1 00:00:00,120 --> 00:00:02,960 Speaker 1: The first hand account for this episode features the story 2 00:00:03,000 --> 00:00:06,000 Speaker 1: involving the death of a family member. Some listeners might 3 00:00:06,040 --> 00:00:08,680 Speaker 1: find this upsetting, so please listen with discretion. 4 00:00:10,560 --> 00:00:15,720 Speaker 2: Hi. I'm Tori, and I have familial hypocholesterolemia. I think 5 00:00:15,840 --> 00:00:19,360 Speaker 2: growing up, I always knew my dad was different because 6 00:00:19,440 --> 00:00:23,720 Speaker 2: he walked with a limp and he spoke weirdly. He 7 00:00:23,720 --> 00:00:26,720 Speaker 2: couldn't like write or do anything, but I didn't know why. 8 00:00:27,360 --> 00:00:29,240 Speaker 2: And then I remember when I was ten years old, 9 00:00:29,560 --> 00:00:33,319 Speaker 2: my mom requesting that I get my cholesterol checked at 10 00:00:33,320 --> 00:00:37,080 Speaker 2: a doctor's appointment, and they're like, she's ten. I think 11 00:00:37,560 --> 00:00:40,760 Speaker 2: it was when they sat me down and told me 12 00:00:40,920 --> 00:00:43,440 Speaker 2: that my dad had had a heart attack which turned 13 00:00:43,479 --> 00:00:46,000 Speaker 2: into a stroke when I was a baby, and so 14 00:00:46,120 --> 00:00:49,279 Speaker 2: that's why things were a little different. And then that 15 00:00:49,440 --> 00:00:52,360 Speaker 2: the same thing happened to his father. His father was 16 00:00:52,400 --> 00:00:56,320 Speaker 2: forty five. My dad was forty seven when he had 17 00:00:56,560 --> 00:00:59,600 Speaker 2: his heart attack, and then they told me what causes 18 00:00:59,600 --> 00:01:03,200 Speaker 2: it and why they're worried that I could have it. 19 00:01:03,800 --> 00:01:07,760 Speaker 2: When I was fourteen, my cholesterol was two hundred and 20 00:01:07,760 --> 00:01:12,600 Speaker 2: thirty two, which not good, and they told me, like, oh, 21 00:01:12,760 --> 00:01:15,040 Speaker 2: died an exercise. Come back in a year and it 22 00:01:15,080 --> 00:01:17,959 Speaker 2: was two hundred and thirty one, and so we were like, 23 00:01:18,120 --> 00:01:24,600 Speaker 2: this is something more, it's not just lifestyle. But then 24 00:01:24,640 --> 00:01:28,240 Speaker 2: the pandemic happened and there was like so much going on. 25 00:01:28,640 --> 00:01:32,240 Speaker 2: But I finally got like tested again, and they were like, 26 00:01:32,319 --> 00:01:36,000 Speaker 2: we can't put you on statin unless you have a 27 00:01:36,040 --> 00:01:39,320 Speaker 2: geneticist prove that this is something. So I had to 28 00:01:39,360 --> 00:01:41,399 Speaker 2: go to a geneticist, and I have a fun little 29 00:01:41,480 --> 00:01:45,600 Speaker 2: chart that's like she's missing something. That's now what I 30 00:01:45,680 --> 00:01:48,440 Speaker 2: live with. I'm on statin for the past two years. 31 00:01:48,560 --> 00:01:52,000 Speaker 2: My cholesterol is one ninety seven, still a little high. 32 00:01:52,520 --> 00:01:59,000 Speaker 2: But last July, I was taking a nap and I 33 00:01:59,080 --> 00:02:02,320 Speaker 2: got like shook away by my brother in law and 34 00:02:02,560 --> 00:02:05,080 Speaker 2: I hear like sobbing in the background, and I remember 35 00:02:05,200 --> 00:02:07,200 Speaker 2: being told we have to go to the hospital right now. 36 00:02:07,920 --> 00:02:11,000 Speaker 2: And I check my phone and there's a text from 37 00:02:11,040 --> 00:02:15,800 Speaker 2: my mom that says your sister's heart stopped and the 38 00:02:15,880 --> 00:02:18,520 Speaker 2: name of the hospital that they were at. And so 39 00:02:19,440 --> 00:02:24,040 Speaker 2: we speed over there, and when we get there, the 40 00:02:24,120 --> 00:02:26,240 Speaker 2: chaplain tells us that there was nothing they could do. 41 00:02:26,960 --> 00:02:30,200 Speaker 2: She was only three weeks away from her twenty sixth birthday. 42 00:02:31,240 --> 00:02:34,160 Speaker 2: It was kind of a huge shock and kind of 43 00:02:34,160 --> 00:02:34,520 Speaker 2: be like. 44 00:02:35,680 --> 00:02:40,040 Speaker 3: Oh, this is real, This is like real real. 45 00:02:40,080 --> 00:02:45,280 Speaker 2: You know. So, yeah, that's something that I live with 46 00:02:46,080 --> 00:02:50,480 Speaker 2: and the constant back in my mind. I don't really 47 00:02:50,520 --> 00:02:52,920 Speaker 2: know how to talk about it unless it's like fun 48 00:02:52,960 --> 00:02:56,799 Speaker 2: fact my DNA's miss you know. But it always comes 49 00:02:56,880 --> 00:02:58,760 Speaker 2: up where I'm like, oh, I don't eat red meat. 50 00:02:59,000 --> 00:03:00,359 Speaker 3: Oh I can't have that. 51 00:03:00,800 --> 00:03:03,239 Speaker 2: I can't do this. I have to take my pills. 52 00:03:03,240 --> 00:03:06,160 Speaker 2: I have a plethora of pills that I take every 53 00:03:06,200 --> 00:03:10,160 Speaker 2: morning a night. For a bit, my twin had to 54 00:03:10,200 --> 00:03:13,359 Speaker 2: wear a heart monitor because they now have a FIB. 55 00:03:14,000 --> 00:03:18,320 Speaker 2: I've dazzled it for them. It is something that's discussed openly. 56 00:03:19,120 --> 00:03:21,960 Speaker 2: I think that fear has gotten really largely into my 57 00:03:22,040 --> 00:03:24,560 Speaker 2: mom's head and she's like, you have to take this, 58 00:03:24,560 --> 00:03:27,080 Speaker 2: this and this, and are you doing like your exercises 59 00:03:27,919 --> 00:03:31,880 Speaker 2: and stuff like that, and so I think it is 60 00:03:32,040 --> 00:03:36,760 Speaker 2: just very established that this is a fear. It's a 61 00:03:36,800 --> 00:03:38,560 Speaker 2: huge part of my life, and then it's a huge 62 00:03:38,560 --> 00:03:42,360 Speaker 2: part of my anxiety where it's like this could be it. 63 00:03:42,640 --> 00:03:44,160 Speaker 3: But I think just realizing that. 64 00:03:44,160 --> 00:03:46,920 Speaker 2: This is going to be the rest of my life 65 00:03:47,560 --> 00:03:50,840 Speaker 2: and it may not be as long as you know, 66 00:03:51,880 --> 00:03:56,120 Speaker 2: others and my dad was lucky to survive his heart attack. 67 00:03:56,800 --> 00:03:58,480 Speaker 3: His father and my sister were not. 68 00:03:59,600 --> 00:04:02,760 Speaker 2: So it's just kind of this like constant worry that 69 00:04:03,320 --> 00:04:51,560 Speaker 2: this might happen, and a lot sooner than you think. 70 00:04:52,440 --> 00:04:55,159 Speaker 1: Torri, thank you so much for taking the time to 71 00:04:55,400 --> 00:04:58,839 Speaker 1: chat with us and share your story. We deeply, deeply 72 00:04:58,880 --> 00:05:04,240 Speaker 1: appreciate it. Thank you so much. Hi, I'm Aaron Welsh 73 00:05:04,240 --> 00:05:07,279 Speaker 1: and I'm Erin Alman Updike, And this is this podcast 74 00:05:07,320 --> 00:05:08,360 Speaker 1: Will Kill You And. 75 00:05:08,279 --> 00:05:14,880 Speaker 4: Today we're talking about cholesterol today and next week. 76 00:05:13,800 --> 00:05:15,240 Speaker 3: Because it's kind of a big deal. 77 00:05:15,400 --> 00:05:16,800 Speaker 5: So it's going to take a while. 78 00:05:16,640 --> 00:05:18,400 Speaker 3: A pretty big deal. It's a pretty big deal. 79 00:05:18,880 --> 00:05:19,120 Speaker 2: Yeah. 80 00:05:19,160 --> 00:05:22,680 Speaker 1: We decided to divide this up into two different episodes 81 00:05:22,720 --> 00:05:26,040 Speaker 1: because the first is really about cholesterol, because you know, 82 00:05:26,320 --> 00:05:29,520 Speaker 1: LDL is one just one part of the cholesterol story. 83 00:05:30,360 --> 00:05:33,640 Speaker 1: Athos Gloves is just one part of the story. And 84 00:05:33,720 --> 00:05:35,360 Speaker 1: so that's the story that we're going to be talking 85 00:05:35,360 --> 00:05:37,760 Speaker 1: about this week, So the role of cholesterol in our 86 00:05:37,760 --> 00:05:41,360 Speaker 1: bodies overall and the role of cholesterol in disease. Yeah, 87 00:05:41,720 --> 00:05:45,479 Speaker 1: and then next week we're talking statins, we're. 88 00:05:45,279 --> 00:05:47,000 Speaker 5: Talking what do we do about it? 89 00:05:47,120 --> 00:05:48,000 Speaker 3: What do we do about it? 90 00:05:48,000 --> 00:05:49,920 Speaker 1: It won't it won't just be statins, but it will 91 00:05:49,960 --> 00:05:53,840 Speaker 1: be focused on like how do we lower cholesterol? And 92 00:05:53,920 --> 00:05:55,440 Speaker 1: why would we lower cholesterol? 93 00:05:55,680 --> 00:05:58,400 Speaker 5: Why? Yeah? How low can we go? Just kidding that 94 00:05:58,480 --> 00:05:59,120 Speaker 5: is like a very. 95 00:05:58,960 --> 00:06:02,240 Speaker 1: Small part, but yeah, say there is a low that 96 00:06:02,400 --> 00:06:03,040 Speaker 1: is too low? 97 00:06:03,120 --> 00:06:03,600 Speaker 3: Correct? 98 00:06:03,720 --> 00:06:06,039 Speaker 5: Yeah? Yes, yeah, do you eat it? 99 00:06:06,360 --> 00:06:09,640 Speaker 1: There's there's a lot of good material to cover, so 100 00:06:10,640 --> 00:06:15,080 Speaker 1: let's just get through the rest of this intro is necessary. 101 00:06:15,080 --> 00:06:17,720 Speaker 1: It's not exciting, but like you know, we want to 102 00:06:17,720 --> 00:06:18,440 Speaker 1: get to the media. 103 00:06:18,760 --> 00:06:23,479 Speaker 3: It's quarantine disaster. What are we drinking this week? 104 00:06:23,600 --> 00:06:27,359 Speaker 4: We're drinking plac attack black attack, black attack? Are we 105 00:06:27,400 --> 00:06:29,560 Speaker 4: attacking plaque? Is plaque attacking us? 106 00:06:29,920 --> 00:06:30,680 Speaker 5: A little bit of both? 107 00:06:31,680 --> 00:06:34,719 Speaker 3: Yeah. Plac Attack is a delicious bev. 108 00:06:34,880 --> 00:06:40,000 Speaker 1: It has blueberries and lemon juice and uh sparkling water 109 00:06:40,279 --> 00:06:42,640 Speaker 1: and a little bit of simple syrup and cement to 110 00:06:42,760 --> 00:06:44,840 Speaker 1: make it nice and refresh. 111 00:06:44,600 --> 00:06:44,800 Speaker 2: Yeah. 112 00:06:45,160 --> 00:06:48,320 Speaker 4: Has nothing to do with your cholesterol, but it is delicious. 113 00:06:48,680 --> 00:06:48,880 Speaker 1: Yeah. 114 00:06:49,240 --> 00:06:51,760 Speaker 4: We'll post the full recipe on our website, this podcast, 115 00:06:51,760 --> 00:06:54,360 Speaker 4: Akillia dot com and all of our social media channels too. 116 00:06:54,400 --> 00:06:56,640 Speaker 5: So are you following us there? Because then you could 117 00:06:56,640 --> 00:06:57,640 Speaker 5: see this. 118 00:06:57,960 --> 00:06:59,600 Speaker 3: You could see this, You could see this. 119 00:07:00,920 --> 00:07:02,800 Speaker 1: You also could see this if you go to our 120 00:07:02,839 --> 00:07:05,680 Speaker 1: website This podcast will Kill You dot com, which features 121 00:07:05,720 --> 00:07:09,320 Speaker 1: not just pictures of quarantine, eat recipes and still maybe 122 00:07:09,360 --> 00:07:13,920 Speaker 1: videos from past one's working on that still still, but 123 00:07:14,000 --> 00:07:17,520 Speaker 1: you can also find things like transcripts. You can find 124 00:07:17,760 --> 00:07:21,000 Speaker 1: our show notes. You can find links to bookshop dot org, 125 00:07:21,160 --> 00:07:28,800 Speaker 1: affiliate page, music by Bloodmobile, about us page, merch Patreon, 126 00:07:28,960 --> 00:07:31,520 Speaker 1: submit your first hand account form, contact us form. 127 00:07:32,040 --> 00:07:33,480 Speaker 3: I got there in the end, you did. 128 00:07:33,640 --> 00:07:35,080 Speaker 5: You really nailed it, are and I don't think you 129 00:07:35,120 --> 00:07:35,960 Speaker 5: missed a single thing. 130 00:07:37,320 --> 00:07:41,800 Speaker 3: Thanks for saying that. That's all we got, right. 131 00:07:41,840 --> 00:07:45,400 Speaker 1: We can just yeah, I think so, rate reviews, subscribe, 132 00:07:45,640 --> 00:07:49,120 Speaker 1: do those things, and also I'll just throw it out there, 133 00:07:49,240 --> 00:07:51,720 Speaker 1: you know. Thank you to everyone who has ever suggested 134 00:07:51,720 --> 00:07:52,960 Speaker 1: an episode topic. 135 00:07:53,120 --> 00:07:54,160 Speaker 3: It's really helpful. 136 00:07:54,240 --> 00:07:57,920 Speaker 1: We love getting topic ideas from you all and feedback 137 00:07:57,920 --> 00:07:59,920 Speaker 1: from you all, and so keep it up. 138 00:08:00,160 --> 00:08:02,240 Speaker 5: Yeah, I love it. Also, thank you to everyone who 139 00:08:02,280 --> 00:08:06,200 Speaker 5: has submitted first hand accounts too. We really do read 140 00:08:06,200 --> 00:08:07,880 Speaker 5: them all, and sometimes it might take us, like I 141 00:08:07,880 --> 00:08:09,520 Speaker 5: don't know, two or three years. 142 00:08:09,560 --> 00:08:10,360 Speaker 3: To reach out to you. 143 00:08:10,960 --> 00:08:15,000 Speaker 1: That doesn't even longer us what our record is, yeah, 144 00:08:15,920 --> 00:08:17,040 Speaker 1: more than three years, But. 145 00:08:17,320 --> 00:08:20,080 Speaker 4: Thank you, we really do appreciate it. And like being 146 00:08:20,080 --> 00:08:22,840 Speaker 4: able to hear all of your stories and share your stories. 147 00:08:23,800 --> 00:08:26,960 Speaker 4: It's what makes this podcast in our opinions, So thank you. 148 00:08:27,240 --> 00:08:27,880 Speaker 3: Absolutely. 149 00:08:28,880 --> 00:08:31,679 Speaker 1: Well, let's take a quick break and then get into 150 00:08:31,720 --> 00:08:33,160 Speaker 1: the story of cholesterol. 151 00:08:33,480 --> 00:08:52,000 Speaker 4: Let's my goal for you today is that in the 152 00:08:52,040 --> 00:08:55,400 Speaker 4: next I don't know twenty minutes or so, okay, you 153 00:08:55,520 --> 00:08:59,920 Speaker 4: will understand what on earth cholesterol actually is and what 154 00:09:00,200 --> 00:09:03,480 Speaker 4: our bodies are supposed to be using it for, and 155 00:09:03,520 --> 00:09:07,679 Speaker 4: then what your doctor actually means when they talk about 156 00:09:07,720 --> 00:09:11,440 Speaker 4: your quote unquote cholesterol and why those levels matter for 157 00:09:11,559 --> 00:09:12,040 Speaker 4: your health. 158 00:09:12,320 --> 00:09:14,160 Speaker 5: All right, love this, Okay. 159 00:09:14,920 --> 00:09:19,280 Speaker 4: So, cholesterol itself is a type of lipid molecule, and 160 00:09:19,360 --> 00:09:23,160 Speaker 4: we think of lipids as fats. Technically fats are just triglycerides, 161 00:09:23,200 --> 00:09:26,520 Speaker 4: but whatever think of them as fats. And it's specifically 162 00:09:26,520 --> 00:09:30,679 Speaker 4: a type of lipid called a sterol, like colsterolol. 163 00:09:30,960 --> 00:09:31,360 Speaker 5: Okay. 164 00:09:32,400 --> 00:09:35,840 Speaker 4: Cholesterol is just a string of carbons and hydrogens and 165 00:09:35,880 --> 00:09:39,160 Speaker 4: one oxygen that's formed in these little rings. There's like 166 00:09:39,280 --> 00:09:44,920 Speaker 4: four rings together, so it's a pretty rigid molecule. And 167 00:09:45,320 --> 00:09:50,920 Speaker 4: cholesterol is an essential molecule for all animal life and 168 00:09:51,040 --> 00:09:55,280 Speaker 4: really nearly all kinds of life on Earth need things 169 00:09:55,720 --> 00:10:01,320 Speaker 4: like cholesterol. So plants they don't make cholesterol, really, but 170 00:10:01,400 --> 00:10:03,559 Speaker 4: they do make a whole bunch of other very similar 171 00:10:03,600 --> 00:10:11,880 Speaker 4: compounds called phytosterols phytosterols phytosterols. Anyway, all except booth thank you, 172 00:10:12,200 --> 00:10:17,480 Speaker 4: and fungi make their cell membranes out of something called ergosterol. Okay, 173 00:10:17,880 --> 00:10:22,000 Speaker 4: sterol also, And one of the biggest things that sterols, 174 00:10:22,200 --> 00:10:26,520 Speaker 4: like cholesterol for us animals does is provide shape and 175 00:10:26,640 --> 00:10:31,319 Speaker 4: structure to our cell membranes. So cholesterol molecules are interspersed 176 00:10:31,360 --> 00:10:33,680 Speaker 4: throughout all of our cell membranes, like the outside of 177 00:10:33,679 --> 00:10:36,199 Speaker 4: our cells, which is called our plasma membrane, and then 178 00:10:36,280 --> 00:10:40,400 Speaker 4: also all of our organelles inside of our cells also 179 00:10:40,480 --> 00:10:44,800 Speaker 4: have membranes that also have cholesterol within them. And what 180 00:10:44,880 --> 00:10:48,120 Speaker 4: this does is provide just the right amount of rigidity 181 00:10:48,160 --> 00:10:49,800 Speaker 4: and structure without being. 182 00:10:49,640 --> 00:10:51,720 Speaker 5: Like too solid okay right. 183 00:10:52,480 --> 00:10:56,040 Speaker 4: Cholesterol molecules are also moved back and forth across these 184 00:10:56,040 --> 00:10:59,800 Speaker 4: cell membranes. They interact with proteins both inside and out 185 00:10:59,840 --> 00:11:02,839 Speaker 4: side side membranes, and they serve as signaling molecules that 186 00:11:02,920 --> 00:11:07,720 Speaker 4: helps our cells communicate like within the cells, like between organelles, 187 00:11:07,760 --> 00:11:10,079 Speaker 4: and then also between cells themselves. 188 00:11:10,600 --> 00:11:10,800 Speaker 2: Hmm. 189 00:11:10,960 --> 00:11:13,520 Speaker 3: It's petra a big deal does a lot of things. 190 00:11:13,640 --> 00:11:16,640 Speaker 4: It really does, because I'm not even done the backbone 191 00:11:16,679 --> 00:11:21,040 Speaker 4: of cholesterol. Those ring structures of carbons and hydrogens are 192 00:11:21,080 --> 00:11:25,960 Speaker 4: also the precursors to all of our steroid hormones. So 193 00:11:26,040 --> 00:11:30,559 Speaker 4: that's estrogen, testosterone, cortisol, all of them, and vitamin D 194 00:11:31,240 --> 00:11:34,400 Speaker 4: and our biol acids, which we learned in our gall 195 00:11:34,440 --> 00:11:35,160 Speaker 4: butter episodes. 196 00:11:35,200 --> 00:11:36,559 Speaker 5: Pretty freaking important. 197 00:11:37,559 --> 00:11:42,679 Speaker 4: So suffice to say, we need cholesterol in order to 198 00:11:42,760 --> 00:11:45,280 Speaker 4: be alive, right totally. 199 00:11:45,800 --> 00:11:48,440 Speaker 5: Where do we get it from? Let me tell you. 200 00:11:49,080 --> 00:11:51,679 Speaker 4: We make our own cholesterol, and most all of our 201 00:11:51,720 --> 00:11:54,520 Speaker 4: cells can make cholesterol, like all of our cells are 202 00:11:54,559 --> 00:11:58,239 Speaker 4: capable of it, but it's a pretty energy intensive process. 203 00:11:58,520 --> 00:11:59,640 Speaker 5: So the vast. 204 00:11:59,400 --> 00:12:02,600 Speaker 4: Majority of cholesterol that we actually use in our body 205 00:12:02,640 --> 00:12:03,760 Speaker 4: is made in our liver. 206 00:12:04,679 --> 00:12:05,760 Speaker 5: And then we also get. 207 00:12:05,679 --> 00:12:08,640 Speaker 4: Cholesterol and other fats and fatty acids that we also 208 00:12:08,720 --> 00:12:12,480 Speaker 4: need from our diet, so we absorb it through our 209 00:12:12,520 --> 00:12:16,440 Speaker 4: intestine and then that gets transported to our liver. So 210 00:12:16,840 --> 00:12:20,160 Speaker 4: while our cells can make their own cholesterol, they're generally 211 00:12:20,200 --> 00:12:22,679 Speaker 4: not making quite enough of it, which is why our 212 00:12:22,760 --> 00:12:26,040 Speaker 4: liver makes so much, something like more than fifty percent 213 00:12:26,160 --> 00:12:29,840 Speaker 4: of the cholesterol that our cells use, which means that 214 00:12:30,200 --> 00:12:34,520 Speaker 4: we have to be able to deliver cholesterol from our 215 00:12:34,600 --> 00:12:38,880 Speaker 4: liver and our intestine to everywhere else in our body. Yea, 216 00:12:39,360 --> 00:12:44,320 Speaker 4: and our body uses blood to transport stuff around, okay. 217 00:12:44,240 --> 00:12:46,920 Speaker 3: The super high ways of the body exact. 218 00:12:47,960 --> 00:12:52,520 Speaker 4: And so while cholesterol is integral to life, when it 219 00:12:52,640 --> 00:12:54,960 Speaker 4: ends up causing problems, which is obviously what we're going 220 00:12:55,000 --> 00:12:58,200 Speaker 4: to focus on for this episode, is when that cholesterol 221 00:12:58,280 --> 00:13:02,439 Speaker 4: starts building up in high amounts in places that it shouldn't. 222 00:13:02,960 --> 00:13:05,720 Speaker 4: That is where we can end up seeing cholesterol cause disease. 223 00:13:06,360 --> 00:13:08,680 Speaker 4: And so to understand how that happens, we have to 224 00:13:08,760 --> 00:13:12,280 Speaker 4: understand how it is that our body is moving cholesterol 225 00:13:12,640 --> 00:13:16,319 Speaker 4: around from our liver to our cells, et cetera, and 226 00:13:16,520 --> 00:13:20,240 Speaker 4: how our cells are cycling that cholesterol, because then we 227 00:13:20,240 --> 00:13:23,000 Speaker 4: can understand how this might build up in places. 228 00:13:22,640 --> 00:13:23,280 Speaker 5: That it shouldn't. 229 00:13:24,120 --> 00:13:27,720 Speaker 4: Now, lipids, a key thing to understand about them, including 230 00:13:27,800 --> 00:13:31,280 Speaker 4: cholesterol and all of our other fatty acids, is that 231 00:13:31,320 --> 00:13:35,720 Speaker 4: they are not water soluble. Right, everyone who's tried to 232 00:13:35,760 --> 00:13:38,880 Speaker 4: make salad dressing knows this, and what that means is 233 00:13:38,920 --> 00:13:43,679 Speaker 4: that in order to move cholesterol around our bloodstream, it's 234 00:13:43,760 --> 00:13:46,760 Speaker 4: not just going to be free floating because it won't 235 00:13:46,960 --> 00:13:52,080 Speaker 4: do that well. Yes, So we actually move our cholesterol 236 00:13:52,160 --> 00:13:56,840 Speaker 4: around our body in little packages called lipoproteins. 237 00:13:57,280 --> 00:13:57,640 Speaker 3: Okay. 238 00:13:58,120 --> 00:14:00,560 Speaker 4: Now we have a bunch of different kinds of LiPo proteins, 239 00:14:00,640 --> 00:14:07,320 Speaker 4: lipofat protein, protein, and they all serve different functions. Most 240 00:14:07,360 --> 00:14:10,480 Speaker 4: of our cholesterol is made in our liver, right, So 241 00:14:10,559 --> 00:14:14,600 Speaker 4: our liver takes the cholesterol that it makes along with 242 00:14:14,720 --> 00:14:18,320 Speaker 4: other fatty acids, and connects it to a protein and 243 00:14:18,480 --> 00:14:22,160 Speaker 4: sends it out in a box that we call vl DL, 244 00:14:22,520 --> 00:14:27,400 Speaker 4: or very low density lipoprotein. Right, So it sends that 245 00:14:27,440 --> 00:14:32,280 Speaker 4: package out, and that is the type of cholesterol package 246 00:14:32,800 --> 00:14:36,760 Speaker 4: that our cells are going to end up using. Along 247 00:14:36,800 --> 00:14:40,680 Speaker 4: the way in our bloodstream. This VLDL gets broken down 248 00:14:40,720 --> 00:14:46,400 Speaker 4: a bit and eventually becomes a smaller box of cholesterol 249 00:14:46,680 --> 00:14:52,480 Speaker 4: and other fats that we call LDL or low density lipoproteink. 250 00:14:53,480 --> 00:14:57,880 Speaker 4: So VLDL and LDL these are the lipoproteins. These are 251 00:14:57,960 --> 00:15:02,520 Speaker 4: the packages of cholesterol that our cells are taking up 252 00:15:02,840 --> 00:15:04,800 Speaker 4: and using for cholesterol. 253 00:15:05,240 --> 00:15:07,960 Speaker 1: Okay, So these are the things that our liver is 254 00:15:08,200 --> 00:15:11,280 Speaker 1: making to say, here you go. Here's you said you 255 00:15:11,320 --> 00:15:14,320 Speaker 1: needed some cholesterol. To make your cell membranes or make 256 00:15:14,400 --> 00:15:19,040 Speaker 1: some hormones or whatever. Here's this package starts out VLDL 257 00:15:19,160 --> 00:15:20,520 Speaker 1: turns into LDL R. 258 00:15:20,640 --> 00:15:21,760 Speaker 3: Cells take that up. 259 00:15:21,840 --> 00:15:24,280 Speaker 4: Our cells are like, awesome, I got this. They grab 260 00:15:24,360 --> 00:15:28,119 Speaker 4: onto it, They bring it inside of them, protein, cholesterol, 261 00:15:28,160 --> 00:15:31,880 Speaker 4: fatty acids, and all in a little package right now. 262 00:15:32,120 --> 00:15:35,760 Speaker 4: Once it's in our cells, our cells can either use 263 00:15:35,800 --> 00:15:38,840 Speaker 4: it or they can store it for later if they're 264 00:15:38,840 --> 00:15:41,920 Speaker 4: like I want to have a little extra, or they 265 00:15:42,000 --> 00:15:44,720 Speaker 4: might get way too much of it, and then they 266 00:15:44,760 --> 00:15:47,920 Speaker 4: have to send it back out into our bloodstream. When 267 00:15:48,040 --> 00:15:51,560 Speaker 4: our cells are going to export extra cholesterol, they do 268 00:15:51,640 --> 00:15:56,840 Speaker 4: it in a package called HDL or high density lipoprotein. Okay, 269 00:15:56,960 --> 00:16:00,200 Speaker 4: And that is the cholesterol that's being transported from our 270 00:16:00,240 --> 00:16:03,280 Speaker 4: cells back to our liver so that our liver can 271 00:16:03,320 --> 00:16:07,400 Speaker 4: recycle it or excrete it into bile acids or whatever 272 00:16:07,440 --> 00:16:08,440 Speaker 4: our liver's going to do with it. 273 00:16:09,240 --> 00:16:09,840 Speaker 3: That makes sense. 274 00:16:09,840 --> 00:16:14,200 Speaker 1: So this is LDL being the you know, quote unquote bad. 275 00:16:14,080 --> 00:16:17,000 Speaker 4: Cholesterol unquote bad because this is what's going from our 276 00:16:17,000 --> 00:16:20,600 Speaker 4: liver out to our cells floating around in our bloodstream. 277 00:16:20,760 --> 00:16:25,640 Speaker 4: And it's small and it is sticky, so it can 278 00:16:25,680 --> 00:16:29,320 Speaker 4: get stuck in places in our bloodstream, but it's also 279 00:16:29,320 --> 00:16:31,320 Speaker 4: what our cells need to take it up and use it. 280 00:16:31,760 --> 00:16:35,040 Speaker 4: And then HDL is what's going from ourselves back to 281 00:16:35,120 --> 00:16:36,560 Speaker 4: our liver to be recycled. 282 00:16:38,160 --> 00:16:42,680 Speaker 1: Okay, what's the relationship between maybe this is jumping ahead, 283 00:16:42,920 --> 00:16:46,800 Speaker 1: give it, like the relationship between VLDL and LDL. What 284 00:16:46,920 --> 00:16:51,080 Speaker 1: decides how much your liver is making? If high LDL 285 00:16:51,200 --> 00:16:55,440 Speaker 1: is the problem, how does that? What's that feedback cycle? 286 00:16:55,560 --> 00:16:55,640 Speaker 2: Like? 287 00:16:56,040 --> 00:16:59,040 Speaker 4: Oh, this is really really good question, Aaron. The balance 288 00:16:59,200 --> 00:17:04,320 Speaker 4: between how much of the different types of cholesterol packages 289 00:17:04,560 --> 00:17:07,879 Speaker 4: that we have VLDL, LDL, HDL, whatever it is, It 290 00:17:07,960 --> 00:17:11,760 Speaker 4: depends on a lot of different things. It depends on 291 00:17:11,800 --> 00:17:13,560 Speaker 4: how much your liver is making, and some of that 292 00:17:13,640 --> 00:17:16,359 Speaker 4: is just genetic. Some of that might have to do 293 00:17:16,520 --> 00:17:20,800 Speaker 4: with your dietary factors. We know that like diets that 294 00:17:20,840 --> 00:17:25,600 Speaker 4: are high in fat, especially saturated fat, increase the total 295 00:17:25,640 --> 00:17:28,280 Speaker 4: amount of all these types of cholesterol in your bloodstream, 296 00:17:28,400 --> 00:17:31,920 Speaker 4: all these different cholesterol packages. We don't know why, though. 297 00:17:33,040 --> 00:17:35,760 Speaker 4: It also is going to depend on how good your 298 00:17:35,840 --> 00:17:39,320 Speaker 4: cells are at taking this cholesterol out of your bloodstream. 299 00:17:40,440 --> 00:17:44,560 Speaker 4: And one of the main things that determines that is 300 00:17:44,720 --> 00:17:48,640 Speaker 4: how many what are called LDL receptors you have on 301 00:17:48,720 --> 00:17:54,359 Speaker 4: your cells. These are like velcro myths that grab on 302 00:17:54,680 --> 00:18:00,200 Speaker 4: to those LDL packages of cholesterol really efficiently and pull 303 00:18:00,240 --> 00:18:03,000 Speaker 4: them into the cells so that those cells can use them. 304 00:18:03,400 --> 00:18:06,960 Speaker 4: But if you don't have as many LDL receptors, or 305 00:18:07,000 --> 00:18:10,560 Speaker 4: your LDL receptors are not as functional as someone else is, 306 00:18:11,040 --> 00:18:13,480 Speaker 4: or they just get saturated because you end up with 307 00:18:13,640 --> 00:18:17,080 Speaker 4: so much of that LDL cholesterol package floating around that 308 00:18:17,520 --> 00:18:20,600 Speaker 4: all your receptors are full, then you're gonna have more 309 00:18:20,640 --> 00:18:24,680 Speaker 4: of that LDL cholesterol in your body. And what determines 310 00:18:24,720 --> 00:18:27,520 Speaker 4: how much HDL cholesterol you have is even more unknown 311 00:18:27,720 --> 00:18:29,919 Speaker 4: because there's definitely like a big genetic factor there, but 312 00:18:29,960 --> 00:18:32,080 Speaker 4: we don't know, like why is it that some people's 313 00:18:32,160 --> 00:18:38,119 Speaker 4: cells are exporting more HDL and others aren't. 314 00:18:36,760 --> 00:18:39,359 Speaker 1: And the VLDL LDL is just sort of like that's 315 00:18:39,480 --> 00:18:40,840 Speaker 1: just a natural progression. 316 00:18:41,160 --> 00:18:42,000 Speaker 3: It's a progression. 317 00:18:42,119 --> 00:18:45,359 Speaker 4: Yeah, And again it is going to vary person to person, 318 00:18:46,520 --> 00:18:51,320 Speaker 4: like how quickly that VLDL breaks down into LDL within 319 00:18:51,400 --> 00:18:54,560 Speaker 4: your bloodstream while it's like bumping around. But it's all 320 00:18:54,680 --> 00:18:59,080 Speaker 4: very like person dependent. There's not like a lot of. 321 00:18:58,440 --> 00:19:01,760 Speaker 1: Hsiic is so it's so tricky because yeah, there are 322 00:19:01,800 --> 00:19:04,840 Speaker 1: so many different drivers of LDL. 323 00:19:05,840 --> 00:19:07,760 Speaker 3: Like why why? 324 00:19:07,960 --> 00:19:09,840 Speaker 1: Okay, this is getting in a little bit to the 325 00:19:09,840 --> 00:19:14,080 Speaker 1: evolution question of this, but like why would it be 326 00:19:14,359 --> 00:19:19,679 Speaker 1: more beneficial to have more LDL receptors or fewer receptors? 327 00:19:19,760 --> 00:19:22,439 Speaker 1: Why would it be better to store cholesterol rather than 328 00:19:22,640 --> 00:19:23,320 Speaker 1: utilize it? 329 00:19:23,720 --> 00:19:26,920 Speaker 5: Such great questions. I don't have answers. 330 00:19:30,160 --> 00:19:31,800 Speaker 4: I had a feeling you were going to say, yeah, 331 00:19:31,840 --> 00:19:34,440 Speaker 4: you know, I never do, but no, those are those 332 00:19:34,440 --> 00:19:38,399 Speaker 4: are all really good questions because that is really the 333 00:19:38,400 --> 00:19:40,879 Speaker 4: the determinant of whether cholesterol is going to become a 334 00:19:40,920 --> 00:19:44,800 Speaker 4: problem is if it is building up in the wrong 335 00:19:44,840 --> 00:19:48,600 Speaker 4: places or at the wrong times. And there are actually 336 00:19:48,720 --> 00:19:51,720 Speaker 4: a whole bunch of diseases that I'm not going to 337 00:19:51,720 --> 00:19:56,800 Speaker 4: get into any detail on today that are where cholesterol 338 00:19:56,920 --> 00:19:59,600 Speaker 4: is building up not outside of ourselves, not in our 339 00:19:59,640 --> 00:20:02,840 Speaker 4: bloods stream, but actually inside of our cells. 340 00:20:03,560 --> 00:20:04,800 Speaker 5: So you can. 341 00:20:04,720 --> 00:20:09,480 Speaker 4: Get build up of fats and cholesterol after that cholesterol 342 00:20:09,480 --> 00:20:11,600 Speaker 4: has been taken up into our cells if you can't 343 00:20:11,720 --> 00:20:15,560 Speaker 4: export it right. So for example, there's a genetic disorder 344 00:20:15,600 --> 00:20:19,199 Speaker 4: called Niemen Pick disease. Okay, and this is where you 345 00:20:19,280 --> 00:20:23,720 Speaker 4: have a defective basically exporter molecule, and so you would 346 00:20:23,720 --> 00:20:27,760 Speaker 4: have really low HDL levels, low HDL levels and just 347 00:20:27,840 --> 00:20:31,080 Speaker 4: low cholesterol levels overall because you're still taking up cholesterol 348 00:20:31,680 --> 00:20:33,760 Speaker 4: from your bloodstream, but then you can't get rid of it, 349 00:20:33,800 --> 00:20:37,520 Speaker 4: and now your cells are too full of cholesterol, right, 350 00:20:37,600 --> 00:20:38,960 Speaker 4: so that's going to be really detrimental. 351 00:20:39,240 --> 00:20:40,040 Speaker 3: There are other. 352 00:20:39,880 --> 00:20:42,040 Speaker 4: Ones as well, and I'm not going to get into 353 00:20:42,080 --> 00:20:45,000 Speaker 4: deep detail, because the way that we tend to worry 354 00:20:45,040 --> 00:20:50,280 Speaker 4: about the build up of cholesterol for most people is 355 00:20:50,359 --> 00:20:53,359 Speaker 4: when it builds up in our bloodstream, because that is 356 00:20:53,400 --> 00:20:56,560 Speaker 4: when we see increased risk of a number of different diseases, 357 00:20:56,640 --> 00:21:02,240 Speaker 4: but especially atherosclerosis, which is the fancy name for when 358 00:21:02,400 --> 00:21:05,040 Speaker 4: cholesterol builds up in your blood vessels. 359 00:21:08,000 --> 00:21:15,159 Speaker 1: Okay, so cholesterol meaning these packages, these LDL packages specifically. 360 00:21:14,520 --> 00:21:18,800 Speaker 4: Well, yes, so here's what happens when you have high 361 00:21:18,880 --> 00:21:24,560 Speaker 4: levels of these LDL packages, or not just LDL packages 362 00:21:24,640 --> 00:21:28,680 Speaker 4: but other like VLDL, like other cholesterol packages that are 363 00:21:28,720 --> 00:21:33,879 Speaker 4: not HDL. Okay, okay, non HDL cholesterol. If that's high 364 00:21:33,960 --> 00:21:40,320 Speaker 4: levels in your bloodstream, then sometimes because many of those particles, 365 00:21:40,400 --> 00:21:46,280 Speaker 4: especially LDL packages, are small and sticky in our blood vessels, 366 00:21:46,640 --> 00:21:50,240 Speaker 4: especially maybe at say bifurcations, like somewhere where your blood 367 00:21:50,280 --> 00:21:53,200 Speaker 4: vessels split or a curvature, or a place where you 368 00:21:53,320 --> 00:21:57,520 Speaker 4: got damage for some reason or another. Those molecules can 369 00:21:57,560 --> 00:22:01,639 Speaker 4: get stuck along the walls of our blood vessels and 370 00:22:01,680 --> 00:22:05,760 Speaker 4: they get just underneath the first layer of cells into 371 00:22:05,840 --> 00:22:10,280 Speaker 4: the wall of our blood vessel, and once they are there, 372 00:22:10,960 --> 00:22:14,720 Speaker 4: those packages kind of disintegrate, and then you do have 373 00:22:14,920 --> 00:22:19,800 Speaker 4: just free cholesterol molecules in the wall of our blood vessel, 374 00:22:20,280 --> 00:22:23,439 Speaker 4: and our immune system is like, whoa dude, You're not 375 00:22:23,440 --> 00:22:26,080 Speaker 4: supposed to be here. You're only supposed to be inside 376 00:22:26,119 --> 00:22:29,679 Speaker 4: of cells or attached to your little protein package. What 377 00:22:29,680 --> 00:22:32,159 Speaker 4: the heck are you doing here? So our immune system 378 00:22:32,160 --> 00:22:37,760 Speaker 4: triggers a huge inflammatory response, and then that cycle basically 379 00:22:37,800 --> 00:22:41,720 Speaker 4: can kind of continue. More cholesterol gets stuck because there's 380 00:22:41,760 --> 00:22:46,440 Speaker 4: inflammation in the wall of your blood vessel. That triggers 381 00:22:46,760 --> 00:22:50,440 Speaker 4: more inflammatory markers to come in, and then over time 382 00:22:50,480 --> 00:22:53,919 Speaker 4: you get this build up of actual free cholesterol, not 383 00:22:54,040 --> 00:22:57,960 Speaker 4: just these packages, but like cholesterol floating underneath the wall 384 00:22:58,000 --> 00:23:01,400 Speaker 4: of your blood vessel. Okay, and then as these plaques 385 00:23:01,440 --> 00:23:03,959 Speaker 4: build up and our body is trying to respond to it, 386 00:23:04,040 --> 00:23:07,600 Speaker 4: eventually we build this kind of fibrous cap over it, 387 00:23:08,000 --> 00:23:12,240 Speaker 4: our smooth muscle cells build a cap and eventually they calcify, 388 00:23:12,800 --> 00:23:16,280 Speaker 4: and that's all our bodies response to try and stop 389 00:23:16,359 --> 00:23:19,720 Speaker 4: this thing that's in the walls of our blood vessels 390 00:23:19,800 --> 00:23:21,840 Speaker 4: from taking over essentially. 391 00:23:22,960 --> 00:23:28,800 Speaker 1: Okay, so it's essentially a numbers game in that, you know, 392 00:23:28,880 --> 00:23:32,360 Speaker 1: we can throw things like the LDAL receptors in there, 393 00:23:32,440 --> 00:23:35,440 Speaker 1: we can throw, but ultimately it comes down to how 394 00:23:35,560 --> 00:23:38,760 Speaker 1: much LDL is in your bloodstream that is not being 395 00:23:38,800 --> 00:23:43,040 Speaker 1: taken up by cells for whatever reason, and that just 396 00:23:43,359 --> 00:23:48,880 Speaker 1: is associated with more of these little clogs, these sort 397 00:23:48,880 --> 00:23:51,240 Speaker 1: of sticking to the walls of your arteries, and then 398 00:23:51,720 --> 00:23:57,240 Speaker 1: that cholesterol leaking out into the actual lining, causing inflammation 399 00:23:57,600 --> 00:24:01,120 Speaker 1: and an immune response, which then leads to hard and plaques, 400 00:24:01,160 --> 00:24:04,280 Speaker 1: et cetera, and problems down the line. 401 00:24:04,200 --> 00:24:07,920 Speaker 4: Exact immediately yeah or immediately yeah. So those problems could 402 00:24:07,960 --> 00:24:10,880 Speaker 4: be that the plaque gets so big that it actually 403 00:24:10,920 --> 00:24:14,719 Speaker 4: blocks the vessel entirely, or it could be that the 404 00:24:14,760 --> 00:24:18,120 Speaker 4: plaque gets big and then becomes unstable and a chunk 405 00:24:18,160 --> 00:24:26,159 Speaker 4: of it breaks off, travels farther down and blocks smaller arteries. Okay, Okay, 406 00:24:27,119 --> 00:24:30,880 Speaker 4: that's cholesterol and how it causes athrosclerosis as short as 407 00:24:30,880 --> 00:24:31,399 Speaker 4: I could make it. 408 00:24:31,480 --> 00:24:37,080 Speaker 1: Their tell me about the relationship between LDL and things 409 00:24:37,160 --> 00:24:41,879 Speaker 1: like age. 410 00:24:40,000 --> 00:24:41,439 Speaker 3: Things like diet. 411 00:24:41,480 --> 00:24:44,680 Speaker 1: I know you mentioned saturated fats, but like and you said, 412 00:24:44,680 --> 00:24:49,240 Speaker 1: we don't know the mechanism. And then also some hard 413 00:24:49,320 --> 00:24:53,120 Speaker 1: numbers here, like what levels are we talking about and 414 00:24:53,720 --> 00:24:57,719 Speaker 1: what is important to consider? Like what is that if 415 00:24:57,760 --> 00:25:02,320 Speaker 1: you have a high LDL is that a snapshot in time? 416 00:25:02,400 --> 00:25:03,160 Speaker 3: How long has. 417 00:25:03,080 --> 00:25:04,880 Speaker 5: It been high? 418 00:25:04,920 --> 00:25:05,080 Speaker 2: Oh? 419 00:25:05,119 --> 00:25:08,840 Speaker 4: These are really fun questions. So yeah, in general, your 420 00:25:09,040 --> 00:25:11,600 Speaker 4: total amount of cholesterol, and when we're measuring your total cholesterol, 421 00:25:11,640 --> 00:25:14,280 Speaker 4: we're measuring all these different types of packages. Right, We're 422 00:25:14,320 --> 00:25:17,040 Speaker 4: measuring the HDL packages, We're measuring the LDL packages, We're 423 00:25:17,040 --> 00:25:20,320 Speaker 4: measuring all the packages. It is going to go up 424 00:25:20,400 --> 00:25:21,200 Speaker 4: as we get older. 425 00:25:21,800 --> 00:25:23,119 Speaker 5: Why, I don't know. 426 00:25:24,680 --> 00:25:27,240 Speaker 4: Are is it because our LDL receptors that are taking 427 00:25:27,280 --> 00:25:31,480 Speaker 4: this up are getting less efficient or not being recycled 428 00:25:31,560 --> 00:25:34,080 Speaker 4: as easily. I don't have a perfect answer for you, 429 00:25:34,400 --> 00:25:38,520 Speaker 4: but cholesterol does go up as we get older. So 430 00:25:38,600 --> 00:25:42,439 Speaker 4: that is one of the biggest risk factors for atherosclerosis 431 00:25:42,440 --> 00:25:45,760 Speaker 4: in general, is just age, and we can't do anything 432 00:25:45,760 --> 00:25:51,080 Speaker 4: about that. You also asked about diet and other things 433 00:25:51,080 --> 00:25:54,640 Speaker 4: that are going to influence it. Diet can have and 434 00:25:54,640 --> 00:26:01,640 Speaker 4: not just diet, also like physical activity levels and what 435 00:26:01,920 --> 00:26:06,400 Speaker 4: types of especially fat, so saturated fat versus unsaturated fat, 436 00:26:06,440 --> 00:26:10,480 Speaker 4: versus dietary cholesterol versus how many carbohydrates you're getting. All 437 00:26:10,560 --> 00:26:15,639 Speaker 4: of that is going to affect your body's cholesterol levels 438 00:26:15,640 --> 00:26:19,679 Speaker 4: and all the different ratios of these different packages that 439 00:26:19,720 --> 00:26:25,080 Speaker 4: we have. And we don't fully understand the exact mechanisms 440 00:26:25,080 --> 00:26:28,280 Speaker 4: of how this happens, but what we do know is 441 00:26:28,320 --> 00:26:33,280 Speaker 4: that diets that are higher in saturated fats tend to 442 00:26:33,520 --> 00:26:37,960 Speaker 4: increase both your total amount of cholesterol and specifically your 443 00:26:38,080 --> 00:26:39,600 Speaker 4: LDL cholesterol levels. 444 00:26:40,920 --> 00:26:43,919 Speaker 5: Okay, but not your HDL cholesterol levels. 445 00:26:44,359 --> 00:26:49,320 Speaker 1: Your body maintains a fairly consistent ability to produce HDL, 446 00:26:50,560 --> 00:26:54,280 Speaker 1: and so HDL is independent of LDL levels. 447 00:26:55,840 --> 00:27:00,960 Speaker 4: Yeah, okay, Yeah, they're not directly connected. There are things 448 00:27:01,000 --> 00:27:05,240 Speaker 4: that you can do that will sort of shift their proportions, right. 449 00:27:06,000 --> 00:27:09,080 Speaker 4: Increasing physical activity is actually one of those that ends 450 00:27:09,160 --> 00:27:12,920 Speaker 4: up increasing the amount of HDL and lowering the amount 451 00:27:12,960 --> 00:27:16,040 Speaker 4: of LDL, But there are lots of other things that 452 00:27:16,160 --> 00:27:19,160 Speaker 4: might just affect one versus the other. HDL is one 453 00:27:19,160 --> 00:27:21,120 Speaker 4: of the harder ones, because it's just really we don't 454 00:27:21,160 --> 00:27:24,280 Speaker 4: fully understand, like how do we we know that having 455 00:27:24,560 --> 00:27:30,000 Speaker 4: higher levels of HDL is protective against heart disease, right, 456 00:27:30,320 --> 00:27:36,120 Speaker 4: but we don't know why exactly, We don't know exactly 457 00:27:36,160 --> 00:27:38,439 Speaker 4: what levels it's at, and we don't really have a 458 00:27:38,520 --> 00:27:43,400 Speaker 4: lot to do to try and increase somebody's HDL for example. 459 00:27:44,280 --> 00:27:46,119 Speaker 5: Okay, is that interesting? 460 00:27:46,400 --> 00:27:50,679 Speaker 4: And so go ahead, and you asked about hard numbers, yes, right, yes, yes, yes, 461 00:27:50,840 --> 00:27:53,200 Speaker 4: Now these are going to depend a little bit on 462 00:27:53,680 --> 00:27:55,920 Speaker 4: which guidelines that you're looking at and things like that. 463 00:27:56,200 --> 00:28:00,679 Speaker 4: But like right now, the general can censis is that 464 00:28:00,920 --> 00:28:05,280 Speaker 4: quote unquote ideal levels of LDL cholesterol would be less 465 00:28:05,280 --> 00:28:09,399 Speaker 4: than one hundred milligrams per deestolator in your blood. Okay, 466 00:28:09,680 --> 00:28:11,720 Speaker 4: does that mean that if you have more than one hundred, 467 00:28:11,760 --> 00:28:13,840 Speaker 4: you're going to have plaque build up and you're going 468 00:28:13,920 --> 00:28:16,719 Speaker 4: to have a high risk of heart attack? No, absolutely not. 469 00:28:17,680 --> 00:28:21,439 Speaker 4: But we know that levels above a hundred are associated 470 00:28:21,440 --> 00:28:24,399 Speaker 4: with higher risk than levels below one hundred, and we 471 00:28:24,520 --> 00:28:28,960 Speaker 4: know that it's not quite like a linear relationship, but 472 00:28:29,240 --> 00:28:34,240 Speaker 4: it is definitely an increasing risk with increasing LDL levels 473 00:28:34,440 --> 00:28:38,280 Speaker 4: above one hundred. Yes, okay, So especially as those levels 474 00:28:38,320 --> 00:28:40,959 Speaker 4: get to be above one hundred and sixty or one 475 00:28:41,080 --> 00:28:44,920 Speaker 4: hundred and ninety milligrams per deestolator, then we are looking 476 00:28:44,960 --> 00:28:48,200 Speaker 4: at that is considered a very high level of LDL 477 00:28:48,240 --> 00:28:49,160 Speaker 4: in the bloodstream. 478 00:28:49,360 --> 00:28:49,680 Speaker 3: Okay. 479 00:28:50,560 --> 00:28:53,320 Speaker 4: And total cholesterol again, it's going to vary. Usually under 480 00:28:53,360 --> 00:28:56,640 Speaker 4: two hundred or even under one hundred and sixty would 481 00:28:56,640 --> 00:29:00,800 Speaker 4: be considered ideal total cholesterol. That's going to be again 482 00:29:00,840 --> 00:29:03,520 Speaker 4: a measure of your LDLs, your HDLs, and all the 483 00:29:03,560 --> 00:29:05,880 Speaker 4: other types of lipoprotein cholesterol packages. 484 00:29:06,760 --> 00:29:07,640 Speaker 3: Okay, okay. 485 00:29:08,600 --> 00:29:12,320 Speaker 1: And so when people talk about lifestyle modifications for managing 486 00:29:12,360 --> 00:29:16,960 Speaker 1: cholesterol levels, is that mostly geared towards decreasing LDL with 487 00:29:17,280 --> 00:29:20,360 Speaker 1: the kind of beneficial side effect of also hopefully increasing 488 00:29:20,560 --> 00:29:24,360 Speaker 1: HDL if it's something like exercise or certain types of 489 00:29:24,360 --> 00:29:26,720 Speaker 1: food that have an impact on both. 490 00:29:26,560 --> 00:29:29,720 Speaker 4: That's exactly what it is. Yes, Yeah, it's all about 491 00:29:29,800 --> 00:29:34,360 Speaker 4: dietary interventions, so decreasing saturated fats, increasing whole grains and 492 00:29:34,440 --> 00:29:38,160 Speaker 4: plant based proteins that have higher amounts of unsaturated fats, 493 00:29:39,000 --> 00:29:41,000 Speaker 4: and then increasing physical activity. 494 00:29:42,160 --> 00:29:42,480 Speaker 2: Okay. 495 00:29:42,880 --> 00:29:48,360 Speaker 4: Now, atherosclerosis or heart disease, cardiovascular disease, which are not 496 00:29:48,440 --> 00:29:50,840 Speaker 4: all exactly the same thing, but I'm using them interchangeably. 497 00:29:52,600 --> 00:29:55,160 Speaker 4: That is not the only thing that's associated with high 498 00:29:55,280 --> 00:29:58,240 Speaker 4: levels of cholesterol or high levels of LDL cholesterol. 499 00:29:58,480 --> 00:29:58,600 Speaker 2: Right. 500 00:29:59,520 --> 00:30:01,800 Speaker 4: There are a lot of other things that are associated. 501 00:30:01,800 --> 00:30:04,160 Speaker 4: And even when we hear the term cardiovascular, you might 502 00:30:04,200 --> 00:30:07,240 Speaker 4: think that's only your heart, And yes, I'm talking about 503 00:30:07,240 --> 00:30:09,720 Speaker 4: heart attack, I'm talking about heart disease, but I'm also 504 00:30:09,760 --> 00:30:13,800 Speaker 4: talking about stroke. I'm also talking about chronic kidney disease, 505 00:30:14,320 --> 00:30:19,000 Speaker 4: peripheral artery disease, and there's a whole range of other 506 00:30:19,080 --> 00:30:23,440 Speaker 4: diseases that the more that we look for associations between 507 00:30:23,560 --> 00:30:27,040 Speaker 4: high levels of LDL and other diseases, we find them 508 00:30:27,320 --> 00:30:31,520 Speaker 4: liver disease. There's also strong associations between certain types of 509 00:30:31,560 --> 00:30:36,960 Speaker 4: lipoproteins and an increased risk of Alzheimer's disease. And even 510 00:30:37,040 --> 00:30:40,280 Speaker 4: though that's only like a strong association with one type 511 00:30:40,400 --> 00:30:44,600 Speaker 4: of this like lipoprotein cholesterol package, it does look like 512 00:30:44,880 --> 00:30:48,880 Speaker 4: lowering total amounts of LDL cholesterol can also lower the 513 00:30:49,000 --> 00:30:53,600 Speaker 4: risk of Alzheimer's disease. Right, So there are these other associations. 514 00:30:53,640 --> 00:30:56,200 Speaker 4: There's some thought that there's associations with cancer, and we 515 00:30:56,320 --> 00:30:58,479 Speaker 4: just don't know the exact mechanisms. 516 00:30:57,960 --> 00:30:58,440 Speaker 5: Of all of this. 517 00:30:59,600 --> 00:31:03,040 Speaker 4: But high levels of LDL cholesterol are associated with this 518 00:31:03,200 --> 00:31:08,760 Speaker 4: increased inflammatory response and this build up of cholesterol, especially 519 00:31:08,840 --> 00:31:14,480 Speaker 4: in the arteries in your blood vessels. So that's cholesterol, Aaron, 520 00:31:14,840 --> 00:31:17,520 Speaker 4: There's a lot more detail that I gotta be done. 521 00:31:17,600 --> 00:31:17,760 Speaker 5: You know. 522 00:31:22,040 --> 00:31:27,360 Speaker 3: It's a strange It's a strange beast. Yeah, yeah, yeah, So. 523 00:31:27,320 --> 00:31:30,080 Speaker 5: Can you tell me? You know, I don't even know. 524 00:31:30,160 --> 00:31:31,000 Speaker 5: I don't even know. 525 00:31:31,360 --> 00:31:35,520 Speaker 1: You don't even know. You know, We'll find somewhere again. 526 00:31:35,680 --> 00:31:57,120 Speaker 1: I think I can. I can make that happen. Cholesterol 527 00:31:57,400 --> 00:32:02,760 Speaker 1: is vital. It is an essential part of all animal life. 528 00:32:02,800 --> 00:32:08,360 Speaker 1: Without cholesterol, we wouldn't survive. Yet, these crucial functions have 529 00:32:08,480 --> 00:32:12,720 Speaker 1: been overshadowed by its role in the development of cardiovascular disease. 530 00:32:14,120 --> 00:32:18,920 Speaker 1: You could say that cholesterol is the Bill Buckner of 531 00:32:18,960 --> 00:32:19,760 Speaker 1: cell biology. 532 00:32:20,440 --> 00:32:21,320 Speaker 5: Bill Buckner. 533 00:32:21,640 --> 00:32:22,440 Speaker 3: Do you know who that is? 534 00:32:22,560 --> 00:32:24,280 Speaker 5: Why do I know that names? 535 00:32:24,560 --> 00:32:25,800 Speaker 3: I'm so embarrassed. 536 00:32:27,040 --> 00:32:32,120 Speaker 1: Okay, okay, okay, this basketball reference baseball. This might be 537 00:32:32,160 --> 00:32:36,560 Speaker 1: a stretch, yeah, okay, But once I landed on it, 538 00:32:36,640 --> 00:32:37,960 Speaker 1: I was like, I can't let this go. 539 00:32:38,080 --> 00:32:40,360 Speaker 3: I'm going to force this analogy. 540 00:32:40,800 --> 00:32:44,479 Speaker 1: Okay, So Buckner, Bill Buckner was a major League baseball player, 541 00:32:44,680 --> 00:32:48,120 Speaker 1: really a well rounded player, had over twenty seven hundred 542 00:32:48,200 --> 00:32:52,959 Speaker 1: hits in over his career, which spanned over twenty one seasons. 543 00:32:52,600 --> 00:32:54,080 Speaker 3: Which is huge. 544 00:32:54,360 --> 00:32:56,760 Speaker 1: Really, it was someone that you wanted on your team. Okay, 545 00:32:56,880 --> 00:33:01,080 Speaker 1: great player. But in the nineteen eighty six World Series, 546 00:33:01,360 --> 00:33:04,720 Speaker 1: while playing first base for the Red Sox, it was 547 00:33:04,760 --> 00:33:07,960 Speaker 1: the bottom of the tenth inning and in Game six, 548 00:33:08,560 --> 00:33:11,320 Speaker 1: and he missed a ground ball. It went right through 549 00:33:11,360 --> 00:33:16,320 Speaker 1: his legs, brutal right. The error clinched the game for 550 00:33:16,360 --> 00:33:18,880 Speaker 1: the Mets, and they went on to win the next game, 551 00:33:18,960 --> 00:33:22,840 Speaker 1: making them World Series champs. And this is like Boston, right, 552 00:33:22,920 --> 00:33:25,400 Speaker 1: So like Boston sports fans are known to be incredibly 553 00:33:25,400 --> 00:33:27,280 Speaker 1: forgiving and understanding. 554 00:33:28,720 --> 00:33:32,560 Speaker 3: They will never forget. Yeah. No, I think. 555 00:33:32,400 --> 00:33:36,160 Speaker 1: After the Red Sox won in the two thousands, there 556 00:33:36,240 --> 00:33:38,760 Speaker 1: was like, you know, okay, we forgive. 557 00:33:38,440 --> 00:33:41,560 Speaker 3: You Bill Buckner type of a thing. But it only 558 00:33:41,600 --> 00:33:42,720 Speaker 3: took almost twenty years. 559 00:33:42,880 --> 00:33:45,000 Speaker 4: I have to know, Aarin, did you like already know 560 00:33:45,080 --> 00:33:46,200 Speaker 4: this about Bill Buckner? 561 00:33:46,240 --> 00:33:52,520 Speaker 1: How did you I have like I have felt so compassion, 562 00:33:52,920 --> 00:33:55,239 Speaker 1: such compassion for Bill Buckner. I think I saw it 563 00:33:55,280 --> 00:33:57,320 Speaker 1: on some sports special when I was like in high 564 00:33:57,360 --> 00:33:59,920 Speaker 1: school or something, and I was just like, I was 565 00:34:00,080 --> 00:34:04,680 Speaker 1: heartbroken because he was so reviled after this happened, and 566 00:34:04,720 --> 00:34:06,320 Speaker 1: it was one mistake first of all, I mean, I 567 00:34:06,320 --> 00:34:08,280 Speaker 1: could go into this. It was also like the pitchers 568 00:34:08,320 --> 00:34:10,600 Speaker 1: had already blown the lead. It was game six, so 569 00:34:10,600 --> 00:34:12,799 Speaker 1: they still had one more game that they could have won. 570 00:34:13,120 --> 00:34:15,480 Speaker 1: But somehow all of this came down to Bill Buckner. 571 00:34:15,600 --> 00:34:17,839 Speaker 5: You need it, you need a guy do you need Yeah? 572 00:34:18,040 --> 00:34:19,239 Speaker 3: He was a scapegoat for sure. 573 00:34:21,080 --> 00:34:24,799 Speaker 1: That's so that that missed ball, the Buckner play, it 574 00:34:24,920 --> 00:34:29,040 Speaker 1: overshadowed his otherwise really impressive career, and it's mostly what 575 00:34:29,200 --> 00:34:34,400 Speaker 1: he's known for. So Bill Buckner Cholesterol, same thing. 576 00:34:34,560 --> 00:34:35,040 Speaker 2: Righting. 577 00:34:40,000 --> 00:34:44,120 Speaker 1: Both you know, admirable should be appreciated for more than 578 00:34:44,160 --> 00:34:48,600 Speaker 1: they are well rounded, but they're overshadowed by this bad reputation. 579 00:34:51,080 --> 00:34:53,840 Speaker 1: The only difference between the two that I could descern 580 00:34:54,280 --> 00:34:57,120 Speaker 1: is that Bill Buckner is undeserving of the hate that 581 00:34:57,160 --> 00:35:00,960 Speaker 1: he got, whereas cholesterol has earned it's bad reputation, at 582 00:35:01,040 --> 00:35:02,319 Speaker 1: least in certain contexts. 583 00:35:02,400 --> 00:35:05,920 Speaker 5: I love this. This is the I will never forget 584 00:35:06,360 --> 00:35:07,279 Speaker 5: this analogy is. 585 00:35:07,239 --> 00:35:09,360 Speaker 3: So glad cholesterol and Bill Buckner. 586 00:35:09,480 --> 00:35:11,360 Speaker 1: I don't think it's going to help anyone studying for 587 00:35:11,400 --> 00:35:19,160 Speaker 1: a test, but hopefully it'll bring more appreciation for Bill Buckner. Okay, so, 588 00:35:19,200 --> 00:35:20,839 Speaker 1: but today what I want to do is tell you 589 00:35:20,920 --> 00:35:26,520 Speaker 1: how cholesterol earned this bad reputation. Our story begins around 590 00:35:26,560 --> 00:35:29,280 Speaker 1: two and a half billion years ago with the Great 591 00:35:29,320 --> 00:35:30,560 Speaker 1: Oxygenation Event. 592 00:35:30,960 --> 00:35:33,160 Speaker 4: Oh, that's not the first time that we've gotten to 593 00:35:33,200 --> 00:35:35,920 Speaker 4: start this podcast this way, and I just love it. 594 00:35:35,920 --> 00:35:36,719 Speaker 3: It's it is. 595 00:35:36,800 --> 00:35:38,719 Speaker 1: I'm like, man, I really we should just do an 596 00:35:38,719 --> 00:35:43,600 Speaker 1: episode on that. I think it was our hemochromatosis episode 597 00:35:43,680 --> 00:35:45,520 Speaker 1: when I talked about it in the Importance of Iron. 598 00:35:46,200 --> 00:35:48,120 Speaker 3: Yeah, but it more recently. 599 00:35:48,440 --> 00:35:50,759 Speaker 5: Yeah, don't know. 600 00:35:50,880 --> 00:35:51,239 Speaker 2: Don't know. 601 00:35:52,080 --> 00:35:55,080 Speaker 1: But what happened during the Great Oxygenation Event? There was 602 00:35:55,120 --> 00:35:57,960 Speaker 1: a sharp sudden rise Booker. 603 00:35:58,120 --> 00:35:58,720 Speaker 5: Was it Boogers? 604 00:35:58,760 --> 00:35:58,880 Speaker 2: Oh? 605 00:35:59,239 --> 00:36:01,759 Speaker 3: I think it was me. Might have been that sounds right. 606 00:36:01,840 --> 00:36:02,440 Speaker 5: Yeah, I don't know. 607 00:36:02,960 --> 00:36:05,080 Speaker 3: Sorry, whatever however it happened. 608 00:36:05,080 --> 00:36:08,279 Speaker 1: But there was a sharp sudden rise in oxygen in 609 00:36:08,320 --> 00:36:12,279 Speaker 1: the atmosphere that was caused by photosynthesizing cyanobacteria, and it 610 00:36:12,320 --> 00:36:15,880 Speaker 1: had an enormous impact on life on this planet. Although 611 00:36:15,920 --> 00:36:19,359 Speaker 1: we air breathers don't think of oxygen as harmful, it's 612 00:36:19,360 --> 00:36:22,480 Speaker 1: actually quite toxic if you're not used to it, which 613 00:36:22,520 --> 00:36:25,400 Speaker 1: at the time of the event described most of the 614 00:36:25,440 --> 00:36:28,840 Speaker 1: anaerobes that were living on Earth, and so in response 615 00:36:28,880 --> 00:36:32,200 Speaker 1: to the accumulating oxygen, many organisms died out like it 616 00:36:32,239 --> 00:36:35,160 Speaker 1: was probably one of the greatest extinction events in our 617 00:36:35,200 --> 00:36:40,879 Speaker 1: planet's history. But other organisms evolved mechanisms that protected them 618 00:36:40,960 --> 00:36:45,560 Speaker 1: against oxidative damage, or they developed strategies to take advantage 619 00:36:45,600 --> 00:36:48,880 Speaker 1: of this molecule. This new molecule, like, for instance, aerobic 620 00:36:48,920 --> 00:36:55,160 Speaker 1: respiration cholesterol synthesis, which requires oxygen, evolved after the Great 621 00:36:55,160 --> 00:37:00,839 Speaker 1: Oxygenation Event, and it dramatically changed things. So you you 622 00:37:00,880 --> 00:37:04,120 Speaker 1: touched on this a bit, but in those early eukaryotes, 623 00:37:04,320 --> 00:37:08,320 Speaker 1: cholesterol was incorporated into cell membranes, which made for more 624 00:37:08,520 --> 00:37:13,120 Speaker 1: stable and less permeable barriers, protected them from oxydative stress, 625 00:37:13,680 --> 00:37:17,920 Speaker 1: It allowed them to signal across cells within cells, and 626 00:37:17,960 --> 00:37:22,000 Speaker 1: it just kind of helped to organize things, which ultimately 627 00:37:22,080 --> 00:37:26,839 Speaker 1: allowed for greater complexity, even multicellularity, because then you're having like, oh, 628 00:37:26,840 --> 00:37:28,719 Speaker 1: here's a little organelle that I can have, here's a 629 00:37:28,719 --> 00:37:32,080 Speaker 1: little whatever. You're not doing open floor concept anymore. We 630 00:37:32,160 --> 00:37:35,120 Speaker 1: are walling off, walling ourselves off. 631 00:37:36,400 --> 00:37:36,720 Speaker 3: Off. 632 00:37:37,560 --> 00:37:42,320 Speaker 1: So now establishing that so now fast forwarding to humans. 633 00:37:42,800 --> 00:37:45,280 Speaker 1: By the time that our species came onto the scene, 634 00:37:45,400 --> 00:37:48,839 Speaker 1: cholesterol synthesis had been around for billions of years, and 635 00:37:48,960 --> 00:37:53,440 Speaker 1: the uses of cholesterol had expanded, became a precursor for 636 00:37:53,520 --> 00:37:57,920 Speaker 1: hormones involved in stress reproduction metabolism. It was essential for 637 00:37:57,960 --> 00:38:01,279 Speaker 1: staying warm as temperatures drop, and helped to provide enough 638 00:38:01,400 --> 00:38:04,760 Speaker 1: energy for foraging. It was involved a lot in energy balance, 639 00:38:05,680 --> 00:38:08,640 Speaker 1: and we weren't just making it ourselves. We were also 640 00:38:09,080 --> 00:38:11,359 Speaker 1: getting it from our diet, which helped to free up 641 00:38:11,440 --> 00:38:15,240 Speaker 1: energy that could be used for cognitive processing and social behavior. 642 00:38:16,560 --> 00:38:19,759 Speaker 1: Being able to hold on to cholesterol that we got 643 00:38:19,800 --> 00:38:23,520 Speaker 1: in our diets was really beneficial, particularly because food could 644 00:38:23,600 --> 00:38:28,000 Speaker 1: become scarce, and so in some populations living in certain 645 00:38:28,239 --> 00:38:33,600 Speaker 1: environments and under certain food availabilities, traits emerged that altered 646 00:38:33,640 --> 00:38:37,759 Speaker 1: the ways that our bodies dealt with cholesterol. So, for instance, 647 00:38:38,120 --> 00:38:41,360 Speaker 1: it's thought that like being able to utilize fats rapidly 648 00:38:41,400 --> 00:38:44,640 Speaker 1: and efficiently would have been really helpful in cold environments 649 00:38:44,680 --> 00:38:46,759 Speaker 1: when you needed to keep yourself warm and have enough 650 00:38:46,840 --> 00:38:49,560 Speaker 1: energy for foraging, and so there might have been a 651 00:38:49,600 --> 00:38:54,800 Speaker 1: particular pattern of cholesterol regulation that emerged in the people 652 00:38:54,840 --> 00:38:59,439 Speaker 1: living under these conditions interesting, right, And so it's sort 653 00:38:59,480 --> 00:39:03,200 Speaker 1: of thought that, like the way today that we regulate 654 00:39:03,280 --> 00:39:06,799 Speaker 1: cholesterol would have been very helpful in the past, but 655 00:39:07,600 --> 00:39:10,879 Speaker 1: in today's context, it's not really serving us well, right, 656 00:39:10,920 --> 00:39:13,359 Speaker 1: faced with these same challenges most of the time. 657 00:39:13,600 --> 00:39:16,280 Speaker 4: Well, and we just also have exposure to much higher 658 00:39:16,400 --> 00:39:20,120 Speaker 4: levels of dietary facts and things that we would not 659 00:39:20,160 --> 00:39:24,520 Speaker 4: have had exposure to thousands, hundreds of thousands of years ago, exactly. 660 00:39:24,640 --> 00:39:27,080 Speaker 1: Yeah, yeah, And so it's again sort of like this 661 00:39:27,280 --> 00:39:31,120 Speaker 1: context specific, something that evolved that was really beneficial under 662 00:39:31,120 --> 00:39:35,759 Speaker 1: one context in modern times maybe isn't as much, you know, 663 00:39:36,120 --> 00:39:39,040 Speaker 1: much much of the world lives a sedentary lifestyle and 664 00:39:39,120 --> 00:39:43,759 Speaker 1: consumes a diet rich in animal fats, saturated fats, and sugars, 665 00:39:43,840 --> 00:39:45,799 Speaker 1: where these types of foods are the ones that are 666 00:39:45,800 --> 00:39:49,319 Speaker 1: the most readily available. And so given that the most 667 00:39:49,400 --> 00:39:52,799 Speaker 1: damaging impacts of high cholesterol tend to happen later in 668 00:39:52,840 --> 00:39:55,759 Speaker 1: our life, things like heart attack and stroke, it's not 669 00:39:56,160 --> 00:39:59,160 Speaker 1: really surprising that high cholesterol seems to be a problem 670 00:39:59,320 --> 00:40:01,439 Speaker 1: for so many of us, right, It's just the sort 671 00:40:01,480 --> 00:40:06,720 Speaker 1: of constellation of different factors going on, right. But again, 672 00:40:07,000 --> 00:40:10,480 Speaker 1: our relationship with cholesterol. You can't really paint it with 673 00:40:10,520 --> 00:40:14,239 Speaker 1: a broad brush. It's super complicated, both at a population 674 00:40:14,440 --> 00:40:18,040 Speaker 1: level as well as an individual level. Context really does 675 00:40:18,120 --> 00:40:23,560 Speaker 1: matter with cholesterol, and this rich inner life of cholesterol 676 00:40:23,800 --> 00:40:26,960 Speaker 1: is what makes it so challenging to understand and to 677 00:40:27,040 --> 00:40:31,759 Speaker 1: communicate its health impacts. As important as cholesterol is in 678 00:40:31,880 --> 00:40:36,759 Speaker 1: maintaining healthy physiology, it's also responsible for some major issues 679 00:40:37,480 --> 00:40:41,719 Speaker 1: and scientists have suspected this darker side of cholesterol for 680 00:40:41,840 --> 00:40:47,319 Speaker 1: over a century. Wow yeah, So since its discovery in 681 00:40:47,560 --> 00:40:52,960 Speaker 1: the late seventeen hundreds and it's naming in eighteen fifteen cholesterol. 682 00:40:52,400 --> 00:40:54,840 Speaker 3: Yeah, quite a long time. Yeah yeah. 683 00:40:55,080 --> 00:40:58,759 Speaker 1: Cholesterol has inspired a great deal of fascination and over 684 00:40:58,840 --> 00:41:02,080 Speaker 1: a dozen scientists have been awarded a Nobel Prize for 685 00:41:02,160 --> 00:41:03,520 Speaker 1: their research on cholesterol. 686 00:41:04,000 --> 00:41:08,759 Speaker 3: Wow. Yeah, just for gold mine. It really is. 687 00:41:08,960 --> 00:41:13,360 Speaker 1: Yeah, In case you were curious, cholesterol comes from cholesterine, 688 00:41:13,520 --> 00:41:16,000 Speaker 1: which was the name given to it in eighteen fifteen 689 00:41:16,080 --> 00:41:20,279 Speaker 1: by Michelle Chevroule, who had isolated the stuff from human gallstones. 690 00:41:22,640 --> 00:41:27,600 Speaker 1: So coal, like chol e is bile and stereo solid 691 00:41:28,880 --> 00:41:34,000 Speaker 1: solid bile. Okaying, So when did people start to suspect 692 00:41:34,360 --> 00:41:39,000 Speaker 1: cholesterol's role in atherosclerosis? The first clue that we have 693 00:41:39,200 --> 00:41:43,440 Speaker 1: comes from nineteen ten, with a paper by German chemist A. 694 00:41:43,680 --> 00:41:49,000 Speaker 1: Windaus reporting that his patients with atherosclerosis in autopsies, he 695 00:41:49,120 --> 00:41:52,799 Speaker 1: found that their aortas were just chock full of cholesterol like, 696 00:41:52,960 --> 00:41:56,640 Speaker 1: much more so than his patients who did not have 697 00:41:56,719 --> 00:42:00,560 Speaker 1: the disease. The second clue arrives a few years later 698 00:42:00,680 --> 00:42:06,520 Speaker 1: in nineteen thirteen, when Russian experimental pathologist A. Nichkow showed 699 00:42:06,520 --> 00:42:10,279 Speaker 1: that when he fed rabbits basically pure cholesterol dissolved in 700 00:42:10,320 --> 00:42:14,480 Speaker 1: sunflower oil, they quickly developed lesions in their blood vessels 701 00:42:14,480 --> 00:42:19,000 Speaker 1: that looked a whole lot like human athrosclerosis. The rabbits 702 00:42:19,000 --> 00:42:21,520 Speaker 1: who were fed on a normal diet did not develop 703 00:42:21,640 --> 00:42:22,600 Speaker 1: those same lesions. 704 00:42:23,200 --> 00:42:25,480 Speaker 3: Curious, very curious. 705 00:42:25,800 --> 00:42:28,120 Speaker 1: And he was inspired to do this not because of 706 00:42:28,239 --> 00:42:32,839 Speaker 1: Windows's paper, but because of other previous work investigating whether 707 00:42:32,880 --> 00:42:38,080 Speaker 1: too much protein was toxic and caused premature aging. Interesting, yeah, 708 00:42:38,120 --> 00:42:40,840 Speaker 1: which was kind of the idea at the time. And 709 00:42:40,880 --> 00:42:44,719 Speaker 1: so there were these studies where rabbits were fed on 710 00:42:44,760 --> 00:42:49,319 Speaker 1: a super protein rich diet and the rabbits developed what 711 00:42:49,480 --> 00:42:54,440 Speaker 1: looked like human athrosclerosis, and so Innichkow wanted to know 712 00:42:54,760 --> 00:42:57,279 Speaker 1: what it was was it the protein? Was what is 713 00:42:57,320 --> 00:42:59,959 Speaker 1: it about the protein or that diet specifically that caused 714 00:43:00,120 --> 00:43:04,120 Speaker 1: a lesions? And so he narrowed it down to cholesterol. 715 00:43:04,520 --> 00:43:08,920 Speaker 1: H Yeah, fascinating. Yeah, and so on the surface and 716 00:43:08,960 --> 00:43:12,439 Speaker 1: Nichkow's results showing that a diet high in cholesterol led 717 00:43:12,480 --> 00:43:17,319 Speaker 1: to atherosclerosis like lesions, that's pretty compelling stuff to our 718 00:43:17,719 --> 00:43:21,560 Speaker 1: modern eyes. Yeah, in reality, it did not resonate with 719 00:43:21,600 --> 00:43:23,319 Speaker 1: the scientific community of the time. 720 00:43:23,520 --> 00:43:24,560 Speaker 5: It never does, does it. 721 00:43:24,560 --> 00:43:25,279 Speaker 3: It never does. 722 00:43:26,160 --> 00:43:29,799 Speaker 1: That's okay, you know, like there were three main reasons 723 00:43:29,880 --> 00:43:31,719 Speaker 1: for this hesitance. 724 00:43:32,000 --> 00:43:32,239 Speaker 5: Okay. 725 00:43:32,360 --> 00:43:34,400 Speaker 1: So the first was that when other people tried to 726 00:43:34,440 --> 00:43:38,560 Speaker 1: replicate his results in different animals, no, dice wasn't happening. 727 00:43:38,800 --> 00:43:39,520 Speaker 5: Okay. 728 00:43:39,560 --> 00:43:42,480 Speaker 1: Even when a Nichkow himself tried with a dog, he 729 00:43:42,560 --> 00:43:45,600 Speaker 1: could not produce a lesions, And so he reasoned that 730 00:43:45,680 --> 00:43:49,480 Speaker 1: it might be because dogs, as omnivores, are more accustomed 731 00:43:49,520 --> 00:43:52,480 Speaker 1: to eating cholesterol rich diets and so have evolved to 732 00:43:52,600 --> 00:43:55,440 Speaker 1: excrete or convert excess cholesterol. Oh. 733 00:43:55,600 --> 00:43:57,680 Speaker 3: Interesting, It turned out to be right about that way. 734 00:43:58,560 --> 00:44:02,440 Speaker 1: Rabbits, being herbivores, don't have that same cholesterol, right, They're. 735 00:44:02,360 --> 00:44:05,759 Speaker 4: Not usually eating cholesterol. So they're not equipped to manage it. 736 00:44:06,040 --> 00:44:08,400 Speaker 1: Yeah, but I don't think other people made this connection, 737 00:44:08,520 --> 00:44:10,560 Speaker 1: and so they were like, just I think it's just 738 00:44:10,600 --> 00:44:12,640 Speaker 1: something about these rabbits, because I think. 739 00:44:12,560 --> 00:44:15,000 Speaker 3: They also couldn't do it, and other animals like rats 740 00:44:15,040 --> 00:44:16,120 Speaker 3: maybe anyway, Okay. 741 00:44:17,040 --> 00:44:20,440 Speaker 1: What they were missing also was that this was a 742 00:44:20,480 --> 00:44:25,040 Speaker 1: two stage process. You had to have a high cholesterol 743 00:44:25,160 --> 00:44:29,480 Speaker 1: diet followed by a corresponding rise in blood cholesterol levels 744 00:44:29,640 --> 00:44:31,520 Speaker 1: to get athrosclerosis. 745 00:44:31,760 --> 00:44:32,560 Speaker 3: If you didn't have. 746 00:44:32,480 --> 00:44:34,560 Speaker 1: That second step, if your diet was super high in 747 00:44:34,600 --> 00:44:38,200 Speaker 1: cholesterol but you didn't actually have high circulating blood cholesterol, 748 00:44:38,960 --> 00:44:43,239 Speaker 1: then you athroschlorosis probably wasn't going to develop because you 749 00:44:43,280 --> 00:44:46,240 Speaker 1: were lacking the little the ability to make those platka. 750 00:44:46,360 --> 00:44:48,400 Speaker 5: You ate it, but then it didn't get stuck in 751 00:44:48,400 --> 00:44:48,800 Speaker 5: your blood. 752 00:44:48,800 --> 00:44:49,480 Speaker 3: Did you get stuck? 753 00:44:49,600 --> 00:44:52,040 Speaker 5: I never made it there for one reason, somehow. 754 00:44:51,680 --> 00:44:55,880 Speaker 1: Excreted or processed in a different way, never absorbed it whatever, whatever. 755 00:44:56,080 --> 00:44:59,359 Speaker 5: Just really groady poops, ye. 756 00:45:00,280 --> 00:45:02,640 Speaker 3: Real rough, real rough. 757 00:45:03,520 --> 00:45:06,560 Speaker 1: But the second reason that his results were met with 758 00:45:06,680 --> 00:45:10,920 Speaker 1: skepticism was the blood cholesterol levels that he was inducing 759 00:45:10,960 --> 00:45:15,320 Speaker 1: in these rabbits were staggering. It was like five hundred 760 00:45:15,440 --> 00:45:20,120 Speaker 1: to one thousand milligrams pertest leader and above of total 761 00:45:20,840 --> 00:45:23,960 Speaker 1: total cholesterol. Yeah, which is like way higher than it 762 00:45:24,080 --> 00:45:25,600 Speaker 1: then it gets for most humans. 763 00:45:25,800 --> 00:45:30,520 Speaker 4: Yeah, if I saw that, I would be when I 764 00:45:30,560 --> 00:45:32,120 Speaker 4: get to the three hundreds, I'm. 765 00:45:32,000 --> 00:45:34,400 Speaker 5: Like, we need to do something, thank you. 766 00:45:36,680 --> 00:45:37,879 Speaker 3: Oh just wait till later. 767 00:45:38,000 --> 00:45:39,840 Speaker 5: I don't know if it case episode or next. 768 00:45:39,600 --> 00:45:43,879 Speaker 1: But but so it was kind of like, uh, well, yeah, 769 00:45:44,040 --> 00:45:45,720 Speaker 1: enough of anything is deadly. 770 00:45:45,920 --> 00:45:48,640 Speaker 3: But like that's just not realistic. We're not this is 771 00:45:48,680 --> 00:45:49,440 Speaker 3: not what we're seeing. 772 00:45:50,440 --> 00:45:54,160 Speaker 1: Later, though, he showed that even small rises, so not 773 00:45:54,160 --> 00:45:56,399 Speaker 1: not five hundred to one thousand range, but like small 774 00:45:56,480 --> 00:45:59,640 Speaker 1: rises still led to athroosclerosis like lesions in these rabbits, 775 00:45:59,800 --> 00:46:02,680 Speaker 1: just longer to develop than like the couple of weeks 776 00:46:02,760 --> 00:46:03,600 Speaker 1: or whatever it was. 777 00:46:04,800 --> 00:46:07,279 Speaker 3: And then one last thing, the third. 778 00:46:07,000 --> 00:46:10,200 Speaker 1: Thing that held him back was the prevailing view of 779 00:46:10,280 --> 00:46:14,560 Speaker 1: athrosclerosis at the time when his work was being published. 780 00:46:14,880 --> 00:46:21,040 Speaker 1: Athrosclerosis was seen as an inevitable part of the aging process, interesting, 781 00:46:21,320 --> 00:46:24,319 Speaker 1: something that took decades to develop. And so how on 782 00:46:24,360 --> 00:46:29,480 Speaker 1: earth could these rabbits showing these atherosclerotic lesions within months 783 00:46:29,600 --> 00:46:32,480 Speaker 1: or weeks of eating lots of cholesterol. How could that 784 00:46:32,560 --> 00:46:35,680 Speaker 1: be a reasonable model for human disease. It just didn't 785 00:46:35,680 --> 00:46:36,800 Speaker 1: seem plausible. 786 00:46:36,440 --> 00:46:37,160 Speaker 5: Doesn't make sense. 787 00:46:37,520 --> 00:46:37,840 Speaker 2: Yeah. 788 00:46:37,880 --> 00:46:43,560 Speaker 1: Interesting that skeptical sentiment followed A. Nichkow for decades as 789 00:46:43,640 --> 00:46:49,080 Speaker 1: the sinescence hypothesis of athosclerosis proved particularly stubborn to dislodge 790 00:46:49,840 --> 00:46:52,760 Speaker 1: for his part, and Nichkow pursued this line of research 791 00:46:52,840 --> 00:46:56,080 Speaker 1: for fifty years. Like he was like singularly focused on, 792 00:46:56,200 --> 00:46:58,640 Speaker 1: like I want to understand cholesterol and what's going on 793 00:46:58,719 --> 00:47:00,720 Speaker 1: here till the end of his career. 794 00:47:01,560 --> 00:47:03,879 Speaker 3: And I just wrote this little comment here. 795 00:47:03,960 --> 00:47:08,120 Speaker 1: I wonder too, whether global politics came into play, because 796 00:47:08,600 --> 00:47:12,960 Speaker 1: there's like Cold War stuff. He was friends with Stalin apparently, 797 00:47:13,080 --> 00:47:14,759 Speaker 1: and so I'm wondering if there was just sort of 798 00:47:14,800 --> 00:47:17,680 Speaker 1: like a well, we're gonna distrust. 799 00:47:17,239 --> 00:47:19,880 Speaker 5: You, right, You're not a person that we want to 800 00:47:19,920 --> 00:47:20,319 Speaker 5: hear from. 801 00:47:20,760 --> 00:47:21,080 Speaker 3: Yeah. 802 00:47:21,560 --> 00:47:24,279 Speaker 1: Yeah, I don't know. I didn't see that anywhere. That 803 00:47:24,320 --> 00:47:27,040 Speaker 1: was just my own, my own little speculation. But in 804 00:47:27,080 --> 00:47:30,840 Speaker 1: any case, the next phase of the cholesterol athrosclerosis story 805 00:47:30,960 --> 00:47:33,760 Speaker 1: brings us to UC Berkeley in the mid twentieth century. 806 00:47:34,000 --> 00:47:35,560 Speaker 5: Oh wow, A long time later. 807 00:47:35,840 --> 00:47:38,520 Speaker 1: Yeah, yeah, about forty forty years or so. 808 00:47:38,680 --> 00:47:40,120 Speaker 3: Fifty years Okay. 809 00:47:40,000 --> 00:47:44,840 Speaker 1: Yeah, so there, young physician scientist John Goffman found himself 810 00:47:44,920 --> 00:47:49,880 Speaker 1: drawn to cardiovascular disease, in particular the relationship between diet 811 00:47:50,120 --> 00:47:54,279 Speaker 1: blood cholesterol and athrosclerosis, and he had come across in 812 00:47:54,360 --> 00:47:57,359 Speaker 1: Nichkow's work, but rather than dismissing it like so many 813 00:47:57,400 --> 00:48:00,719 Speaker 1: other people, he suspected that there might be something to 814 00:48:01,040 --> 00:48:04,719 Speaker 1: the cholesterol athrosculerosis link. God, it's so hard to say 815 00:48:04,719 --> 00:48:08,440 Speaker 1: that over and over again, but to get at the 816 00:48:08,480 --> 00:48:11,840 Speaker 1: heart of that link. But I'm pun intended, I literally 817 00:48:11,840 --> 00:48:16,760 Speaker 1: wrote pun intended. He nothing better than a planned joke. 818 00:48:18,120 --> 00:48:19,920 Speaker 1: But he he was like, well, I have to better 819 00:48:20,000 --> 00:48:23,759 Speaker 1: understand the dynamics of cholesterol in the blood, because by 820 00:48:23,800 --> 00:48:27,000 Speaker 1: this point in time, researchers had recognized that there were 821 00:48:27,000 --> 00:48:31,240 Speaker 1: these these compounds called lipoproteins that circulated in the blood. 822 00:48:31,280 --> 00:48:34,239 Speaker 1: They carried cholesterol, and they came in different forms. So 823 00:48:34,280 --> 00:48:37,160 Speaker 1: he was like, there might be like this, We can't 824 00:48:37,200 --> 00:48:40,160 Speaker 1: just say cholesterol. We have to be more detailed than 825 00:48:40,200 --> 00:48:41,680 Speaker 1: not to understand what's going on. 826 00:48:41,840 --> 00:48:43,680 Speaker 5: Which cholesterol package are we talking? 827 00:48:44,200 --> 00:48:45,080 Speaker 3: Yeah, exactly. 828 00:48:45,400 --> 00:48:48,560 Speaker 1: And so people had recognized different lipoproteins, but they didn't 829 00:48:48,600 --> 00:48:52,320 Speaker 1: know what they did and how their concentrations affected health. 830 00:48:52,719 --> 00:48:57,239 Speaker 1: Interesting unclear okay. Gosman was really the first to clarify 831 00:48:57,480 --> 00:49:00,799 Speaker 1: their role, and he did this through a complicated and 832 00:49:00,880 --> 00:49:04,000 Speaker 1: sophisticated technique. The long and the short of it is 833 00:49:04,040 --> 00:49:07,000 Speaker 1: that he was able to take a sample and reliably 834 00:49:07,120 --> 00:49:10,279 Speaker 1: sort and measure the different types of lipoproteins in a 835 00:49:10,320 --> 00:49:14,120 Speaker 1: blood And when he applied this technique to the question 836 00:49:14,280 --> 00:49:18,680 Speaker 1: that interested him the most, what caused atherosclerosis, he found 837 00:49:18,719 --> 00:49:23,319 Speaker 1: that not all lipoproteins had the same impact. And he 838 00:49:23,360 --> 00:49:27,520 Speaker 1: proposed that we shouldn't be looking at total cholesterol. That's 839 00:49:27,680 --> 00:49:31,120 Speaker 1: an incomplete picture. That's too broad of a picture. Really, 840 00:49:31,200 --> 00:49:34,600 Speaker 1: you need to give different weight to the different lipoproteins 841 00:49:34,640 --> 00:49:38,640 Speaker 1: in predicting the risk of cardiovascular disease. So, in other words, 842 00:49:38,680 --> 00:49:41,400 Speaker 1: he came up with the athrogenic index. He was like, 843 00:49:41,680 --> 00:49:44,120 Speaker 1: we need to we need to figure this out and 844 00:49:44,160 --> 00:49:48,960 Speaker 1: have these specific numbers. And he applied this index to 845 00:49:49,200 --> 00:49:52,000 Speaker 1: a small sample of patients and he showed that there 846 00:49:52,040 --> 00:49:55,840 Speaker 1: was a strong association between certain ratios of lipoproteins and 847 00:49:55,880 --> 00:50:00,880 Speaker 1: the risk of heart attack. As a fun little side here, 848 00:50:01,719 --> 00:50:05,160 Speaker 1: his wife, doctor Helen Goffman, published what was probably the 849 00:50:05,200 --> 00:50:09,640 Speaker 1: first heart healthy cookbook in nineteen fifty one, I think 850 00:50:09,640 --> 00:50:13,200 Speaker 1: because of this research was like, Wow, don't eat saturated vats. 851 00:50:13,239 --> 00:50:20,200 Speaker 1: Basically Goffman's research, though, really transformed the field. He bears 852 00:50:20,239 --> 00:50:22,960 Speaker 1: the title the father of clinical lipidology. 853 00:50:23,560 --> 00:50:25,680 Speaker 5: Wow, I know, gotta love it. Gotta love it when 854 00:50:25,680 --> 00:50:26,279 Speaker 5: we get a father. 855 00:50:27,080 --> 00:50:30,319 Speaker 1: Yeah, we have another father in the next episode, the 856 00:50:30,320 --> 00:50:37,800 Speaker 1: father of statn's. Yeah. But his central hypothesis, linking certain 857 00:50:37,920 --> 00:50:41,919 Speaker 1: cholesterol carrying lipoproteins with heart disease, once again, it met 858 00:50:41,960 --> 00:50:47,560 Speaker 1: with resistance, understandably so to a degree. So first of all, 859 00:50:47,600 --> 00:50:50,400 Speaker 1: he didn't have a mechanistic explanation as to why this 860 00:50:50,440 --> 00:50:53,080 Speaker 1: would cause disease. That would have to wait for a 861 00:50:53,120 --> 00:50:57,160 Speaker 1: few decades. And secondly, his sample sizes were fairly small. 862 00:50:57,520 --> 00:51:02,000 Speaker 1: They weren't perspective, meaning you couldn't draw firm conclusions about causality, 863 00:51:02,080 --> 00:51:05,360 Speaker 1: like which came first? Was it cholesterol or heart disease? 864 00:51:05,400 --> 00:51:06,600 Speaker 5: Did you have heart disease and. 865 00:51:06,560 --> 00:51:10,760 Speaker 1: That is what caused your high cholesterol? Righte So doubt 866 00:51:10,800 --> 00:51:16,000 Speaker 1: lingered and things were getting heated. The quote unquote cholesterol 867 00:51:16,040 --> 00:51:19,680 Speaker 1: wars that began in the nineteen fifties reached new heights 868 00:51:19,719 --> 00:51:25,120 Speaker 1: in the nineteen seventies. Oh yeah, cholesterol Wars decades. 869 00:51:25,160 --> 00:51:26,719 Speaker 5: More than Salt Wars. 870 00:51:28,000 --> 00:51:31,920 Speaker 1: Honestly, very like, I would say, more contentious than Salt Wars. 871 00:51:32,200 --> 00:51:35,239 Speaker 1: Interesting in my reading of it. Yeah, tell me all 872 00:51:35,239 --> 00:51:36,280 Speaker 1: about it, Eric, Yeah. 873 00:51:36,640 --> 00:51:36,960 Speaker 3: Okay. 874 00:51:37,000 --> 00:51:41,160 Speaker 1: So, while some physicians and scientists had grown convinced. 875 00:51:40,640 --> 00:51:43,000 Speaker 3: That high blood cholesterol caused heart. 876 00:51:42,840 --> 00:51:45,960 Speaker 1: Disease, others argued that it was the other way around, 877 00:51:46,440 --> 00:51:50,400 Speaker 1: and they took issue with high Where do you draw 878 00:51:50,520 --> 00:51:51,000 Speaker 1: the line? 879 00:51:51,120 --> 00:51:52,279 Speaker 3: What does high mean? 880 00:51:52,960 --> 00:51:53,320 Speaker 5: Okay? 881 00:51:53,520 --> 00:51:54,400 Speaker 3: Yeah, yeah, okay. 882 00:51:54,680 --> 00:51:59,279 Speaker 1: So in medicine, one common cutoff for deciding this is 883 00:51:59,480 --> 00:52:03,400 Speaker 1: ninety five percent. So, for example, if ninety five percent 884 00:52:03,400 --> 00:52:07,160 Speaker 1: of people have cholesterol less than a particular value, anything 885 00:52:07,280 --> 00:52:12,160 Speaker 1: above that is considered abnormal. The problem with this is 886 00:52:12,160 --> 00:52:15,640 Speaker 1: that you're assuming any cholesterol value less than ninety five 887 00:52:15,719 --> 00:52:21,560 Speaker 1: percent is normal. It's non pathogenic. But average doesn't always 888 00:52:21,600 --> 00:52:26,160 Speaker 1: equate to normal. In the nineteen forties, ninety five percent 889 00:52:26,239 --> 00:52:29,680 Speaker 1: of the US population had blood cholesterol below. 890 00:52:29,400 --> 00:52:32,600 Speaker 5: To eighty to eighty to eighty ninety. 891 00:52:32,680 --> 00:52:36,040 Speaker 1: We know today that, yeah, that heart attacks occur with 892 00:52:36,200 --> 00:52:40,080 Speaker 1: levels much lower than that. In fact, most occur between 893 00:52:40,120 --> 00:52:43,320 Speaker 1: two hundred and to eighty, But since that was the 894 00:52:43,360 --> 00:52:46,000 Speaker 1: standard cut off at the time, doctors didn't consider a 895 00:52:46,040 --> 00:52:49,080 Speaker 1: cholesterol level of say two fifty to be worrisome because 896 00:52:49,080 --> 00:52:50,640 Speaker 1: it was considered normal. 897 00:52:50,400 --> 00:52:52,640 Speaker 3: And this is total cholesterol. There's still total cholesterol. 898 00:52:52,719 --> 00:52:56,840 Speaker 1: Yes, Yes, It took several strong epidemiological studies to turn 899 00:52:56,920 --> 00:53:00,400 Speaker 1: that thinking around and say, like, actually, average does always 900 00:53:00,440 --> 00:53:02,640 Speaker 1: equate to healthy. 901 00:53:02,840 --> 00:53:04,960 Speaker 5: Yeah. 902 00:53:05,000 --> 00:53:07,560 Speaker 1: So one of these studies I actually touched on in 903 00:53:07,600 --> 00:53:11,720 Speaker 1: a previous episode our Dietary Guidelines episode canceled Keys's seven 904 00:53:11,760 --> 00:53:12,560 Speaker 1: Countries study. 905 00:53:13,080 --> 00:53:14,760 Speaker 3: So in the nineteen fifties. 906 00:53:14,400 --> 00:53:17,640 Speaker 1: As a refresher, Keys and his colleagues conducted a wide 907 00:53:17,760 --> 00:53:22,680 Speaker 1: ranging study across seven countries examining relationships between diet, blood cholesterol, 908 00:53:22,800 --> 00:53:28,080 Speaker 1: and mortality due to coronary heart disease. The results were striking. 909 00:53:28,600 --> 00:53:31,440 Speaker 1: At one end of the spectrum, you had Japan with 910 00:53:31,560 --> 00:53:35,800 Speaker 1: an average blood cholesterol level of one sixty and less 911 00:53:35,800 --> 00:53:38,799 Speaker 1: than five fatal heart attacks per one thousand men. 912 00:53:39,160 --> 00:53:39,440 Speaker 3: Okay. 913 00:53:40,160 --> 00:53:44,600 Speaker 1: On the other end, you've got Finland with an average 914 00:53:44,640 --> 00:53:48,160 Speaker 1: blood cholesterol of two sixty and seventy fatal heart attacks 915 00:53:48,200 --> 00:53:53,600 Speaker 1: per one thousand. Yeah, and other countries kind of followed 916 00:53:53,600 --> 00:53:56,160 Speaker 1: the same trend, just like fell right on along that 917 00:53:56,200 --> 00:54:00,520 Speaker 1: plot line with blood cholesterol and saturated fat consumption. Positively 918 00:54:00,560 --> 00:54:05,320 Speaker 1: related to fatal heart attacks. Yep, again it was compelling stuff, 919 00:54:05,800 --> 00:54:09,520 Speaker 1: but again, like in many other studies, it showed correlation 920 00:54:09,680 --> 00:54:12,160 Speaker 1: and it didn't prove causation, and so a lot of 921 00:54:12,160 --> 00:54:16,600 Speaker 1: people remained unconvinced. The next study turned all but the 922 00:54:16,640 --> 00:54:19,080 Speaker 1: most stubborn skeptics into believers. 923 00:54:19,280 --> 00:54:19,600 Speaker 5: Okay. 924 00:54:20,200 --> 00:54:26,000 Speaker 1: In nineteen fifty researchers enrolled twenty eight thousand residents of Framingham, Massachusetts. 925 00:54:26,400 --> 00:54:28,920 Speaker 5: Love it framing Ham, Framingham. 926 00:54:29,320 --> 00:54:31,520 Speaker 1: The Framingham Study is one of the most It is 927 00:54:31,560 --> 00:54:35,440 Speaker 1: one of the most long term and valuable and informative 928 00:54:35,520 --> 00:54:37,960 Speaker 1: public health studies ever put together. 929 00:54:38,120 --> 00:54:39,680 Speaker 3: It's incredible. It's incredible. 930 00:54:40,719 --> 00:54:45,640 Speaker 1: They measured things like blood cholesterol, blood pressure, smoking, diabetes, 931 00:54:45,680 --> 00:54:48,640 Speaker 1: and family history of disease, and they follow these residents 932 00:54:48,680 --> 00:54:53,320 Speaker 1: for years. It is still ongoing, recording any disease events 933 00:54:53,360 --> 00:54:54,560 Speaker 1: as they occurred. 934 00:54:54,239 --> 00:54:58,480 Speaker 4: Including in offspring now the old offspring Like it's it 935 00:54:58,560 --> 00:55:01,560 Speaker 4: is a huge de type of study that's been on 936 00:55:01,680 --> 00:55:02,439 Speaker 4: going for so long. 937 00:55:02,680 --> 00:55:08,520 Speaker 1: The amount of information we've gained really cool, really yeah powerful, Okay, 938 00:55:08,840 --> 00:55:11,600 Speaker 1: But what this allowed them to do, what the study 939 00:55:11,640 --> 00:55:15,960 Speaker 1: allowed them to do was establish a sequence high cholesterol 940 00:55:16,160 --> 00:55:20,560 Speaker 1: preceded heart attack, and then they could also calculate risk. 941 00:55:21,080 --> 00:55:25,160 Speaker 1: What is high cholesterol? How much does smoking combined. 942 00:55:24,719 --> 00:55:27,120 Speaker 3: With high cholesterol impact risk? Things like that. 943 00:55:27,160 --> 00:55:30,200 Speaker 1: They could create these sort of calculations and say, what 944 00:55:30,280 --> 00:55:33,640 Speaker 1: are the factors that increases your risk of heart attack 945 00:55:33,800 --> 00:55:38,279 Speaker 1: or stroke. Where the Seven Country study showed the relationship 946 00:55:38,320 --> 00:55:42,120 Speaker 1: between blood cholesterol and heart disease at a population level, 947 00:55:42,400 --> 00:55:46,799 Speaker 1: the Framingham Heart study demonstrated it in the individual. So 948 00:55:46,880 --> 00:55:50,920 Speaker 1: this person had high cholesterol and then they experienced a 949 00:55:50,960 --> 00:55:54,560 Speaker 1: heart attack. That was sort of that directional relationship, right. 950 00:55:55,200 --> 00:55:59,000 Speaker 1: The link between high cholesterol and coronary heart disease could 951 00:55:59,000 --> 00:56:00,480 Speaker 1: not be ignored. 952 00:56:00,840 --> 00:56:05,600 Speaker 3: No no, which of course didn't prevent people from doing so. 953 00:56:05,719 --> 00:56:07,560 Speaker 3: The wars continued. 954 00:56:07,000 --> 00:56:12,160 Speaker 1: Aaron Wow, but increasingly those cholesterol doubters were becoming a 955 00:56:12,239 --> 00:56:17,160 Speaker 1: tiny but vocal minority. Other studies, such as dietary intervention 956 00:56:17,239 --> 00:56:20,439 Speaker 1: studies helped to build the case against cholesterol. But there 957 00:56:20,560 --> 00:56:25,040 Speaker 1: was still one important facet missing, and that was a mechanism. 958 00:56:25,560 --> 00:56:28,520 Speaker 1: So since at least the late eighteen hundreds, physicians had 959 00:56:28,600 --> 00:56:31,520 Speaker 1: noticed a condition that ran in some families where people 960 00:56:31,560 --> 00:56:35,520 Speaker 1: developed large deposits of lipids under their skin. Members of 961 00:56:35,560 --> 00:56:39,480 Speaker 1: these families were very prone to develop severe cardiovascular disease 962 00:56:39,600 --> 00:56:42,759 Speaker 1: at early ages, with some experiencing heart attacks in the 963 00:56:42,760 --> 00:56:47,759 Speaker 1: first ten years of life, and by the early nineteen seventies, 964 00:56:48,040 --> 00:56:51,440 Speaker 1: researchers had established that very high blood cholesterol was a 965 00:56:51,520 --> 00:56:56,360 Speaker 1: key feature of this, hence the name familial hypercholesterol aemia, 966 00:56:57,280 --> 00:57:00,160 Speaker 1: but they weren't sure what caused it or it it's 967 00:57:00,280 --> 00:57:03,200 Speaker 1: role in disease development. Particularly, they were like, Okay, there's 968 00:57:03,239 --> 00:57:05,719 Speaker 1: clearly a genetic link, but like, what's the mechanism here? 969 00:57:05,840 --> 00:57:09,919 Speaker 1: What is that mutation that leads to these high cholesterol levels? 970 00:57:09,960 --> 00:57:13,320 Speaker 4: Exactly what is going on that is causing this person's 971 00:57:13,360 --> 00:57:17,000 Speaker 4: cholesterol to be so high and then resulting in all 972 00:57:17,120 --> 00:57:18,440 Speaker 4: negative health outcomes? 973 00:57:18,520 --> 00:57:21,360 Speaker 3: Like what's why? Why? Why why? 974 00:57:22,080 --> 00:57:25,080 Speaker 1: In nineteen seventy three, the key to the puzzle was 975 00:57:25,200 --> 00:57:30,280 Speaker 1: unlocked by two researchers, Michael Brown and Joseph Goldstein, who, 976 00:57:30,400 --> 00:57:33,960 Speaker 1: over the course of their fifty year collaboration, would be 977 00:57:34,000 --> 00:57:38,480 Speaker 1: compared to Rogers and Hammerstein, which is, so I love. 978 00:57:38,280 --> 00:57:40,520 Speaker 5: That, yeah, Aaron, can we work together? 979 00:57:41,640 --> 00:57:44,480 Speaker 3: Yes? Yes? I was like, can that be us? I 980 00:57:44,520 --> 00:57:45,480 Speaker 3: want that to be us? 981 00:57:47,120 --> 00:57:47,480 Speaker 5: Yes. 982 00:57:49,280 --> 00:57:51,120 Speaker 4: I don't think we'll ever create something as good as 983 00:57:51,200 --> 00:57:55,479 Speaker 4: Rogers and Hammerstein, though let's be let's be the ld Goldstein. Yes. 984 00:57:55,560 --> 00:58:01,680 Speaker 1: Yeah. But Brown and Goldstein they were fascinated by the 985 00:58:01,720 --> 00:58:05,480 Speaker 1: mystery of familial hypercholesterolemia and they wanted to figure out 986 00:58:05,480 --> 00:58:08,800 Speaker 1: what caused such high levels of LDL and the blood 987 00:58:08,840 --> 00:58:11,880 Speaker 1: in affected individuals, because that was really one of the 988 00:58:11,960 --> 00:58:16,360 Speaker 1: key features of this was high LDL. As they discovered, 989 00:58:16,840 --> 00:58:20,200 Speaker 1: it wasn't that there was too much LDL being produced, 990 00:58:20,680 --> 00:58:23,640 Speaker 1: it was that too little LDL. It was being taken 991 00:58:23,720 --> 00:58:24,840 Speaker 1: up by the cells. 992 00:58:25,040 --> 00:58:27,120 Speaker 5: Ah, I love this so much, darn. 993 00:58:27,480 --> 00:58:32,440 Speaker 1: So the cells of people with familial hypercholesterolemia lacked receptors 994 00:58:32,480 --> 00:58:35,560 Speaker 1: that would allow them to scoop up the LDL from 995 00:58:35,600 --> 00:58:38,520 Speaker 1: the bloodstream. So they didn't have those little velcrow hands, right, 996 00:58:38,760 --> 00:58:41,720 Speaker 1: they didn't have enough felcrow hands, and so LDL just 997 00:58:41,840 --> 00:58:45,360 Speaker 1: kept piling up, piling up, circulating and circulating with nowhere 998 00:58:45,400 --> 00:58:47,800 Speaker 1: to go, and over time it just again it's a 999 00:58:47,880 --> 00:58:50,240 Speaker 1: numbers game. It's going to lodge into the blood vessel walls. 1000 00:58:50,360 --> 00:58:53,720 Speaker 1: It's going to cause a blockage, inflammation, plaques, et cetera, 1001 00:58:53,760 --> 00:58:54,240 Speaker 1: et cetera. 1002 00:58:54,680 --> 00:58:55,280 Speaker 3: Huh. 1003 00:58:55,560 --> 00:59:01,160 Speaker 1: Yeah, this discovery, Brown and Goldstein's discovery of the ld receptor. 1004 00:59:00,960 --> 00:59:04,040 Speaker 3: It transformed the field wow, so much so. 1005 00:59:04,000 --> 00:59:06,720 Speaker 1: That it earned them a Nobel Prize in nineteen eighty five, 1006 00:59:07,160 --> 00:59:10,720 Speaker 1: because not only did it explain why people with familial 1007 00:59:10,800 --> 00:59:17,520 Speaker 1: hypercholesterolmia develop cardiovascular disease, it clarified how our cells regulate cholesterol, 1008 00:59:17,600 --> 00:59:23,080 Speaker 1: specifically LDL, and why disease happens when that regulation goes awry. 1009 00:59:23,880 --> 00:59:27,000 Speaker 1: So it was a major major step forward in solidifying 1010 00:59:27,040 --> 00:59:30,160 Speaker 1: the cholesterol heart disease link, and it opened these different 1011 00:59:30,240 --> 00:59:34,960 Speaker 1: pathways to treatment. Can we do something about this receptor 1012 00:59:35,240 --> 00:59:35,960 Speaker 1: right instance? 1013 00:59:36,120 --> 00:59:36,520 Speaker 3: Yeaheah. 1014 00:59:37,760 --> 00:59:44,160 Speaker 1: Did it end the cholesterol wars? Not necessarily, It really didn't. 1015 00:59:44,640 --> 00:59:48,280 Speaker 1: The debate continued, but it had lost a lot of steam. 1016 00:59:48,800 --> 00:59:52,720 Speaker 1: The advent of cholesterol lowering drugs like statins changed the 1017 00:59:52,760 --> 00:59:58,080 Speaker 1: conversation by turning cardiovascular disease from a disease to manage 1018 00:59:58,160 --> 01:00:02,280 Speaker 1: into one to treat, even prevent potentially. But as we'll 1019 01:00:02,280 --> 01:00:05,000 Speaker 1: see next week, their use has also been met with 1020 01:00:05,080 --> 01:00:09,400 Speaker 1: a hefty amount of skepticism, and so the cholesterol wars 1021 01:00:09,480 --> 01:00:11,160 Speaker 1: really continue through today. 1022 01:00:12,040 --> 01:00:16,960 Speaker 4: It is so interesting, Aaron, how much like it. It 1023 01:00:17,040 --> 01:00:20,440 Speaker 4: is really hard, I think to find someone who doesn't 1024 01:00:20,480 --> 01:00:23,680 Speaker 4: at least agree that high levels of cholesterol puts you 1025 01:00:23,680 --> 01:00:27,720 Speaker 4: at high risk for heart disease. Yeah, and yet and 1026 01:00:27,800 --> 01:00:31,840 Speaker 4: there still is so much, like mama, about what you 1027 01:00:31,920 --> 01:00:33,840 Speaker 4: do about it or what we shouldn't do about it, 1028 01:00:33,960 --> 01:00:35,840 Speaker 4: or what your diet effect might be. 1029 01:00:36,360 --> 01:00:38,640 Speaker 5: Like it's oh, I can't wait for next week. 1030 01:00:38,800 --> 01:00:41,480 Speaker 1: Yeah, there's there's a lot more to cover next week 1031 01:00:41,520 --> 01:00:43,840 Speaker 1: when it comes to the story of statins and how 1032 01:00:44,560 --> 01:00:48,320 Speaker 1: the role that they have played in changing our approach 1033 01:00:48,400 --> 01:00:52,760 Speaker 1: to managing and preventing heart disease. Also how the HECTU 1034 01:00:52,760 --> 01:00:55,040 Speaker 1: statins work. Do you want to know the answers to 1035 01:00:55,080 --> 01:00:55,920 Speaker 1: these questions? 1036 01:00:56,200 --> 01:00:58,240 Speaker 3: I want to tell you to turn in next week. 1037 01:01:01,240 --> 01:01:02,919 Speaker 4: Shall we tell people if they want to just learn 1038 01:01:02,920 --> 01:01:04,480 Speaker 4: more about what we've already talked. 1039 01:01:04,240 --> 01:01:07,400 Speaker 3: About, Yes, absolutely we should. I have a lot of 1040 01:01:07,440 --> 01:01:08,400 Speaker 3: sources for. 1041 01:01:08,240 --> 01:01:09,520 Speaker 5: This that you do erin. 1042 01:01:09,720 --> 01:01:10,959 Speaker 3: I'm shouting out. 1043 01:01:11,400 --> 01:01:12,960 Speaker 1: So there was a if you wanted to learn more 1044 01:01:13,000 --> 01:01:17,680 Speaker 1: about sort of cholesterol in oxygen and the Great oxygenation 1045 01:01:17,720 --> 01:01:20,600 Speaker 1: event and why it plays a role. There's a paper 1046 01:01:20,640 --> 01:01:24,520 Speaker 1: called the evolution of cholesterol rich membrane as oxygen adaptation 1047 01:01:24,720 --> 01:01:28,800 Speaker 1: the respiratory system as a model by Zuniga, Hertz and Patel. 1048 01:01:28,480 --> 01:01:29,400 Speaker 3: From twenty nineteen. 1049 01:01:29,600 --> 01:01:32,800 Speaker 1: I liked that one, and then there's an excellent series 1050 01:01:32,880 --> 01:01:35,720 Speaker 1: by Steinberg from two thousand and four. It's a five 1051 01:01:35,800 --> 01:01:39,919 Speaker 1: part series called an Interpretive History of the Cholesterol Controversy 1052 01:01:40,560 --> 01:01:45,160 Speaker 1: Contra Controversy. I can't speak today erin. It's a five 1053 01:01:45,200 --> 01:01:45,720 Speaker 1: part series. 1054 01:01:45,800 --> 01:01:47,440 Speaker 3: Check it out, good good stuff. 1055 01:01:47,520 --> 01:01:49,160 Speaker 5: You did a good job, I think thanks. 1056 01:01:49,800 --> 01:01:50,840 Speaker 3: I also had a. 1057 01:01:50,800 --> 01:01:54,880 Speaker 4: Number of papers for this episode, I think probably my 1058 01:01:55,000 --> 01:01:59,120 Speaker 4: three favorites that cover a lot of ground. One was 1059 01:01:59,120 --> 01:02:03,040 Speaker 4: from twenty twenty by Luo at All from Nature Reviews 1060 01:02:03,160 --> 01:02:06,120 Speaker 4: Molecular Cell Biology. It was called Mechanisms and Regulation of 1061 01:02:06,200 --> 01:02:08,960 Speaker 4: Cholesterol Homeostasis, so this is just like how our bodies 1062 01:02:09,000 --> 01:02:12,120 Speaker 4: are using cholesterol. There was another older one by Maxfield 1063 01:02:12,160 --> 01:02:14,880 Speaker 4: and Tabas from two thousand and five in Nature called 1064 01:02:15,160 --> 01:02:18,640 Speaker 4: Roll of Cholesterol and Lipid Organization in Disease. And then 1065 01:02:18,800 --> 01:02:23,400 Speaker 4: one from twenty nineteen by Holmes and A. La Corpela 1066 01:02:23,640 --> 01:02:27,480 Speaker 4: from Nature Reviews Cardiology just titled what is LDL cholesterol? 1067 01:02:27,720 --> 01:02:29,280 Speaker 4: So that was a good one too. But they have 1068 01:02:29,320 --> 01:02:31,480 Speaker 4: a bunch more and you can check them all out 1069 01:02:31,760 --> 01:02:35,360 Speaker 4: from like these ones from this episode, but also from 1070 01:02:35,400 --> 01:02:37,720 Speaker 4: all of our other episodes on our website. 1071 01:02:37,720 --> 01:02:39,440 Speaker 5: This podcast with Killia dot Com I. 1072 01:02:39,520 --> 01:02:40,400 Speaker 3: Do the episodees tab. 1073 01:02:40,720 --> 01:02:44,280 Speaker 1: Indeed, thank you again so much, Tori for sharing your 1074 01:02:44,320 --> 01:02:47,080 Speaker 1: story with us. It means a lot, it really does. 1075 01:02:47,160 --> 01:02:47,520 Speaker 5: Thank you. 1076 01:02:48,400 --> 01:02:51,000 Speaker 1: Thank you also to Bloodmobile for providing the music for 1077 01:02:51,080 --> 01:02:53,120 Speaker 1: this episode and all of our episodes. 1078 01:02:53,440 --> 01:02:57,440 Speaker 4: Thank you to Leanna and Tom and Mark and Jessica 1079 01:02:57,520 --> 01:03:02,560 Speaker 4: and Christine, everyone, everyone exactly right. Yes, we really appreciate 1080 01:03:02,600 --> 01:03:03,680 Speaker 4: everything that you do for us. 1081 01:03:03,920 --> 01:03:07,560 Speaker 1: We do. Thank you to you listeners for listening, watchers 1082 01:03:07,560 --> 01:03:11,040 Speaker 1: for watching. Anyone who subscribes, participates, does anything with this 1083 01:03:11,080 --> 01:03:13,880 Speaker 1: podcast interacts in any way, We truly appreciate it. 1084 01:03:14,120 --> 01:03:16,520 Speaker 4: We do. Thank you, and as always, a special shout 1085 01:03:16,520 --> 01:03:19,040 Speaker 4: out to our patrons for your support over on Patreon. 1086 01:03:19,400 --> 01:03:23,880 Speaker 4: It means so much to us. Truly, thank you, truly. 1087 01:03:23,640 --> 01:03:24,000 Speaker 3: Thank you. 1088 01:03:24,840 --> 01:03:28,040 Speaker 1: Until next time, wash your hands, you filthy animals.