1 00:00:08,560 --> 00:00:11,039 Speaker 1: Yeah, So mixing it up a little bit, I think 2 00:00:11,240 --> 00:00:15,280 Speaker 1: is really important. Let's die, Let's get back to the 3 00:00:15,360 --> 00:00:20,439 Speaker 1: SGL two inhibitors now. Is interesting to hear you say that. 4 00:00:20,760 --> 00:00:23,599 Speaker 1: I'll give you a little bit of background. So January 5 00:00:23,600 --> 00:00:26,960 Speaker 1: this year, I had open heart surgery for a dodgy 6 00:00:27,040 --> 00:00:28,800 Speaker 1: valve that I was born with. I was born with 7 00:00:28,840 --> 00:00:31,520 Speaker 1: a bi cuspan aortic valve. But it's all good. But 8 00:00:31,560 --> 00:00:36,520 Speaker 1: the upshot of this is the one drug that they've 9 00:00:36,520 --> 00:00:41,159 Speaker 1: put me on is an SGL two inhibitor. And actually, 10 00:00:41,159 --> 00:00:43,240 Speaker 1: when I dug into it, I went, you know what, 11 00:00:43,760 --> 00:00:46,640 Speaker 1: that's a drug. I'm not basically a big fan of 12 00:00:46,680 --> 00:00:49,960 Speaker 1: taking drugs, but I'm like, I'm actually happy that they 13 00:00:50,000 --> 00:00:53,280 Speaker 1: put me on an SGL two inhibitor. It's essentially a 14 00:00:53,400 --> 00:00:56,960 Speaker 1: diabetes drug or our drug for managing your blood sugar 15 00:00:57,040 --> 00:01:01,720 Speaker 1: slice insulin, but it also has benefits for heart and 16 00:01:01,800 --> 00:01:05,080 Speaker 1: so I'm actually pretty happy to be on an SGL 17 00:01:05,200 --> 00:01:11,600 Speaker 1: to inhibitor. That's a nice unintended consequence of my being 18 00:01:11,640 --> 00:01:15,040 Speaker 1: born with the doachi for help, So tell our listeners 19 00:01:15,959 --> 00:01:19,480 Speaker 1: what and because actually, out of the interventional's testing program, 20 00:01:19,600 --> 00:01:23,360 Speaker 1: a lot of them, the drugs that were successful controlled 21 00:01:23,360 --> 00:01:28,080 Speaker 1: inchilin our and or glucose, which is an interesting thread, right, 22 00:01:29,040 --> 00:01:33,440 Speaker 1: But one of them, and canaga flows in and is 23 00:01:33,800 --> 00:01:37,480 Speaker 1: an sgl TO inhibitor. So talk to our listeners about 24 00:01:38,319 --> 00:01:42,360 Speaker 1: what an sgl TO inhibitor is and why you think 25 00:01:42,480 --> 00:01:46,920 Speaker 1: it's interesting from a longevity slice health span perspective. 26 00:01:47,080 --> 00:01:50,600 Speaker 2: Yeah, well, so the reason I'm excited about these is 27 00:01:50,680 --> 00:01:53,520 Speaker 2: just the abundance of data that we have suggesting that 28 00:01:53,560 --> 00:01:56,200 Speaker 2: they can be beneficial. And it's We've talked about the 29 00:01:56,240 --> 00:01:59,720 Speaker 2: issues with mouse studies. They do extend lifespan in my 30 00:02:00,080 --> 00:02:03,480 Speaker 2: least in mail lice, yes, but you know that's just 31 00:02:03,520 --> 00:02:06,040 Speaker 2: the beginning of the data. We have tons of data 32 00:02:06,080 --> 00:02:09,360 Speaker 2: for many, many thousands of patients taking these drugs in 33 00:02:09,400 --> 00:02:13,720 Speaker 2: the real world showing that it generates positive health outcomes 34 00:02:13,720 --> 00:02:17,840 Speaker 2: and reduces the incidents of negative health outcomes. They appear 35 00:02:17,880 --> 00:02:20,400 Speaker 2: to be very protective for the heart, like you mentioned, 36 00:02:20,720 --> 00:02:24,480 Speaker 2: also the kidneys. There's also a lot of data emerging 37 00:02:24,520 --> 00:02:27,919 Speaker 2: to suggest that they're very good for the brain. So 38 00:02:28,280 --> 00:02:30,400 Speaker 2: we have that piece of data saying, you know, patients 39 00:02:30,440 --> 00:02:35,679 Speaker 2: that are on these for diabetes tend to exhibit better 40 00:02:35,680 --> 00:02:39,840 Speaker 2: health outcomes over time, even outcomes unrelated to diabetes. Yes, 41 00:02:39,919 --> 00:02:42,560 Speaker 2: and then there's this other piece that you don't often 42 00:02:42,600 --> 00:02:46,880 Speaker 2: get for a longevity intervention, and this comes from studies, 43 00:02:46,960 --> 00:02:51,359 Speaker 2: these Mendelian randomization studies, which can you take me. 44 00:02:51,720 --> 00:02:54,920 Speaker 1: Take a step back and explain what those are and 45 00:02:55,000 --> 00:02:56,440 Speaker 1: why they're actually useful. 46 00:02:57,560 --> 00:03:01,720 Speaker 2: Yeah, so these are sort of a clever way of 47 00:03:03,040 --> 00:03:06,560 Speaker 2: modeling the impact of different interventions, in this case the 48 00:03:06,639 --> 00:03:09,880 Speaker 2: drug intervection and intervention by looking at sort of a 49 00:03:09,960 --> 00:03:14,200 Speaker 2: natural experiment that genetics have given us. So we all 50 00:03:14,320 --> 00:03:18,960 Speaker 2: have this protein called SGLT two that's the target of 51 00:03:19,080 --> 00:03:22,040 Speaker 2: this drug, right, and it's a channel. It's a channel 52 00:03:22,080 --> 00:03:26,560 Speaker 2: that recovers glucose in your kidney so that you don't 53 00:03:26,560 --> 00:03:28,520 Speaker 2: have glucose in your urine and we're keeping it in 54 00:03:28,560 --> 00:03:31,840 Speaker 2: the body where we need it because glucose is a 55 00:03:31,960 --> 00:03:36,320 Speaker 2: nutrient that we need. It's important for energy production. But 56 00:03:36,800 --> 00:03:40,040 Speaker 2: we have different genetic variants in SGLT two. So you know, 57 00:03:40,160 --> 00:03:43,440 Speaker 2: most of us have a fully functional version, but there 58 00:03:43,440 --> 00:03:48,240 Speaker 2: are rare genetic variants where you have a dysfunctional SGLT 59 00:03:48,400 --> 00:03:53,000 Speaker 2: two protein that doesn't come glucose as efficiently. So that's 60 00:03:53,080 --> 00:03:54,440 Speaker 2: very similar to what the drugs doing. 61 00:03:54,520 --> 00:03:54,760 Speaker 3: Right. 62 00:03:54,840 --> 00:03:57,480 Speaker 2: If the drug inhibits. And then there are some people 63 00:03:57,560 --> 00:03:59,800 Speaker 2: that have just been operating this way their whole lives, 64 00:03:59,840 --> 00:04:03,840 Speaker 2: their SGLT two never worked efficiently. You can look at 65 00:04:03,880 --> 00:04:06,640 Speaker 2: what happens to those people have a pretty good idea 66 00:04:06,680 --> 00:04:09,640 Speaker 2: of what the drug's gonna do. Right, Have I blamed 67 00:04:09,640 --> 00:04:09,840 Speaker 2: this in. 68 00:04:09,840 --> 00:04:11,560 Speaker 3: A way in a minute you have? Yeah, you've explained 69 00:04:11,680 --> 00:04:12,200 Speaker 3: really well. 70 00:04:13,680 --> 00:04:16,599 Speaker 2: So, yeah, that's that's an Ndelian randomization. And when you 71 00:04:16,640 --> 00:04:20,159 Speaker 2: look at it for SGLT two and you look at 72 00:04:20,240 --> 00:04:23,240 Speaker 2: studies sort of modeling the impact of these drugs, you 73 00:04:23,279 --> 00:04:27,440 Speaker 2: see really cool stuff. You see longer life span in 74 00:04:27,480 --> 00:04:31,280 Speaker 2: males just like the ip saw and mail mice. You 75 00:04:31,320 --> 00:04:34,520 Speaker 2: see increased intelligence, which is kind of a surprising one, right, 76 00:04:34,680 --> 00:04:39,719 Speaker 2: like why would having h this dysfunctional glucose channel increase 77 00:04:39,800 --> 00:04:41,839 Speaker 2: or intelligence? But it's probably doing really good things for 78 00:04:41,880 --> 00:04:43,280 Speaker 2: brain health and that's probably why. 79 00:04:43,520 --> 00:04:43,719 Speaker 3: Yeah. 80 00:04:45,520 --> 00:04:48,159 Speaker 2: But so we sort of have this natural experiment that 81 00:04:48,200 --> 00:04:51,880 Speaker 2: tells us, hey, you know, if you're worried about taking 82 00:04:51,880 --> 00:04:54,680 Speaker 2: this drug and inhibiting this protein, there are many people 83 00:04:54,760 --> 00:04:58,200 Speaker 2: walking around their whole lives with the equivalent of the 84 00:04:58,240 --> 00:05:00,520 Speaker 2: impact of this drug. It may have very good health outcomes. 85 00:05:00,560 --> 00:05:03,039 Speaker 2: So for me personally, that just sort of gives me 86 00:05:03,200 --> 00:05:06,479 Speaker 2: more reassurance that this could be a really good thing. 87 00:05:06,880 --> 00:05:08,800 Speaker 3: Yeah, uh, I think it's a. 88 00:05:09,200 --> 00:05:12,279 Speaker 1: I think it's a it's a it's a pretty deep 89 00:05:12,440 --> 00:05:18,080 Speaker 1: level of reassurance whenever you see real humans with a 90 00:05:19,160 --> 00:05:24,000 Speaker 1: genetic change that that seems to then have good outcomes, 91 00:05:24,120 --> 00:05:28,240 Speaker 1: and then we understand the process by which it happens 92 00:05:28,320 --> 00:05:30,479 Speaker 1: as well, and then we have a drug that that 93 00:05:30,640 --> 00:05:33,479 Speaker 1: mimics that process, that has a low side effect profile. 94 00:05:34,040 --> 00:05:40,640 Speaker 1: You're starting to get towards slam dunk interventions, right, Yeah. 95 00:05:40,680 --> 00:05:42,640 Speaker 2: I mean it's it's a lot of data. You don't 96 00:05:42,680 --> 00:05:46,080 Speaker 2: you don't have that for any other longevity drug. Yeah, 97 00:05:46,120 --> 00:05:48,600 Speaker 2: the Mendelian randomization. You have to get lucky. There has 98 00:05:48,640 --> 00:05:50,800 Speaker 2: to be a gene that can model the impact of 99 00:05:50,839 --> 00:05:52,800 Speaker 2: the drug that in the human population. Most of the 100 00:05:52,800 --> 00:05:55,680 Speaker 2: time there isn't one, but we got lucky. That's JILT too, 101 00:05:57,120 --> 00:05:59,320 Speaker 2: But yeah, that I think the strongest data really is 102 00:05:59,360 --> 00:06:02,120 Speaker 2: just what's see seeing what's happening to the patients who 103 00:06:02,120 --> 00:06:06,200 Speaker 2: are taking it, how how they go on after many 104 00:06:06,279 --> 00:06:08,880 Speaker 2: years of taking this drug, and they have lower incidences 105 00:06:09,040 --> 00:06:15,320 Speaker 2: of heart failure, of a chronic kidney disease. It they're 106 00:06:15,360 --> 00:06:19,200 Speaker 2: really really impactful drugs, and it seems to be occurring 107 00:06:19,360 --> 00:06:23,240 Speaker 2: through the mechanism that makes them useful diabetes drugs. It's 108 00:06:23,360 --> 00:06:26,760 Speaker 2: decreasing blood ghos. We haven't talked about how these drugs work. 109 00:06:26,800 --> 00:06:29,080 Speaker 2: We kind of hinted at it with the function of 110 00:06:29,120 --> 00:06:32,320 Speaker 2: the protein. But at the most basic way to explain 111 00:06:32,360 --> 00:06:34,320 Speaker 2: how these work is they make you pee out some sugar. 112 00:06:34,560 --> 00:06:37,839 Speaker 2: Not what they do, because two different. 113 00:06:37,600 --> 00:06:40,040 Speaker 1: Diabetes strugs have different effects and will probably come on 114 00:06:40,160 --> 00:06:42,359 Speaker 1: the Tall Apartment form and as well. So, but to 115 00:06:42,400 --> 00:06:46,680 Speaker 1: think this is important, right, is that that that process. 116 00:06:46,200 --> 00:06:47,240 Speaker 3: By which they work. 117 00:06:48,279 --> 00:06:52,880 Speaker 2: Yep, absolutely, yeah, they in this case. I mean, there's 118 00:06:53,000 --> 00:06:56,200 Speaker 2: different ways you can decrease blood sugar, right. One way 119 00:06:56,279 --> 00:06:57,720 Speaker 2: is to let more of it out in the urine 120 00:06:58,839 --> 00:07:03,320 Speaker 2: and with sglt too. And it's a substantial amount. I'm 121 00:07:03,360 --> 00:07:05,479 Speaker 2: not the best with numbers all the time. I can't 122 00:07:05,520 --> 00:07:08,120 Speaker 2: remember how many grams of sugar it is that you 123 00:07:08,160 --> 00:07:10,400 Speaker 2: lose per day, but it's substantial. It's something like I 124 00:07:10,400 --> 00:07:12,200 Speaker 2: want to say it's fifty grams that don't quote me 125 00:07:12,240 --> 00:07:15,440 Speaker 2: on that, but you're losing a substantial amount of sugar 126 00:07:15,480 --> 00:07:17,640 Speaker 2: in your urine. It's higher in a diabetic that has 127 00:07:17,720 --> 00:07:19,560 Speaker 2: high blood sugar to begin with, but it happens in 128 00:07:19,600 --> 00:07:23,720 Speaker 2: healthy individuals too, So you're basically taking taking your blood 129 00:07:23,720 --> 00:07:26,560 Speaker 2: sugar level, which you know you have your stable zones 130 00:07:26,560 --> 00:07:28,800 Speaker 2: and your spikes, and you're just shifting all of it down. 131 00:07:29,000 --> 00:07:32,800 Speaker 2: You're just decreasing the basal tone in that blood sugar level. 132 00:07:32,880 --> 00:07:37,760 Speaker 2: You're making the blood sugar spikes less spiky, so it's 133 00:07:38,600 --> 00:07:43,040 Speaker 2: I'm presumably john then less inchillin exactly, then you get 134 00:07:43,080 --> 00:07:45,800 Speaker 2: less insulin signaling. So in some ways it's sort of 135 00:07:45,800 --> 00:07:49,160 Speaker 2: mimicking what happens with chloric restriction, which is sort of 136 00:07:49,200 --> 00:07:54,560 Speaker 2: a gold standard intervention for lifespan extension, right, So at 137 00:07:54,600 --> 00:07:57,000 Speaker 2: a fundamental level, that's at least one of the things 138 00:07:57,040 --> 00:08:01,000 Speaker 2: they're doing is decreasing blood sugar, which has onstream benefits 139 00:08:01,040 --> 00:08:04,720 Speaker 2: throughout the body. In the kidney I mentioned, they have 140 00:08:04,760 --> 00:08:07,640 Speaker 2: sort of a protective effect on the kidney. One of 141 00:08:07,680 --> 00:08:12,360 Speaker 2: the by products of inhibiting that sodia well glucose and 142 00:08:12,400 --> 00:08:15,400 Speaker 2: also it inhibits sodium re uptake in the kidney is 143 00:08:15,440 --> 00:08:18,280 Speaker 2: that you decrease the pressure in your kidney, so you're 144 00:08:18,280 --> 00:08:20,800 Speaker 2: just putting less stress on it over time. So people 145 00:08:20,840 --> 00:08:24,240 Speaker 2: don't think about kidneys in terms of longevity so often, 146 00:08:24,320 --> 00:08:26,880 Speaker 2: but it's important to realize as we get older, all 147 00:08:26,920 --> 00:08:29,720 Speaker 2: of our kidneys are starting to fail. Your kidney function 148 00:08:29,840 --> 00:08:32,480 Speaker 2: is never going up, it's always going down. So if 149 00:08:32,480 --> 00:08:34,280 Speaker 2: you have a drug that can stop that, and that's 150 00:08:34,320 --> 00:08:36,800 Speaker 2: exactly what these do, They stop the decline of kidney function, 151 00:08:37,040 --> 00:08:38,679 Speaker 2: that's that's potentially a very good thing. 152 00:08:39,320 --> 00:08:40,720 Speaker 3: Kidneys are really interesting. 153 00:08:40,760 --> 00:08:43,439 Speaker 1: I remember I went to the Ukena was sitting beside 154 00:08:43,480 --> 00:08:48,440 Speaker 1: an nephrologist and we had a long chat about kidneys 155 00:08:48,440 --> 00:08:52,360 Speaker 1: and kidney health and basically they're a window into your 156 00:08:52,400 --> 00:08:56,720 Speaker 1: cardiovascular system, which I'd never thought about because he said 157 00:08:56,800 --> 00:09:00,400 Speaker 1: that the amount of blood vessels concentrated in the kidney, 158 00:09:00,520 --> 00:09:03,719 Speaker 1: so he said, in nerve research, they see a lot 159 00:09:03,720 --> 00:09:07,280 Speaker 1: of cardiovascular issues appearing in the kidney first. 160 00:09:07,840 --> 00:09:10,319 Speaker 3: That's the place that they can look for them. 161 00:09:10,679 --> 00:09:13,679 Speaker 2: That makes sense. I mean, kidneys they're not a regenerative organ. 162 00:09:14,080 --> 00:09:17,160 Speaker 2: So you knows, as you lose the filtering units in 163 00:09:17,200 --> 00:09:19,600 Speaker 2: your kidneys as you get older, you're never getting them 164 00:09:19,600 --> 00:09:22,719 Speaker 2: aer back. And they're also very susceptible to stress. You know, 165 00:09:22,800 --> 00:09:26,480 Speaker 2: things like high blood pressure, high blood sugar. It stresses 166 00:09:26,480 --> 00:09:28,400 Speaker 2: the kidney and you start to lose more of that function. 167 00:09:28,480 --> 00:09:30,439 Speaker 2: So yeah, I mean it makes sense that you could 168 00:09:30,559 --> 00:09:31,360 Speaker 2: free it that way. 169 00:09:31,920 --> 00:09:36,000 Speaker 1: Yeah. Okay, So we've talked about SGL two inhibitors and 170 00:09:36,000 --> 00:09:40,480 Speaker 1: and that that they and I completely agree with you 171 00:09:40,559 --> 00:09:44,480 Speaker 1: that they seem to be the one drug. I think 172 00:09:44,520 --> 00:09:49,360 Speaker 1: that data is much clearer for humans than wrappamacin. Let's 173 00:09:49,520 --> 00:09:53,720 Speaker 1: then talk about mett Foreman, right, because it's it's interesting 174 00:09:53,760 --> 00:09:57,480 Speaker 1: when as I've talked about longevity before in topics, and 175 00:09:57,800 --> 00:10:01,559 Speaker 1: I've had you know, molecules that or drugs that are 176 00:10:01,720 --> 00:10:07,040 Speaker 1: really interesting, and then I had a category of yen nah. 177 00:10:08,120 --> 00:10:10,199 Speaker 3: It's a it's a kind of an Australian thing. 178 00:10:10,280 --> 00:10:14,959 Speaker 1: Yeah nah, yeah, the same, right, And so I had 179 00:10:15,000 --> 00:10:18,200 Speaker 1: put met forman in the yen nah and now it's 180 00:10:18,240 --> 00:10:21,840 Speaker 1: in the yen na maybe camp for me, right and 181 00:10:22,040 --> 00:10:25,080 Speaker 1: reason So the reason I'll give you for that was 182 00:10:26,000 --> 00:10:28,360 Speaker 1: you you'll probably be more over this than me. But 183 00:10:28,400 --> 00:10:31,199 Speaker 1: there was that early experiment that showed and correct me 184 00:10:31,240 --> 00:10:33,120 Speaker 1: if I'm I get the details wrong here, John, but 185 00:10:33,760 --> 00:10:37,480 Speaker 1: people who were at diabetics who were taking met Foreman 186 00:10:38,200 --> 00:10:42,679 Speaker 1: and appeared to live longer, and then people who were 187 00:10:42,880 --> 00:10:46,320 Speaker 1: non diabetics and not on met forman right in this 188 00:10:46,400 --> 00:10:48,960 Speaker 1: one particular study, and then there was all of this 189 00:10:49,200 --> 00:10:53,040 Speaker 1: creas about met forman being a longevity molecular longevity drug. 190 00:10:53,800 --> 00:10:58,600 Speaker 1: And then another study came out which actually criticized some 191 00:10:58,640 --> 00:11:01,480 Speaker 1: of the methodology in the first study and that that 192 00:11:01,679 --> 00:11:06,520 Speaker 1: some of the people who were excluded were because they 193 00:11:06,559 --> 00:11:08,800 Speaker 1: had disease, and it was like, well, you can't really 194 00:11:08,880 --> 00:11:14,520 Speaker 1: do that. And this intervention where they included everybody and 195 00:11:14,720 --> 00:11:18,040 Speaker 1: showed that there was no longevity benefit to the people 196 00:11:18,080 --> 00:11:20,440 Speaker 1: who were diabetic taking met forms So there was a 197 00:11:20,440 --> 00:11:23,160 Speaker 1: bit of a ooh dob squid, but they and some 198 00:11:23,360 --> 00:11:27,640 Speaker 1: interesting stuff has come out about met forming recently in 199 00:11:27,720 --> 00:11:31,000 Speaker 1: terms of other health benefits, which I'm sure you're more 200 00:11:31,080 --> 00:11:35,160 Speaker 1: over than me, and and lots of animal So talk 201 00:11:35,280 --> 00:11:39,080 Speaker 1: us through met forming and your take on met forming 202 00:11:39,640 --> 00:11:40,120 Speaker 1: and and. 203 00:11:40,120 --> 00:11:43,319 Speaker 3: It's yeah, is it a year na? Is it a yeah? 204 00:11:43,440 --> 00:11:43,600 Speaker 1: Nah? 205 00:11:43,720 --> 00:11:45,600 Speaker 3: Yeah, yeah, work. 206 00:11:45,640 --> 00:11:47,920 Speaker 2: I'm kind of gonna eat I guess it's a yeah. 207 00:11:48,040 --> 00:11:48,079 Speaker 1: No. 208 00:11:48,760 --> 00:11:51,320 Speaker 2: I think I think there's reason to believe that could 209 00:11:51,320 --> 00:11:54,640 Speaker 2: be beneficial, but we don't have, you know, the rock 210 00:11:54,720 --> 00:11:59,000 Speaker 2: solid data that I think we have for SGLT too inhibitors. 211 00:12:00,200 --> 00:12:03,360 Speaker 2: So yeah, met foreman, I've I've tried met Foreman as 212 00:12:03,440 --> 00:12:05,280 Speaker 2: a longevity intervention myself. 213 00:12:06,040 --> 00:12:08,640 Speaker 3: I think, how did you how did you find that? 214 00:12:08,760 --> 00:12:12,080 Speaker 3: What would they also that any positive SETI negatives that 215 00:12:12,120 --> 00:12:13,400 Speaker 3: you noticed. 216 00:12:13,440 --> 00:12:16,800 Speaker 1: You're running reasonably tightly controlled experiments as much as you 217 00:12:16,840 --> 00:12:18,120 Speaker 1: can in a free living human. 218 00:12:18,600 --> 00:12:21,439 Speaker 2: Yeah, I'd try to change a million things at once, 219 00:12:21,480 --> 00:12:24,000 Speaker 2: and you know, take good notes on my biomarkers and 220 00:12:24,000 --> 00:12:26,800 Speaker 2: how I feel and that sort of thing. Met Foreman, 221 00:12:27,760 --> 00:12:30,679 Speaker 2: It's one of those that. So there there are some 222 00:12:30,800 --> 00:12:34,440 Speaker 2: drugs that I've noticed when I've taken, like an SGLT 223 00:12:34,520 --> 00:12:37,920 Speaker 2: two inhibitor. I feel fantastic when I when I take 224 00:12:37,920 --> 00:12:41,040 Speaker 2: an SGLT two inhibitor, and I think it's probably because 225 00:12:41,200 --> 00:12:44,720 Speaker 2: I wake up in ketosis. I have these keytnes going 226 00:12:44,760 --> 00:12:46,320 Speaker 2: into my brain in the morning, and I just feel 227 00:12:46,400 --> 00:12:49,960 Speaker 2: crystal clear and energetic. And I notice when I'm taking 228 00:12:50,000 --> 00:12:52,920 Speaker 2: one of those drugs and it feels very good. Met Foreman. 229 00:12:53,720 --> 00:12:55,920 Speaker 2: Kind of is the other way. I don't feel the 230 00:12:56,000 --> 00:13:01,120 Speaker 2: greatest met Foreman, I feel kind of sleepy and then 231 00:13:01,160 --> 00:13:05,160 Speaker 2: like I have a little bit less energy. So that's 232 00:13:05,320 --> 00:13:07,400 Speaker 2: that's a turn off, right. I don't like to feel 233 00:13:07,480 --> 00:13:10,400 Speaker 2: that way. Yeah, And I've tried to you know, tweaking 234 00:13:10,400 --> 00:13:13,199 Speaker 2: the dose a little bit, seeing if I can find 235 00:13:13,520 --> 00:13:15,760 Speaker 2: a low enough dose where it's doing something. But I 236 00:13:15,800 --> 00:13:18,000 Speaker 2: don't have those side effects and that that does help. 237 00:13:19,480 --> 00:13:22,600 Speaker 2: But you know, everybody's different. That's probably just a me thing. 238 00:13:22,679 --> 00:13:25,319 Speaker 2: I don't think everybody's going to be leepy if they 239 00:13:25,400 --> 00:13:27,320 Speaker 2: take a low dose in that form, and I think 240 00:13:27,400 --> 00:13:29,120 Speaker 2: maybe I'm just kind of sensitive to some of the 241 00:13:29,120 --> 00:13:32,319 Speaker 2: downstream effects of that one. But for that reason, it's 242 00:13:32,360 --> 00:13:36,080 Speaker 2: not my favorite. But I do think there's good data 243 00:13:36,559 --> 00:13:40,800 Speaker 2: to support that it's doing positive things for health, absolutely, but. 244 00:13:41,160 --> 00:13:46,480 Speaker 1: It's in exercise interference. Yeah, do you do you think 245 00:13:46,520 --> 00:13:47,080 Speaker 1: that's real? 246 00:13:49,000 --> 00:13:51,400 Speaker 2: I think it's real if you are the type of 247 00:13:51,440 --> 00:13:54,679 Speaker 2: subject that that study was run on, if you're if 248 00:13:54,720 --> 00:13:57,880 Speaker 2: you're an elderly person who is at risk of frailty 249 00:13:58,000 --> 00:14:01,920 Speaker 2: and you're not resistance training. Yeah, I mean, I think 250 00:14:01,960 --> 00:14:04,240 Speaker 2: there's a risk that then you take a drug like 251 00:14:04,320 --> 00:14:06,760 Speaker 2: Matt Foreman that is going to decrease your blood sugar 252 00:14:06,840 --> 00:14:09,160 Speaker 2: levels and lead to some muscle atrophy. 253 00:14:09,720 --> 00:14:10,000 Speaker 3: Yeah. 254 00:14:10,040 --> 00:14:12,880 Speaker 2: I think that's a real risk For someone who is 255 00:14:13,600 --> 00:14:17,320 Speaker 2: regularly in the gym, they're you know, eating enough protein 256 00:14:17,360 --> 00:14:19,960 Speaker 2: to build some muscle. Maybe they've already built some muscle. 257 00:14:20,280 --> 00:14:23,680 Speaker 2: I think it's, you know, probably not a concern. I 258 00:14:23,720 --> 00:14:26,160 Speaker 2: think the benefits of that resistance training are going to 259 00:14:26,240 --> 00:14:31,800 Speaker 2: outweigh any any slight negative exercise adaptation effects of a 260 00:14:31,880 --> 00:14:32,520 Speaker 2: drug like that. 261 00:14:33,240 --> 00:14:37,760 Speaker 1: Okay, interesting, and now I interesting you mentioned with the 262 00:14:37,920 --> 00:14:43,120 Speaker 1: SGL two inhibitor you wake up in kontosis. I've been 263 00:14:43,200 --> 00:14:48,480 Speaker 1: recently thinking about intermittent fasting, right, So I used to 264 00:14:48,520 --> 00:14:52,760 Speaker 1: do intimittent fasting. Used to do sometimes sixteen it's sometimes 265 00:14:52,840 --> 00:14:55,800 Speaker 1: fourteen ten whatever, But I would just push. 266 00:14:55,600 --> 00:14:56,440 Speaker 3: My breakfast out. 267 00:14:57,040 --> 00:15:01,120 Speaker 1: And then I stopped doing it because I was having 268 00:15:01,200 --> 00:15:04,960 Speaker 1: DEXA scans every sort of six months to a year 269 00:15:05,280 --> 00:15:08,640 Speaker 1: and I had lost with it. But I'd lost significant 270 00:15:08,640 --> 00:15:12,720 Speaker 1: amounts of muscle, right, and so I stopped intermittent fasting. 271 00:15:13,600 --> 00:15:17,160 Speaker 1: And then I find out that I had a bicusp 272 00:15:17,200 --> 00:15:24,120 Speaker 1: of iotic valve and significant regurgitation, which probably explained my 273 00:15:24,840 --> 00:15:29,560 Speaker 1: muscle loss right over and above the intermittent fasting. So 274 00:15:30,240 --> 00:15:33,480 Speaker 1: I'm not like, ah shit, maybe that was any you know, 275 00:15:33,520 --> 00:15:35,720 Speaker 1: you have seen some of the data coming out. Some 276 00:15:35,760 --> 00:15:39,320 Speaker 1: of the concern about the intermittent fasting is obviously that 277 00:15:39,520 --> 00:15:43,600 Speaker 1: you fast overnight, that you've only you don't have a 278 00:15:43,600 --> 00:15:46,560 Speaker 1: big amino acid storage pull in your body. So if 279 00:15:46,600 --> 00:15:49,480 Speaker 1: you're fasting twelve, thirteen, fourteen hours, your body is going 280 00:15:49,520 --> 00:15:52,000 Speaker 1: to be breaking down muscle to get those amino acids 281 00:15:52,000 --> 00:15:54,000 Speaker 1: that are very critical for cellular function. 282 00:15:54,160 --> 00:15:54,360 Speaker 3: Right. 283 00:15:55,240 --> 00:15:57,800 Speaker 1: But then more recent research has shown him if you 284 00:15:57,840 --> 00:16:01,160 Speaker 1: take a big chunk of protein in the evening, that 285 00:16:01,320 --> 00:16:06,160 Speaker 1: muscle protein synthesis can persist for twelve or so ours. 286 00:16:06,400 --> 00:16:09,800 Speaker 3: Right. So I've been toying in my head with. 287 00:16:09,800 --> 00:16:14,480 Speaker 1: The idea of waking up in the morning and taking 288 00:16:14,800 --> 00:16:18,400 Speaker 1: a ketone ester like be the hydroxy buttoryate, right yep, 289 00:16:18,760 --> 00:16:23,960 Speaker 1: just too fast forward that move into ketosis to get 290 00:16:24,000 --> 00:16:26,920 Speaker 1: all of those benefits. 291 00:16:26,000 --> 00:16:28,280 Speaker 3: And then break the fast. 292 00:16:29,200 --> 00:16:33,320 Speaker 1: Have you ever thought about taking a ketone est or 293 00:16:33,360 --> 00:16:36,000 Speaker 1: have you ever played with taking a keyton ester if you're. 294 00:16:35,920 --> 00:16:36,920 Speaker 3: Doing a bit of fasting. 295 00:16:37,560 --> 00:16:41,240 Speaker 2: I've been interested in them, and I haven't. You know, 296 00:16:41,280 --> 00:16:43,600 Speaker 2: It's part of the turn off is they're so expensive. Right, 297 00:16:43,920 --> 00:16:48,600 Speaker 2: If you want a large amount of ketone a lot 298 00:16:48,600 --> 00:16:50,960 Speaker 2: of those supplements, you know, they would be like ten 299 00:16:51,000 --> 00:16:52,080 Speaker 2: dollars a day or something. 300 00:16:52,880 --> 00:16:56,160 Speaker 1: So's that expect because I only just looked at it yesterday. 301 00:16:56,280 --> 00:16:59,280 Speaker 1: I looked at beta hydroxy beuty yesterday. So this is 302 00:16:59,360 --> 00:17:01,240 Speaker 1: very hot off the press in my mind. 303 00:17:01,400 --> 00:17:03,400 Speaker 2: Yeah, it's well, I mean some of them are. There's 304 00:17:03,440 --> 00:17:06,000 Speaker 2: different forms. I It's been a while since I've dove 305 00:17:06,040 --> 00:17:09,000 Speaker 2: into this one, but I have been interested in them, 306 00:17:09,040 --> 00:17:11,880 Speaker 2: and I think that there's there's a lot of good 307 00:17:11,960 --> 00:17:16,720 Speaker 2: data to show that taking a key tone supplement immediately 308 00:17:16,760 --> 00:17:20,639 Speaker 2: improves brain function, like the of the There are imaging 309 00:17:20,680 --> 00:17:24,000 Speaker 2: studies that show this that if you look at aging 310 00:17:24,040 --> 00:17:28,200 Speaker 2: people who are exhibiting some of the signatures of brain 311 00:17:28,280 --> 00:17:31,560 Speaker 2: aging on brain scans, you give them a key tone 312 00:17:31,560 --> 00:17:35,080 Speaker 2: supplement and you recover that function. Like it seems to 313 00:17:35,080 --> 00:17:37,600 Speaker 2: do something very positive because the brain loves keytones as 314 00:17:37,600 --> 00:17:39,679 Speaker 2: a fuel source. Yes, so that's kind of where my 315 00:17:39,760 --> 00:17:41,920 Speaker 2: interest came from. And I have looked at them, but yeah, 316 00:17:41,960 --> 00:17:46,639 Speaker 2: I haven't haven't experimented with it myself. Yeah, yeah, okay. 317 00:17:46,720 --> 00:17:49,880 Speaker 1: And then on the topic of fasting, what what's your 318 00:17:50,040 --> 00:17:55,080 Speaker 1: view on fasting, whether it be short term, intimittent fast 319 00:17:55,240 --> 00:17:58,320 Speaker 1: periods of longer fasting, what's your what's your. 320 00:17:58,240 --> 00:18:00,600 Speaker 3: View on that? And do you have a you on 321 00:18:01,520 --> 00:18:04,879 Speaker 3: what sort of age group that it would benefit more. 322 00:18:06,080 --> 00:18:09,199 Speaker 2: Yeah, that's a that's a good question. Well, so, so 323 00:18:09,280 --> 00:18:13,960 Speaker 2: first I would say I think it would benefit people 324 00:18:13,960 --> 00:18:16,800 Speaker 2: that aren't at risk of frailty or of. 325 00:18:16,840 --> 00:18:21,439 Speaker 4: Number one number one ye, yeah, and that's not just 326 00:18:21,560 --> 00:18:24,920 Speaker 4: elderly people that can also be endurance athletes that can 327 00:18:24,960 --> 00:18:30,080 Speaker 4: be you know a lot of people, fasting might tip 328 00:18:30,160 --> 00:18:35,000 Speaker 4: them too far into that catabolic state versus where. 329 00:18:34,800 --> 00:18:38,160 Speaker 2: They're already at. So I don't think it's for everyone. 330 00:18:38,320 --> 00:18:40,639 Speaker 2: If you're more in the over nutrition camp, you know, 331 00:18:40,720 --> 00:18:44,800 Speaker 2: you you have some some weight to lose, You're you're 332 00:18:44,840 --> 00:18:50,000 Speaker 2: getting in shape, you you have enough muscle mass. If 333 00:18:50,040 --> 00:18:51,440 Speaker 2: you were to lose a little bit of it, it's 334 00:18:51,440 --> 00:18:53,040 Speaker 2: not going to be the end of the world. I 335 00:18:53,040 --> 00:18:57,280 Speaker 2: think fasting can be excellent, and there's lots of excellent 336 00:18:57,320 --> 00:19:01,600 Speaker 2: clinical studies showing benefits. The tough thing is there aren't. 337 00:19:01,760 --> 00:19:04,040 Speaker 2: I mean, okay, So backing up a little bit. The 338 00:19:04,119 --> 00:19:06,119 Speaker 2: goal of fasting, as we've been talking about it is 339 00:19:06,119 --> 00:19:08,879 Speaker 2: to activate autopogy, right, to sort of kick off that 340 00:19:08,960 --> 00:19:13,520 Speaker 2: cellular recycling mechanism and get all the benefits that we 341 00:19:13,640 --> 00:19:16,320 Speaker 2: know that that has. The trouble is we don't have 342 00:19:16,359 --> 00:19:20,679 Speaker 2: great data in humans to know how long that takes. Yes, correct, 343 00:19:20,720 --> 00:19:24,199 Speaker 2: it's been very tooallenging to measure autoplogy and humans in 344 00:19:24,240 --> 00:19:27,360 Speaker 2: real time, and there's just recently, in the last couple 345 00:19:27,400 --> 00:19:29,560 Speaker 2: of years, the first studies have been able to do it, 346 00:19:29,920 --> 00:19:32,800 Speaker 2: and they've shown that I don't remember exactly how long 347 00:19:32,840 --> 00:19:36,200 Speaker 2: it was, it was an intermittent fasting protocol does indeed 348 00:19:36,240 --> 00:19:42,119 Speaker 2: activate autology in humans on an average, But you know, 349 00:19:42,160 --> 00:19:44,159 Speaker 2: that's not the same as saying that we know what 350 00:19:44,200 --> 00:19:47,480 Speaker 2: the optimal time is, how that rereads from person to person. 351 00:19:47,520 --> 00:19:49,400 Speaker 2: So I don't know. I mean, I don't know how 352 00:19:49,400 --> 00:19:53,520 Speaker 2: long it takes to start autology and how much it 353 00:19:53,600 --> 00:19:55,800 Speaker 2: ramps up if you continue, And so it's kind of 354 00:19:55,840 --> 00:19:58,560 Speaker 2: hard to make data based decisions on what to do 355 00:19:58,640 --> 00:20:02,000 Speaker 2: with fasting, which is why I think it's really for 356 00:20:02,080 --> 00:20:03,639 Speaker 2: most people, it's going to be how do you feel? 357 00:20:04,160 --> 00:20:08,119 Speaker 2: You know, are you recovering from exercise still, are you 358 00:20:08,600 --> 00:20:11,639 Speaker 2: feeling energetic? Do you feel like your your brain function 359 00:20:11,760 --> 00:20:14,720 Speaker 2: is good? I think, unfortunately, that's the best we can 360 00:20:14,720 --> 00:20:15,320 Speaker 2: do right now. 361 00:20:15,520 --> 00:20:19,240 Speaker 1: Yeah, I think anybody who tells you that fasting for 362 00:20:19,359 --> 00:20:22,280 Speaker 1: this amount of time and just just autophogy is just 363 00:20:23,040 --> 00:20:24,080 Speaker 1: the foot of ship, right. 364 00:20:25,160 --> 00:20:27,840 Speaker 2: There's no way to even measure that until very recently. 365 00:20:27,920 --> 00:20:30,760 Speaker 2: So yeah, it's not that simple. I wish it was. 366 00:20:31,560 --> 00:20:34,400 Speaker 1: And there does seem to be some research from from 367 00:20:34,560 --> 00:20:40,879 Speaker 1: and again mostly animal models that that muscle autophogy and 368 00:20:40,920 --> 00:20:45,800 Speaker 1: we can potentially accelerate the autoplogy and muscle sales from 369 00:20:45,920 --> 00:20:50,720 Speaker 1: exercising in a fasted state. Right, that's one potential, But 370 00:20:50,800 --> 00:20:54,560 Speaker 1: again I don't think we know. My view on this 371 00:20:54,800 --> 00:20:58,600 Speaker 1: is very similar to yours, is what is your mediator. 372 00:20:58,280 --> 00:20:59,520 Speaker 3: Health go right now? 373 00:20:59,840 --> 00:21:04,800 Speaker 1: Like if your metabolism is a problem, right, if you 374 00:21:04,880 --> 00:21:08,920 Speaker 1: have problems with your your glucose, if you're overweight, particularly 375 00:21:09,040 --> 00:21:13,760 Speaker 1: central obesity. I say that people you know the I 376 00:21:13,760 --> 00:21:16,520 Speaker 1: think the benefits of fasting outweigh the negatives in terms 377 00:21:16,520 --> 00:21:17,960 Speaker 1: of any loss of muscle mass. 378 00:21:18,040 --> 00:21:18,200 Speaker 3: Right. 379 00:21:18,280 --> 00:21:22,080 Speaker 1: But and particularly if you're like me in your fifties 380 00:21:22,400 --> 00:21:26,159 Speaker 1: and your major goal is to or one of your 381 00:21:26,200 --> 00:21:30,400 Speaker 1: major goals is from a health boance perspective, is maintaining 382 00:21:30,440 --> 00:21:31,400 Speaker 1: your muscle function. 383 00:21:32,480 --> 00:21:34,520 Speaker 3: I trade a little bit more carefully. 384 00:21:35,119 --> 00:21:39,000 Speaker 1: Where I've kind of landed is probably cycling through a 385 00:21:39,040 --> 00:21:42,400 Speaker 1: little bit of intermittent fasting just on a daily basis, 386 00:21:42,440 --> 00:21:45,399 Speaker 1: And then I think it's probably a good idea for 387 00:21:45,480 --> 00:21:48,840 Speaker 1: me to do once a year, a four day water 388 00:21:48,880 --> 00:21:52,879 Speaker 1: fast to get that sort of system right wide reset 389 00:21:53,240 --> 00:21:57,000 Speaker 1: and and just know that I'm to some resistance training 390 00:21:57,119 --> 00:22:00,240 Speaker 1: during it and minimize them the loss of muscle. That's 391 00:22:00,320 --> 00:22:04,240 Speaker 1: kind of where I've landed. Are you in a similar spot? 392 00:22:04,320 --> 00:22:06,320 Speaker 1: It sounds like you're in a similar spot. 393 00:22:06,800 --> 00:22:07,040 Speaker 3: Yeah. 394 00:22:07,560 --> 00:22:10,080 Speaker 2: I think the resistance training while you're doing it is key. 395 00:22:10,400 --> 00:22:13,960 Speaker 2: I mean, if if you're if you're resistance training enough 396 00:22:13,960 --> 00:22:16,000 Speaker 2: that you know how strong you are, then you know, 397 00:22:16,160 --> 00:22:18,320 Speaker 2: you know, for a given exercise at a given way, 398 00:22:18,400 --> 00:22:21,120 Speaker 2: how many reps you should be able to get. Sort 399 00:22:21,119 --> 00:22:24,200 Speaker 2: of doing low volume resistance training where you're making sure 400 00:22:24,200 --> 00:22:26,680 Speaker 2: you're not losing reps or losing weight while you're doing it. 401 00:22:26,960 --> 00:22:29,280 Speaker 2: If that's the case, you're not losing muscle, right, You're 402 00:22:29,320 --> 00:22:31,040 Speaker 2: not going to keep your lips where they are if 403 00:22:31,880 --> 00:22:34,679 Speaker 2: if you're losing a bunch of muscles. So I think 404 00:22:34,960 --> 00:22:37,600 Speaker 2: I think that's a very sensible way to go about it. Absolutely. 405 00:22:37,880 --> 00:22:38,200 Speaker 3: Yeah. 406 00:22:38,200 --> 00:22:43,040 Speaker 1: Cool, And so let's not talk about a couple of 407 00:22:43,080 --> 00:22:46,280 Speaker 1: other things that that might be interesting. 408 00:22:47,520 --> 00:22:50,680 Speaker 3: So glysing, I think was something. 409 00:22:50,440 --> 00:22:54,840 Speaker 1: That came up in the intervention testing program as potential, 410 00:22:55,400 --> 00:22:58,560 Speaker 1: and then I saw a series of research papers upbut 411 00:22:58,680 --> 00:23:05,919 Speaker 1: kalinak so glycine and an acetyl cysting. And the reason 412 00:23:06,000 --> 00:23:09,760 Speaker 1: I found these research papers interesting was they done and 413 00:23:09,880 --> 00:23:11,520 Speaker 1: I'm not sure if you're familiar with these studies, but 414 00:23:11,560 --> 00:23:14,879 Speaker 1: they've done and studies in mice and showed that glinac 415 00:23:15,240 --> 00:23:17,560 Speaker 1: enhanced their health span. 416 00:23:17,680 --> 00:23:19,080 Speaker 3: But it did it through. 417 00:23:19,080 --> 00:23:25,160 Speaker 1: Reducing oxidative stress, reducing inflammation, reducing mitochondrial dysfunction. Right, And 418 00:23:25,320 --> 00:23:29,159 Speaker 1: the same research group then showed that in humans, in 419 00:23:29,320 --> 00:23:37,800 Speaker 1: older adults, this is taking glinac reduced mitochondrial dysfunction, reduced 420 00:23:37,800 --> 00:23:43,120 Speaker 1: oxidative stress, reduced inflammation. And I thought, oh, that that's interesting. 421 00:23:43,200 --> 00:23:47,280 Speaker 1: And the fact that glycine independently seems to be interesting 422 00:23:47,760 --> 00:23:52,600 Speaker 1: and an acetyl cysting independently would seem to have significant 423 00:23:52,680 --> 00:23:59,000 Speaker 1: benefits for me, that's one that has got quite good 424 00:23:59,119 --> 00:24:03,879 Speaker 1: potential in terms of an intervention, although glenac itself hasn't 425 00:24:03,880 --> 00:24:04,280 Speaker 1: been tested. 426 00:24:04,280 --> 00:24:06,200 Speaker 3: What's your thoughts any thoughts on ginac? 427 00:24:06,960 --> 00:24:08,960 Speaker 2: That's yeah, no, you're you're giving me a new one. 428 00:24:09,119 --> 00:24:11,720 Speaker 2: I have heard of it. I'm not familiar with the research, 429 00:24:11,800 --> 00:24:15,200 Speaker 2: so I need to check it out, but I guess yeah. 430 00:24:15,240 --> 00:24:19,840 Speaker 2: My question would be with presumably anecetyl systeine is the 431 00:24:19,920 --> 00:24:23,040 Speaker 2: active agent because that has all sorts of biological activity 432 00:24:23,080 --> 00:24:26,080 Speaker 2: for reducing oxidative stress. And yeah, there's very good data 433 00:24:26,080 --> 00:24:29,000 Speaker 2: for that supplement on its own for all sorts of things. Yes, 434 00:24:29,520 --> 00:24:31,800 Speaker 2: So when you conjugate it to glycine, Yeah, what's that doing? 435 00:24:31,920 --> 00:24:32,240 Speaker 3: Is it? 436 00:24:32,280 --> 00:24:37,880 Speaker 2: Is it changing the biodistribution of anacetyl systeine. Presumably it's 437 00:24:37,920 --> 00:24:41,120 Speaker 2: doing something like that. So I would need to read 438 00:24:41,200 --> 00:24:42,000 Speaker 2: up on that one a little. 439 00:24:42,119 --> 00:24:44,080 Speaker 1: So I want to flick you some research papers and 440 00:24:44,080 --> 00:24:48,840 Speaker 1: I look forward to a blog post from you on it. Yeah. Yeah, 441 00:24:48,960 --> 00:24:53,240 Speaker 1: let's we're over an r into this, but let's get 442 00:24:53,320 --> 00:24:56,240 Speaker 1: into the topic that I got to you on. 443 00:24:56,280 --> 00:24:59,240 Speaker 3: Into the show. Yeah, yeah, it's sure, you're right, which 444 00:24:59,400 --> 00:25:00,720 Speaker 3: was your wrote. 445 00:25:00,480 --> 00:25:07,280 Speaker 1: This fascinating article about microplastics and and an intervention that 446 00:25:07,280 --> 00:25:10,120 Speaker 1: that you had done on yourself. And I love self experimentation. 447 00:25:10,320 --> 00:25:13,320 Speaker 1: I'm actually you know, given all that we have talked 448 00:25:13,320 --> 00:25:18,440 Speaker 1: about here and individual differences, I think everybody should be 449 00:25:18,520 --> 00:25:21,919 Speaker 1: self experimenting. An equals one is not a great science 450 00:25:21,960 --> 00:25:28,640 Speaker 1: experiment unless it's done on you. Yeah, right, for you, yeah, exactly, 451 00:25:28,760 --> 00:25:30,400 Speaker 1: as long as you kind of know what you've got 452 00:25:30,440 --> 00:25:32,800 Speaker 1: to know what you're doing. That's that's the key thing, 453 00:25:34,160 --> 00:25:37,360 Speaker 1: so to talk to us about because I'd be more 454 00:25:37,400 --> 00:25:41,720 Speaker 1: and more concerned about the research coming out about plastics, 455 00:25:41,720 --> 00:25:43,879 Speaker 1: and I think most of my listeners would be familiar 456 00:25:43,920 --> 00:25:45,720 Speaker 1: with that. I've done a couple of podcasts on it, 457 00:25:45,800 --> 00:25:48,919 Speaker 1: not not at a deep level, but just the fact 458 00:25:48,960 --> 00:25:51,760 Speaker 1: that they are ubiquitous in the environment, and they found 459 00:25:51,760 --> 00:25:55,960 Speaker 1: it in pretty much every human tissue in placentas. I 460 00:25:55,960 --> 00:25:58,960 Speaker 1: think it was one hundred percent strike rate in US women. 461 00:25:59,080 --> 00:26:01,959 Speaker 1: When they look, they're not finding it. When they're all 462 00:26:02,040 --> 00:26:05,280 Speaker 1: top seeing human brein, they're finding microplastics in there. 463 00:26:05,440 --> 00:26:10,720 Speaker 3: So this ship is insidious. It's clearly not doing good. 464 00:26:11,440 --> 00:26:16,440 Speaker 5: And so give us your view on just on why 465 00:26:16,440 --> 00:26:20,399 Speaker 5: they're bad and then the intervention you did and what 466 00:26:20,600 --> 00:26:22,280 Speaker 5: some people could potentially do. 467 00:26:23,320 --> 00:26:28,040 Speaker 2: Yeah, I'll do my best. So So, the microplastic situation 468 00:26:29,600 --> 00:26:31,920 Speaker 2: is something that I only learned about recently in the 469 00:26:32,000 --> 00:26:34,520 Speaker 2: last year or two, and as I learned more about it, 470 00:26:34,680 --> 00:26:40,600 Speaker 2: I was just like, holy shit, this is terrible. Yeah, yeah, 471 00:26:40,720 --> 00:26:44,560 Speaker 2: it's And I also wondered, like, why aren't we talking 472 00:26:44,560 --> 00:26:48,600 Speaker 2: about this? You know, this is this is this is 473 00:26:48,640 --> 00:26:52,919 Speaker 2: absolutely devastating that that we're we're all facing this exposure 474 00:26:53,000 --> 00:26:55,080 Speaker 2: and that it's in all of our tissues, and it's 475 00:26:55,119 --> 00:26:58,439 Speaker 2: increasing over time, and it's associated with a number of 476 00:26:58,440 --> 00:27:01,439 Speaker 2: really terrible health outcomes. It's it's it's really scary, and 477 00:27:01,480 --> 00:27:04,680 Speaker 2: it is not getting any attention at all. We'll see 478 00:27:04,680 --> 00:27:06,800 Speaker 2: a pop press article once in a while, you know, 479 00:27:06,880 --> 00:27:10,919 Speaker 2: saying they found new microplastic levels in something worse than 480 00:27:10,960 --> 00:27:13,320 Speaker 2: we thought, and it's you know, it's it's getting some attention, 481 00:27:13,400 --> 00:27:16,520 Speaker 2: but people just don't care the way they should. But 482 00:27:16,600 --> 00:27:19,760 Speaker 2: when I learned about this, I was very scared. When 483 00:27:19,800 --> 00:27:21,920 Speaker 2: I when I learned it was the brain paper was 484 00:27:21,920 --> 00:27:24,520 Speaker 2: the one that really got me. This was from Matthew 485 00:27:24,560 --> 00:27:29,760 Speaker 2: Campin's Groove. They looked at brain samples from deceased people 486 00:27:30,280 --> 00:27:34,360 Speaker 2: with a new very sensitive technique that can detect microplastics. 487 00:27:34,359 --> 00:27:37,560 Speaker 2: They used a number of techniques, they detected them multiple ways, 488 00:27:38,240 --> 00:27:40,800 Speaker 2: and what they found was that our brains just have 489 00:27:41,000 --> 00:27:45,600 Speaker 2: an absurd amount of plastic accumulating in them in the 490 00:27:45,920 --> 00:27:50,160 Speaker 2: form of these really tiny micro and nanoparticles. It's higher 491 00:27:50,160 --> 00:27:53,760 Speaker 2: than other tissues in the body. It's you know, you 492 00:27:53,840 --> 00:27:58,200 Speaker 2: can detect them biochemically with mass spec you can detect 493 00:27:58,200 --> 00:28:01,679 Speaker 2: them microscopically. If you stain and look for this the 494 00:28:01,720 --> 00:28:04,920 Speaker 2: plastic particles in the brain, it's it's a very clear finding. 495 00:28:05,359 --> 00:28:08,440 Speaker 2: And of course, you know, the plastic industry is pushing 496 00:28:08,480 --> 00:28:10,720 Speaker 2: back very hard, trying to discredit the science. But it's 497 00:28:10,840 --> 00:28:13,359 Speaker 2: very solid science published in one of the mist journals 498 00:28:13,359 --> 00:28:15,320 Speaker 2: in the world. So if anyone has doubts on the science, 499 00:28:15,760 --> 00:28:19,560 Speaker 2: don't believe it. This is excellent science. But they show 500 00:28:19,600 --> 00:28:22,160 Speaker 2: that it's accumulating to these massive levels in the brain 501 00:28:22,920 --> 00:28:25,320 Speaker 2: and in other tissues. And if you look at brains 502 00:28:25,320 --> 00:28:28,960 Speaker 2: of people with dementia, it's it's quite a bit higher 503 00:28:28,960 --> 00:28:31,040 Speaker 2: than in people without dementia. That doesn't mean that the 504 00:28:31,040 --> 00:28:33,600 Speaker 2: plastic cause the dementia. We don't know what the relationship 505 00:28:33,640 --> 00:28:35,760 Speaker 2: is yet, but it's it's concerning. 506 00:28:35,680 --> 00:28:39,200 Speaker 3: Yeah, probably not doing good. Let's put it out well. 507 00:28:39,160 --> 00:28:42,520 Speaker 2: It's not doing anything good, and so it's you know, 508 00:28:42,600 --> 00:28:45,960 Speaker 2: that's one study in humans. There have been many, many 509 00:28:46,040 --> 00:28:48,680 Speaker 2: other mechanistic studies in mice where they inject mice with 510 00:28:48,720 --> 00:28:51,440 Speaker 2: microplastics and look at what happens. There are cell studies, 511 00:28:52,000 --> 00:28:57,320 Speaker 2: and what we're learning is that these really tiny plastic 512 00:28:57,360 --> 00:28:59,600 Speaker 2: particles they do a lot of really bad stuff in 513 00:28:59,640 --> 00:29:03,600 Speaker 2: the body. But I think at the core what's happening 514 00:29:03,680 --> 00:29:08,440 Speaker 2: is one of the worst things is that your immune cells, 515 00:29:08,480 --> 00:29:11,880 Speaker 2: of course recognize this foreign object in your circulation or 516 00:29:11,880 --> 00:29:14,120 Speaker 2: in your tissue, and they try to eliminate it, and 517 00:29:14,120 --> 00:29:17,080 Speaker 2: that's what their job is, so they'll actually engulf this 518 00:29:17,200 --> 00:29:20,760 Speaker 2: microplastic This little tiny plastic particle goes into the cell. 519 00:29:21,360 --> 00:29:23,240 Speaker 2: But the cells are also little and tiny, so the 520 00:29:23,240 --> 00:29:26,760 Speaker 2: plastic particle is like almost as big as the cell itself. Wow, 521 00:29:27,520 --> 00:29:31,360 Speaker 2: it gets stuck in its lycisme. That cell goes crazy 522 00:29:31,360 --> 00:29:33,840 Speaker 2: and does all sorts of bad things. It starts releasing 523 00:29:33,880 --> 00:29:38,800 Speaker 2: inflammatory cytokinds in the brain. These immune cells get stuck 524 00:29:39,000 --> 00:29:44,760 Speaker 2: and cause little coagulation issues and little thrombotic issues in 525 00:29:44,800 --> 00:29:51,000 Speaker 2: the brain. They drive inflammation. Like, the collective take of 526 00:29:51,040 --> 00:29:53,760 Speaker 2: the studies is that these are not anything we want 527 00:29:53,800 --> 00:29:56,760 Speaker 2: in our bodies. We should all be very concerned that 528 00:29:57,120 --> 00:29:59,719 Speaker 2: you can detect them and most of our tissues and 529 00:30:00,080 --> 00:30:05,680 Speaker 2: they're likely driving persistent chronic inflammation. And yeah, I mean, 530 00:30:05,720 --> 00:30:06,680 Speaker 2: I could go on and. 531 00:30:06,600 --> 00:30:09,640 Speaker 1: On, but I think we could summarize this John microplastics 532 00:30:09,680 --> 00:30:13,240 Speaker 1: equal a cellular shit storm. 533 00:30:13,640 --> 00:30:16,280 Speaker 2: It is a shit storm. It's a whole body wide 534 00:30:16,280 --> 00:30:20,479 Speaker 2: shit storm. It's one study I should also menage. There 535 00:30:20,520 --> 00:30:24,800 Speaker 2: was a study that looked at I believe it was 536 00:30:24,840 --> 00:30:26,040 Speaker 2: carotid artery plaques. 537 00:30:26,360 --> 00:30:26,520 Speaker 3: Right. 538 00:30:26,600 --> 00:30:28,880 Speaker 2: They had patients coming in to get these plaques taken out. 539 00:30:28,880 --> 00:30:31,720 Speaker 2: They were going to have it happen anyways, So they 540 00:30:31,720 --> 00:30:34,360 Speaker 2: consented to patients and asked, can we look and see 541 00:30:34,360 --> 00:30:37,000 Speaker 2: if your plack has microplastics, and then can we follow 542 00:30:37,040 --> 00:30:39,960 Speaker 2: you for a period of time afterwards and see what happens. 543 00:30:41,040 --> 00:30:42,880 Speaker 2: So they did this. They had it was a well 544 00:30:42,920 --> 00:30:45,520 Speaker 2: powered study. They had a large number of patients. They 545 00:30:46,560 --> 00:30:49,840 Speaker 2: they bucketed the patients into two groups. There were patients 546 00:30:49,840 --> 00:30:52,479 Speaker 2: that had microplastics in their plaques and then there were 547 00:30:52,560 --> 00:30:54,560 Speaker 2: patients that had plaques without microplastics. 548 00:30:54,640 --> 00:30:54,800 Speaker 3: Right. 549 00:30:56,680 --> 00:30:58,920 Speaker 2: The patients, they then they followed them for a number 550 00:30:58,960 --> 00:31:00,920 Speaker 2: of years. I wish I remember the exact number, but 551 00:31:00,960 --> 00:31:04,360 Speaker 2: I don't. They followed the patients and the ones that 552 00:31:04,440 --> 00:31:08,960 Speaker 2: had the microplastics in their in their plaques had dramatically 553 00:31:09,040 --> 00:31:14,240 Speaker 2: worse health outcomes in terms of fatality, stroke, heart attack. 554 00:31:14,760 --> 00:31:17,680 Speaker 2: It was it was a very clear difference. And it's 555 00:31:17,720 --> 00:31:19,960 Speaker 2: They also had a lot of beautiful mechanistic data in 556 00:31:20,000 --> 00:31:22,320 Speaker 2: the study where they looked at markers of inflammation in 557 00:31:22,360 --> 00:31:25,520 Speaker 2: the plaques much much higher when the microplastics are present. 558 00:31:25,920 --> 00:31:29,360 Speaker 2: So it's it's it's observational data. People will always push 559 00:31:29,400 --> 00:31:31,480 Speaker 2: back and they it's not a randomized controlled trial, but 560 00:31:31,840 --> 00:31:33,400 Speaker 2: we're never going to have that where I can inject 561 00:31:33,440 --> 00:31:36,479 Speaker 2: people with microplastics. So this is the best we can do. 562 00:31:36,880 --> 00:31:40,080 Speaker 2: And it says that it's very very bad and and 563 00:31:40,080 --> 00:31:44,480 Speaker 2: and yeah, it's a signal is consistent across multiple studies. 564 00:31:45,080 --> 00:31:47,120 Speaker 1: You need to take set up and take notice and 565 00:31:47,120 --> 00:31:50,960 Speaker 1: forget about a bloody randomized control draw right. So yeah, yeah, 566 00:31:51,240 --> 00:31:54,240 Speaker 1: so what I be you done then as a result 567 00:31:54,280 --> 00:31:56,320 Speaker 1: of this, tell us about this experiment? 568 00:31:56,560 --> 00:32:00,640 Speaker 2: Okay, Well, so, as I kind of went down the 569 00:32:00,680 --> 00:32:04,320 Speaker 2: rabbit hole and learned more about microplastics, one of the 570 00:32:04,320 --> 00:32:07,720 Speaker 2: things that was frustrating was that nobody is publishing trials 571 00:32:07,800 --> 00:32:10,680 Speaker 2: yet in mice or in cell models on how to 572 00:32:10,720 --> 00:32:13,840 Speaker 2: get these things out of ourselves. You know, it's I'm 573 00:32:13,880 --> 00:32:15,680 Speaker 2: sure there are people working on it. The field is 574 00:32:15,760 --> 00:32:19,000 Speaker 2: moving very rapidly. I'm sure there's all sorts of new 575 00:32:19,080 --> 00:32:20,880 Speaker 2: labs that are just starting to work on this, But 576 00:32:20,920 --> 00:32:24,440 Speaker 2: the the interventional stuff just really isn't out there yet. 577 00:32:25,160 --> 00:32:27,200 Speaker 2: There's a couple of groups that have shown that if 578 00:32:27,200 --> 00:32:31,000 Speaker 2: you ingest certain certain supplements you can kind of bind 579 00:32:31,080 --> 00:32:33,440 Speaker 2: up microplastics in the gut because most of it's coming 580 00:32:33,440 --> 00:32:36,320 Speaker 2: from dietary intake, and you can help prevent the gut 581 00:32:36,360 --> 00:32:38,360 Speaker 2: from absorbing them. So that's that's one positive. 582 00:32:39,000 --> 00:32:40,960 Speaker 1: But as far as what were those things that you 583 00:32:41,000 --> 00:32:43,200 Speaker 1: could take to bind them? Jones, can you remember off 584 00:32:43,200 --> 00:32:43,760 Speaker 1: the time. 585 00:32:43,600 --> 00:32:45,400 Speaker 2: Yeah, there's a couple. I think one of them was 586 00:32:46,120 --> 00:32:52,040 Speaker 2: Kaido sand, which is yeah, I know back when I 587 00:32:52,120 --> 00:32:55,040 Speaker 2: used to brew beer. It's an additive that people use there, 588 00:32:55,040 --> 00:32:58,280 Speaker 2: so I was familiar with it from but it's and 589 00:32:58,280 --> 00:33:00,760 Speaker 2: then there were I think some fibers supplements that could 590 00:33:00,800 --> 00:33:04,280 Speaker 2: also be basically binding agents. It's physical binding agents that 591 00:33:04,400 --> 00:33:06,480 Speaker 2: sequester it in the gut and prevent your gut from 592 00:33:06,520 --> 00:33:10,120 Speaker 2: absorbing it. And there are some supplements that I think 593 00:33:10,120 --> 00:33:11,880 Speaker 2: are going to be on the market soon that include 594 00:33:11,880 --> 00:33:15,800 Speaker 2: those ingredients with the goal the stated goal of reducing microplastics. 595 00:33:15,960 --> 00:33:20,640 Speaker 2: We won't know how well work in humans, so that's encouraging, 596 00:33:20,720 --> 00:33:23,720 Speaker 2: But once they're in our bodies and we know that, 597 00:33:24,080 --> 00:33:25,920 Speaker 2: you know they are in our bodies, most of them, 598 00:33:26,160 --> 00:33:28,160 Speaker 2: most of us probably have absurd amounts of these in 599 00:33:28,200 --> 00:33:31,560 Speaker 2: our bodies. We don't have a clue how to get 600 00:33:31,560 --> 00:33:35,640 Speaker 2: them out sort of reverse that process because I don't 601 00:33:35,680 --> 00:33:38,440 Speaker 2: want microplastics in my cells driving inflammation. I don't know 602 00:33:38,440 --> 00:33:40,880 Speaker 2: about you, but when I get rid of it, I 603 00:33:40,880 --> 00:33:42,720 Speaker 2: immediately think, like, how do I get rid of this? 604 00:33:43,360 --> 00:33:46,600 Speaker 1: Particularly because you're so into lysisomes and you know that 605 00:33:46,680 --> 00:33:52,840 Speaker 1: they bunk up the lysisomes. So she's almost an existential crisis. 606 00:33:53,440 --> 00:33:56,200 Speaker 2: Is it's like, oh my god, like I have this 607 00:33:56,320 --> 00:33:58,880 Speaker 2: crap clogging up my lysisomes. I know what happens when 608 00:33:58,920 --> 00:34:00,880 Speaker 2: your lycismes get sick. I don't want anything to do 609 00:34:00,960 --> 00:34:01,120 Speaker 2: with that. 610 00:34:01,400 --> 00:34:03,720 Speaker 3: Yeah, yeah, So yeah, it was on a. 611 00:34:03,680 --> 00:34:08,040 Speaker 2: Personal level, it was scary, and so being a lysosome 612 00:34:08,080 --> 00:34:11,719 Speaker 2: biologist and someone who's worked in this space, I it 613 00:34:11,800 --> 00:34:14,640 Speaker 2: was I had one idea. I was like, well, if 614 00:34:14,719 --> 00:34:17,560 Speaker 2: other stuff accumulates in lysosomes, we know how to get 615 00:34:17,600 --> 00:34:19,760 Speaker 2: that out. I mean, we know how to get extra 616 00:34:19,880 --> 00:34:22,680 Speaker 2: cholesterol out of lysisomes. We know how to get other 617 00:34:22,719 --> 00:34:24,840 Speaker 2: substrates that build up out of lycismes. There are a 618 00:34:24,920 --> 00:34:27,640 Speaker 2: number of drugs that can do this in mice and 619 00:34:27,719 --> 00:34:31,359 Speaker 2: in humans, and one of them that had just been 620 00:34:31,400 --> 00:34:34,879 Speaker 2: published in a really interesting paper on a disease called 621 00:34:34,920 --> 00:34:37,480 Speaker 2: Nieman Pick disease, which is a disease where your lysisome 622 00:34:37,520 --> 00:34:41,880 Speaker 2: to accumulate cholesterol. This paper had used a compound called sulforophane, 623 00:34:42,360 --> 00:34:46,839 Speaker 2: and they treated the mice with sulforophane. They showed very 624 00:34:47,320 --> 00:34:50,920 Speaker 2: convincingly that that caused the lysosomes to basically dump their 625 00:34:50,920 --> 00:34:53,719 Speaker 2: contents outside of the cell so they could get rid 626 00:34:53,719 --> 00:34:56,880 Speaker 2: of all this extra cholesterol. And then once they did that, 627 00:34:57,000 --> 00:34:59,520 Speaker 2: the lysismes were much healthier and the cells were much healthier, 628 00:34:59,520 --> 00:35:01,560 Speaker 2: and so were the and have had a very positive 629 00:35:01,600 --> 00:35:06,439 Speaker 2: outcome in that study. So you know, I yeah, I thought, well, 630 00:35:06,480 --> 00:35:10,239 Speaker 2: it'd be really interesting if someone would test sulforofane in 631 00:35:10,320 --> 00:35:14,560 Speaker 2: a mouse study to see if it could reduce microplastics 632 00:35:14,600 --> 00:35:17,680 Speaker 2: accumulation and mysosomes because they're you know, they're accumulating just 633 00:35:17,719 --> 00:35:22,000 Speaker 2: like these other things do. To get that study done 634 00:35:22,040 --> 00:35:25,640 Speaker 2: would take years. Who's very slow. Someone probably is trying that, 635 00:35:26,200 --> 00:35:28,960 Speaker 2: but I didn't want to wait for that. I thought, well, sulforaphane, 636 00:35:29,000 --> 00:35:30,640 Speaker 2: this is something people take this all the time. There 637 00:35:30,680 --> 00:35:33,959 Speaker 2: are tons of clinical studies showing good things from taking sulforaphane. 638 00:35:34,840 --> 00:35:36,920 Speaker 2: I wonder if it's already doing this in people. I 639 00:35:36,920 --> 00:35:39,520 Speaker 2: wonder if people who are taking this or rejecting microplastics 640 00:35:39,560 --> 00:35:42,799 Speaker 2: out of their cells. So that was the basis for 641 00:35:42,840 --> 00:35:44,560 Speaker 2: this self experiment. I said, I'm going to do it. 642 00:35:44,680 --> 00:35:46,160 Speaker 2: I have a way to measure this. Now there's a 643 00:35:46,239 --> 00:35:49,920 Speaker 2: nice test that is commercially available, and I can see 644 00:35:49,960 --> 00:35:52,400 Speaker 2: exactly what happens in my blood before and after taking 645 00:35:52,400 --> 00:35:56,240 Speaker 2: the supplement and measure what's happening to my microplastic levels. 646 00:35:56,360 --> 00:35:59,800 Speaker 2: And sure enough, after I took a big dose of sulforafane, 647 00:36:00,600 --> 00:36:04,000 Speaker 2: it released many, many millions of microplastic particles from my 648 00:36:04,120 --> 00:36:09,359 Speaker 2: cell wow, and dumped them into my blood. Which that's 649 00:36:09,719 --> 00:36:12,759 Speaker 2: a nice result. Scientifically, it does Okay, it worked, you know, 650 00:36:12,800 --> 00:36:16,799 Speaker 2: the hypothesis is supported by the data. The sulforafane did 651 00:36:16,840 --> 00:36:20,400 Speaker 2: something that liberated the microplastics out of the spells. But 652 00:36:20,480 --> 00:36:22,919 Speaker 2: the other side of that is what happened next? Where 653 00:36:22,960 --> 00:36:25,640 Speaker 2: did they go? And I don't know, I can't answer 654 00:36:25,640 --> 00:36:28,759 Speaker 2: that question for you. I don't know if they went 655 00:36:28,880 --> 00:36:31,840 Speaker 2: back into the same or different cells and just caused 656 00:36:31,960 --> 00:36:35,719 Speaker 2: you know, caused more problems. My hope is that if 657 00:36:35,760 --> 00:36:38,080 Speaker 2: you do something like this, maybe your body has another 658 00:36:38,160 --> 00:36:40,879 Speaker 2: chance to eliminate them. Yes, maybe some of them can 659 00:36:40,960 --> 00:36:43,360 Speaker 2: end up in your urine. We know microplastic particles do 660 00:36:43,480 --> 00:36:46,280 Speaker 2: end up in urine, so is the reason that could happened. 661 00:36:47,160 --> 00:36:50,359 Speaker 2: They also end up in bile, which is a way 662 00:36:50,400 --> 00:36:53,560 Speaker 2: of excreting them through your gut. So it's possible that 663 00:36:53,560 --> 00:36:57,680 Speaker 2: that's happening. But in the absence of a test that 664 00:36:57,719 --> 00:37:01,080 Speaker 2: can test those fluids, I don't have a way to 665 00:37:01,120 --> 00:37:03,880 Speaker 2: answer that question, which I think is an important next 666 00:37:03,920 --> 00:37:06,480 Speaker 2: step for someone to figure out, is if you liberate 667 00:37:06,480 --> 00:37:08,960 Speaker 2: a whole bunch of microplastics like this, where do they go? 668 00:37:09,320 --> 00:37:13,120 Speaker 1: Yeah, yeah, yeah, yeah, and hopefully it's out of the body, 669 00:37:13,280 --> 00:37:19,399 Speaker 1: and the our detoxification process is peas one and feast two. 670 00:37:19,520 --> 00:37:22,400 Speaker 3: Would they have potential to excrete microplastics? 671 00:37:23,200 --> 00:37:26,000 Speaker 2: Yeah, So that's that's one. That's why most people are 672 00:37:26,040 --> 00:37:30,280 Speaker 2: familiar with sulfur or fane is that it's activating these 673 00:37:30,360 --> 00:37:34,200 Speaker 2: metabolic pathways. That's a good thing. What that probably helps 674 00:37:34,200 --> 00:37:38,760 Speaker 2: more with than the plastic particles themselves, are these plasticizers, 675 00:37:38,800 --> 00:37:41,560 Speaker 2: these chemicals that are bound up in the microplastic particles 676 00:37:42,080 --> 00:37:44,600 Speaker 2: things make like this phenol A b p A. People 677 00:37:44,600 --> 00:37:49,160 Speaker 2: are familiar with one. Right, It's probably very helpful for 678 00:37:49,200 --> 00:37:53,440 Speaker 2: eliminating those toxins, probably less helpful for the particles themselves, 679 00:37:53,480 --> 00:37:57,120 Speaker 2: just because our bodies are we have no evolutionary mechanism 680 00:37:57,200 --> 00:37:58,080 Speaker 2: to deal with something like. 681 00:37:58,120 --> 00:38:01,120 Speaker 1: Yeah, we don't even recognize it, right, well, probably probably 682 00:38:01,239 --> 00:38:03,000 Speaker 1: nice of it's bad, but don't know what to do 683 00:38:03,080 --> 00:38:03,600 Speaker 1: with it yet. 684 00:38:04,000 --> 00:38:04,440 Speaker 3: Interesting. 685 00:38:04,480 --> 00:38:08,560 Speaker 2: Yeah, I mean we probably have enzymes in our bodies 686 00:38:08,600 --> 00:38:12,280 Speaker 2: that recognize it as the wrong thing. You know, ourselves 687 00:38:12,280 --> 00:38:14,719 Speaker 2: probably think these are fats or something, because that's what 688 00:38:14,760 --> 00:38:17,720 Speaker 2: they look like. On a molecular level, they look like lipids, 689 00:38:18,880 --> 00:38:22,000 Speaker 2: So it's probably screwing up all sort of lipid metabolism machinery. 690 00:38:22,160 --> 00:38:25,919 Speaker 2: And it's we certainly have no way of naturally eliminating them. 691 00:38:26,000 --> 00:38:27,800 Speaker 2: It's it's it's going to be a push in the 692 00:38:27,880 --> 00:38:28,400 Speaker 2: right direction. 693 00:38:28,960 --> 00:38:32,440 Speaker 1: Yeah, that's a That's an interesting watch this space, isn't it? 694 00:38:33,040 --> 00:38:33,320 Speaker 3: John? 695 00:38:33,440 --> 00:38:38,919 Speaker 1: This has been absolutely fantastic, And I'm completely unscripted as well, 696 00:38:38,960 --> 00:38:42,479 Speaker 1: which is more more impressive that I can just wing 697 00:38:42,640 --> 00:38:45,799 Speaker 1: questions that you with no preparation and you just talk 698 00:38:46,000 --> 00:38:49,280 Speaker 1: off the hip with all of this stuff. So where 699 00:38:49,320 --> 00:38:54,520 Speaker 1: can people go to find out more about you? I 700 00:38:55,280 --> 00:38:57,440 Speaker 1: know you're on LinkedIn, That's where I found you, so, 701 00:38:57,680 --> 00:39:01,280 Speaker 1: but also you write quite a lot. You're on substack, 702 00:39:01,360 --> 00:39:01,680 Speaker 1: don't you. 703 00:39:02,480 --> 00:39:05,839 Speaker 2: Yeah, that's kind of a new platform for me. Yeah. 704 00:39:05,840 --> 00:39:08,520 Speaker 2: My subseac newsletter is called Translation and you can also 705 00:39:08,560 --> 00:39:11,400 Speaker 2: find it by searching my name, and that's you know. 706 00:39:11,640 --> 00:39:13,759 Speaker 2: The plan is for that to become sort of my 707 00:39:13,800 --> 00:39:17,880 Speaker 2: primary channel for articles and maybe some interviews in the 708 00:39:17,880 --> 00:39:19,680 Speaker 2: future and that sort of thing. And I'm a still 709 00:39:19,719 --> 00:39:22,800 Speaker 2: working on a book. Substack will be where I communicate 710 00:39:22,880 --> 00:39:25,600 Speaker 2: updates on that. So they tuned there. 711 00:39:25,680 --> 00:39:30,400 Speaker 1: Yes, how long do you think you are away from publishing? 712 00:39:31,680 --> 00:39:33,319 Speaker 2: Are you early or. 713 00:39:33,280 --> 00:39:34,759 Speaker 1: Have you got a for a bit of You've got 714 00:39:34,880 --> 00:39:36,520 Speaker 1: for a bit of progress made on it. 715 00:39:37,320 --> 00:39:40,760 Speaker 2: I've made some progress. It's going to be heavily depended 716 00:39:40,840 --> 00:39:43,440 Speaker 2: on some contributions from other people too. I'm interviewing a 717 00:39:43,520 --> 00:39:46,239 Speaker 2: number of people to sort of gather content and and 718 00:39:46,360 --> 00:39:48,440 Speaker 2: build out the framework that I'm going to present in 719 00:39:48,480 --> 00:39:50,680 Speaker 2: the book. So it's it's a little ways off still, 720 00:39:50,719 --> 00:39:54,120 Speaker 2: I'd say about a year, but we're getting there. I'd 721 00:39:54,160 --> 00:39:55,759 Speaker 2: love to chat with you sometimes about that. It sounds 722 00:39:55,760 --> 00:39:57,400 Speaker 2: like you have a lot of experience in that space. 723 00:39:57,560 --> 00:39:58,880 Speaker 2: I'm sure I can learn a lot from you. 724 00:39:59,000 --> 00:40:01,440 Speaker 1: So, well, yeah, I've written a couple and I think 725 00:40:01,520 --> 00:40:03,680 Speaker 1: I think the thing I would say is that you're 726 00:40:03,760 --> 00:40:07,919 Speaker 1: never going to get it perfect, that you just keep going, 727 00:40:07,960 --> 00:40:09,640 Speaker 1: oh and there's a little bit now, there's a new 728 00:40:09,680 --> 00:40:12,840 Speaker 1: research studies, like, just just just get it out and 729 00:40:12,920 --> 00:40:16,160 Speaker 1: you can always do an update later on. Because yeah, 730 00:40:16,160 --> 00:40:20,080 Speaker 1: when I've reread my my, my book, my first book, 731 00:40:20,080 --> 00:40:21,719 Speaker 1: I went shit, I'd like to put that and that 732 00:40:21,800 --> 00:40:24,000 Speaker 1: I'm probably going to do a revised edition, and in 733 00:40:24,120 --> 00:40:28,560 Speaker 1: this one, even sending it off to so you go 734 00:40:28,640 --> 00:40:30,920 Speaker 1: through the editing process and then get it back and 735 00:40:30,960 --> 00:40:33,399 Speaker 1: in its final edits, and then they sent me through 736 00:40:33,400 --> 00:40:34,720 Speaker 1: in here's now the layout. 737 00:40:34,760 --> 00:40:36,360 Speaker 3: I want you to check the layout. 738 00:40:36,480 --> 00:40:39,440 Speaker 1: And I'm still wanting to tweak it and add a 739 00:40:39,480 --> 00:40:41,439 Speaker 1: new study that I just read the other day. 740 00:40:41,600 --> 00:40:44,239 Speaker 3: So so don't let perfect be the enemy of grit. 741 00:40:44,600 --> 00:40:46,520 Speaker 2: That good advice. I'll try to remember that. 742 00:40:46,520 --> 00:40:49,360 Speaker 1: That would be definitely my my t But but me 743 00:40:49,560 --> 00:40:51,799 Speaker 1: I I'm certainly going to be following you on on 744 00:40:51,920 --> 00:40:54,440 Speaker 1: sub stacks, So we will put that link into the 745 00:40:54,440 --> 00:40:57,160 Speaker 1: show notes. I'll also put the link into your LinkedIn 746 00:40:57,200 --> 00:41:00,280 Speaker 1: because you've got a lot of interesting articles for anybody 747 00:41:00,320 --> 00:41:02,839 Speaker 1: who's interested in this space. And you know, the thing 748 00:41:02,960 --> 00:41:05,480 Speaker 1: I like about you is that you're not You're not 749 00:41:05,520 --> 00:41:08,880 Speaker 1: out pushing supplements, you're not pushing a product. You're just 750 00:41:09,080 --> 00:41:13,839 Speaker 1: somebody who is a hardcore scientist who's interested in this 751 00:41:13,960 --> 00:41:17,319 Speaker 1: area and has quite a lot of smarts. So it's 752 00:41:17,320 --> 00:41:21,880 Speaker 1: people like you that listeners should be following, not whinkers 753 00:41:21,960 --> 00:41:23,959 Speaker 1: like David Sinclair on. 754 00:41:25,440 --> 00:41:29,680 Speaker 2: So I appreciate that you don't bucking me with the wankers. 755 00:41:31,200 --> 00:41:33,520 Speaker 3: Definitely not. This has been awesome. 756 00:41:33,920 --> 00:41:36,160 Speaker 1: So we'll get those links, we'll put them in the 757 00:41:36,160 --> 00:41:38,839 Speaker 1: show notes, and yeah, good luck on your book, and 758 00:41:38,880 --> 00:41:41,799 Speaker 1: i'd certainly love to have you back on whenever you're 759 00:41:41,800 --> 00:41:44,879 Speaker 1: doing your book, and we'll get it promoted to our listeners. 760 00:41:45,440 --> 00:41:47,879 Speaker 2: Awesome, let's do it. Thanks Paul, it's been great, really,