The Peter Attia Drive - May 22, 2023


#255 ‒ Latest therapeutics in CVD, APOE's role in Alzheimer's disease and CVD, familial hypercholesterolemia, and more | John Kastelein, M.D., Ph.D.


Episode Stats

Length

2 hours and 4 minutes

Words per Minute

152.39397

Word Count

18,989

Sentence Count

1,207

Misogynist Sentences

8

Hate Speech Sentences

4


Summary

Jon Castellani is a genetic researcher and clinician scientist known for his work in the field of familial hypercholesterolemia and the development of lipid modulating drugs. He is currently a Professor of genetic medicine at the University of Amsterdam, where he leads the Department of Vascular Medicine. Jon has been the main driving force behind development of a treatment for homozygous familial hyperphagocytopenia (FH), a severe form of familial heart disease. In this episode, we discuss what it is, how it is diagnosed, and what we can do to prevent it from happening in the first place.


Transcript

00:00:00.000 Hey everyone, welcome to the drive podcast. I'm your host, Peter Atiyah. This podcast,
00:00:15.500 my website and my weekly newsletter all focus on the goal of translating the science of longevity
00:00:19.840 into something accessible for everyone. Our goal is to provide the best content in health and
00:00:24.780 wellness full stop. And we've assembled a great team of analysts to make this happen.
00:00:28.920 If you enjoy this podcast, we've created a membership program that brings you far more
00:00:33.320 in-depth content. If you want to take your knowledge of the space to the next level at
00:00:37.340 the end of this episode, I'll explain what those benefits are. Or if you want to learn more now,
00:00:41.760 head over to peteratiyahmd.com forward slash subscribe. Now, without further delay,
00:00:47.800 here's today's episode. My guest this week is John Castelline. John is a genetic researcher
00:00:54.320 and clinician scientist known for his work in the field of familial hypercholesterolemia,
00:00:58.920 and the development of lipid modulating drugs. He is currently a professor of genetic medicine
00:01:04.600 at the University of Amsterdam, where he leads the Department of Vascular Medicine. John has been
00:01:09.960 the main driving force behind the development of a treatment for homozygous familial hypercholesterolemia,
00:01:16.580 a severe form of FH. Now, some of you may be listening to this saying, what the heck are you
00:01:21.140 talking about? Well, it's important to understand that FH or familial hypercholesterolemia is the second
00:01:27.440 most common form of hereditary heart disease, right after elevated LP little a. And you know
00:01:34.800 from probably listening to previous versions of this podcast that elevated LP little a is
00:01:39.840 staggeringly prevalent in the population. And by extension, therefore, so too is various forms of
00:01:46.320 FH. And while we use FH as an important place to start this discussion, because it becomes an
00:01:51.620 important way to understand therapeutic options, the subject matter that we cover here is, of course,
00:01:56.840 applicable to anybody who's interested in minimizing their risk of cardiovascular disease.
00:02:02.340 John has also led several clinical trials, including the pivotal Odyssey Long-Term and Odyssey Outcomes
00:02:07.640 Studies, which helped to establish the safety and efficacy of PCSK9 inhibitors in the treatment of FH
00:02:13.360 and other forms of hypercholesterolemia. As I said, we start the discussion by focusing on familial
00:02:19.380 hypercholesterolemia. We talk about what it is, how you define it, how you can be aware if you have this,
00:02:24.300 what the genetics are that underpin it, what we do with kids that have this, etc. We then talk about the
00:02:29.140 history of CTEP inhibitors, which is indeed a sordid history. These have been a class of completely
00:02:35.060 unsuccessful drugs that have resulted in much hype and fanfare without any tangible results. However, John makes a
00:02:43.240 pretty compelling case for the most recent version of these drugs to be not only a potential game
00:02:48.440 changer, a word that I hate, for cardiovascular disease, but perhaps even more interestingly for
00:02:54.220 Alzheimer's disease and type 2 diabetes. This dovetails very nicely into our final topic of discussion,
00:03:00.520 which is that and the role of ApoE. Now, traditionally, when you hear me talk about ApoE,
00:03:05.500 I'm talking about the gene ApoE and its three isoforms, ApoE2, ApoE3, ApoE4. It's important
00:03:13.200 to understand that, of course, those genes code for a protein that goes by the same name, ApoE,
00:03:19.080 although it is not fully capitalized, and that's how when you're reading it, you know the difference.
00:03:23.220 What we talk about in this episode is what that actual protein does, and why is it that someone
00:03:28.520 with the ApoE4 gene codes for a version of that protein, which, by the way, only differs in one amino
00:03:35.680 acid from the one coded for by ApoE3, and we talk about why the protein that is coded by the ApoE4
00:03:43.720 isoform produces a much greater increase in the risk of Alzheimer's disease and cardiovascular disease.
00:03:49.940 What's most interesting to me about all of this is that it ties back very nicely to the discussion
00:03:55.620 of how this most recent CTEP inhibitor might work. And what I'm left with is a sense of profound
00:04:02.120 optimism that sometime in the next five years, we may indeed have therapeutic molecules that
00:04:08.380 we can use specifically for high-risk patients, such as those with ApoE4. So overall, I would say
00:04:14.920 this discussion surprised and delighted me much more than I expected, and I know that even though
00:04:20.720 it's a technical topic, it is something that is going to be of great interest to anybody who cares
00:04:25.760 about heart health and brain health. So without further delay, please enjoy my conversation
00:04:29.560 with Jon Castellan. Jon, thank you so much for staying up late into your evening in Amsterdam
00:04:41.440 to make time to speak with me. This is a podcast that really came across my radar courtesy of one
00:04:49.380 of my mentors, Tom Dayspring, who basically got me interested in the work you were doing and said,
00:04:55.560 look, if you'd like to speak with Jon, we might be able to twist his arm to make time for this.
00:04:59.440 And so I'm both gracious that Tom got me into your work and that he was able to convince you to
00:05:04.980 sit down with us. So am I. As you know, because you mentioned to me earlier that you've listened
00:05:11.420 to the podcast, you're probably familiar with how much we talk about cardiovascular disease.
00:05:15.860 It's not really an accident, right? I mean, it is the leading cause of death globally. I don't think
00:05:20.480 you can state the stats enough, right? I mean, the last time I looked, 19 million people died in the
00:05:26.000 world due to ASCVD. And the second place killer was cancer at something like 12 to 13 million.
00:05:34.540 So it's not even close that what we're talking about is the leading cause of death. And it's for
00:05:41.000 that reason, I think that we need to make sure that we take every opportunity to educate people
00:05:45.120 about this. And I want to start with a genetic condition called familial hypercholesterolemia,
00:05:51.520 which is probably far more prevalent than people realize. In other words, there are thousands of
00:05:58.040 people listening to this podcast who are affected by that. So tell us what FH, as it is abbreviated,
00:06:05.980 is. Yeah. So we were the first in Holland who actually had a very large scale organization to
00:06:16.240 find these people. So I trained in Vancouver. I was a visiting professor also in Vancouver by Michael
00:06:23.760 Hayden. I had my Canadian exam. So I did lipid clinic in Vancouver in a time when there were no
00:06:30.720 lipid clinics in Europe or hardly. So when I got back in Europe and I started the lipid clinic in
00:06:36.300 Amsterdam, about 60% of all my referrals were FH. And I thought, why would that be? And then when you go
00:06:44.740 back into the history of my country, my country is about the size of Rhode Island, and it has 18
00:06:49.500 million people. These people have not really moved in the past. So there are large provinces with
00:06:55.280 consanguinity. It's not consanguinity as, for example, with the French Canadians or the South
00:07:00.880 Africans, but it's nevertheless consanguinity. So we got a huge 30 million euro grant from the Dutch
00:07:08.680 government to actually start actively find these people. Because when I started doing this in our
00:07:15.620 large lipid clinic in Amsterdam, we still had mortality or severe anterior MIs at ages between
00:07:22.200 20 and 30 in men, for example. Wow.
00:07:24.960 So I can almost remember all of them. People that were fit like you, but didn't know they had an LDL of
00:07:31.480 300 mix per deciliter from their birth onwards. And actually we're playing some tennis and then
00:07:37.140 they got a massive anterior MI. And in those days, there was not much stenting yet. And so the only
00:07:42.460 thing you could do is put someone in a cardiac care unit and actually do all kind of vague superficial
00:07:47.700 things. So FH is a true autosomal dominant disease, meaning it's not sex linked. You don't need two
00:07:57.400 parents to get it. You only need one parent to get it. It's almost 100% penetrant, meaning that if you
00:08:04.840 have a robust mutation in one of the genes that cause FH, you're almost certain to get the phenotype.
00:08:13.540 And the phenotype starts very early. We have in Amsterdam, the largest pediatric lipid clinic in the
00:08:20.560 world. We have seen over 2000 children with heterozygous FH. So we know that this disease starts
00:08:27.300 very early in life, then becomes symptomatic in your teenage years in the sense that the
00:08:35.040 cholesterol that is elevated in the circulation starts depositing on your tendons, especially the
00:08:41.420 extender tendons on the dorsum of your hand and in your Achilles tendon. And then also you start
00:08:48.140 very slowly seeing the arcus. So the arcus in the eye and sometimes the deposits on your eyelids,
00:08:55.600 the xanthalasmata. And so those are the physical manifestations of the disease. And then very often,
00:09:02.340 especially in the old days, the first really serious manifestation is either angina or a heart
00:09:08.500 attack. And one of the things that is so dangerous about this disorder is that it's the plaque that you
00:09:15.000 get in FH is a soft plaque. It's a cholesterol-rich, large plaque that is very often proximal in the
00:09:23.260 coronary arteries. Meaning that if a plaque like that bursts, you either have an occlusion of your
00:09:29.480 entire LAD or you have a main stem occlusion, which kills you right on the spot. You know,
00:09:36.980 sudden death, actually.
00:09:38.840 Those sort of proximal left main or distal left main are what's referred to as the widow maker.
00:09:43.500 I want to just back up and make sure some of the stuff that you said makes sense to people. So
00:09:47.840 you said so much there that has my eyes wide open and I understand this stuff. So I just want to make
00:09:54.240 sure everybody gets it. So a couple of things. Let's differentiate when you use the word phenotype
00:09:59.540 and genotype. Let's explain to people how one defines the phenotype of FH. In other words,
00:10:06.680 what is the objective metric by which we define this condition?
00:10:12.340 So the objective metric, as with all patients, is history first. And very often in these families,
00:10:20.020 there is a family history of premature coronary disease. That's one of the first things that
00:10:25.540 speaks for these families. Then second, these people have elevated LDL cholesterol without any
00:10:33.000 other abnormality. So HDL is normal, triglycerides is normal, LDL is elevated. And you need to find
00:10:40.480 elevated LDL in first degree relatives also. So in children of that individual or in one parent
00:10:47.040 and in siblings. And with that LDL, you can reasonably construct a family tree where you
00:10:54.860 know who's affected and who's not. But unfortunately, as you undoubtedly know, there's overlap between
00:11:01.840 affected family members and affected family members in LDL cholesterol. That's why we decided a long time
00:11:09.940 ago to go for the mutation. So to go for the genotype. Because of course, for the genotype,
00:11:16.500 there is no overlap. Either you carry the mutation or you don't carry the mutation.
00:11:21.660 Now, this is where we have a bit of an issue, right, John? Because unlike, for example, LP little a,
00:11:27.720 which we've had several podcasts on, where the phenotype is unambiguous, you have an elevated level
00:11:33.940 of LP little a, the lipoprotein. The genotype is also very clear. It's a one-to-one mapping,
00:11:39.080 right? LPA is the gene that codes for apolipoprotein little a, and away we go. Here,
00:11:44.420 we have a very heterogeneous genetic set of causes. In fact, I could be wrong on this,
00:11:53.040 so please correct me. I believe I've read that there may be over 3,500 different mutations
00:11:59.380 that would roll up into FH, i.e. that would produce this phenotype of... And are we using,
00:12:05.960 by the way, an LDL-C cutoff of 190 milligrams per deciliter?
00:12:10.760 Yes, that's what we are mostly using, 190. Of course, if you start a lipid clinic and you get
00:12:17.160 referrals, there's referral bias. So the initial patients that I saw all had LDLs of 300 or more.
00:12:22.600 Now, the genotype is very interesting. So what we've done is, of course, if you start determining
00:12:30.500 a genotype, you have to be absolutely sure that your diagnosis is correct, because if your diagnosis
00:12:35.660 is not correct and you don't find a mutation, it's meaningless. So what we've done is we've used the
00:12:40.980 children as our kind of diagnostic linchpin, because if a child has high cholesterol, with the
00:12:48.920 exception of primary hypothyroidism, there's almost no other cause for elevated LDL cholesterol in a
00:12:56.880 child than FH. Right. And it's important to explain, I think, to people that, although you've alluded to
00:13:03.460 it, I want to make sure people understand. There are a lot of people walking around with an LDL
00:13:07.140 cholesterol of 200 milligrams per deciliter. Oh, yeah. But they might have triglycerides of 300
00:13:12.780 milligrams per deciliter. They might have type 2 diabetes. They might have thyroid disease that is
00:13:18.100 untreated. They might have renal disease that is untreated. There are lots of other diseases
00:13:23.960 for which a side effect is elevated LDL cholesterol. And what you're saying is, look, we've got to rule
00:13:31.140 those out, right? Yes. And therefore, we started in the children, Peter. That's my point. Yes. Because
00:13:36.940 in the kids, there's far less likely to see those other diseases. Yeah. It's almost in all the thousands
00:13:42.860 of kids we've seen where just a handful had a secondary cause for elevated LDL. The vast majority
00:13:49.880 actually all had a genetic cause. And we've published this in JAMA and in Lancet. So when we
00:13:56.520 had a cohort of 220 children where we had three-generation family of elevated LDL. So there was no doubt
00:14:05.020 that they had FH. Then we started sequencing. We could find a mutation. I mean, next generation
00:14:12.380 sequencing, everything, exon-intrum, the whole, in 95% of cases. So that is a very different number
00:14:20.840 than what you normally read in the literature for adults, where people can find 50, 60% at the max,
00:14:30.240 and they have no explanation for the other 40%. Telling you that the diagnosis, the clinical
00:14:37.100 diagnosis is not that good yet in adults, unfortunately. But it's very good in children.
00:14:44.300 95% mutation. So out of those 220 kids, 5%, which is 11 kids, we also have never, ever found a mutation.
00:14:54.320 And we've really tried. So that tells me that there are more genes.
00:14:59.620 There are mutations we don't know about yet.
00:15:01.520 Exactly. Now the 95%, if you make that 100%, then it's 95% TLDL receptor, 4.5% EPO-B,
00:15:12.760 and 0.5% PCSK9 gain-of-function mutations. So that in a country like ours is the division
00:15:21.760 between the different genes. LDL receptor, vast majority.
00:15:25.500 And here it's not that profound, right? I mean, here in the US, I was always in the impression
00:15:29.900 it's probably, call it 70, 80% is LDL receptor. It's probably more like that in the US. Yes.
00:15:38.200 And let's explain to people what's going on here. Again, I think it's worth understanding
00:15:41.360 the pathophysiology because we'll get into treatment. But when we say mutation in LDL
00:15:46.260 receptor or mutation in APO-B or gain-of-function in PCSK9 protein, explain briefly what each of
00:15:54.980 those means and why would each of those translate to the higher biomarker that people are used
00:16:00.960 to seeing, right? Everybody listening to this knows what their LDL cholesterol is, but why
00:16:04.820 would these mutations lead to 3x normal levels of LDL cholesterol?
00:16:10.040 That's actually a wonderful and very easy to understand story. So every LDL particle has
00:16:17.860 an APO-B protein kind of cringled around it, almost like a snake. And one area of that protein
00:16:25.080 is sticking out of the LDL sphere. And that is a binding domain. That is around amino acid
00:16:32.800 3,500. We actually know that. Then there is a receptor for that particle sticking out from
00:16:39.700 your liver cell, your hepatocyte. And these two bind normally. So the LDL receptor grabs the LDL
00:16:48.120 particle, and then the whole complex is internalized into the lysosome endosome where it's basically
00:16:55.240 dealt with. Now, next to the LDL receptor on the hepatocyte surface sits another protein called
00:17:03.500 PCSK9. And that protein degrades the LDL receptor. And that is the balance in nature. Because you can't
00:17:12.660 have an, at least not in the old days in evolution, you can't have an overactive LDL receptor because
00:17:18.880 then you clear every LDL particle from your circulation. So you have to have a balance. And the PCSK9 protein
00:17:24.660 that degrades the LDL receptor gives that balance. But if there is a mutant in the binding domain of
00:17:32.380 APOB, you have something that we call FH or familial defective APOB, which is basically the same.
00:17:39.780 If you have a mutation in the LDL receptor, you can't bind the APOB. And then if you have a very
00:17:46.380 active PCSK9 and you basically degrade all your LDL receptors, the end result is the same. There's not
00:17:52.660 enough LDL receptors for the LDL particles. So all three things converge at the surface of your liver
00:18:00.140 cell. And a problem with either one of the three always leads to elevated LDL cholesterol. And that
00:18:07.400 leads to all the downstream things that we just discussed. So for folks who like to anthropomorphize
00:18:12.340 things, you can picture the LDL with the APOB wrapped around it as a baseball. The LDL receptor is a
00:18:19.120 baseball mitt sticking out from the liver. And the PCSK9 protein is something that smacks the mitt and
00:18:27.760 closes it. And so basically one form of mutation is mutations that change the shape of the baseball
00:18:34.520 mitt. So it can't catch the ball or it catches it very poorly. Another mutation changes the shape of
00:18:41.240 the ball. So the ball doesn't fit in an otherwise perfect baseball mitt. And then the final mutation
00:18:46.980 is one that makes too many of the things that swat the baseball mitts.
00:18:52.380 Absolutely. But if you make the diagnosis right in a child with elevated LDL cholesterol,
00:18:57.420 you've excluded the rest. You know, his father has a high cholesterol. His grandpa had a high
00:19:02.400 cholesterol. One sibling has a high cholesterol, you know, yeah, well, this is FH. Then you do a
00:19:07.920 mutation screen. You find in 95% of cases, you can find a mutation. The vast majority is the LDL
00:19:14.200 receptor. Then comes APOB and then comes PCSK9. So in our country, PCSK9 mutations gain of function
00:19:21.380 are very rare, 0.5%. You know, another mutation that we've seen even in our practice, and we have
00:19:28.760 a very small practice, but I suspect we also disproportionately collect people who are higher
00:19:34.500 risk. But I've seen two cases of what appears to be ATP binding cassette G5, G8 loss of function.
00:19:43.580 So we see people who have FH, and I mean, I can't rule out LDL receptor defects or gain of function
00:19:51.820 PCSK9 because we're not going to do that genetic test. But what we can see is that they have levels
00:19:57.500 of cytosterol and compesterol that are more than a log fold higher than the 95th percentile. And from
00:20:07.980 that, I don't know, would you agree that we're imputing, it does change our management because
00:20:13.180 ezetimibe becomes first line, but more importantly, just as a very curious finding, would you agree with
00:20:19.440 our likely inference that that's probably the driving mutation in those people?
00:20:24.040 I would completely agree. And I'll take one little step back. So mutations in these three
00:20:30.040 genes that we just described are very prevalent in the general population. In fact, we have calculated
00:20:35.680 that they are probably like one in 250, which makes FH by far the most frequent autosomal dominant
00:20:43.920 disorder in men. Now, the Koreans and a number of other people have actually looked in children with
00:20:51.360 high cholesterol at cytosterol and compesterol levels. As you know, they should be like 12 for
00:20:58.000 cytosterol and 14 for compesterol. However, if you put the level at like 35, they find a preponderance
00:21:07.680 of kids who have increased plant sterols in their circulation, and they find mutations in ABCG5G8.
00:21:15.160 So in the old days, we thought that cytosterolimia, which is the disorder associated with ABCG5G8 was like
00:21:24.200 one in a million. That is probably a huge underestimation. And based on a number of studies in different
00:21:31.800 countries, we now think it might actually be like one in 150,000 or so, 10 times more frequent than we
00:21:38.180 originally thought. And what we also didn't appreciate is that if you are heterozygous for a
00:21:45.260 loss of function mutation in ABG5G8, you also have exactly as you said, increased cytosterol and
00:21:53.140 compesterol levels. And so very likely these disorders, especially in an advanced clinic like
00:22:00.040 yours, will coincide quite frequently because they are not rare. They are actually both not that rare.
00:22:06.680 So I have exactly the same experience. Let's go back a little bit to this clinical
00:22:12.120 presentation. We talked about it, but I think some of these physical signs might be surprising to
00:22:17.840 people that go beyond the obvious, which is atherosclerosis. So you mentioned tendon xanthomas,
00:22:24.920 you mentioned cholesterol deposits elsewhere in the body. Explain a little bit more about if we
00:22:29.900 understand why does cholesterol tend to accumulate in those particular areas, for example, extensor tendons
00:22:36.340 over flexor tendons. Do we have a sense of why that's the case?
00:22:39.780 The theory is that it's linked to movement, Peter. So that tendons that are used very, very frequently,
00:22:48.500 that there is around those tendons, there is a preponderance of macrophages and monocytes.
00:22:55.040 These monocytes, macrophages are capable of storing LDL cholesterol. And when there are enough of them,
00:23:02.340 you actually see it, you physically see it and you can feel it also. So the two most frequent places
00:23:09.840 where you'll find these deposits are the extensor tendon of your hands, which you use the whole day.
00:23:15.140 And of course, your Achilles tendon. But in my career, which as you can see on my gray hair has
00:23:21.780 has been a while, I've seen xanthomas also in the patella. And so that tendon actually on the tibia,
00:23:30.280 I've seen them under wedding rings. So actually a xanthoma under a wedding ring. I've seen them
00:23:37.880 everywhere. And then the deposits on the eyes are probably also linked to movement because you're
00:23:42.100 blinking your eye the entire day. And then you have a deposit of cholesterol in your cornea,
00:23:48.900 which is called an arcus cornealis. So it's not in your lens, it's in your cornea.
00:23:56.180 Why that is, there is a lot of conjecture about it, but I don't think people really know.
00:24:02.360 But sometimes, actually, I have made the diagnosis of FH1s in a KLM airplane. So I was kind of lying.
00:24:10.020 There was a stewardess who wanted to give me a drink and she had very blue eyes, you know,
00:24:15.540 these Dutch blue eyes. And I looked in her eye and I saw a ring. I said, when you go back,
00:24:21.020 you need to have your cholesterol checked. And she proved to have FH. So sometimes you can make
00:24:27.800 the diagnosis by really paying attention in the subway or et cetera, because also the extended
00:24:34.180 tendons on your hands are sometimes really visible. There are a number of old Dutch paintings
00:24:40.420 from the 17th century where you can still see the tendons and tomas on the hands.
00:24:46.380 Wow. And of course, they obviously had no idea what was causing that shape, but they wanted to
00:24:51.800 be as accurate as possible and they painted it. So we've established how the diagnosis is made.
00:24:56.940 Do you require the clinical manifestations for the diagnosis? In other words, if you have
00:25:06.660 a 50-year-old person who has had elevated LDL-C for as long as they've had blood tests,
00:25:14.740 so they would say to you, yep, you know, doctor, going back into my teens or 20s, I had LDL-C north
00:25:21.960 of 200 milligrams per deciliter. My doctors always said, that's too high and I didn't care,
00:25:26.500 blah, blah, blah. But now that he's standing in front of you and you examine him and he has
00:25:31.000 no evidence of xanthomas. No arcus?
00:25:34.340 Nothing at all. No physical sign whatsoever. You send him for a CT angiogram and his coronary
00:25:39.360 arteries are clean. But lo and behold, his father also has elevated cholesterol. Let's say he died of
00:25:46.600 heart disease at the age of 78. So he died, but not prematurely. Absent a genetic test, which I assume
00:25:53.660 would seal the deal. Do you say at least phenotypically he still meets criteria for FH?
00:25:59.560 And also let's assume that you've ruled out every other medical thing. So he doesn't have
00:26:02.660 hypothyroidism or kidney disease or insulin resistance.
00:26:06.340 You don't need the physical stigmata to make the diagnosis because we've seen that time and time
00:26:12.200 again. There are people for some reason that have very elevated LDL cholesterol. It is genetic.
00:26:18.260 It is dominant. It is, but it doesn't lead to the physical stigmata. What I haven't seen that many
00:26:24.920 times is what you're describing is that the CT angio is normal in a 50-year-old. So if someone
00:26:30.140 tells me that they had in their teens or late teens or when they went into the military, you know, when
00:26:35.800 they're 18, they had an elevated LDL cholesterol. And when you then see them when they're 50 and they
00:26:41.620 haven't been treated to have a normal calcium scoring and or a normal CT angio, that is really
00:26:50.200 rare for LDLs. Let's say, you know, between two and 300, that's really rare, but we've seen them.
00:26:56.380 And it's interesting is that, so there is a cholesterol overlap. It's like a Gaussian distribution
00:27:01.980 for people like you and me. Then there's also a Gaussian distribution for heterozygous FH.
00:27:07.560 There is an overlap between the two, but now we know, and Evan Stein and I have actually
00:27:12.820 published about that, is that there's also an overlap between homozygous FH and the end
00:27:19.200 of the distribution of heterozygous FH. So you can never use LDL alone as a 100% certain marker
00:27:28.120 for your normal, you have heterozygous FH or you have homozygous FH. This is a syndrome diagnosis.
00:27:35.040 So you need family members, history, and ARCUS, and this and that. And then what's also very
00:27:42.000 important is what you said in the beginning, that this is a unique LDL disease. The moment
00:27:47.280 there's elevated triglycerides, for example, and low HDL, then you immediately have to think
00:27:52.360 about something entirely different, especially in an individual that's not obese or diabetic.
00:27:57.020 Let's go back and make sure we explain to people the difference between what I assume is much more
00:28:04.420 common, which is heterogeneous FH and homogeneous FH. Can you explain to folks what that is?
00:28:11.020 The terminology I find sometimes difficult. So we know, and I'm sure you've discussed that also,
00:28:17.760 I think with Dan Rader, is that there is called polygenic hypercholesterolemia.
00:28:22.840 Now, that sometimes is so severe, the polygenic hypercholesterolemia, that it looks a lot like
00:28:29.900 heterozygous FH. And some people even say, if you've had those genes also from birth onwards,
00:28:35.600 and you've had a high LDL cholesterol, you know, from a young age, the risk of that severe
00:28:40.780 polygenic hypercholesterolemia is just the same as for heterozygous FH. I still find that difficult,
00:28:47.120 because I see when you go look at premature MI, for example, patients with premature MI,
00:28:52.760 there's a huge enrichment for real heterozygous FH. So the homogeneous heterozygous FH.
00:29:01.520 The heterogeneous FH or polygenic hypercholesterolemia, whatever you want to call it,
00:29:07.520 is in my view, still a less severe clinical picture. I've never seen people with that
00:29:14.680 side of the spectrum get heart attacks in their 20s or 30s. So we have found 25,000 heterozygous
00:29:22.020 FH patients. We've published on this. So it's a humongous database. And the monogenic,
00:29:29.920 especially LDL receptor gene mutations, and especially if they're severe,
00:29:34.920 so a premature stop codon, so you don't have any protein at all,
00:29:38.320 that is the most severe form of inherited hypercholesterolemia in my dictionary and in
00:29:45.660 my experience. But truth is, is that your polygenic or heterogeneous FH is probably much
00:29:54.080 more common, even more common than heterozygous, the monogenic form of heterozygous FH.
00:30:00.080 I want to come back to this distinction when we start to talk about therapy in as much as it
00:30:06.580 changes either the initial steps we take or the expected number of steps we take therapeutically.
00:30:13.880 But before we do, I want to put a bow on a few other things. Can you formally state again the Dutch
00:30:20.300 lipid clinic criteria? And then let me know if that sort of differs from others, because I want to make
00:30:25.900 sure that, because there are different criteria for this, correct? And I think one could argue,
00:30:31.360 maybe you're biased, but I might share your bias, that the Dutch criteria might be the most rigorous.
00:30:35.520 Is that?
00:30:36.280 There is the Simon Broome criteria. There is the WHO criteria and the Dutch lipid clinic. Now,
00:30:41.820 the Dutch lipid clinic criteria were put together by one of my coworkers, Peter Landsberg.
00:30:47.800 And this set of criteria was externally and internally validated with mutations and huge numbers.
00:30:55.900 And every time you do a comparison between the Dutch and the rest, the Dutch are winning in terms of
00:31:02.780 their power to predict FH.
00:31:05.680 So it's not unlike Max Verstappen winning the most races, also being Dutch, right? Just to clarify that.
00:31:12.960 Well, I don't know. I don't know how much of a fan you are.
00:31:15.560 I think Max Verstappen is actually totally brilliant guy and a fantastic athlete.
00:31:19.780 This is just something that you get points. So if you have a first degree relative with known
00:31:26.520 premature coronary disease, you have a score of one. Or if you have a first degree relative with
00:31:32.020 high LDL, you get one. Then if you have children or you have this xantometer, you get two. I know this
00:31:39.540 is an audio, but it's a long list. And what's interesting is that if you have a mutation,
00:31:45.960 you actually get eight. And a diagnosis of definite FH is above eight. So you have definite FH,
00:31:54.680 probable FH, possible FH, and unlikely FH, which is great because you can divide your patient population
00:32:01.960 into these categories. And as you're saying, it has a therapeutic consequence. Because if someone
00:32:07.500 has definite FH, we treat from the age of six. That's in our national guidelines. And then we start
00:32:15.460 treating immediately, just to give you a feel for that. Let's just make sure people understand what
00:32:21.820 was just said there, right? If we can, through this very rigorous diagnostic criteria that just for
00:32:28.860 the record was not developed by Max Verstappen, if we can establish that a person has FH with such a
00:32:36.660 high degree of certainty that we would call it definite, we would be treating an individual as
00:32:42.320 young as six years of age. Which means our certainty with which this person's life is at risk in as early
00:32:51.680 as the third decade of their life, i.e. in their 20s, we're so sure of that, that we would do something
00:32:58.660 that honestly, I think a lot of people who don't, especially if you don't really understand the
00:33:02.760 pathophysiology of lipid metabolism, would think that's absolutely insane. Now, I obviously share
00:33:08.780 your view, which is that's absolutely not insane. That's the only way that person's going to go on
00:33:12.180 to live a long life. But I would imagine that that's a very difficult discussion to have with
00:33:17.120 parents. Well, sometimes. Yeah, yeah. I was just about to say, it would depend on what they've
00:33:22.420 already experienced. Absolutely. It's all basically determined by family history. I have seen in the
00:33:30.300 pediatric lipid clinic, especially in the first five to 10 years, mothers with no father anymore.
00:33:37.980 So mothers in their 30s, their husband was deceased. She came with three children. And then one child had a
00:33:46.900 total cholesterol of 10, which is like 400 or something. The middle child had normal cholesterol
00:33:53.760 and the youngest child had a cholesterol of 300 or something. And so that mother really wants her child
00:34:01.340 treated. Yeah. She knows that two of her three children inherited the genes that killed her husband
00:34:09.060 at 30. Exactly. Totally unannounced. The first heart attack was the last. Terrible.
00:34:14.920 One more question, actually, John, before we get to treatment. What is your best guess
00:34:21.640 as to two things? One, the fraction of people with FH who do not go on to develop premature ASCVD. So
00:34:34.160 we'll call this the fraction of people with FH that seem immune to the phenotype. And then, of course,
00:34:40.200 the more interesting question is, what would be some plausible explanations you would offer for
00:34:46.940 that? So let's start with the easier question if it's knowable. We estimate, based on our long-term
00:34:54.140 follow-up of that large Dutch cohort, that about 5% of people escape any disease symptoms at all.
00:35:03.380 So that includes coronary artery, calcium scoring, CT angios, zentalasmata, zentomas,
00:35:11.560 arcus, anything. They seem completely immune to the elevated LDL cholesterol. Now, I have to say
00:35:19.160 that the vast majority of those are women. So that's the first thing. In men, it is extremely rare
00:35:26.860 to have that. So the majority are women. And very often, we discover those women when we go into the
00:35:34.060 family. A child is referred, total cholesterol, 380. There's no thyroid problem, no renal problem.
00:35:43.100 Then we go to the father and the mother and the uncles. And then we find an aunt who's 76, has never
00:35:50.340 been treated. And we measure cholesterol. And she also has an LDL of 250. And then we do mutations because
00:35:56.740 in Holland, the mutation screening is free. The government pays for that. So we do mutations
00:36:02.180 in every one that comes to our clinic, basically free. And so then we find a mutation in her too.
00:36:08.520 And there are some explanations. Very frequently, those women have very high HDL cholesterol.
00:36:15.760 So perhaps some people have such an efficient reverse cholesterol transport system that they can take
00:36:22.820 care of the deposited LDL in the macrophage on the tendons everywhere. It's almost like
00:36:30.100 the reverse cholesterol transport back to the liver is so fast that you can dump anything on them. Doesn't
00:36:35.840 matter. So in other words, they have something protective. Yes, they absolutely have something
00:36:41.480 protective. And so they are almost never smokers. So if you're a man and you smoke and you have FH,
00:36:50.640 it's a death sentence. If you're not treated in the old days or people that are not discovered right
00:36:56.940 now, then really that interaction between one pack or two packs a day with LDL is the worst in terms of
00:37:04.280 heart disease risk. So the women are very rarely smoking. They also almost never have diabetes.
00:37:10.560 So they are thin, active women, have high HDLs and don't smoke. But we have desperately tried,
00:37:18.880 we even had grants and everything to understand genetically if something may be with these
00:37:23.500 people. We and no one, I think, on the planet has ever found a real good biological reason as to why
00:37:32.440 some people are so resistant against LDL cholesterol.
00:37:36.540 And I assume the sample size is not that large, but has anybody looked at monozygotic twins,
00:37:42.480 both with FH, to see if there are differences in progression as a function of various lifestyle
00:37:47.540 factors that might give us a sense of how much of that is driven by divergence in behavior.
00:37:54.880 It's very interesting, by the way, there is one of the largest monozygotic twin cohorts is in Amsterdam
00:38:00.740 at the other university. Doret Boomsma, a wonderful researcher, but FH is just too rare
00:38:07.900 to have enough of those monozygotic twins to make any conclusion.
00:38:11.720 And by the way, I'll just add something based on the discussion with Dan Rader that you referenced
00:38:16.180 that is the HDL cholesterol story is a pretty complicated story. It's a far more complicated
00:38:22.980 story than the LDL cholesterol story. The LDL cholesterol story is actually relatively straightforward.
00:38:27.380 We don't know when we measure an elevated HDL cholesterol if it is a biomarker of something
00:38:34.960 good that is happening, i.e. HDLs delipidating foam cells, macrophages, things like that,
00:38:43.300 or if it's a bad thing. I went really down the rabbit hole three years ago on the literature of
00:38:48.760 people with elevated HDL cholesterol who were developing premature ASCVD. So it posited that
00:38:55.460 these people with elevated HDLC, that was actually a biomarker for very dysfunctional HDLs.
00:39:01.220 Yeah, those are people with SRB1 mutations. Exactly.
00:39:05.520 We found one family and published that in New England. Very interesting. These people
00:39:09.260 had very high HDL, but they had premature coronary disease. But remember, the woman I'm describing
00:39:14.180 is a nice, thin, elderly grandmother who's very active, jumping up and down, doesn't smoke,
00:39:22.360 and her high HDL is definitely not a sign of something dysfunctional.
00:39:28.200 My point being is this is such a complicated, or lack of a more productive word, it's a multifaceted
00:39:36.740 problem for which there might just be in these 5% of people, again, mostly healthy women, who seem
00:39:44.780 immune to the phenotype. There's an alignment of the stars where enough other things are working
00:39:50.360 in their favor that it's offsetting this damage. So let's now talk about treatment. And I want to
00:39:56.840 talk about it through the lens of, are there any differences in how we treat people by sex,
00:40:03.840 by age, and by level of disease at time of diagnosis. So whether we're dealing with
00:40:10.400 primary prevention, and that's a term, I don't know if you would agree with me on this, but
00:40:14.840 I describe primary prevention as treatment when there is not a single discernible sign of disease.
00:40:22.020 Whereas I would call secondary prevention, if you have a calcium score of 5, we're already in
00:40:28.200 secondary prevention, even though you haven't had an event.
00:40:31.260 Or if there are abnormalities on a CTA, of course.
00:40:34.380 That's right.
00:40:34.980 No, I completely agree with you. Primary prevention is rare.
00:40:38.280 That's exactly right. So secondary prevention is, yeah, your CTA might be zero calcium score,
00:40:43.580 but there's a soft plaque well inside the artery, zero luminal obstruction, doesn't matter. You have
00:40:48.600 ASCVD that can be documented by the naked eye, effectively, not even microscopically. So we're
00:40:55.120 in the secondary prevention world. So maybe walk us through primary versus secondary prevention,
00:41:00.620 men versus women, children versus adults, and take that in any order that you like,
00:41:05.760 as far as how you think about treatment.
00:41:07.500 Okay. Let's start with the child. So the child comes to us at the age of six years is the first
00:41:15.380 time a child understands what they eat. And in heterozygous FH, it's very important to start
00:41:23.280 with a very healthy lifestyle early on. So we give them extensive anti-smoking training and we give
00:41:29.480 them extensive dietary counseling for all the good, healthy choices, and also tell them sports,
00:41:37.940 physical exercise. So there's a large, okay. But that never detracts from the fact that we will
00:41:43.340 start with a statin at the age of six.
00:41:46.460 Before you get to that, can you give some insight or color around what type of dietary advice? Are you
00:41:51.440 recommending saturated fat restriction? Because obviously saturated fats, I think in FH, you probably
00:41:58.900 have a greater likelihood of exacerbating the condition. Is it true that people with FH are more
00:42:04.880 sensitive to dietary saturated fat? Or does it just seem that way anecdotally to me?
00:42:09.840 Yeah, that's, I think anecdotally. The problem is, is that we all know that these lifestyle measures
00:42:15.940 are not going to cure FH. They are just supportive, which is very different than for the general
00:42:22.140 population, of course. But heterozygous FH is driven by the LDL and how long a patient is exposed to
00:42:29.220 that LDL. So the earlier we can intervene, the better. Actually, it's pretty clear that if you
00:42:36.060 start intervening early in LDL, you probably add 15 to 20 years to that life versus doing nothing
00:42:43.740 on the medication front. So you need to start treating the child. And of course, you start
00:42:49.040 with a statin.
00:42:49.740 Do you have a preference for statin, John?
00:42:52.720 We used to have a preference for pravastatin because it was kind of seen as the mildest.
00:42:58.580 And we were only allowed in the beginning to use pravastatin because we had done a two-year
00:43:05.720 trial where we showed that carotid IMT in these children, in a randomized trial of pravastatin
00:43:11.800 versus placebo, there was a generation of progression. So we showed already in kids between
00:43:17.500 eight and 18 years of age, that was a Yama paper, actually that we could stop the progression
00:43:23.440 of hetero when we treated them with pravastatin. And this was way back. And now there are guidelines
00:43:30.040 for the American College of Pediatrics. There are European guidelines. And in some countries,
00:43:35.380 they start at the age of eight. Other countries, it's six, but it's somewhere between six and
00:43:39.620 eight. And then you have statin. And I don't think there's much of a preference anymore for
00:43:44.000 a certain statin. Actually, some people have a preference for rosuvastatin because you can dose
00:43:49.220 it at two and a half milligram to start with, which is a tiny pill for a kid. And then you add
00:43:54.740 azinamide because you don't go to goals like you do in adults, but you try at least to have an LDL
00:44:02.540 below 130. So 130 is kind of the number. I mean, there's no, it's very interesting because there's no
00:44:08.580 intervention evidence for this at all, like in adults. You must have seen the Fourier-Olay results
00:44:15.460 that came just out two weeks ago where even LDLs below 20 are better than below 55, are better than
00:44:22.560 below 70. We don't have those data for kids. But I was going to say, I was actually kind of
00:44:27.500 surprised to hear that you would have such a modest goal of 130, given that kids without FH have LDL
00:44:36.440 cholesterol levels of 20 and 30. In other words, we know-
00:44:40.660 That's fighting conservatism.
00:44:42.460 Yes, yes, yes. No, I understand. I just want to make sure-
00:44:43.960 I don't agree. I personally don't agree with the 130, like probably you don't agree because you and
00:44:49.400 I know what the healthy LDL is for your endothelium and it's much lower than 130. But this is always a
00:44:58.220 fight where there are people that say, yeah, maybe we've done a lot of research. We've looked at growth,
00:45:03.760 mental state, at learning ability. We've looked at maturation, hormones, menarche, puberty
00:45:12.200 development, and we've never found any negative effect in kids of statins. But there are conservative
00:45:19.060 people and so we have more modest goals. But I think it's very diverse. There are pediatricians
00:45:26.020 who treat kids more aggressively.
00:45:27.700 I guess my point is it's so ironic because we have the natural experiment right in front of us,
00:45:34.420 which is kids are born with an LDL cholesterol of 10 milligrams per deciliter. And as they go
00:45:40.660 through puberty, it starts to go up. But during the most important periods of development, i.e. when
00:45:47.120 their brain is developing, that's doing so in an environment where cholesterol is virtually
00:45:53.940 undetectable. Absolutely. The first year your brain grows by far the fastest and you have basically
00:46:01.780 no LDL left to go anywhere. So it's completely scientifically agree with you. And by the way,
00:46:08.180 John, has the thinking changed with PCSK9 inhibitors? Because I guess you could make the argument,
00:46:14.020 well, statins are impairing cholesterol synthesis and maybe in a developing child that could be
00:46:22.980 problematic. But a PCSK9 inhibitor has no bearing on cholesterol synthesis. It's simply amplifying
00:46:30.020 LDL clearance. So does that change the thinking at all? Well, it changed my thinking and I agree with
00:46:38.100 you. But there are other indications, all preclinical, so pretty useless in my opinion, that in the embryonic
00:46:46.580 stage, PCSK9 has a role in brain development. And there are some Mendelian randomization studies that
00:46:54.260 pick up an increased signal for Alzheimer's disease with low PCSK9, while all the trials actually have never
00:47:02.980 shown any effect on cognition. But of course, those arguments are again used by people that are more
00:47:08.980 conservative. Listen, we have done all the trials because we have so many kids with heterozygous FH
00:47:14.820 for the files of both alurocumab, evalocumab. We've done all the trials in children for heterozygous
00:47:22.340 FH, also for simvastatin plus azidamide, all the statins alone. We've done Prava, we've done
00:47:28.580 rosubastatin, we've done simvastatin, and then simvastatin azidamibe, and then the PCSK9 monoclonals.
00:47:35.380 And so we've done all that. And the kids are, it's so interesting, kids are not statin intolerant.
00:47:42.340 Meaning you don't see kids developing myalgias and statin-related muscle symptoms at the free,
00:47:51.300 because in adults, we see that about 5% of the time. You're saying you don't see that in kids?
00:47:56.100 No. Because they don't write the inserts.
00:47:59.860 They don't read the inserts. Yeah, exactly.
00:48:02.340 Sorry, they don't read the inserts.
00:48:03.860 But do you think it's also because you're disproportionately using
00:48:07.380 prevastatin, which is milder, or do you think it's true even in the presence of rosuvastatin?
00:48:12.260 No, it's also true in the presence of atorvastatin and rosuvastatin. Yeah. And listen,
00:48:17.380 it's very interesting because we have now a follow-up, and I think that was a New England paper. We have,
00:48:23.380 of course, the kids that were 8 are now 18, 10-year follow-up, and the kids that were 18 are now 28.
00:48:33.140 So we have compared these kids with the generation above them at that age. And none of these kids
00:48:43.060 actually got a heart attack or angina or anything, and the generation above them who didn't get any
00:48:49.620 treatment, of course, because there were no statins or nothing, their early mortality,
00:48:54.820 early coronary disease was rampant. So I think we've already shown, although it's not a real
00:49:00.740 randomized controlled clinical trial, but it's the only way you can do this. You can't randomize a kid.
00:49:05.220 Of course, you can only do observational data, is that treating from an early age actually protects
00:49:11.860 the kids against premature death and premature coronary disease.
00:49:15.140 Okay. So I want to move on to another topic, but before I do, I guess the last thing I want to
00:49:21.380 contrast this with is the adult, middle-aged or otherwise, who shows up either with or without
00:49:30.180 disease. How aggressive do you go there?
00:49:33.300 We're as aggressive as the guidelines tell us to go for non-FH patients. So the kids are transferred
00:49:43.140 from the pediatric lipid clinic to the adult lipid clinic when they're 18, and then we immediately
00:49:48.580 start with PCSK9 monoclonals and pretty soon with incliceran and azitamide. And we really strive for
00:49:56.980 the lowest LDL possible for that individual. And in the homozygotes, we do high-dose statin,
00:50:04.900 azitamide, evalocumab, and now evinacumab, the Regeneron-NHPTL-3 monoclonal antibodies. So
00:50:11.780 those four things constitute the state-of-the-art therapy for homozygous FH.
00:50:17.860 It gets a lot of patients to relatively normal LDL levels. And that is a miracle for homozygous FH.
00:50:27.060 In heterozygous FH, there are about 10% of patients that even with triple therapy,
00:50:33.220 we can't get them to a reasonable LDL. So we call these now severe heterozygous FH.
00:50:39.540 which they probably have more than one mutation. They probably have another mutation somewhere else
00:50:46.980 that makes it a more severe phenotype. But that, we officially don't know that.
00:50:53.220 Meaning these patients on PCSK9 inhibitor plus statin plus ezetimibe, you can't get below
00:51:01.060 70 milligrams per deciliter?
00:51:02.980 Oh no, we don't get them below 100 or below 120. So some of them are really, they have nasty
00:51:10.900 opposition against your therapy. And it's linked, by the way, to the starting LDL.
00:51:16.740 So we say that if your starting LDL is above 300, you have severe heterozygous FH, and that's about
00:51:25.060 10% of the overall heterozygous FH population. Of course, when you start at 300,
00:51:29.940 and you have a statin that takes off 45%, and then another new baseline, 15 to 20,
00:51:36.980 and then another, then you can calculate that it's not that easy to get below 100.
00:51:42.100 Is apheresis even a viable option? Is it easy to pull out? I know it reasonably works for LP
00:51:48.020 little a, but does it work for the majority of the ApoB-bearing lipoproteins?
00:51:52.100 It does. We have an apheresis center in Amsterdam,
00:51:56.660 because we've sometimes diagnosed homozygous FH after six months, in kids of six months,
00:52:03.380 that had a very severe homozygous FH. And then we've had two LDL apheresis kids. But I can tell
00:52:10.660 you one thing, evinacumab is the golden rescue for these children. It's still only used in adults,
00:52:20.340 but I hope that we will be able to use that quadruple therapy rapidly in kids also,
00:52:25.860 because it obviates the need for DL apheresis in many instances.
00:52:31.220 What's the frequency that it needs to be given? The drug is dosed, how frequently?
00:52:35.220 It's intravenous dosing, I think, once a week. But they are working on a subcutaneous formulation
00:52:42.340 of it. Because of course, intravenous, but these kids are used to something.
00:52:46.420 Yeah. I mean, these kids don't have veins. I mean,
00:52:48.260 you're basically putting PICC lines in kids to give them treatment or something. Yeah. Wow.
00:52:52.340 So there is a small but vocal cadre of people out there who kind of refuse to believe that LDL is
00:53:03.300 causally related to ASCVD. Or another sub-variant of this group who believe that it's only causally
00:53:12.180 related to ASCVD in the context of metabolic illness. But if you're metabolically healthy,
00:53:18.100 then LDL is not problematic. Based on your knowledge and experience with FH, which spans
00:53:26.340 the spectrum of metabolically healthy to unhealthy people, how likely do you think that is?
00:53:32.580 These patients that you mentioned before are always used as the stick to beat people like me.
00:53:39.300 Because they say if LDL is truly causal, it's impossible that some people don't get heart disease
00:53:46.180 while having FH. I tried to explain that most genetic diseases are modified by other environmental
00:53:54.820 and genetic factors. But someone, these cholesterolcritics.org, it's a website of a
00:54:02.260 strange bunch of people that absolutely don't want to accept that LDL cholesterol is bad. But
00:54:08.500 my experience with FH, my entire career, I've seen these families, I've worked a hundred hour weeks
00:54:16.660 for years to find all these people. And we were able to find the largest cohort on the planet of
00:54:22.180 heterozygous FH. And these stories are all heartbreaking. So for me, it is so simple because these people have
00:54:28.180 one thing, one, a mutation in a single gene that doesn't do anything else than raise LDL cholesterol,
00:54:36.820 and they drop dead, you know, when they're like 25. So for me, I don't even listen to it anymore.
00:54:43.780 Yeah. I mean, it's the sort of Mendelian randomization also makes that clear because
00:54:47.860 it doesn't just include FH, it goes all the way down. And my response to people when they point out
00:54:53.380 the observation that there are some people with high LDL cholesterol or high ApoB who don't have
00:54:59.460 coronary artery disease is there are also people who smoke their whole lives and don't get lung
00:55:04.500 cancer. And by the way, there are people who never smoke who do get lung cancer. Neither of those facts
00:55:11.220 remotely diminishes the causal case for smoking and lung cancer.
00:55:16.900 I couldn't agree more, Peter. Absolutely. And I find it also because, of course, the FH argument was
00:55:24.980 always the scientific argument of proving that LDL cholesterol, if it's elevated, sits at the core of
00:55:32.260 atherogenesis. And then, of course, when it became clear that there were a few people among these
00:55:37.620 families who could actually live without a problem, they use that as an argument. But I completely agree.
00:55:43.380 The smoking is a very good example, but there are many more.
00:55:46.900 So let's pivot now to a class of drugs that I discussed at length with Dan Rader,
00:55:54.660 the CTEP inhibitors. Because you're very involved in not just the latest of these,
00:56:02.260 but potentially the first one that really appears to have a shot at working. So let's back up for a
00:56:09.540 second. And for folks who either don't remember the podcast with Dan or didn't hear it, let's provide
00:56:15.220 an explanation of what CTEP is and maybe a little bit of the sorted past of the CTEP inhibitors and
00:56:24.980 you know, basically, what is prologue to where you are now?
00:56:28.020 The prologue, unfortunately, is very long, Peter. And it's one of the best examples of how big pharma can make big mistakes.
00:56:37.780 So the CTEP protein was discovered by Phil Barter, the Australian KOL that's now retired.
00:56:45.540 But he discovered this protein. And I think he actually discovered it in rabbits. And why did he look in rabbits?
00:56:53.300 Because if you give a rabbit egg yolk or cholesterol, that rabbit gets atherosclerosis.
00:57:01.060 If you do the same diet to a mouse or to a rat, or a hamster for that matter, they don't get athero.
00:57:09.340 And so it was extremely interesting what made a rabbit different from other rodents.
00:57:15.240 And that is CTEP. So a rabbit has CTEP. So all strategies to lower CTEP were tested in that New Zealand white rabbit,
00:57:26.380 like siRNA, gene therapy, small molecules, antibodies against CTEP. And in all instances, you could cure the athero
00:57:37.980 with lowering of CTEP activity. At the same time, it became obvious that in Japan,
00:57:45.240 there are many people with a mutation in CTEP, so they have very low CTEP. And initially,
00:57:51.920 the first report said, these people live longer than we do, and they are free of coronary disease.
00:57:57.460 So then loss of function of CTEP became a longevity gene. It is still by many people called a longevity
00:58:04.560 gene, because if you don't have it, you live longer, you have less Alzheimer's,
00:58:10.380 you have less diabetes. And in general, you are just simply more healthy.
00:58:15.940 Sort of like PCSK9 loss of function as well. Also a longevity gene.
00:58:20.060 Yes, you don't need that. You don't need PCSK9. The theory is, is that we all went through the
00:58:28.640 evolutionary funnel about 10,000 years ago during the last ice age. There were very few humans alive,
00:58:35.800 especially in the North, and they went through the evolutionary funnel where everything was directed
00:58:41.200 against being thrifty. People that could absorb the last calorie out of a mammoth were favored.
00:58:50.560 And actually, we now think that those genes that we selected during that evolutionary funnel are now
00:58:55.820 bad for us. Like we don't need PCSK9. We don't need CETP. We probably also don't need NGPTL3.
00:59:04.320 And so all of these genes were meant to conserve energy and to conserve cholesterol.
00:59:11.180 And so what CETP does is a very simple thing is it grabs a cholesterol ester molecule from HDL,
00:59:20.080 from an HDL particle. CETP sits on the HDL particle like a little cap. It's a curved protein that sits
00:59:27.120 on top of a sphere. And it has an opening and it sucks a cholesterol molecule out of HDL.
00:59:33.900 Then that particle collides with an LDL particle and there's a little tunnel and it spits the
00:59:41.800 cholesterol ester molecule straight into LDL. So the consequence of that is, is that HDL cholesterol
00:59:48.480 goes down and LDL cholesterol goes up, which in the days of very active LDL receptor activity
00:59:56.820 was a great idea. Because then all the cholesterol went back to the liver and a cholesterol molecule
01:00:03.440 is very expensive to make. It costs 27 ATPs. In a nasty environment like the Ice Age, you want to
01:00:11.220 conserve that molecule. And the best way of conserving a cholesterol is by sending it back to the liver and
01:00:17.700 then the liver can decide what to do with it. Put it in VLDL or in bile or it can do a lot of things
01:00:23.860 with it. But in a situation where our LDL receptors are not that active anymore, adding cholesterol to
01:00:32.660 LDL is not a very good idea. And all the Mendelian randomization studies have shown that people with
01:00:40.000 high activity of CTP have more heart disease, more heart failure, more kidney disease, more diabetes,
01:00:47.580 more Alzheimer, blah, blah, blah, the whole works. And so Pfizer was the first to say, ah,
01:00:54.640 atorvastatin's patent is going to expire within a few years. Let's have another atorvastatin.
01:01:01.000 So we make a CTAP inhibitor called torcetrapib. I was involved in all these large trials. So I was
01:01:08.920 on the steering committee of the evocetrapib trial on all of these trials, except reveal that was done
01:01:14.660 by Oxford. But Pfizer did a phase two. And in the phase two, after four weeks, blood pressure went up
01:01:22.520 a little bit. And then comes the big pharma mistake. Why do we care about a little blood pressure increase
01:01:29.660 if HDL goes up by 70%? They didn't understand why the blood pressure went up and they moved the
01:01:36.880 drug into phase three. That is a fundamental mistake. If you don't understand a side effect
01:01:44.080 in phase two, you don't move a drug into phase three until you've understood it. But listen,
01:01:51.020 it was my fault also. I was on the executive committee of the outcome trial with torcetrapib and
01:01:55.320 we all thought, oh my God, this is going to be the next fantastic wave of drugs in cardiovascular
01:02:01.120 disease. But that drug killed more people than it saved. I remember in September of 2006,
01:02:08.640 exactly the street I was standing on in the financial district of San Francisco when the trial
01:02:14.860 was announced that it was being halted. And I was so, I mean, to quote, uh, planes, trains,
01:02:22.320 and automobiles, if I had woken up with my head sewn in the carpet, I would have been less surprised
01:02:28.200 than that outcome because I too was so optimistic based on the HDL cholesterol increase, even though
01:02:38.900 it was clear this trial was kind of a stupid land grab from an IP perspective on the part of Pfizer,
01:02:44.080 you know, you had to combine it with the Torvastatin and all that kind of stuff.
01:02:47.280 Exactly. Putting that aside, I thought this is going to be a world beater and it turned out to
01:02:52.540 be an enormous failure. Then everybody was fired except the basic scientists who got the assignment
01:02:59.680 to understand what happened. And they, it was so interesting because they took the drug and they
01:03:05.240 infused it into a rat. Now a rat does not have CTP, but the blood pressure went up in 10 minutes.
01:03:13.240 So that told everyone that this is a drug that has an off target effect. Fortunately has nothing to do
01:03:21.160 with CTP, but the drug actually raced straight into your adrenals where it promoted aldosterone
01:03:28.800 production, cortisol production. It raced into your endothelial cells where it promoted endothelin
01:03:35.300 one, which is like an angiotensin two, terrible vasoconstrictor. And all of that led to water and
01:03:42.160 sodium retention, low potassium, high blood pressure, because these were secondary prevention
01:03:49.060 patients. And you don't want a drug like that in a secondary prevention patient. So that was the most
01:03:55.340 unfortunate beginning of a new story in our field, the wrong drug.
01:04:00.620 You know, it's so funny. This was not too long after another epic failure, but one that I would
01:04:07.460 argue resulted in a drug being removed that shouldn't have been removed, but instead required
01:04:12.920 a little bit more work to determine who the susceptible individuals were. And of course,
01:04:16.000 that's the drug Vioxx. I don't know if it had the same name in Europe, but truly a remarkable COX-2
01:04:22.480 inhibitor in a league of its own makes Celebrex look like drinking water in terms of its impotence.
01:04:28.580 And there's no question that there were a subset of patients in whom Vioxx slightly raised blood
01:04:34.520 pressure and led to a small increase in events. But I think Merck, I think it was Merck that was the
01:04:40.640 company that made Vioxx. Again, I don't want to overspeak, but I think their arrogance and refusal
01:04:46.060 to act in a timely manner resulted in just the loss of a drug that I think to this day we'd be better
01:04:53.320 off with and without. There's just something about big pharma where they are often deserving
01:04:59.360 of the reputation they have. Not always, but often they are their own worst enemies.
01:05:06.100 Yeah. This was a prime example of how can you make such a, I mean, I'm now a drug developer myself,
01:05:13.480 so with Michael Davidson, whom I greatly admire. The idea that we would push a drug in phase three
01:05:21.100 while not understanding a side effect in phase two is just incomprehensible. And then what's
01:05:25.960 interesting, and not many people realize that, Peter, then came Roche.
01:05:29.920 Yes. And this is what? This was a dulcetrapib.
01:05:33.340 Dulcetrapib. Yeah.
01:05:35.440 Dulcetrapib. That drug was extremely important for all the science because that drug only raised HDL.
01:05:42.320 It was a very weak CTP inhibitor. It only raised HDL by 30%. And there was no effect
01:05:50.140 on the Kaplan-Meier curve in the cardiovascular outcome style whatsoever. And what people didn't
01:05:55.080 realize, that drug was the end of the HDL hypothesis because there was no effect on LDL,
01:06:01.800 no effect on FOB, no effect on non-HDL, but there was a 35% raising of HDL cholesterol. And that
01:06:08.900 did not translate into one less heart attack or stroke. So that ended the HDL hypothesis in a way.
01:06:16.720 Yeah. And I think we would only go on afterwards to see two Mendelian randomizations. One looking at
01:06:23.960 genes that raised HDL cholesterol, one looking at genes that lowered HDL cholesterol, neither were found
01:06:30.640 to be causally linked to ASCVD. So when I hear people tell me that their high HDL cholesterol
01:06:37.660 is protecting them from coronary artery disease in the presence of high LDL cholesterol, I have to
01:06:43.980 restrain myself in the context of CTEP inhibitor failure number 1, 2, 3, 4, 5, 6, 7, and Mendelian
01:06:51.920 randomizations that, as you said, completely fly in the face of this hypothetical belief system.
01:06:58.640 But what is extremely interesting is that in those days, we didn't understand that you really need
01:07:06.240 to lower LDL cholesterol with a CTP inhibitor to see an effect on ASCVD. So Merck then actually was
01:07:15.480 the third, they got a drug called Anacetrapib. And by that time, people weren't sure anymore whether
01:07:22.340 they had to power an outcome trial on the basis of the HDL cholesterol increase or the LDL. And Merck
01:07:29.200 said to Oxford, just make the trial large enough. And they did a 30,000 patient trial, which is,
01:07:36.520 I think until now, still the largest cardiovascular outcome trial ever. 30,000 patients. But
01:07:43.680 they overestimated the LDL lowering. The drug only lowered LDL by 17%. The baseline LDL in that trial
01:07:54.380 was 60 milligram per deciliter. So the absolute LDL was 11 milligram per deciliter. That predicts,
01:08:01.820 if you put it on the matter regression line, that predicted a 9% reduction in MACE, and that's exactly
01:08:08.860 what they got. So that trial validated that CTP inhibition only lowers heart attacks by virtue of
01:08:16.860 its LDL lowering, and that it answers to the same law as statins, azitamide, and PCSK9 monoclonals.
01:08:26.100 It is on the same regression line. So then Michael and I understood that what we needed to find was a
01:08:34.880 CTAP inhibitor that didn't have the off-target effect of torcetripib that was way more potent than
01:08:41.300 dolcetripib and lowered LDL robustly so we could repeat the anacetripib trial, but then with a much
01:08:48.920 bigger effect size. And we found that drug at Mitsubishi. Before we talk about obacetripib,
01:08:55.560 I want to kind of highlight two things you said. The first is you have literally provided the most
01:09:02.240 lucid evolutionary explanation for our species-wide transition to the preservation of ApoB. I have to
01:09:14.100 be honest with you. I had never heard it explained the way you did, and it makes so much more sense
01:09:19.860 than any other kind of teleologic or evolutionary explanation. So I just want to make sure I heard
01:09:25.480 it correctly because I'm going to use it often. I'm going to be the most boring guy at the parties now
01:09:30.820 because I'm going to use this story to explain it. It's called the thrifty gene hypothesis,
01:09:38.500 and it's more often used to explain, for example, that people in Asia get type 2 diabetes at a much
01:09:47.620 lower BMI than we Caucasians because they've gone through much more famine. When the rice failed,
01:09:56.600 huge famine in the Far East. Yeah, and I've always been familiar with those arguments as they pertain
01:10:03.160 to diabetes and obesity. I just had never taken the additional leap of, hey, I know it takes 27 ATP to
01:10:12.480 make a molecule of cholesterol, but I never made the additional leap, which was, think about how
01:10:18.120 expensive that is. And in an environment that is so resource-constrained, which up until 150 years
01:10:24.760 ago, we were. So we spent hundreds of millions of years in an environment where preservation of
01:10:31.560 resources was the second priority only after reproduction, that of course we would be so effective
01:10:41.000 at LDL clearance. And therefore, of course, we would want to be in the business of shuttling as much
01:10:50.460 cholesterol from HDL into LDL via RCT because we knew it was going to a good place. Back to the liver,
01:11:00.060 it would be circulated as bile. We would ultimately recirculate that pool. We could make more hormones.
01:11:05.120 We could digest more food stuff. Yeah, it all makes sense. And then lo and behold,
01:11:09.800 about an effect of like 150 years ago, it was not such a premium on that now. And we've got
01:11:14.400 more than enough cholesterol to spare. And that thing, that gene that we worked for millions of
01:11:20.420 years to preserve now is biting us in the ass, just like the same genes are around adiposity and
01:11:27.380 insulin resistance. And there's a very interesting additional piece of evidence is that if you make
01:11:33.240 a mouse look like a human heterozygous FH and you infect that mouse with the bacteria and compare
01:11:40.980 the results of infection with bacteria in the non-FH mouse, the FH mouse is better resistant
01:11:48.200 against bacterial infection. And so the theory is, and we've seen that in our pedigrees, is that FH
01:11:55.220 in 1860 was not such a severe disease as it's right now. And maybe there is so much FH because
01:12:05.480 again, in the ice age, having high LDL might have been an advantage as a protection against bacterial
01:12:14.220 infection. These two things converge. Yeah. And think about how amazing that is in terms of a
01:12:20.380 parallel to APOE4. Exactly. Like this is the exact same story as APOE4, which basically was the only
01:12:27.920 APOE isoform we had until what, 200,000 years ago? Yeah. Something like that, I think. Yeah. And
01:12:33.920 it offered remarkable protection against infections. And of course, it's only today,
01:12:41.180 A, with our longer life, but B, I would argue with all of the insults that come with our longer life,
01:12:47.300 that APOE4 is such a predisposing factor to both cardiovascular and neurodegenerative risk factor.
01:12:53.760 Okay. So first off, that was an amazing explanation of the story. So that was actually also, I think,
01:12:59.480 a fantastic prologue for those who missed the discussion with Dan. So let's recap where we are
01:13:05.900 with Obacibitrib, right? That's the current one? Yes.
01:13:09.620 So it is how potent? I guess you've done phase two. Yeah. I don't, listen, I am still a scientist
01:13:16.400 and I don't want to sound like a salesman, but we were lucky finding this drug in Mitsubishi.
01:13:23.580 Yeah. So tell us more what that means. So help folks understand how do you find a drug? How is
01:13:27.420 drug discovery done? How did this thing come about? So I am a consultant to many biotech companies and
01:13:34.240 sometimes companies ask me to look at the pipeline and see if there's anything good or bad in it.
01:13:40.400 So I was invited by Mitsubishi to look at a number of things. And I saw the phase one data of this
01:13:47.100 compound that was still called TA-8995. And I saw that at one milligram, that drug lowered LDL by 27%.
01:13:56.020 Now, remember, Dulcetripib was used at 600 milligram and it didn't do anything on LDL. So I thought,
01:14:05.920 holy moly, this drug is very potent. And then I looked at the CTP inhibition at 10 milligram,
01:14:12.960 which is a dose we're now using. There's a 97% inhibition of CTP. So it's simply in that sense
01:14:20.140 and surprisingly potent CTP inhibitor. And that translates into an LDL lowering of about 50%
01:14:28.260 on top of high intensity statins and an HDL increase of 165%. Now, you have to control yourself when you
01:14:38.400 see those numbers, because you know that the HDL cholesterol increase is not going to do anything
01:14:45.240 for heart attacks and strokes. But Michael and I are not only working on this drug to develop it,
01:14:52.460 we're also scientists. And we wanted to understand all the genetic and epidemiology and Mendelian
01:14:58.980 randomization data. And so we've gone far beyond heart disease with this drug. We're looking at
01:15:06.360 Alzheimer, age-related macular degeneration, septicemia, and diabetes. Because
01:15:14.600 if you really inhibit CTP, you not only stop the transfer from cholesterol from HDL to LDL,
01:15:24.620 but you completely change lipoprotein metabolism and you force the liver to produce more EPO-A1.
01:15:33.560 And you and I can, I think, agree on the fact that EPO-A1 is a fantastic molecule,
01:15:38.820 because it is the molecule that ABC-A1, the cholesterol pump on the cell membrane, recognizes
01:15:46.780 and actually exports cholesterol to. So that was a first. And then we also know that if you produce
01:15:54.880 lots of EPO-A1, you produce lots of pre-beta HDL particles, the small HDL particles. And these
01:16:02.000 particles suck cholesterol out of peripheral tissues. Now, in endothelial cells and macrophages,
01:16:08.980 that's probably good. But what's much more interesting is that they suck cholesterol out
01:16:13.740 of the beta islet cells in your pancreas. And you undoubtedly know that with life, if you're a type
01:16:21.640 2 diabetic, more and more of these cells die till the point that you become insulin-dependent.
01:16:27.180 That is because of the lipotoxicity of that cell. That cell takes cholesterol, can't export it.
01:16:35.460 The sterols are oxidized. They become pro-inflammatory, toxic. The cells go into apoptosis
01:16:41.160 and they die. So that is all. And this is proven now for all four CTP inhibitors. So all four CTP
01:16:49.560 inhibitors in their outcome trial had less diabetes in the treatment arm than in the placebo arm. And we've
01:16:55.640 published that in a meta-analysis about half a year ago. Just to be sure I understand, John,
01:17:01.280 is that because you think regardless of which of the CTP inhibitors we saw, we were seeing more
01:17:07.760 heterotypic exchange between the APO-Bs and the APO-Ns? Okay, so let's explain for people.
01:17:14.560 Tell them the difference between homotypic exchange and heterotypic exchange, which is pretty easy to
01:17:20.520 define, but more importantly, clinically, where these are occurring and why these are leading to
01:17:26.800 the outcomes that we're about to get into. So the sequence is probably this. You stop the transfer
01:17:35.800 of a cholesterol molecule going from HDL to LDL. That will make HDL higher, by definition, and LDL
01:17:46.440 lower. Now, Dan has done stable isotope turnover studies and have shown that the reason for the lower LDL
01:17:58.440 is that they are sweeped up by the liver. So these LDLs actually get 50% lower, which is a huge drop
01:18:08.860 because the liver upregulates, and what can the liver upregulate? Their LDL receptors.
01:18:16.020 At the same time, these large HDLs take EPO-E on board. And as you know, EPO-E is also
01:18:23.580 a ligand for the LDL receptor. So the large HDL particles are also cleared by the liver.
01:18:30.520 And the liver does that because it produces large amounts of EPO-A1, which kind of disturbs the
01:18:38.360 balance. So there is a new equilibrium between removal of lipoproteins by the liver and production
01:18:45.480 of small HDL particles. But that only happens if you almost completely knock out CTP. So you have to
01:18:52.360 really inhibited by about 90%, which is very close to the homozygous patients in Japan.
01:18:59.140 They also have half LDL and about a triple HDL and every other thing that I just described.
01:19:08.100 So it's for me, and I think also for Tom Dayspin and people that really know lipids, this is extremely
01:19:14.440 interesting because it is complex. It is complex, but until now, it is extremely exciting because
01:19:23.600 there are two groups in the world. So this is the diabetes part, you know, where you suck cholesterol
01:19:28.400 out of the beta cell. Then there is the septicemia part that I never really knew about. There are two
01:19:34.040 groups in the world, one in Vancouver and one in Leiden that have shown that if you're born with
01:19:40.100 a loss of function variant in CTP, you are much better protected against septicemia. And not a
01:19:46.620 little bit, but like mortality, big effect. Actually, there are multiple presentations this
01:19:52.120 year of these two groups. And they, of course, want our drug to test it in septicemia.
01:19:57.600 Let me make sure I understand something. And I want to go back and ask a question about FH to
01:20:02.680 bring it back to that. Is there any evidence that FH patients untreated have a lower mortality
01:20:08.580 due to septicemia?
01:20:10.540 It's not great science, but there are some indications, but most of that work is done
01:20:15.860 preclinically.
01:20:17.380 So it's not as straightforward as, look, if you have high peripheral cholesterol, you have more
01:20:25.960 precursor to make corticosteroids and therefore support immune function in the time of sepsis.
01:20:36.140 It's much more complicated than that.
01:20:38.700 No, it's way more complicated. And it's most likely has to do with the scavenging function
01:20:44.440 of lipoproteins. So if your CTP is low, when you get septicemia, your HDL stays high. And it's very
01:20:54.260 likely that the HDL particle functions as a sink for endotoxins and everything else. And so having a
01:21:02.860 high HDL and a constant high HDL during septicemia is a very good thing.
01:21:08.780 And I, on a recent podcast, shared that I used to witness the opposite in the ICU, which was a drop
01:21:15.940 in HDL cholesterol.
01:21:17.440 Yes, you always witnessed that.
01:21:18.660 Yeah. And that would actually be a poor prognostic indicator. Not necessarily poor,
01:21:23.340 it's just that's the normal indication. Yeah, yeah.
01:21:25.640 Yes. If your HDL drops light to nothing, that's a poor prognostic indicator.
01:21:30.540 You are protected against that drop if your CTP activity is low, because it's like having a CTP
01:21:38.280 inhibitor on board, which stops removing cholesterol from HDL.
01:21:42.920 Yeah. So again, this is a function issue that is not just a blind phenotype issue. The sort of
01:21:49.920 paint-by-numbers approach to this problem is high cholesterol good because it's more precursor.
01:21:56.100 No, no. It's CTP inhibition good because you have a bigger sink to dispose of toxic waste.
01:22:04.080 Absolutely. That's it. So that is the septicemia part and the diabetes part. Now, the diabetes part
01:22:13.620 is proven in a meta-analysis. For example, the Roche drug, and that's so interesting, the Roche drug
01:22:20.080 only raises HDL.
01:22:22.560 Doesn't lower LDL.
01:22:24.240 No, zero. And so its protective effect against diabetes can only be connected biologically with
01:22:31.240 the HDL, of course. And so it's now thought that if you raise HDL with CTP inhibition, you
01:22:37.560 protect the bronchiose against apoptosis. It's an effect of about 16 to 20% in the new onset
01:22:46.260 type 2 diabetes between placebo and active treatment arm. So it's not like a tiny effect. It's almost
01:22:52.280 as big as the negative effect of statins on diabetes, which is also at the highest dose, 15%
01:23:00.540 or so.
01:23:01.980 So let's just make sure, again, we bring it back to this idea, because am I correct in
01:23:06.020 saying that obocetrapibs, the first CTP inhibitor that impacts both heterotypic and homotypic
01:23:14.980 exchange?
01:23:16.480 That is very hard to say, Peter, because there is not much work done with the older CTP inhibitors.
01:23:24.540 Dan Rader has done a huge amount of work with the Merck and the cetripib. He has, for example,
01:23:29.980 shown that HDL particles from anacetrapib-treated patients have more cholesterol efflux from
01:23:36.840 macrophages. He has shown that SRB1 is upregulated in the liver by CTP inhibition with that drug.
01:23:44.580 So he has done a lot of that work with the other drugs. Not so much. Not so much.
01:23:50.280 Okay. This is pretty exciting. A sort of student of this world would have to be forgiven for having a
01:24:00.900 little bit of anxiety and fear about being too optimistic here, right? This is one of those
01:24:06.640 things where we've been burned on every one of these, right? There's a track record of four or
01:24:13.620 five consecutive failures, some more epic than others, perhaps none more epic than Pfizer's.
01:24:20.820 And yet, let's just say like if you were a Wall Street analyst trying to get your arms around this,
01:24:26.540 you'd have a really hard time getting excited based on how many times you've been burned.
01:24:31.320 But we're not stock analysts and we're really just trying to come at this through the lens of
01:24:35.500 science. What would you say is the greatest risk that this does not pan out? So let's explain what
01:24:44.440 has, what we know so far. You've completed phase one. So there's no, there's no toxicities.
01:24:48.900 And phase two. We've also completed phase two.
01:24:51.260 And you had four phase two trials?
01:24:53.460 We have one, two, three, four phase two trials. Yes. And we are now fully in phase three. And in fact,
01:25:00.520 all our phase three trials will be fully randomized this year. So we have gone, we've pulled every
01:25:08.040 plug we could. We've started the outcome trial at the same time as our lipid trials, because we
01:25:13.900 of course realize that what we need to show is robust LDL lowering, robust non-HDL lowering,
01:25:21.740 robust APO-B lowering. And then we need to show safety. So blood should be no blood pressure effects,
01:25:28.320 nothing, good safety, good tolerability. It's a tiny pill, a 10 milligram pill. And then of course,
01:25:34.240 at the end of the day, we also need in the future to show outcomes in a cardiovascular outcomes trial,
01:25:39.720 of course. But I have to say that until now, Peter, this drug is well tolerated. We haven't seen any
01:25:47.020 side effects in phase two. And it lowers LDL by half, which makes it just as potent as the injectables.
01:25:54.600 But then in a 10 milligram pill, when we first saw these LDL results on top of high intensity statins,
01:26:01.960 I was kind of amazed at this. Yeah. So I don't want to get too far ahead of ourselves,
01:26:07.440 but I'll just assert something here, which is if this pans out to be as good in large phase three
01:26:14.680 studies as it has been in phase two, the only thing that would stand in the way of this displacing
01:26:21.380 every statin on the planet is cost. Because you'd have equal or better lipid lowering efficacy.
01:26:29.560 And instead of having a small increase in the risk of type two diabetes, you would be patently
01:26:35.260 reducing that risk. We're going to talk about the brain in a moment as well. There may even be some
01:26:40.480 benefits there, but let's put that aside for the moment. So there's a lot riding on this.
01:26:45.320 It's cheap, Peter. It's very cheap to make.
01:26:47.920 Well, I was going to say, given that it's not an injectable monoclonal antibody, this-
01:26:51.420 Yeah, it's cheap to make. And yeah, it's actually very cheap to make. I think this is public
01:26:56.560 knowledge. It will cost $36 per year to make this drug at the time when you have lots of patients. So
01:27:04.920 what's called peak sales. So the drug is cheap to make, and that will allow us to price it
01:27:11.980 reasonably and ethically. And that is something that Michael and I have always wanted,
01:27:18.660 is to have a drug that lowers LDL that you can use on top of statin or in a fixed dose combination
01:27:25.440 with azitamide that robustly lowers LDL and ApoB, has little or no side effects, and is easy to put in
01:27:33.540 your pillbox. Because the vast majority of my clinic in Amsterdam, they have pillboxes.
01:27:39.040 And they are a bit afraid of a needle, and they want an extra pill to get their LDL down.
01:27:45.380 So let's talk about the three trials. Just to be clear, the three, phase three trials,
01:27:50.900 you have Broadway, Brooklyn, and Prevail, right? So Broadway is 2,400 patients one year.
01:27:57.200 It's looking at drug-
01:28:00.720 ASCVD patients.
01:28:02.080 So these are high risk. So this is secondary prevention in people who are on their existing
01:28:08.400 maximally tolerated lipid-lowering therapy, and you're going placebo versus drug. It's not open
01:28:14.640 label, correct? Yep.
01:28:15.960 No, no, no. It's placebo-controlled, two-to-one randomization.
01:28:19.000 And is the belief that this trial in 52 weeks with 2,400 patients is significant enough to
01:28:26.000 see a difference in MACE? Or is this not powered for MACE, and it's just a biomarker study?
01:28:30.640 No, it's not powered for MACE. But of course, every phase three trial, whether you've alirocumab,
01:28:36.800 evalocumab, incliceran, or even bampidoic acid, we are adjudicating events. We expect about 120
01:28:45.260 events in its entirety. And of course, we hope to see a trend. That's what you hope.
01:28:51.400 Yeah. So in other words, rather than 80-40 between your two-to-one randomization,
01:28:55.560 there may be a significant difference, although you're not really powered to it unless
01:28:59.440 the difference is significant.
01:29:01.200 We are not allowed to do statistics. The FDA does not allow to do statistics,
01:29:05.360 but this is just descriptive. And exactly like incliceran, incliceran had about a 30% difference
01:29:12.580 in events if I remember correctly. And that at least gives you an indication that it's moving
01:29:19.000 in the right direction. So everyone hopes for that, of course.
01:29:23.540 Okay. So then you've got Brooklyn, which is a very small trial, but it's also-
01:29:27.100 FH.
01:29:27.380 Yes, exactly. That's in heterozygous FH, 300 patients, same thing.
01:29:32.180 Same thing.
01:29:32.720 And then prevails the big one, right? So that's where you've got 9,000 patients. And
01:29:39.120 are these people with existing ASCVD as well? So it's also secondary prevention.
01:29:46.060 Yes. It's hardcore ASCVD. And we've even entered a lot of risk-enhancing factors into this trial.
01:29:55.160 Because we understand that the higher the risk, the easier it is to show a benefit. And we also
01:30:01.700 strive for a baseline LDL of around 100. Because if your baseline LDL is around 100 and your LDL
01:30:10.100 lowering is 50%, then your absolute difference is 50 milligram per deciliter. If you plot that
01:30:17.260 on the CTT metoregression line, you have a 27% MACE reduction, which of course you can't do because
01:30:26.440 there will be people on off-drug, there will be people who are going to take a PCSK9 monoclonal.
01:30:33.740 But at least we are very sure that it's going to be more than 20% MACE reduction.
01:30:40.960 And aside from not having coronary artery disease, what are the exclusions for Prevail?
01:30:47.260 If your LDL is below 55 milligram per deciliter. So we have adapted Prevail to the new American
01:30:53.940 College of Cardiology guidelines. So one of the things that I've talked about,
01:30:58.780 I think on this podcast, is that when Fourier and Odyssey were launched, especially Fourier,
01:31:06.760 I was personally quite skeptical. Not because I didn't believe PCSK9 inhibitors would work. I
01:31:12.240 really believed PCSK9 inhibitors were going to be a home run. I believed that they were going
01:31:17.160 to be incredibly safe. So all these things that ended up being true, I actually believed,
01:31:21.860 but I thought the trial would fail because the patients were coming in. This was also secondary
01:31:28.860 prevention. So a very similar patient population to Prevail. These people have an average LDL
01:31:33.880 cholesterol of something like 70 milligrams per deciliter on the way in. So you're taking
01:31:37.820 people who are heavily drugged to LDL cholesterol of 70 milligrams per deciliter,
01:31:43.040 randomizing them to PCSK9 inhibitor versus placebo. My thought was you can't do that study long enough
01:31:49.360 to see a difference. Well, I turned out to be completely wrong, right? That study was halted
01:31:54.000 at something like 3.2 years. But do you worry about that risk here, which is you've got patients
01:32:00.900 that are so heavily medicated. Yes, you're going to exclude them if they're down at 55, but look,
01:32:06.580 you're going to have a lot of people at 70 milligrams per deciliter.
01:32:09.260 Yeah, but it's interesting is that we have already randomized a very robust number because we expect
01:32:14.740 to be ready before the end of the year with 9,000. So you can imagine that we already have a
01:32:19.080 substantial amount of people and baseline LDL is still exactly where we want it around 100
01:32:25.400 because we have actually kind of promoted the inclusion of high LDL patients into our trial,
01:32:32.860 in our discussions with the sites and everything. And what was another very big mistake of Fourier was
01:32:40.860 that it was not 3.2, but it was 2.3 years. Oh, gosh. I got my numbers mixed up and it becomes even
01:32:48.400 more. Yeah, it doesn't matter. It does a 2.3 and that was too short. That was too short. So we've said
01:32:55.200 after our last patient goes in, we at least want to have a two and a half year follow-up.
01:33:03.380 So that determines that your trial, because of course, everyone before that already has follow-up
01:33:10.180 and then you add another. So we think that we'll have a median follow-up of three and a half to four
01:33:15.640 years, and that's really long enough to see the full effect of lipid lowering. Is Prevail being run
01:33:22.480 in Europe and North America? Yes, absolutely. Canada, North America, South Africa, Europe,
01:33:28.460 Eastern Europe, Western Europe. Any other side effects show up in phase two? Obviously,
01:33:34.220 you're not seeing insulin resistance. You're not seeing any muscle soreness, any of the typical
01:33:38.340 statin-related side effects. Any GI side effects, anything, or is this truly a- Zero.
01:33:43.120 I hate to sound like a salesman. We have a paper in the Nature Medicine, Lancet, and we are submitting
01:33:52.420 our ROSE2, which is our fixed dose combination with azitamide to another very good journal.
01:33:59.100 And so you look at the tables, there are no side effects. We have not identified a single side
01:34:04.780 effect related to study drug until now. Now, of course, that will change because in phase three,
01:34:09.500 the numbers are bigger. But in phase one and phase two, we have seven phase one studies and four
01:34:14.060 phase two studies. There's nothing. By the way, which was also true for the Lilly CTAP inhibitor,
01:34:21.820 the ROSE CTAP inhibitor, and the Merck CTAP inhibitor, there were none of these three had
01:34:27.380 side effects. 60,000 patients in outcome trials. So the drugs, if you discount the Pfizer misery,
01:34:34.940 the rest of them was very safe. Yeah. So in that sense, from a side effect profile,
01:34:41.420 we're really moving into a world where between bempendoic acid, ezetimibe, potentially
01:34:48.260 obisetripib, and PCSK9 inhibitors, you're talking about a class of drugs that don't have side effects.
01:34:55.760 It's really the statins, which obviously do have side effects, although in relatively fewer people
01:35:02.120 than is generally perceived, that kind of give the overall class a bit of a bad name in terms of
01:35:08.220 side effects. Yeah, there's still, you know, books out there like the cholesterol myth and statins are
01:35:14.400 toxic. And it's interesting because in people that really need it, like severe heterozygous FH,
01:35:22.540 you see a lot less statin intolerance than in people in primary prevention that just
01:35:28.040 have it as a lifestyle drug. So there is a large psychological component to all of this,
01:35:33.900 undoubtedly. So do we see any benefit on LP little a reduction?
01:35:42.460 We do. How much? 56%.
01:35:46.100 Oh, so more than with a PCSK9 inhibitor then?
01:35:50.380 Yes. Okay. So say more about that.
01:35:55.620 So again, Dan Rader, you know, he's my lifesaver. So Dan did a stable isotope study with anesetripib
01:36:03.540 and found out that that CTP inhibitor inhibited the synthesis of EPO little a.
01:36:11.240 Now, how that is possible, I have no idea at all, because I cannot connect an intracellular synthesis
01:36:22.040 of a protein to a drug that sits on an HDL particle in your circulation. So there must be
01:36:29.780 a link that we still don't understand. So he, but he, that was a stable isotope study published in a good
01:36:36.240 journal. He's going to do all of that again for us. So we are going to do a stable isotope study
01:36:42.000 with Dan for EPOB containing lipoproteins, and we're going to look at EPO little a. But in our
01:36:48.960 ROSE trial, which was, you know, the Nature Medicine publication, LP little a went down by 56%
01:36:55.540 of the 10 milligram dose and 43 on the five milligram dose. What's interesting is that other CTP inhibitors
01:37:03.860 lower LP little a by about 20%, but they are about one third of our efficacy. So it feels like the LP
01:37:14.260 little a lowering is in conjunction with the LDL lowering. But again, sorry, Peter, I, I'm, I can't
01:37:24.260 explain this. I can't. No, no, it's amazing. And of course, for those listening with elevated LP little
01:37:29.460 a, which of course is hands down the most common genetic finding that leads to premature ASCVD.
01:37:36.580 I mean, if we know that there are a few thousand people that are, you know, listening to this who
01:37:40.820 have FH or some trait, there's tens of thousands listening who have elevated LP little a. As impressive
01:37:47.620 as a 50% reduction is, we don't yet know if that's clinically enough to reduce outcomes. And that's
01:37:53.820 where I still think I have not had Sam Tamikas on the show, but remains to be seen if the ASO inhibitors
01:38:00.600 will be the lifeline there. So I think that we'll have to put a TBD pin in that. I want to go back to
01:38:06.760 something else that we didn't talk about, but I want to just remind the audience of the Mendelian
01:38:13.540 randomization. So we go back to the observation, which is that CTEP activity is largely genetic.
01:38:23.460 And we've already talked about the fact that there are some people who basically are CTEP
01:38:30.500 hypo-functioning individuals. These people tend to live a very long life. They have less heart disease,
01:38:36.900 they have less Alzheimer's disease, they have less diabetes, less heart failure, and less renal disease
01:38:43.500 also. Oh, I didn't know about the renal disease. Okay. So we basically say, look, in addition to
01:38:48.760 APOE2 as a longevity gene, FOXO, APOC3 hypo-functioning, we can now add hypo-functioning CTEP
01:38:57.260 to the list of things like hypo-functioning PCSK9. When you go and look at the MR, the Mendelian
01:39:02.920 randomization, it makes it very clear that for every one microgram per milliliter decrease in a
01:39:10.520 genetically determined CTEP concentration, we're going to see about a 0.1 millimole per liter
01:39:18.760 reduction in LDL-C, about the same reduction in triglyceride, this enormous 2 plus nanomole per
01:39:26.760 liter reduction in LP little a, the 0.2 to 0.25 millimole per liter increase in HCL cholesterol,
01:39:33.300 et cetera, et cetera. But one of the things I never realized was you're also seeing a reduction in
01:39:37.540 blood pressure, about 0.2 millimeters per mercury, which again, doesn't sound like much until you
01:39:43.800 realize that this is just normalized to one microgram per milliliter. You also see a 0.1 roughly millimole
01:39:51.000 per mole change in hemoglobin A1C. In other words, this is a potent antihypertensive agent as well.
01:39:58.240 What in the heck explains that? Yes. So there's absolutely no explanation for that. It was, by the
01:40:07.540 way, very interesting because those data on blood pressure were already known at the day of
01:40:13.400 torsotropib. Which should have been a red flag to these guys, right? Exactly. Which should have been a
01:40:18.680 double red flag to these guys that if you inhibit CTP, you can't, the blood pressure increase has to
01:40:25.360 come from something else. Okay. But no, no one understands the blood pressure at all. There's
01:40:30.020 no, because CTP is made by the Kupfer cells in the liver and it gets synthesized, excreted. It sits on
01:40:39.920 the back of an HDL particle. One in 10 HDL particles have a CTP protein on their backs. And the half-life
01:40:48.960 is actually the half-life of an HDL particle, which is about a week. So it's a very simple protein.
01:40:55.180 It sits in your circulation or an HDL does what it needs to do. And how on earth it can have anything
01:41:01.260 to do with blood pressure, I would surely not know. The relation with brain lipid metabolism,
01:41:07.560 there's much more known about that now than, let's say, two years ago. So there, we're making
01:41:13.360 great strides in understanding how loss of function of CTP influences brain cholesterol metabolism.
01:41:22.820 That's fantastic science. So I know I promised you that I wouldn't keep you up too late in the
01:41:29.040 evening in Amsterdam, but I just don't see how we can end this podcast now without going down that
01:41:34.380 rabbit hole a little bit. Would you grant our listeners a little bit more of your precious
01:41:37.840 time that you've been generous in sharing? Okay. Thank you, John.
01:41:40.560 So if you look at late-onset sporadic Alzheimer, which is the vast majority of Alzheimer patients,
01:41:48.440 65% have an EpoE4 molecule on board. They're either E4E4 or E3E4 or E2E4. So they have an E4.
01:41:59.320 If you have E4E4, your risk for Alzheimer's is 16 times higher than when you have E3E3. And if you
01:42:06.740 have E3E4, your risk is about four and a half times higher. We now begin to understand why
01:42:13.140 carriership of EpoE4 is so bad for the brain. EpoE4 is an insufficient molecule to get cholesterol
01:42:23.140 out of cells in the brain that have too much or bring cholesterol to cells in the brain that have
01:42:29.280 too little. So it fails on both accounts. It is not a good acceptor of cholesterol and it's a bad
01:42:37.000 bringer of cholesterol. And so if you are E4 and those cholesterol abnormalities accumulate over life,
01:42:46.380 you actually get sterile accumulation in neurons. And if you have sterols in a cell too long,
01:42:54.980 they get oxidized. I mean, everything oxidizes in us. We rust. Like anything else, if we are exposed
01:43:02.160 to oxygen, we get oxysterols. Oxysterols are what kills cells. It gives a pro-inflammatory signal.
01:43:11.280 It drives cells into apoptosis. It is the worst thing that you can have. Now, an oxysterol is not
01:43:17.980 much of a problem if you have a functioning particle in your brain that sucks the sterols out of the cell
01:43:24.760 and then converts it to 24-hydroxycholesterol and that gets through the blood-brain barrier to your
01:43:31.220 liver, up into bile, and it's gone. That whole normal process where the brain needs a lot of
01:43:37.840 cholesterol for myelinization, building synapses, building these sprouts, and at the same time,
01:43:45.560 if they have too much, they want to get rid of it fast in order not to get, is all wrong in an
01:43:50.440 ApoE4 carrier. So what is the protein that can help here? It's only one protein, ApoA1.
01:43:59.080 ApoA1 can take over all these functions of ApoE4. And how do you get ApoA1 in the brain?
01:44:08.900 By raising it substantially in the circulation. Because unlike ApoE, ApoA1 can get through the
01:44:16.080 blood-brain barrier because it's small enough and there's very likely a specific receptor that
01:44:22.660 actually pushes it through brain cells. And which drugs do raise ApoA1 by far the most? CETP
01:44:31.460 inhibitors. So that is the connection. So these large HDLs, they acquire ApoE because they get larger
01:44:40.620 and they lose their ApoA1. And we think, and we have preclinical, already some evidence for that,
01:44:47.560 but we're doing a trial in humans where we tap CSF to look at ApoA1, that if your ApoA1 concentration
01:44:54.980 goes up in the circulation enough, you'll push it into your brain. And once it's in the brain,
01:45:01.040 it takes over the function of this dysfunctional ApoE4. It's a fantastic story, Peter.
01:45:07.240 The nomenclature makes this complicated. So I guess let's make sure people understand what
01:45:12.280 we're talking about. It's always a problem when the gene and the protein have the exact same name,
01:45:18.520 right? At least with Lp little a, we have the Lpa gene and then Lp little a, the lipoprotein. But here,
01:45:26.740 it's the same name. We denote it differently, right? We use all caps versus not and italics and all that.
01:45:31.760 But when we talk about the ApoE4 gene having these three isoforms, 2, 3, and 4, you're going to get
01:45:39.520 six different combinations of them. But what you're talking about is the protein. You're talking about
01:45:44.260 the thing that is made by the gene. Again, what's just another remarkable insight into the complexity
01:45:50.460 of biology is the protein ApoE, which is not designated 2, 3, or 4. It's just the protein ApoE.
01:45:57.540 The one that is made, that is transcribed and translated by the E4 isoform, I believe it only
01:46:05.120 differs in one amino acid from the wild type. It's a very subtle difference, right?
01:46:10.260 It is. It is an arginine for a glutamine, I think, or something at amino acid 152 or 118. I can never
01:46:17.040 remember it.
01:46:17.420 I always thought it was 127. So yeah, one of us is wrong, but yeah, whatever.
01:46:21.040 Yeah, well, I'm sure I'm wrong. It's only one amino acid. And that changes the three-dimensional
01:46:28.580 conformation of that protein completely and makes it basically a lousy cholesterol acceptor
01:46:35.940 and transporter. If you carry an E4, you have like a list this long of things that go wrong
01:46:42.800 in your brain. It's pro-inflammatory. It is insufficient in lipoprotein metabolism.
01:46:48.800 It is no longer a chaperone for beta amyloid. You know, it's like a very long list and it's
01:46:55.040 terrible for people that have E4. I think one of these Hollywood actors actually knows that
01:47:01.460 he is an E4 carrier. He's that athlete.
01:47:05.180 Chris Hemsworth. Yeah, he disclosed this during the Limitless series, which I think was really
01:47:11.000 valuable for a lot of people to see, to bring a lot of awareness to this. And by the way, I've
01:47:16.020 made the point many times that it is very valuable for someone like Chris to know that he has APOE4
01:47:24.440 because the earlier you take steps to prevent the exacerbating risk factors, the better your odds.
01:47:33.040 I mean, the one thing that's important to point out, you opened this discussion by explaining
01:47:36.880 the risk factors. I look at data that suggests it's a little less than 16 and fourfold. I think
01:47:42.880 it's sort of maybe closer to tenfold and twofold, but we don't need to worry about that. There's no
01:47:46.920 question it's high risk, but it's important to note it's not deterministic.
01:47:49.500 No, it's not deterministic.
01:47:50.980 And in fact, it's far less penetrant than FH is.
01:47:55.260 Yes, it is.
01:47:55.780 There are lots of people walking around with APOE4 that are not getting Alzheimer's disease. And as you
01:48:01.020 pointed out, a third of people with Alzheimer's disease don't have APOE4. So everything we're
01:48:05.900 talking about here is fair game to everybody. What you said that's interesting that I didn't
01:48:10.240 realize until today was APOE1 can traverse the blood-brain barrier. And therefore, if you have
01:48:20.040 a therapy that raises APOE1, you can potentially offset the damage of a defective APOE in response
01:48:30.380 to APOE4. Do we have a sense for many of the preclinical work that's been done or even the
01:48:35.460 early clinical work that's been done, what the magnitude of that can look like? Where I'm going
01:48:39.660 with this, of course, is how could we begin to quantify the potential benefit of this? Is this
01:48:48.040 something where, as you probably know, Mike Davidson also very involved in the clotho space,
01:48:54.560 right? Also very involved in looking at the observation that those with clotho KLVS variants
01:49:01.240 seem to have almost complete protection from their APOE4 gene. It's a remarkable finding.
01:49:09.320 Yeah. So there is one large Mendelian randomization study in E4 carriers and which gene can protect you?
01:49:19.000 loss of function of CTP. So we already have Mendelian randomization data in humans that low CTP
01:49:27.880 protects an APOE4 carrier against Alzheimer's. But what you just asked me is, can we have an effect
01:49:35.380 size here? We are doing a proof of concept trial where we tap cerebrospinal fluid and we look at,
01:49:43.840 I mean, like 50 biomarkers. Because what we hope is that APOE1 goes up in the brain.
01:49:52.160 That the consequence of that is that the cells are going to normally synthesize cholesterol.
01:49:58.880 So the desmosterol and lactosterol levels should go up because cholesterol synthesis is normalized again.
01:50:07.080 At the same time, 24-hydroxycholesterol should also go up because cells are getting rid of cholesterol
01:50:13.480 in a normal fashion. And the inflammation biomarker should go down because you basically substitute
01:50:21.560 for this dysfunctional E4. So in order to understand the effect size, we need to be able to make a story
01:50:28.620 where we say dysfunctional E4 replaced by A1, normal cholesterol synthesis is on again,
01:50:36.940 normal cholesterol removal is on again, inflammation goes down. And of course,
01:50:41.860 this proof of concept trial is only six months. So there won't be much in Alzheimer biomarkers.
01:50:46.840 But if we can show that we improve lipoprotein metabolism in the brain,
01:50:50.940 it is a first step into a fascinating journey, I would say.
01:50:55.500 Will you be measuring desmosterol and lactosterol in any of these trials or in all of them?
01:51:00.540 Yes. Yes. No, we, in the Alzheimer trial, we do.
01:51:03.940 Which is prevail is the one where you're going to...
01:51:06.100 No, no. The Alzheimer trial has no name. The Alzheimer trial is a trial in...
01:51:11.080 Oh, it's a fourth trial. It's a fourth trial. It's a fourth trial. Yes, it's a fourth trial.
01:51:15.480 But we have no name for it because it's in a single center in Amsterdam and it's a large Alzheimer
01:51:21.320 center where we have basically mild cognitive impairment with a diagnosis of Alzheimer. So
01:51:28.780 early Alzheimer, we give them our drug and we serially measure both blood and CSF by spinal taps.
01:51:35.800 I got it. But you will not be in prevail, for example. Will you be looking at lithosterol,
01:51:41.140 desmosterol levels? We have a lot of spare tubes. So that is definitely something that,
01:51:48.320 you know, we have a quite a wish list of things where we want to look at. Yeah.
01:51:52.880 Well, inquiring knuckleheads like me want to know. Let's close out our discussion,
01:51:57.940 John, with an explanation of the role of APOE in cardiovascular disease. Because it,
01:52:05.040 you know, APOE gets a lot of attention for what it's doing in the brain. We just had a pretty
01:52:09.940 brief but insightful discussion on that. But I think people are less clear on the relationship
01:52:16.180 of APOE in the heart. So what can we say about atherosclerosis and APOE?
01:52:21.080 Again, APOE4 might have been wonderful during the ice age, but now it's bad because it's associated
01:52:29.180 with higher LDL. It's associated with a more pro-inflammatory state and it's associated with
01:52:36.060 more heart disease. Now, if people have a hard time believing how it's possible that when you're
01:52:42.820 in E4 that you have higher LDL, the explanation is, is that APOE, of course, sits on VLDL and on VLDL
01:52:51.260 remnants. And APOE4 actually is a better ligand for the LDL receptor. It's an amazing story,
01:52:57.920 the APOE story. Better ligand than E3E2. And so, especially the chylomicron remnants and the VLDL,
01:53:04.680 so IDL races into your liver and that will downregulate the LDL receptor and therefore
01:53:11.440 LDL goes up. Sorry, just to make sure folks understand that because that's, it's a bit
01:53:15.840 counterintuitive, right? This is a little bit of a paradox. It is totally counterintuitive.
01:53:20.260 If you have APOE4 and it's a higher affinity ligand for the LDL receptor, it should mean that
01:53:29.900 APOE4 generated proteins lead to more rapid clearance of LDL. But if I understand you correctly-
01:53:38.000 Not LDL. There's no APOE on LDL. Yes. Yeah. Okay. Sorry. Sorry. Yeah. So-
01:53:44.520 Because it's all on the remnants and on VLDL. I see. And that's the point. So because it's
01:53:49.060 the remnants and the VLDL, those readily get attracted, downregulate the LDL receptor. So
01:53:55.660 there's less LDL receptor to get rid of LDL. Is that the chain of events?
01:54:00.780 That's the chain of events. But there's much more to E4 than just a little lipoprotein metabolism.
01:54:07.220 There's, like in the brain, there is enough association with other things that you don't want. I mean,
01:54:13.920 this chronic pro-inflammatory state that people like Paul Ritker, you know, has made his life's
01:54:20.520 work of is also associated with an E4 carriership. And does the association with APOE4 in terms of
01:54:29.840 risk vanish once you normalize for APOB? Or is there still residual risk based on these other factors,
01:54:38.080 such as inflammation, that exist and persist once you've normalized for APOE3 versus APOE4
01:54:44.680 in the context of the same LDL-C slash APOE3?
01:54:49.220 If you ask Alan Snyderman, he'll say that if you control for APOE3, everything falls away.
01:54:56.600 And that it's the number of, you can also look at NMR, LDL particles, but that APOE3 is really,
01:55:03.660 is really what drives all our statistics in cardiovascular disease. It's very interesting.
01:55:09.240 For example, you've seen the bampidoic acid data. So the clear outcomes trial was on the line
01:55:16.180 of absolute LDL lowering versus MACE reduction. So where is the room or the space for the CRP lowering
01:55:26.540 effect if you're on the line? And I really admire Alan Niemann. He has been stoic in his emphasis
01:55:33.980 on APOB for so long. And finally, he gets this kind of vindication now where most people would
01:55:40.260 agree that non-HDL and APOB are a better prognostic marker and a better measure of therapy than LDL
01:55:47.160 cholesterol by the Friedewald formula. But if you ask me personally, Peter, I think that APOE4 has a few
01:55:54.320 properties that you cannot completely knock out statistically or biologically with APOB lowering.
01:56:02.280 Yeah, I don't think that's a big stretch. And it might be that Alan's view and that view are not
01:56:08.440 completely at odds, right? It could be that those other effects are small enough that on a clinical
01:56:14.860 level, you would need really large sample sizes and lifetime exposure metrics to see the difference.
01:56:21.480 It also could be that there are other amplifying features. In other words, if you take two healthy
01:56:28.620 people, one E4, one E3, with the same APOB, the risk is relatively similar. But if you take two
01:56:37.660 unhealthy people, type 2 diabetes, NAFLD, profound insulin resistance, one E4, one E3 with the same
01:56:45.760 APOB, it could be that those other factors create more of a gap between those people on a Kaplan-Meier
01:56:53.100 curve. I think that that's very reasonable. And I tend in that same direction.
01:56:58.440 I mean, I think for me, part of the takeaway here is just that I'm trying hard not to be excited,
01:57:03.520 right? I think that, as I said before, when you're once bitten, twice shy, and I've been a very vocal
01:57:10.600 critic of these trials, meaning the last 15 years of CTEP inhibitors. And I would say that perhaps I've
01:57:19.820 been too harsh, and I've been mostly a critic of the HDL hypothesis, and I've relied on the CTEP story
01:57:29.440 along with the Mendelian randomization as my rationale for that. And in reality, I think that
01:57:35.420 that has created a little bit of a blind spot in my eye towards a more pure biologic understanding.
01:57:42.080 And of course, I'm the last person who should have this blind spot because part of my interest is in
01:57:47.760 longevity. And it's clear to me that CTEP is a longevity gene, meaning the hypofunctioning variant
01:57:54.200 is as much a longevity gene, if not more, than the hypofunctioning PCSK9. So it's with the tincture
01:58:00.760 of embarrassment that this is sort of my mea culpa to say, I have been too down on CTEP inhibitors,
01:58:06.640 and I'm very hopeful that Obisetribib not only redeems the field, but also gives me something to
01:58:12.520 be excited about clinically in my practice. Thank you very much for that. And to be quite
01:58:17.680 frank, I was much like you for a long time. And it is, you know, you have to imagine the kind of
01:58:23.760 turnaround you have to make in your head. I was a strong believer in the HDL hypothesis
01:58:28.640 until the Roche trial. Then I had to turn around away from HDL, back to LDL and APO-B,
01:58:36.760 and then understand the blood pressure effect, understand the mistakes in the trials, try to
01:58:42.160 find a drug that didn't have all that baggage. My first New England paper was in 1987. What we did
01:58:49.300 is we measured CTEP activity in a coronary angiography trial. In those days, we only had coronary
01:58:56.140 angiography with pravastatin. And it was, if you had high CTEP activity, you had the worst progression
01:59:03.180 of coronary disease over that two-year trial. So that taught me that CTEP was bad. And since that
01:59:09.540 day, I'd wanted to find an inhibitor that was something that I could work with.
01:59:15.260 It's such a beautiful story. You've articulated it very well, John. And I do hope that at some point,
01:59:22.900 you find the time to write kind of a clinical philosophical paper about science, which is,
01:59:29.480 we lost our way, we as the field, meaning I'm just observing the field, but the field lost its way
01:59:37.160 in this drug based on the wrong biomarker. We were using HDLC as a biomarker because we didn't
01:59:46.180 have a better biomarker for CTEP inhibition. And so the initial insight in the biology was right,
01:59:53.180 but by having the wrong biomarker and failing to understand the mechanism of that, 15 years,
02:00:02.280 and I don't know how many billions of dollars, but it's probably approaching 10 billion, if not more
02:00:08.380 dollars were wasted. And tragically, by the way, it should be noted, some lives were lost, right?
02:00:14.060 We don't want to lose sight of the fact that this resulted in lives lost during these clinical trials.
02:00:19.920 And that's the price we do pay as a society to advance knowledge. I don't want to suggest that
02:00:25.200 you can never have a loss of life in a clinical trial, but it's just a sobering story.
02:00:30.840 But if you would forget about everything that happened before, what we want nowadays is strong
02:00:37.420 Mendelian randomization evidence. We want lots of phase one and phase two trials to show that there
02:00:43.680 are no some bizarre side effects. And then you gently go into a phase three with a DSMB and
02:00:50.060 everything. And you don't do a phase two where you see a blood pressure effect and you say,
02:00:55.120 oh, what the hell? And you know, that would not be possible today anymore. Fortunately.
02:01:01.000 And that's a good thing. Yeah.
02:01:02.040 Yes.
02:01:02.960 Well, John, I'm really glad that Tom reached out to you to ask if you'd be willing to be on this
02:01:08.440 podcast. I'm grateful that you were able to accommodate my time today. And thank you again for
02:01:13.080 the work you're doing. And I'm very excited to follow this story as will the other listeners
02:01:17.500 today. We'll have data on Alzheimer in the summer. Really thrilled to understand what's happening in
02:01:23.800 the brain. Yeah. Fantastic. Okay. Thank you so much, John. Have a great evening.
02:01:27.280 Have a great weekend, Peter. Thank you for listening to this week's episode of The Drive.
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