The Peter Attia Drive - August 19, 2019


#67 - AMA #8: DNA tests, longevity genes, metformin, fasting markers, salt, inflammation, and more


Episode Stats

Length

17 minutes

Words per Minute

182.69427

Word Count

3,286

Sentence Count

173


Summary

In this episode, my analyst, Bob Kaplan, joins me to talk about my thoughts on DNA sequencing and aging. We talk about the benefits of DNA sequencing, inflammation, and inflammatory markers, and how they impact our ability to live longer.


Transcript

00:00:00.000 Hey everyone, welcome to the Peter Atiyah Drive. I'm your host, Peter Atiyah.
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00:04:10.100 Welcome to AMA number eight, featuring once again, my head analyst, Bob Kaplan. In this episode,
00:04:17.860 we talk about my thoughts on DNA and genetic kits, genes that can drive longevity, top guests that I'm
00:04:25.360 hoping to have on future episodes of The Drive, inflammation and inflammatory markers, NMR lipoprofile
00:04:32.360 versus other tests for advanced cardiac measurements. In addition to a conversation around
00:04:37.860 the recently emerging use of electrophoresis, we talk about taking metformin for longevity,
00:04:44.320 as well as a little side conversation around berberine. We talk about what drugs I think are
00:04:49.280 the most exciting drugs on the planet today. We have a little conversation around salt,
00:04:54.200 and we talk about markers and metrics that surprised me during my most recent nothing burger.
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00:05:53.680 So without further delay, please enjoy AMA number eight.
00:06:01.520 Hi and hello, podcasters. Bob Kaplan here. Peter Atiyah over there. Let's light this candle.
00:06:09.140 Sorry for slurping there, Mike.
00:06:13.200 He's a little hot. Here we go. Are DNA kits useful in providing actionable info and any thoughts and
00:06:19.740 information on using genetic testing to guide nutrition and exercise? I assume they're talking
00:06:24.440 about like 23andMe, that type of SNP testing. I mean, I think we need to put this in a broader
00:06:29.920 context, which is exactly 20 years ago, we were on the cusp of, and by we, I don't mean me. I
00:06:37.000 specifically exclude myself from being a part of that.
00:06:39.700 You and Watson and Vendor.
00:06:41.960 Yeah, exactly. We were on the cusp of what was hailed as perhaps the biggest revolution in all
00:06:47.380 of medicine. It's one thing to certainly understand the structure of what DNA meant and how to
00:06:52.540 understand the coding language and how DNA becomes a template to make RNA as the template to make
00:06:58.080 protein. But 20 years ago, sitting there on the cusp of actually decoding the human genome, and we now
00:07:03.440 know that there are, it depends. I mean, I used to typically nominally say 20,000 genes in the human
00:07:09.460 genome. I think some would actually revise that upward and say maybe even closer to 30 now,
00:07:13.540 but relatively finite number of genes. And it turns out that hasn't panned out. This notion that
00:07:20.080 knowing the genome was going to change everything, it hasn't panned out. It hasn't panned out for several
00:07:26.580 reasons. So first of all, most things that we concern ourselves with are either wildly polygenic
00:07:36.620 or the only way you get the thing, either good or bad, is when the environment, for lack of a better
00:07:45.180 word, turns on the gene. And so if we talk for a moment about the pathology side of things and use
00:07:51.300 cancer as an example, this seemed to be the most interesting place where we would think that the
00:07:56.740 genetic revolution would help and that by knowing your genes, you might know your susceptibility to
00:08:02.720 a type of cancer. So I think the first thing we want to talk about here is the difference between
00:08:07.060 somatic mutations and germline mutations. So the germline is the gene that you inherit. So when you
00:08:16.360 do a test like a 23andMe, I think for the purpose of not getting too far in the weeds on this, this is
00:08:22.680 actually worth a dedicated podcast. So maybe we can make note of that and just do a dedicated podcast
00:08:26.980 on genetic testing because it is such an important topic. I'm not going to get into the difference
00:08:32.240 between what a 23andMe is doing versus what a whole genome sequence is doing as far as the
00:08:39.780 accuracy of it. So notwithstanding the huge inaccuracies that show up when you do these short
00:08:46.000 kit SNP tests, what you're doing is looking at the template you inherited, hence germline. Now,
00:08:55.000 there are some cancers that are driven by germline mutations. In other words, there are a subset of
00:09:01.660 cancers where just knowing you inherited a certain gene dramatically increases your risk of that
00:09:08.000 cancer. So the BRCA mutation would be an example of that. Lynch syndrome, which is an acquired
00:09:14.500 genetic syndrome, would be an example of that, where all of a sudden you have one of these mutations and
00:09:20.980 the probability that you're going to get cancer is very high. In the case of Lynch syndrome, it's
00:09:25.640 virtually guaranteed you're going to get cancer. In the case of BRCA, it's not quite as high,
00:09:29.780 but depending on which variant of it, it can be still quite high, probably approaches 80%
00:09:34.660 with at least one variant. Would knowing that information be helpful? Oh my God, of course it
00:09:39.200 would be helpful. As a general rule, unless you are adopted, you generally know that without a genetic
00:09:46.100 test. That's how penetrant these things tend to be. So in other words, it's very unlikely that you show
00:09:53.280 up and you're in your thirties or your twenties and you know your ancestry. So you know who your parents
00:09:58.340 are and you know who your grandparents are and aunts and uncles, you're going to get a surprise
00:10:02.960 on a genetic test by showing up with one of those syndromes. So the first thing I put on the back of
00:10:07.000 my mind is patients who are adopted probably benefit from this. And I have a friend who was adopted
00:10:12.720 and who got Lynch syndrome. And that was a real surprise to all of us because why was a guy in his
00:10:18.880 early forties getting colon cancer? And especially the way he got colon cancer was very atypical
00:10:23.820 in terms of the actual clinical presentation of the disease. And of course, because he was adopted,
00:10:28.620 we don't know that clearly one of his parents also would have gone through this. But the probability
00:10:33.200 that say you are listening to this and that you have this, it's very low. This is kind of a long
00:10:36.820 winded way of saying that probably north of 95% of cancers are not germline mutations. They are
00:10:44.040 somatic mutations. They are mutations that are acquired after you've received all of your genetic
00:10:49.820 material. And I think we've known that for quite some time. We didn't need sort of the coding of
00:10:55.020 the human genome to figure that out. But the problem is the current type of genetic tests that
00:10:59.480 I think this question is asking about don't measure those mutations. You can't find those mutations
00:11:05.200 in the DNA of the base cell. You have to look for those cells like a needle in a haystack. You're
00:11:11.500 looking for those cells usually in the blood. And the good news is there are companies and technologies
00:11:16.740 that are looking at these things. This belongs into a subheading of things called liquid biopsies
00:11:21.280 where you could do a blood test. And in theory, you could find that needle in a haystack. You
00:11:26.180 could find that cancer cell. You could say, well, wow, this is a colon cell and it has an acquired
00:11:32.720 mutation. And that mutation is giving it the capability to escape the colon and take up residence
00:11:39.780 somewhere else. So I think from the standpoint of cancer, I don't think there's a lot of value.
00:11:44.280 From the standpoint of cardiovascular disease, I would also say very little value. The most
00:11:50.360 important genetic test that you would look at from a heart disease standpoint would be
00:11:54.820 LP little a, which we've spoken about at length. So if you have the LPA gene, which honestly
00:12:00.580 somewhere between about eight and 12% of the population does, maybe even higher, that's
00:12:05.320 important to know. But guess what? You don't need genetic tests to do that. You can just measure
00:12:08.840 the phenotype, meaning you don't need to know if you have the LPA gene, you can actually
00:12:12.240 measure LP little a. It's even easier to measure. So again, that sort of alleviates somewhat the
00:12:18.040 need of knowing that. Now, whenever someone gets one of these tests, it tends to spit out
00:12:22.540 a lot of information. Like you're at increased risk of heart disease. You're at increased
00:12:25.680 risk of diabetes. I think this is an area where I probably differ from a lot of the current crop
00:12:30.480 of people who love precision medicine. And I don't find that information very helpful.
00:12:34.520 I think that if you go deep enough on the phenotypic side, you will get that information
00:12:40.060 and you will get it in an even better way. And you will have a metric with which to track
00:12:45.020 as you try to reverse the process. So taking diabetes for an example, does it help me to
00:12:50.880 know that someone has a genetic predisposition to type two diabetes? Not nearly as much as it
00:12:55.960 helps me to know while they are still non-diabetic, that they have hyperinsulinemia. And even if they
00:13:02.200 don't have it while fasting, to know that they have postprandial hyperinsulinemia, it's very
00:13:07.320 important. To look at other subtle markers of insulin resistance, the elevation of ferritin,
00:13:14.280 some of the other things that we see, other patterns of glucose disposal, these things
00:13:18.700 matter a lot more. Frankly, just wearing a CGM and knowing over the course of months how
00:13:23.980 your glycemic response is, that is orders of magnitude more insightful and perhaps more
00:13:30.340 importantly, more actionable. So I think the one place where I do think that the genetic information
00:13:35.220 can be somewhat helpful is with Alzheimer's disease. I do think that knowing your ApoE status
00:13:39.580 is quite an empowering thing. I think truthfully, I don't think it should change that much of what
00:13:45.540 we do. In other words, even if you have an ApoE3 or an ApoE2, it should be a much lower risk gene.
00:13:52.820 I wouldn't let that information in any way, shape, or form detract me from taking an all-hands-on-deck
00:13:58.700 approach to avoiding dementia. As Richard Isaacson said when we had him on the podcast,
00:14:03.540 if you have a brain, you're at risk of Alzheimer's disease. And so even though 25% of the population
00:14:10.360 has ApoE4 positive gene, meaning they're either one or two copies of ApoE, and most of those 25%
00:14:16.720 are single copy, they make up about two-thirds of the case of Alzheimer's diseases. But of course,
00:14:22.720 that means 75% of people who don't have any E4 still make up a third of the cases. So in that sense,
00:14:29.980 E4 is helpful if you need a little extra motivation to work harder. Again, it might be a little helpful
00:14:35.440 if you're thinking about it through the lens of your kids. Should your kids play contact sports?
00:14:39.820 We talked about this before where the susceptibility to head trauma could go up with an ApoE4. So maybe
00:14:45.060 that causes you to think, we'll play tennis instead of soccer. One of the questions was about nutrition,
00:14:50.060 I think, and exercise. And I got to tell you, I am still not convinced that we can extract much
00:14:55.860 value vis-a-vis what we should be eating or how we should be tailoring our exercise from the current
00:15:02.020 genetics. Now, there are probably some tests that are emerging that could be kind of interesting.
00:15:06.940 There are probably certain genes in the PPAR family, for example, that might speak to our ability
00:15:13.940 to metabolize fat, that might speak to whether or not we will do better or do worse on a certain type
00:15:19.860 of diet. But I would counter that by saying, you can empirically determine that so easily that I'm
00:15:26.900 not sure it's adding value. And even if you saw that you had a genetic predisposition to one diet
00:15:34.280 or another, it still doesn't mean that that's going to work. You still have to go through the
00:15:37.820 empirical step. So I think this is a long-winded way of saying, I'm just not over the moon excited
00:15:44.900 about using sort of the current crop of genetic tests. Although we do it and virtually every one
00:15:51.620 of our patients comes in the door with a genetic test, usually it's sort of one of these cheap kind
00:15:57.120 of easy snip tests. Probably 10% of them still show up with the whole sequence. And we do the full
00:16:03.220 analysis and we look at it, but it'll take me a while to remember the last time a piece of information
00:16:08.760 emerged from that that made me change the way we were doing something, which doesn't mean it won't
00:16:13.580 happen. It just means overall the yield is not that high and one should sort of calibrate their
00:16:19.360 expectations for that. Well, along those lines, so another snip question, do you think those snips
00:16:25.560 panels like 23andMe are useful for practice of longevity tactics? And what are the 8 to 12 genes
00:16:31.540 that increase longevity that you always talk about? You can find all of this information and more
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