on other negative
01:58:27.440
health benefits in the case of the frying? That was really my question.
01:58:30.620
Oh, I see what you're saying. So let's take care of the LDL piece, and then now oxidation or
01:58:37.440
I was asking that specifically in the context of the frying oils.
01:58:41.480
Yeah, I don't have a great answer for that, because I think one of the other frustrations
01:58:45.620
with the general public is when we put out limitations of studies, you and I know, we're
01:58:51.680
not necessarily saying, hey, these researchers are idiots. They did it wrong. They should
01:58:55.540
have done it this way. Every study has limitations. Every single study that's ever been done in
01:58:59.920
the history of mankind. There is no unifying study that explains the entire universe.
01:59:04.100
So pointing out limitations is not necessarily saying that a study is bad. It's just pointing
01:59:11.060
out, okay, we got to be careful how much interpretation we give to this, how broadly we
01:59:16.240
interpret it. And yes, there are studies that are more well-designed, well-conducted, that
01:59:21.560
have more statistical power, that have better measurements. And scientists try to account
01:59:27.080
for that when they look at, okay, how much weight am I going to give to something? But again,
01:59:31.940
at the end of the day, if I have to give a recommendation for people on this stuff, I would
01:59:37.160
say, when it comes to seed oils, if you don't want to consume them, okay. I would just say,
01:59:41.740
try to limit your saturated fat, eat enough fiber. But outside of that, there's so many
01:59:47.180
bigger levers that you can pull for your health than just worrying about seed oils. Put up a
01:59:52.560
thing a while back, I said, the average calorie consumption in the United States is 3,500 calories
01:59:59.020
per day. And the average physical activity is less than 20 minutes per day. You're spending
02:00:03.520
all this time worrying about what your fries get fried in. Not you specifically, but just
02:00:07.700
people in general. We're stepping over $100 bills, picking up pennies. Again, I'm not saying
02:00:13.300
don't worry about the little stuff, but you got to keep it in context of what really is driving
02:00:18.900
so much disease in the developed countries. A lot of it really is an energy toxicity issue.
02:00:25.940
Just to put a final bow on this, if you're looking at the macro trend of declining health
02:00:32.120
in the last 50 years, you're going to argue that caloric imbalance and activity levels are
02:00:39.600
contributing how much more than increasing seed oils? A little bit more, a lot more, medium
02:00:47.120
I would say a lot more. Here's why I come to that. So there's no direct comparisons. I'm
02:00:52.380
going to say it right now. I'm going out on a limb. These are tenuous assertions by me,
02:00:57.740
my opinion. You look at the hazard ratios for mortality, talking about obesity. You're
02:01:02.860
not talking about, we're talking about like class three, class four obesity, even with
02:01:07.540
healthy blood markers, healthy obesity. You're not talking about 20, 30%. You're talking about
02:01:13.460
80 to 200%. You're talking about massive increases in the risk of mortality. When you're talking
02:01:19.260
about things like exercise, I mean, you talk about this all the time, your strength, your
02:01:25.460
lean mass, your activity levels, enormous predictors of how long you will live to the
02:01:32.880
order of hundreds of percentage points of magnitude when it comes to VO2 max, grip strength, overall
02:01:39.080
strength. I don't think there's anything unique about grip strength. It's just a proxy for overall
02:01:42.700
strength. And so again, that's not to say, hey, if you can make adjustments that make a
02:01:48.400
benefit overall, I don't want to be a whataboutism person either, but just make sure that your time
02:01:54.780
effort is being spent in your mind space. I got that from you. I liked what you said about that.
02:01:59.540
Your mind space is being spent on the things that will move the lever the biggest. And okay,
02:02:05.140
so you're controlling your caloric intake. You're exercising regularly. You don't want to eat seed
02:02:09.500
oils. Cool. Don't eat them. But I would also say, try to limit your saturated fat as well.
02:02:14.900
And try to make sure your LDL is under control. Get your APOB measured. I mean,
02:02:19.780
these are things that are modifiable. So if you can modify them, why not? And the last thing I will
02:02:24.100
say, because people do this too, I am not saying, and I don't think that you would say that APOB and
02:02:30.120
LDL are the only things that drive cardiovascular disease. Blood pressure, cardiovascular fitness,
02:02:38.140
insulin sensitivity, inflammation, these things all matter. They all matter. We are just saying,
02:02:43.340
and I'll give an example. You could have high LDL, but every other factor is low and your overall
02:02:48.900
risk for cardiovascular disease might be low. You can have high LDL and you might live to 90,
02:02:54.940
100 years old. That can happen. But there's also people who smoke for long periods of time and live
02:03:00.540
to be old. That doesn't mean that you should smoke or that it's not negative because statistics are just
02:03:07.500
probabilities. These are just probabilities. These are not hard. This is definitely going to happen.
02:03:12.760
So of course, you can always find an individual to show a difference. But all we are saying,
02:03:18.840
or all I am saying, is that everything else being equal, having your LDL lower is better,
02:03:27.780
All right. Well, Lane, I think that kind of brings this discussion to an end. I don't think this was
02:03:32.680
necessarily as interesting as it would have been in its original format, where we could have done it
02:03:38.560
as a genuine two-person point of view. I tend to agree with the point of view you've put forth.
02:03:44.500
My own nomenclature on this is that we're majoring in the minor and minoring in the major. I just don't
02:03:49.320
think this matters all that much, frankly. And my lack of enthusiasm around this topic is probably
02:03:54.700
palpable. I also think I'd make one final point to what you said, which is there is another confounder
02:04:01.220
with seed oils, which is that they tend to show up in low quality foods. And therefore, if you make
02:04:07.240
the decision to restrict your seed oils, you are probably doing a net benefit to yourself because
02:04:12.680
you are simply going to eat less Oreos, less potato chips, less junky salad dressings, and crappy
02:04:22.340
sauces and things like that. So the substitution effect will probably work in your favor, but you
02:04:29.460
don't have to be maniacal. If, for example, when you're making a salad, you prefer the taste of
02:04:35.820
safflower oil or canola oil over olive oil, it doesn't seem like you're killing yourself by doing
02:04:41.360
it based on the data. And you probably don't need to go to restaurants that are adamant that they
02:04:47.540
exclude seed oils because if it's a good restaurant, whether it uses seed oils or not, it's probably
02:04:52.220
using good ingredients otherwise, and you're probably going to be just fine. Yeah. I mean, you make a
02:04:57.660
great point about, it's probably more about what comes along for the ride. Another comparator real
02:05:02.100
quick, like sugar intake. People cut out sugar and they say, well, I felt better. You cut out a bunch
02:05:07.720
of junk food, but then you have people who get maniacal with it and start cutting out fruit
02:05:12.020
because fruit has sugar. Biochemically, it's basically the same thing. Once it gets in your
02:05:16.440
body, now there's a bridge too far. And I would argue the same thing that I think most people who are
02:05:22.140
experiencing negative effects from seed oils just have an overall probably low quality diet.
02:05:27.500
This isn't a problem for people who are going, you know, I think I'm going to cook with some canola
02:05:32.000
oil today and maybe use a seed oil-based solid dressing here and there. I think that that's
02:05:39.240
probably not what's happening. And what is happening is people are eating a lot of potato chips,
02:05:47.140
french fries, whatnot. And then the kind of anti-establishment people come out and they
02:05:51.920
say, look at how much our seed oil intake has increased. And we did what the government told
02:05:55.480
us to. Yeah. So my only wish that come from this podcast, in addition to public education,
02:05:59.940
is if you are a restaurateur and you're listening to this, please take the no seed oils used off your
02:06:05.580
menu. It insults me and it insults anybody who's been patient enough to listen to this episode.
02:06:12.380
So with that, thank you. Yeah. Thanks for having me. This was fun and a really cool
02:06:16.420
educational experience. I loved it. So thank you for having me and let me rap about this stuff for
02:06:22.340
a couple hours. Thank you for listening to this week's episode of The Drive. Head over to
02:06:27.920
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02:06:34.740
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