The Peter Attia Drive - September 18, 2023


#271 - AMA #51: Understanding and improving your metabolic health


Episode Stats

Length

19 minutes

Words per Minute

175.85625

Word Count

3,435

Sentence Count

5

Misogynist Sentences

1


Summary

In this episode, Dr. Nick Stenson and I discuss metabolic disease and how it feeds into the other 4 major diseases of aging, such as cardiovascular disease, cancer, neurodegenerative disease, and metabolic disease which is really a continuum of conditions.


Transcript

00:00:00.000 hey everyone welcome to a sneak peek ask me anything or ama episode of the drive podcast
00:00:16.400 i'm your host peter atia at the end of this short episode i'll explain how you can access
00:00:20.840 the ama episodes in full along with a ton of other membership benefits we've created
00:00:25.460 or you can learn more now by going to peter atia md.com forward slash subscribe so without further
00:00:32.140 delay here's today's sneak peek of the ask me anything episode welcome to ask me anything
00:00:41.180 episode number 51 i'm once again joined by nick stenson today's ama focuses on questions we've
00:00:48.540 gathered around metabolic disease if you've listened to this podcast or read my book you're
00:00:52.880 probably familiar with what i call the four horsemen which are the major disease processes
00:00:57.240 of aging these include cardiovascular disease cancer neurodegenerative disease and metabolic
00:01:01.980 disease which is really a continuum of conditions in today's episode we really dive into that fourth
00:01:07.800 horseman these conditions around metabolic disease these topics that we explore include questions
00:01:13.720 about how metabolic disease feeds the other three horsemen and why we should be aware of our metabolic
00:01:18.720 health we talk about the various metrics that i use with my patients to understand their metabolic
00:01:23.380 health now this will include some common ones as well as some less common ones and of course we get
00:01:28.760 into the various factors that you can manipulate in which to improve your metabolic health and they
00:01:34.860 include some of the obvious ones but also some less obvious ones so if you're a subscriber and you want
00:01:39.840 to watch the full video of this podcast you can find it on the show notes page if you're not a subscriber
00:01:44.720 you can watch a sneak peek of the video on our youtube page so without further delay i hope you enjoy
00:01:50.540 ama number 51
00:01:52.060 peter welcome to another ama how you doing good thanks for having me so today's ama we're really
00:02:04.080 going to focus on metabolic health i think a lot of people are familiar with this term you call the four
00:02:09.900 horsemen which are the four major diseases of aging that includes cardiovascular disease cancer
00:02:15.620 neurogenetic disease and then metabolic disease which is really a range of conditions kind of from
00:02:21.380 obesity all the way to type 2 diabetes and we haven't covered it on recent amas that closely and so
00:02:29.140 what we wanted to do was gather all the questions that have come in on that and then put them into
00:02:34.960 today's ama so we're going to hopefully get to as many as we can but this will include what is
00:02:40.220 metabolic disease and how do you define it how it feeds the other three main horsemen and how it can
00:02:46.260 cause problems for people and then really look at the metrics that you look at with your patients to
00:02:52.120 understand on an individual level where they're at metabolic wise and so i think a lot of people will
00:02:58.080 look at metabolic health from simple blood metrics such as hba1c or things that they can get with a
00:03:04.340 typical annual physical but i know with you and your patients you look at a lot of other things
00:03:09.020 and we're going to get into those details today which is you know what are those things what do you
00:03:13.360 like to see and ultimately what can they tell people about their metabolic health and then we'll end
00:03:18.560 the ama looking at kind of what are the lifestyle interventions that people can use to help improve
00:03:24.120 their metabolic health and this will look at nutrition sleep and exercise so we have a lot to get to
00:03:30.820 so with all that said anything you want to add before we get started no i mean i just think we're
00:03:35.800 going to structure this discussion by probably spending a bit of time talking about the nuanced
00:03:41.020 ways in which you could define or identify a person who's not metabolically healthy we'll come up with
00:03:46.180 a very high bar for that on what you know real metabolic health looks like and then as you said
00:03:50.720 we'll talk about okay what do you do about it if you're in this situation because most people
00:03:55.000 listening to this myself included frankly will always have an area in which they could improve
00:03:59.620 health let's start with a little bit a primer on metabolic disease and how it can feed into the
00:04:05.240 other three horsemen which is cardiovascular disease cancer neurogenitor disease so to do this
00:04:11.120 i think we need to kind of define metabolic disease or metabolic syndrome and look at how that feeds those
00:04:17.820 other diseases i think a bit of historical context is helpful here there was a very famous remarkable
00:04:23.960 endocrinologist by the name of jerry reevin definitely one of the regrets i have is not having
00:04:28.400 interviewed jerry for the podcast before he passed away because i did know him and i'd met him several
00:04:32.480 times jerry was at stanford for most of his career in the 1980s made an observation which was that
00:04:41.860 where the following five signs went so too did cardiovascular disease cancer neurodegenerative disease
00:04:50.440 he identified these five signs which we'll review in a second and he referred to it as syndrome x
00:04:55.460 so he said look when people have truncal obesity elevated triglycerides depressed hdl cholesterol
00:05:02.740 elevated blood pressure and elevated glucose levels this thing we're going to call syndrome x
00:05:09.040 it seems to be a remarkable predictor of all of these chronic diseases of aging for the sake of time i'm not
00:05:16.860 going to go through the entire history of this but what changed was that that terminology became
00:05:21.240 syndrome x it referred it became now metabolic syndrome and now we have some numbers that go
00:05:25.700 with those things so many people are probably familiar with these but you know we're now
00:05:29.160 defining truncal obesity as a waist circumference of more than 40 inches in men more than 35 inches
00:05:33.960 in women we're defining elevated triglycerides as over 150 milligrams per deciliter we're defining low
00:05:39.300 hdl cholesterol is below 40 milligrams per deciliter in men below 50 in women we define elevated
00:05:45.100 blood pressure as above 130 over 85 or taking medication for high blood pressure over 120 over
00:05:51.720 80 and fasting glucose is greater than 100 milligrams per deciliter and the syndrome is defined as having
00:05:58.020 three or more of these so i won't suggest that this is the best way to evaluate metabolic health i think
00:06:04.360 there are many more nuances that we're going to go into but at a minimum i think everybody should know
00:06:10.240 where they stand on those things and by the way even though metabolic syndrome is defined as having
00:06:15.300 three or more of those having one of those is still worse than having none having two is worse than
00:06:21.060 having one etc so in an ideal world you wouldn't want to have any of these things no and i think that's
00:06:27.480 good to kind of set that baseline there and so the next question is then how does metabolic syndrome
00:06:33.820 kind of feed the other horsemen and those other diseases we could spend the entirety of this ama going
00:06:41.360 through the literature on this it's so voluminous and so one-sided that i don't think it's particularly
00:06:47.660 interesting i'll probably just touch on a couple of high points and we'll leave all the details in the
00:06:52.760 show notes but if you look at all the meta-analyses of all-cause mortality cardiovascular mortality cancer
00:07:02.120 mortality cancer incidents dementia incidents all of these things all point in the same direction
00:07:06.820 once you have metabolic syndrome you're at an increased risk of everything your risk of
00:07:12.320 cardiovascular disease goes up by 135 your cardiovascular mortality goes up by 140 your all-cause mortality is up
00:07:20.620 by 58 your mi risk 99 it's basically a doubling your stroke 127 when you look at cancer it's a 56 percent
00:07:30.740 increase in age-adjusted risk of cancer mortality if you have met sin in particular there are a handful
00:07:36.580 of cancers that seem especially impacted by this so endometrial cancer seven times as likely esophageal
00:07:45.220 cancer almost five times as likely gastric cancer twice as likely liver kidney twice as likely so there
00:07:52.260 are a handful of cancers that even appear to be especially exacerbated by metabolic syndrome or by obesity
00:07:58.500 and overweight and so i think most people understand that smoking is an enormous driver of risk for
00:08:04.100 cancer it is it remains the number one environmental trigger of cancer but obesity is number two and if
00:08:11.540 you look more closely at the data it's really metabolic syndrome which obviously overlaps a lot with
00:08:16.980 obesity if we turn our attention then to neurodegenerative diseases and we'll start with parkinson's disease
00:08:22.580 the largest meta-analysis on this study suggests about a 24 percent higher risk of parkinson's disease
00:08:28.180 in those with metabolic syndrome compared to those without it also appears to be graded again just as we
00:08:35.060 see in atherosclerosis we see that having three of the risk factors for metabolic syndrome is a 31 percent
00:08:42.500 higher risk of parkinson's disease while having all five 66 percent increase in risk when it comes to
00:08:49.700 alzheimer's disease it's about a 10 percent increase in alzheimer's disease for those with
00:08:55.660 met-syn and what's interesting at least in the meta-analysis we looked at was i thought that was actually a
00:09:01.760 surprisingly low number i thought that having metabolic syndrome only increasing alzheimer's disease by 10 percent
00:09:07.220 struck me as low but if you look more closely at the data you'll realize that there actually appears to be a
00:09:13.340 protective role in the abdominal obesity risk factor so when you do the analysis by looking at each of the
00:09:19.340 metrics of medicine individually there's about a 16 percent reduction in quote-unquote protective
00:09:25.060 benefits of abdominal obesity now this is likely due to reverse causality meaning having alzheimer's
00:09:30.580 disease is more likely to lead to abdominal obesity but nevertheless i think that's why those numbers
00:09:34.880 don't look as big when you look at all forms of dementia because remember alzheimer's disease is the
00:09:40.280 most prevalent form of dementia but there are many forms of dementia that are not alzheimer's there's
00:09:44.360 vascular dementia lewy body dementia frontotemporal dementia so all comers vascular dementia is about
00:09:51.280 a 37 percent increase in risk yeah so i think that's a really good and kind of quick overview of how
00:09:58.240 metabolic syndrome can feed into the other diseases and like you said we'll have a lot more detail in
00:10:03.360 the show notes because the reality is we just don't want to spend the entire ama on that because i think at
00:10:09.000 this point people kind of understand okay this is an important thing to care about and i should
00:10:13.080 understand this for myself and so the next section then starts to get to how do you identify
00:10:19.960 beyond just the metabolic syndrome what are some other metrics that someone can look at
00:10:25.620 to know their kind of specific metabolic health and one question that we get a lot which is just
00:10:33.180 starting at the basics is how helpful is body weight and bmi to actually understand someone's
00:10:39.760 metabolic health it's such a crude tool it's understandable why body weight and bmi are
00:10:46.380 used as health indicators at the population level you know you're stuck with things that are very simple
00:10:53.080 and reliable but if you hold up the figure from i don't remember which chapter in outlive it's from
00:10:59.460 but it's from you know an analysis that i did to basically try to disentangle obesity and metabolic
00:11:07.180 syndrome so if you take a look at that figure and by the way these are data that came from you know
00:11:12.460 the nih and these turn out to be kind of conservative numbers but conservatively speaking you have at the
00:11:19.580 time of this analysis 2021 108 million obese people in the united states these are adults and 150 million
00:11:27.160 non-obese so obese being defined as a bmi over 30 now if you look at the people who are obese and have
00:11:35.100 metabolic syndrome it's 62 percent of the obese have metabolic syndrome so that's 67 million people
00:11:42.200 are obese with metabolic syndrome conversely if you look at the 150 million people who are not obese
00:11:48.140 22 percent of those people have metabolic syndrome for a 33 million and so what you can see is that
00:11:54.100 you've got a hundred million people and again i think that's a very conservative estimate others have
00:11:58.820 come up with numbers as high as 125 million but call it a hundred million people with metabolic syndrome
00:12:04.440 in the u.s but what i think is most interesting is a third of them are not obese and so if you think
00:12:11.380 about all the things that we look at in our patients and all of the metrics we have on them i can just tell
00:12:17.100 you i don't know the bmi of one of my patients and i don't care because i'm not trying to practice
00:12:22.160 medicine on a population basis so i don't even know my bmi i know i'm overweight by bmi but it's not
00:12:28.340 something that we're going to manage ultimately bmi it's not that helpful it doesn't account for
00:12:33.200 body composition it doesn't account for insulin sensitivity in any way shape or form we just don't
00:12:38.600 rely on it at all we'll do dexa scans we'll get into those details but we don't care about bmi
00:12:42.740 that kind of leads us it's a good intro to this next section which is what are those metrics that
00:12:48.440 you use with your patients to understand their metabolic health at an individual level and so i think
00:12:53.760 what might be helpful for people is if you just kind of run through what those are and then what
00:12:58.420 we'll do after is we'll double click on each of them some of them going into more detail than others
00:13:03.420 depending on past content but i think it'd just be kind of helpful for people just to hear that full
00:13:08.460 list quick yeah i mean we kind of organize them as functional tests imaging tests you know typical
00:13:15.180 or regular biomarkers maybe some special tests and we'll even talk about things that are only done
00:13:19.940 in research that we don't do but you might see these things show up in papers that you're reading so
00:13:24.480 on the kind of regular slash traditional blood-based biomarkers we look at uric acid homocysteine
00:13:30.240 triglycerides hdl cholesterol fasting glucose insulin hemoglobin a1c and liver function tests now i'd say
00:13:37.560 one of the less common things that we do look at is resting and fasting lactate levels and obviously
00:13:44.560 lactate performance in response to exercise so that's also kind of a functional test when it
00:13:50.620 comes to the functional stuff though we're looking at zone two output we look at cpet testing so
00:13:55.860 effectively the oxygen utilization co2 production under stress oral glucose tolerance tests again i
00:14:03.000 don't put that down as a traditional blood-based biomarker because i think of that as really a
00:14:06.900 functional test although of course it relies on these biomarkers continuous glucose monitoring and
00:14:11.720 then whole body respiratory suites we personally don't do that in our practice we do all the others
00:14:16.740 but we don't do the whole body respiratory stuff but you can do that to obviously get a sense of
00:14:21.480 respiratory quotient imaging studies can be really valuable here so dexa scans which are measuring
00:14:27.060 visceral adipose tissue and also measuring muscle mass body fat which is certainly more relevant
00:14:32.880 than body weight or bmi we certainly would never rely on ct scans for looking at visceral fat although
00:14:39.360 one could do it and you do get it with mri if you have the right software liver ultrasound along with
00:14:45.100 algorithms that combine liver ultrasound with blood test to look at fibrosis scores become very
00:14:50.760 important as you want to understand the prevalence of fatty liver disease and though we don't do this
00:14:56.020 you might see this kind of stuff in research studies and it's very interesting stuff so you could look
00:15:00.440 at c16 saturated fatty acids this gives you a sense of fat metabolism and of course intramuscular biopsies
00:15:09.360 will give you a great sense of how much fat is being stored in a muscle and that can be obviously
00:15:13.680 relevant for insulin resistance and it's obviously mechanistically important as well as we discussed in
00:15:18.460 the jerry shulman podcast again those aren't things that we're doing in clinical practice i think it's
00:15:23.500 really helpful for people just to kind of hear that whole list and now we'll jump into kind of each of
00:15:29.560 those into a little more detail some more than others and we'll kind of look at what trends you're
00:15:34.300 looking for what are the ranges you like to see and then ultimately it will lead to the second section
00:15:39.780 of this which is how do you improve those various metrics so why don't we start with some of the more
00:15:45.820 regular or traditional biomarker tests that most people will probably get at any type of physical
00:15:52.680 screening annual exam they go to can you kind of walk through what those are and what metrics you're
00:15:59.060 hoping to see within your patients thank you for listening to today's sneak peek ama episode of
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