The Peter Attia Drive - June 03, 2024


#304 – NEW: Introducing quarterly podcast summaries - Peter shares his biggest takeaways on muscle protein synthesis, VO2 max, toe strength, gut health, and more


Episode Stats

Length

30 minutes

Words per Minute

172.2072

Word Count

5,308

Sentence Count

281

Misogynist Sentences

1

Hate Speech Sentences

1


Summary

In this episode, Dr. Peter Atiyah takes a look back at the last quarter's episodes of the Ask Me Anything (AMA) podcast, and shares what he's learned from each of them. In addition, he makes a case for why you should go back and listen to those episodes if you haven't already listened to them.


Transcript

00:00:00.000 Hey everyone, welcome to a sneak peek, ask me anything or AMA episode of the drive podcast.
00:00:15.820 I'm your host, Peter Atiyah. At the end of this short episode, I'll explain how you can access
00:00:20.280 the AMA episodes in full, along with a ton of other membership benefits we've created,
00:00:24.900 or you can learn more now by going to peteratiyahmd.com forward slash subscribe. So without
00:00:31.260 further delay, here's today's sneak peek of the ask me anything episode.
00:00:38.900 Welcome to a special AMA episode of the drive. We know that at times our interviews can be quite
00:00:44.980 technical. And one of the most common requests we hear is that listeners would love to hear
00:00:49.900 summaries of episodes we've done. As such, we are testing out a new style of AMA for this episode.
00:00:57.860 Before I get to it, I want to sort of explain to you how I interact with my podcast. As you all know,
00:01:05.100 I'm sure we have an amazing team of analysts who helped me prepare for each and every episode of
00:01:11.480 the drive. So I'm typically going into an interview with anywhere from 10 to 20 pages of single spaced
00:01:18.760 notes that have me very familiar with the topic of discussion and lay the groundwork for where
00:01:26.040 we're going to go. During the interviews, of course, you might not be able to see this because
00:01:30.660 hopefully the camera is on the guest and not me. I am typically feverishly taking notes because I'm
00:01:36.620 learning as the podcast is going. At the end of every podcast, I typically take the most important
00:01:43.580 things that I have learned and I transcribe them onto five by eight inch cards. Any podcast might
00:01:50.360 have somewhere from one to three or four of these cards filled out. And you can imagine someone doing
00:01:55.880 this back in the way that you would make a crib sheet in college, very small writing, but nothing
00:02:01.080 that's on there is wasted. And sometimes there's diagrams, tables, et cetera. Well, it kind of occurred
00:02:07.780 to us that people might want to see what my takeaways are from a podcast. And so in this episode,
00:02:16.600 what we're going to do is look back at the last quarter's podcasts, and I'm going to share my notes
00:02:23.900 from the podcast. In other words, I'm going to share what I learned personally and what I think were the
00:02:29.700 most important insights. In addition to that, I'm going to comment where applicable if any of these
00:02:36.340 learnings have led to a behavior change in me and or with my patients. In this particular summary AMA,
00:02:43.660 we cover the following podcasts, Luke Van Loon, Courtney Conley, Olav Alexander Boo, Alex Arovinas,
00:02:51.280 Colleen Cutcliffe, and Mark Rosekind. And through these episodes, we speak about topics such as protein,
00:02:58.520 building muscle, VO2 max, the importance of toe strength and lower leg strength, liquid biopsies in
00:03:04.500 cancer, the gut microbiome and probiotics, and how to mitigate the risks of automotive deaths.
00:03:10.700 I want to be clear. I don't think that this podcast is even remotely a substitute for having
00:03:16.440 listened to those podcasts. In fact, if you were only listening to this, having not listened to that,
00:03:21.660 the information that I spit out will be kind of jarring and might lack some context. So my real hope
00:03:27.180 is that this is viewed as an adjunct to being able to listen to the podcast. Furthermore, it might serve
00:03:33.360 as a reason to go back and listen to a podcast, especially if you haven't listened to it and what
00:03:37.360 I talk about piques your interest. As this is a new episode style for us, if you like it and if you
00:03:43.140 find value in this conversation, please let us know because I think we'd continue it. Obviously, if
00:03:49.440 people don't find this interesting, there's no need for us to do it and we could go back to regular
00:03:53.160 AMAs. But our intuition is that if this is indeed valuable, a once quarterly summary might be of
00:04:00.260 value to you as well. If you're a subscriber and you want to watch the full video of this podcast,
00:04:05.640 you can find it on the show notes page. And if you're not a subscriber, you can watch the sneak
00:04:10.580 peek of the video on our YouTube page. So without further delay, I hope you enjoy this special episode
00:04:17.640 summary AMA of the drive. Peter, welcome to a special AMA. How are you doing? Very well. Thank you.
00:04:30.140 Before we get started, there's a question I've been forgetting to ask you, but now that the McLaren
00:04:35.400 Senna Lego is officially available, how many have you put together? I'm actually really embarrassed to answer
00:04:43.660 that question. I have not put any together, but I have bought four. So I don't know which of those statements
00:04:48.840 is more ridiculous. You're building the fleet when the time comes. Exactly. I'm creating a generational
00:04:57.300 supply of McLaren MP44 Legos. And of course, I'll build a few along the way. But the goal is like to have
00:05:05.800 one to build with every child, every grandchild, every random kid that comes to my door when I'm 80 trick-or-treating.
00:05:13.040 Hey, you want to come in and build an MP44 with me? Like a creepy old man.
00:05:17.740 I love it. He had such a specific request for the trick-or-treaters.
00:05:23.360 I don't have any candy for you, but let me tell you what I got.
00:05:26.700 But I got some Legos. You can also build them with the police who then show up about 30 minutes later.
00:05:31.820 So just keep an extra few in the back. Yeah. I'm just accumulating.
00:05:36.040 I love it. So for today's AMA, we're going to do something a little different.
00:05:39.760 And it kind of stems from one of the things we hear a lot is we know sometimes our episodes can
00:05:45.260 be technical. And with that, people love to kind of understand not only like summaries of the
00:05:52.360 episodes, but also what you take away from them. And so with that said, do you kind of want to walk
00:05:57.840 people through how this style came about and how we're thinking about it?
00:06:02.900 Yes. So I appreciate the fact that our podcasts are long and obviously quite deep and that's by
00:06:09.120 design. And I personally don't even have time to go back and listen to most of them, which is a bit
00:06:14.320 of a shame because despite what people might assume, I'm not capable of assimilating everything
00:06:20.240 that comes out of a podcast. So, you know, in the past year or so being cognizant of that,
00:06:25.460 I have got into a habit, which is during the podcast itself, I am feverishly taking notes when
00:06:33.880 the guest is speaking. Luckily, I'm able to do this off camera. So you generally don't see
00:06:38.380 that I'm doing that, but that seems to me the best time for me to get the insight out of the episode.
00:06:45.700 What I then do is immediately following the podcast, almost always on that day,
00:06:52.000 maybe letting it go one more day, but usually on that day, I take out these five by eight cards I
00:06:58.240 have, and I then re-synthesize everything from my prep and the notes that I took during the podcast
00:07:06.240 onto five by eight cards. And here the goal is to really minimize the cards because I want the cards
00:07:11.960 to be the highest yield thing imaginable that six months or six years from now, I would go back to,
00:07:18.500 and that captures the salient essence of what I learned. And in particular, it's always with an
00:07:24.520 eye towards something that I didn't know before or something that maybe I knew, but didn't realize
00:07:29.180 how important it was. And obviously I'm always looking for something that's going to change my
00:07:33.200 mind or change my practice. Okay. So fast forward to a month ago, we were sitting around with the
00:07:40.260 podcast team and I don't know, I almost just mentioned in passing that I did this and I think
00:07:46.680 you guys decided, well, can you read a couple of your cards to us? I remember we sat there on a
00:07:52.100 call and I just rattled off a bunch of cards and I think your eyes kind of opened up like saucers and
00:07:58.080 you thought, why would we not share this with people? This is valuable. So I think that's what
00:08:03.100 got us here. Yeah. And I think for the listener viewer, how we're going to kind of break it up is we'll
00:08:08.880 look at some recent episodes we've done and kind of look at it from two realms. One of what you
00:08:15.640 think are the most important takeaways, insights, your biggest learnings. And then the second is if
00:08:20.440 you've changed your mind, change your behavior, how you work with yourself, work with your patients,
00:08:25.760 anything of that nature as well. And so we'll kind of hit those two prongs for each.
00:08:30.220 The last thing I'll say is I think we're excited about this type of episode because we thought it was
00:08:35.260 really interesting during our conversation, but for listeners and viewers, if you like it or don't
00:08:39.640 like it, let us know because it's one of those we can always continue to do in the future because
00:08:44.060 we clearly have no shortage of episodes coming up. I would like to reiterate that point. I mean,
00:08:50.100 it's a bit of work to put this together. It seems to me that it's worthwhile. So if folks like this,
00:08:55.760 they should let us know because I could easily see doing this quarterly. And if folks think this
00:09:00.900 is not valuable enough, then I'll keep my notes to myself and I'll still be doing it because it's
00:09:05.160 valuable to me. Yeah. You can put the notes by the McLaren Legos you haven't built yet.
00:09:12.360 Perfect. So the first episode we're going to hit was just an awesome episode with a great guy,
00:09:17.780 Luke Von Loon. So do you want to walk through, I mean, that was an action packed episode on a topic
00:09:23.340 protein, which I know you're very passionate about. We've talked a lot about, but I think some of the
00:09:28.020 insights that came from there were very interesting. And so I think let's just start with Luke's episode
00:09:32.840 and kind of go through what were some of the biggest insights, takeaways, learnings that you
00:09:38.380 had from that conversation. Yeah. Again, please don't confuse what I'm about to say with any sort of
00:09:44.760 substitute for listening to the episode. In fact, if you haven't listened to the episode, it will feel
00:09:49.860 very out of context and maybe even jarring for me to just give you my bullet points. I will preface
00:09:55.280 that by saying one thing with respect to Luke's episode, which is this wasn't the first or even
00:10:00.820 the second or even the third episode we did where we focused very heavily on protein. And yet, despite
00:10:08.160 that, the richness of this episode surprised me. So with that said, we talked a lot about something
00:10:16.860 called the fat athletes paradox. And by fat, I mean fat slash athletes paradox. So there's this idea
00:10:22.700 that when you look at the muscle of an athlete and you look at the muscle of someone with type 2
00:10:28.500 diabetes, so you're looking at two opposite ends of the metabolic spectrum, you're going to see large
00:10:34.360 stores of intramyacellular lipids. You're going to see large stores of lipid within the muscle.
00:10:40.080 I remember hearing this before, but I think what came into focus for me was the idea that this is one
00:10:47.740 of the limitations of static information. Because in the case of the person with type 2 diabetes,
00:10:54.880 that intramyacellular lipid store is indeed just that. It is a depot. It is a place where excess
00:11:02.600 energy is seeping out of adipose tissue and remaining stored in the muscle. And in fact, as we saw in our
00:11:10.640 podcast a couple of years ago with Gerald Schumann, that's one of the hallmarks of the cascade of events
00:11:17.580 that leads to insulin resistance. So the question is, why aren't athletes not insulin resistant?
00:11:22.600 They're the exact opposite of that. And it comes down to the fact that for athletes, that is less
00:11:27.840 a storage depot and more a state of flux. So for the athlete, the intramyacellular lipid is indeed
00:11:37.300 a fuel source and it's being turned over rapidly. So that's the key takeaway there that's really big.
00:11:44.160 Just because you have triglyceride in the muscle on a biopsy, if you biopsy the muscle of an athlete
00:11:50.600 and of the diabetic, you're going to see high amounts, much higher amounts of fat than you would
00:11:56.640 see in a non-elite athlete, non-diabetic. But it's important to understand one is a constant flux
00:12:03.120 that's being used to prime the pump. And the other is obviously a pathologic finding. That's the other
00:12:09.500 point there as well, which is that the reason the athlete has that storage of fat so readily available
00:12:15.520 is that it's an immediate access at that low end aerobic fuel point. So if you, again, think about
00:12:21.980 zone two, we talk about that a lot. The idea is the minute you jump into that energy system,
00:12:27.660 you want to make sure that you're burning lipid and not burning glucose.
00:12:31.780 So moving on from fat and that athlete's paradox, the next thing I made note of here was the idea
00:12:39.100 that amino acids are signaling molecules in and of themselves. Now this is relevant because it speaks
00:12:48.000 to the fact that the ingestion of protein by itself stimulates muscle protein synthesis, even in the
00:12:55.800 absence of activity. So how does this work and why is this relevant? So the amino acid signals mTOR,
00:13:01.360 we understand that. Of course, mTOR is the master nutrient sensing molecule. And the activation of
00:13:07.740 mTOR signals muscle protein synthesis, even in the absence of activity. Now, when you combine protein
00:13:14.680 intake with exercise, you're going to get more muscle protein synthesis. But what I remember,
00:13:19.780 and I made note here is Luke made this analogy of it's like the bricks calling the brick layers.
00:13:25.380 I thought that was very clever. Another point, and this was actually brought up by Lane in one of our
00:13:30.300 first podcasts where Lane talked about sort of the isotope labeling of amino acids to understand
00:13:36.280 the flux of amino acids, talked about how there are about 300 grams of amino acids being utilized per
00:13:42.780 day. And most of this is actually recycled endogenous amino acids. So what do I mean by that? So if
00:13:51.000 300 grams of amino acids each day are being utilized, you're not eating 300 grams per day. So what's
00:14:00.540 happening? You might be eating 150 grams per day. So that's the exogenous input. The muscle itself
00:14:06.900 is turning over and part of what's being turned over is being reincorporated. So that much I knew,
00:14:13.420 I don't think I knew that it was 300 grams or if I did, I'd forgotten. But this is what was really wild
00:14:17.960 to me, was that it takes somewhere between 50 and a hundred days for the complete turnover of a muscle.
00:14:25.820 In other words, if I look at a muscle on my body today, I look down at my bicep. It's a little bit
00:14:32.020 interesting to think that a hundred days ago, it was made up of completely different amino acids.
00:14:40.440 So in other words, in two to three months, you are completely turning over every muscle in your body.
00:14:47.200 Luke mentioned later in the podcast that that turnover is even more rapid in the brain
00:14:52.180 to the tune of about 30 days. Try to let that sit with you in your brain that 30 days ago, a month
00:14:59.960 ago, the actual structure, the proteins that make up your brain were a totally different set of amino
00:15:06.340 acids. We talked a little bit about the difference between bodybuilders and endurance athletes. So
00:15:12.180 bodybuilders, when they are undergoing muscle protein synthesis, obviously based on the nature
00:15:17.920 of the training stimulus, you're seeing more myofibular protein synthesis in the type two
00:15:23.740 fibers. Whereas endurance athletes, obviously based on the nature of their training stimulus,
00:15:29.640 you're seeing an increase in two things, mitochondrial protein synthesis and capillary density. Again,
00:15:35.940 this is occurring in the type one fiber. So I'll restate that. Bodybuilders are getting bigger
00:15:41.320 muscles, more contractile force, myofibular protein synthesis. This is occurring in the type two fiber.
00:15:47.060 The athlete is increasing mitochondrial protein synthesis and capillary density in the type one
00:15:52.740 fibers. An editorial comment on top of that, we want both of those things to occur. Both of those
00:15:57.900 things should be the desired outcome. And therefore that's why we want both types of training.
00:16:02.660 Another very interesting discussion we had was on the idea of what drives muscle protein synthesis.
00:16:12.360 So he listed four things. And I think this is a very helpful guide as you start to think about
00:16:17.640 protein choices you're making. So the first is what is the digestibility of the protein? So here we make
00:16:24.180 a big contrast between plant protein and animal protein. This is where animal protein has an enormous
00:16:30.040 advantage over plant protein and that it is far more digestible. Now, there are things that you can do
00:16:35.840 about that. We've talked about this, right? So if you want to eat or get the majority of your protein from
00:16:40.560 plants, that's fine, but you will need to accommodate that by, for example, cooking it, making sure it's cooked
00:16:45.960 and or eating sources that have higher amounts of certain amino acids, which we'll get to in a second.
00:16:52.100 The second is the rate of digestion. So not just the digestibility, but now what's the rate of digestion?
00:16:58.380 So here, let's take perhaps the most potent type of protein, which would be, say, beef protein or
00:17:04.880 something like that. There's a significant difference between ground beef and steak. So the rate of
00:17:10.480 digestibility is obviously greater for ground beef than steak. Similarly, whey versus casein. They're both
00:17:17.200 milk proteins, but whey has a much higher rate of digestibility than casein. Again, here's where you'd
00:17:24.400 see cooked versus raw. Amino acid composition is now the third factor here. So an example would be
00:17:30.760 collagen versus whey. Whey has a much higher quality amino acid composition than collagen. Collagen tends
00:17:38.540 to be rich in a handful of amino acids. If my memory serves me correctly, I think it's glycine and
00:17:44.860 proline. And whey, of course, has a more distributed wealth of amino acids. And then, of course, the fourth
00:17:51.600 and final component here is what's the total amount of protein that's being consumed. The more protein
00:17:56.440 that's being consumed, the more muscle protein synthesis. Quick primer on the milk proteins. We
00:18:00.940 did talk about this, right? So milk protein is about 80% casein and 20% whey. So whey, much more rapid
00:18:07.980 casein, much slower digestion profile. Both are valuable. We spoke about this. There was a study that
00:18:16.320 Luke was a part of, I think we've written a newsletter on it, talking about how much, much
00:18:21.220 larger doses of protein could contribute to muscle protein synthesis in a study that was using casein
00:18:27.000 because of this long lag in which it was dragged out. He mentioned that plant protein is specifically
00:18:33.100 low in lysine and methionine. And so if you're going to eat plant protein, you're going to have to
00:18:37.780 probably look for ways to supplement those if you want to maximize muscle protein synthesis.
00:18:42.500 Okay. We have more notes from this podcast. This is a bit longer than normal, truthfully,
00:18:47.860 but again, there was so much here. A very powerful image in my mind from this podcast was the idea
00:18:54.020 that when you look at the graphs that describe loss of muscle in the elderly, everybody's familiar
00:19:00.740 with what these graphs look like, which is they start out here and they drop down here. And for those
00:19:06.260 listening to me, it's kind of like a smooth curve that drops like a stone. Usually once people
00:19:12.160 are in the eighth decade of life in their mid seventies. And he made such a fantastic point,
00:19:18.520 which is if you look at this at the population level, which is always how the data are presented,
00:19:23.080 it appears to be a physiologic phenomenon. What does he mean by that? A physiologic phenomenon is
00:19:29.620 an inevitability. It's physiologic. You're going to lose muscle as you age and it occurs on this nice,
00:19:36.360 beautiful, smooth curve. And he said, but if you actually look at it at the individual level,
00:19:40.760 that's not at all what it looks like. It's actually a graded step function. So again,
00:19:46.460 if you're watching me, this is easier to see it's here's your muscle mass and then boom,
00:19:50.720 a big drop. And then you stay there for a little while and then boom, a big drop and away you go
00:19:55.660 and away you go. And he said, what it really comes down to the individual level is a series of discrete
00:20:01.360 periods of inactivity that result in sudden, relatively speaking, meaning over a period of months
00:20:08.400 or weeks, big drops in muscle mass that are never recovered. And I'll tell you, it's been a while
00:20:14.160 since that episode. I think about that every minute of every day and I'm only in my fifties
00:20:20.800 and I keep thinking, what do I need to do to make sure I don't experience one of these two week or
00:20:28.080 two month episodes that's going to result in an irreversible loss of muscle mass. And again,
00:20:34.180 really comes down to how do you not get injured? And even if you don't have an injury, how do you
00:20:40.020 make sure you're staying active? Well, this gets to another important thing we discussed, which is
00:20:44.380 the idea of anabolic resistance. Again, this has come up over and over on various podcasts that I've
00:20:51.020 done on this topic. And basically we talked about the two drivers of this, which are aging and
00:20:58.060 inactivity. So it's crystal clear that inactivity and age drive this. So the question is, is it one
00:21:06.920 or the other? Is one simply a proxy for the other, et cetera? He offered great ideas for why maybe both
00:21:13.480 of these things play a role. So let's start with inactivity. This is the easier one to test because
00:21:18.060 you can actually do an experiment. So you could take young people who ordinarily would not experience
00:21:22.620 anabolic resistance and you can render them inactive. And there's very elegant experiments
00:21:27.400 done where you take young people and you put one leg in a cast for a period of time. And the
00:21:33.040 experiment he talked about was one week. So this is beautiful because each person is their own
00:21:37.600 control. So young person, one leg in a cast, one leg not. And just in one week, there was a 35%
00:21:45.860 difference between the active and inactive leg in a young person with respect to muscle protein
00:21:52.200 synthesis and therefore anabolic resistance. So again, that very compellingly says inactivity
00:21:58.200 plays a huge role, but that doesn't mean that aging inherently doesn't also account for some
00:22:04.500 of this. And there are lots of hypotheses that he put forward. Is there a decrease in amino
00:22:08.940 acid uptake, a decrease in gut absorption, a decrease in the circulation of amino acids, something
00:22:15.480 called splanchnic sequestration going up. So basically losing amino acids to the splanchnic
00:22:22.660 system in the GI tract, reduction of perfusion. Of course, that's true elsewhere in the body. So
00:22:27.720 maybe it's true here and lower muscle uptake. Finally, lower mTOR signaling. It certainly is listed
00:22:34.220 as one of the hallmarks of aging that nutrient sensing goes down. Boy, I've got even one more set
00:22:40.260 of notes here, but I'm going to just go for it because I think it is pretty important. I made a table
00:22:44.840 while we were talking about the difference between myofibrillar muscle protein synthesis and muscle
00:22:52.560 contractile tissue protein synthesis in response to the following stimuli. Exercise, dairy protein,
00:23:00.900 so whey and casein, and collagen protein, which again, you may recall a second ago, I said, look,
00:23:06.160 collagen protein is not a complete protein. It's mostly just got a couple of amino acids in it.
00:23:12.120 And when you look at exercise, you see that it gives a huge increase in both myofibrillar
00:23:20.500 muscle protein synthesis and muscle contractile tissue. When you look at dairy protein, you get a
00:23:27.300 big increase in myofibrillar, but not in contractile. And I think that's not surprising.
00:23:33.360 And when you look at collagen protein, it's relatively small on both. So what this highlighted for me and
00:23:38.980 the reason I made these notes was total protein quality plays a big role in myofibrillar protein
00:23:46.360 synthesis and exercise plays the biggest role in generating contractile tissue protein synthesis.
00:23:53.060 So at the risk of maybe doing a bit more, but I apologize, I probably took more notes on that
00:23:58.640 podcast than most others. Those were the salient points that I took away from the podcast with Luke.
00:24:04.980 You hinted at a few things there in terms of like behavior changes or what you're thinking about.
00:24:10.800 One of which is just consistently thinking about the importance of always training and not taking
00:24:16.740 time off, whether that's by choice, meaning you're going on a trip or life gets in the way and you
00:24:22.180 decide not to train or by not choice, which is like an injury and you're not able to train. So
00:24:27.120 if you think about any behavior changes that you've made in either your training protein consumption,
00:24:33.660 how you look at that throughout the day since that episode, what's jumped out to you?
00:24:39.040 Yeah, a few things you've already mentioned a couple. Another one is for really long endurance
00:24:44.400 activity, which I still do some of maintaining dietary fat matters in that pathway that we talked
00:24:51.200 about at the outset where you want to maintain intramyocellular lipids. So again, not an issue for me
00:24:57.760 personally, because I've never ever been a fat, a low fat diet guy, but it's worth keeping in mind
00:25:04.440 for athletes out there who tend to be lower on their fat consumption. You are depriving yourself
00:25:10.340 of a pump prime. Obviously we talked a lot about the need for activity. I guess the two other things
00:25:16.520 I'd say before we leave this are, I have been using time restricted feeding a little bit more lately
00:25:23.160 in myself, but I'm always making sure to get protein while I'm in that non-feeding window.
00:25:30.340 Because again, I don't believe there's like a particular magic to not eating for 18 hours a day.
00:25:35.740 It's just a tool to calorically restrict. And so I don't care if I get another couple hundred
00:25:41.500 calories of protein during that window. I guess the final point here was really for my wife who is
00:25:47.840 really adamant about her collagen protein drink in the morning. And I think I feel a little more
00:25:52.440 comfortable telling her, Hey, there's nothing wrong with drinking your collagen protein.
00:25:56.100 And if you happen to really love that formulation or whatever, knock yourself out,
00:26:00.540 but it's also not a very complete protein. So maybe at a minimum supplemented with something else,
00:26:05.260 but clearly consuming a collagen protein is not a superior protein. I think that is definitively true.
00:26:13.000 One last piece on Luke before we move on is there was one quote he said, which I thought was just
00:26:18.700 really, really good and succinct and I'll read it. And then it's, you know, we can talk about it,
00:26:23.140 which is he said, I've had a lot of people in my life asking me how important is it, whether I take
00:26:27.680 my protein shake before or after the training session, but I never had someone come up to me
00:26:32.220 and say, look, how important is it if I skip one training session or miss one training session?
00:26:37.720 Consistent training is the benefit, consistent training so that every meal is a greater impact
00:26:42.420 on your muscle protein synthesis. And I thought that was really good because we see a lot of
00:26:47.360 questions come through and sometimes people may overthink potentially protein and when to take it
00:26:52.500 and when not to, but for him to say, whether you consume before or after the biggest thing is just
00:26:59.000 always be training, always be consistent and never take time off. I thought was a really good point for
00:27:04.980 people to kind of remember. Yep. Yep. All right. Let's move on to the podcast with Courtney Conley.
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