1 00:00:00,720 --> 00:00:02,960 Speaker 1: Is the top of the New Year, twenty twenty six. 2 00:00:03,240 --> 00:00:08,920 Speaker 1: New Year, Same me, same Shenanigans, same me, Same Dope Labs, 3 00:00:08,960 --> 00:00:12,080 Speaker 1: same Zekiah, same Tt. Because hey, hey, we're doing all 4 00:00:12,119 --> 00:00:14,840 Speaker 1: we can. We don't need to change change the environment, 5 00:00:14,880 --> 00:00:20,800 Speaker 1: don't change me. Right, it's winter time, it's cold, people 6 00:00:20,840 --> 00:00:21,480 Speaker 1: are traveling. 7 00:00:21,520 --> 00:00:23,720 Speaker 2: Did you travel over the holidays? 8 00:00:23,880 --> 00:00:26,680 Speaker 1: No, I'll travel right before the holidays. And I said, 9 00:00:27,040 --> 00:00:29,920 Speaker 1: it's looking wild out here. Yes, I was traveling during 10 00:00:29,960 --> 00:00:35,880 Speaker 1: the holidays and it was very wild. People were coffin, sneezing. 11 00:00:35,960 --> 00:00:40,880 Speaker 1: It's a lot of shared air in these airports and cars, 12 00:00:41,120 --> 00:00:44,360 Speaker 1: houses and houses. Everybody's gathering clothes. 13 00:00:44,360 --> 00:00:48,120 Speaker 2: Hey house, no more h words. 14 00:00:49,479 --> 00:00:55,880 Speaker 1: I'm TT and I'm Zakiyah And this is Dope Labs. 15 00:00:57,160 --> 00:01:00,200 Speaker 1: Welcome to Dope Labs, a weekly podcast that mixes our 16 00:01:00,240 --> 00:01:03,400 Speaker 1: core science with pop culture and a healthy dose of friendship. 17 00:01:07,880 --> 00:01:09,200 Speaker 2: Well, I'll speak for myself. 18 00:01:09,400 --> 00:01:12,160 Speaker 1: When I'm thinking about the air and travel and being 19 00:01:12,200 --> 00:01:15,360 Speaker 1: in close proximity with people, I'm always just thinking about viruses. 20 00:01:15,440 --> 00:01:18,200 Speaker 1: But the air has other things in it too, And 21 00:01:18,400 --> 00:01:21,000 Speaker 1: people in Georgia right now are struggling with the flu. 22 00:01:21,240 --> 00:01:23,960 Speaker 1: I'm like, hey, put those masks in here, Okay, it's 23 00:01:23,959 --> 00:01:27,000 Speaker 1: taking a lot of people out for real. And just 24 00:01:27,040 --> 00:01:29,920 Speaker 1: like with viruses, all the other things in the air, 25 00:01:30,440 --> 00:01:35,720 Speaker 1: like pollution, smoke, everything from cars, factories, wildfires, all of 26 00:01:35,720 --> 00:01:39,000 Speaker 1: that stuff is also coming into our bodies with the 27 00:01:39,080 --> 00:01:41,440 Speaker 1: viruses and also have an impact. 28 00:01:41,440 --> 00:01:44,040 Speaker 2: We're taking all of that in. That's what this episode 29 00:01:44,080 --> 00:01:44,440 Speaker 2: is about. 30 00:01:44,560 --> 00:01:46,720 Speaker 1: We want to talk to somebody who studies this full 31 00:01:46,720 --> 00:01:49,280 Speaker 1: time because I feel like when wildfires ramp up, I 32 00:01:49,320 --> 00:01:52,840 Speaker 1: remember what's in the air. Then when flu season is 33 00:01:52,880 --> 00:01:54,880 Speaker 1: at its peak, I remember that. But how do we 34 00:01:54,960 --> 00:01:57,640 Speaker 1: take all of these things in? So we're talking to 35 00:01:57,680 --> 00:02:00,600 Speaker 1: somebody who looks at how the environment, specifically the air 36 00:02:00,720 --> 00:02:03,840 Speaker 1: and air pollution gets into our bodies, shapes our health 37 00:02:04,160 --> 00:02:05,840 Speaker 1: and how it affects us in ways that we don't 38 00:02:05,840 --> 00:02:10,600 Speaker 1: even think about. I think we should start with what 39 00:02:10,639 --> 00:02:13,600 Speaker 1: we know, which is what you've already said. TT winner 40 00:02:13,600 --> 00:02:17,600 Speaker 1: means more sickness. We know people reading to heat, ventilation 41 00:02:17,720 --> 00:02:21,519 Speaker 1: is worse, and we know mass work, but we're usually 42 00:02:21,520 --> 00:02:23,919 Speaker 1: thinking about well, for me, I'm thinking about the biological 43 00:02:23,919 --> 00:02:26,360 Speaker 1: threats and what masks protect us from. And we know 44 00:02:26,560 --> 00:02:29,320 Speaker 1: that those air quality alerts pop up on our phones 45 00:02:30,000 --> 00:02:33,359 Speaker 1: from time to time, talking about the ozone talking about wildfire, 46 00:02:33,400 --> 00:02:37,160 Speaker 1: smoke and smog, and some days the air outside is 47 00:02:37,320 --> 00:02:41,040 Speaker 1: just literally not safe to breathe. And so as someone 48 00:02:41,080 --> 00:02:44,360 Speaker 1: with asthma and allergies, I think about that, and I 49 00:02:44,400 --> 00:02:46,600 Speaker 1: also think about the folks who have that and also 50 00:02:46,800 --> 00:02:51,960 Speaker 1: heart issues and compromised immune systems, Like how are they 51 00:02:52,080 --> 00:02:56,560 Speaker 1: moving through life with all of these other particles floating 52 00:02:56,600 --> 00:02:57,160 Speaker 1: through the air. 53 00:02:57,480 --> 00:02:59,960 Speaker 2: Is this just confined to the lung? 54 00:03:00,320 --> 00:03:03,679 Speaker 1: Is what I think about, right, And so I think 55 00:03:03,720 --> 00:03:06,960 Speaker 1: we have a lot of questions to uncover. Yes, I 56 00:03:07,040 --> 00:03:10,079 Speaker 1: have a ton like can you have a bad air day? 57 00:03:10,880 --> 00:03:13,600 Speaker 2: And can you quickly recover? Are you down right? 58 00:03:13,680 --> 00:03:16,320 Speaker 1: Because yes, when I have a bad hair day, I'm 59 00:03:16,360 --> 00:03:19,400 Speaker 1: not going anywhere. No, it's inside, It's inside. 60 00:03:19,760 --> 00:03:22,119 Speaker 2: Okay, let's jump into the dissection. 61 00:03:26,120 --> 00:03:28,800 Speaker 1: He's a good friend of ours. We have been friends 62 00:03:29,160 --> 00:03:32,400 Speaker 1: since grad school. We are very happy to have him here. 63 00:03:32,680 --> 00:03:33,480 Speaker 1: Introduce yourself. 64 00:03:33,560 --> 00:03:37,360 Speaker 3: Finance Cavin Ward cavinists. I'm currently the director of Environmental 65 00:03:37,360 --> 00:03:39,800 Speaker 3: Science for the Price Slab at the Buck Institute for 66 00:03:39,840 --> 00:03:43,160 Speaker 3: Research on Aging. I'm also an adjunct faculty member for 67 00:03:43,240 --> 00:03:46,160 Speaker 3: Duke University and the University of North Carolina. Chapel Hill, 68 00:03:46,200 --> 00:03:48,600 Speaker 3: Go Blue devils don't test my allegiance. 69 00:03:49,280 --> 00:03:50,040 Speaker 4: Formerly, I was. 70 00:03:50,000 --> 00:03:53,520 Speaker 3: A senior computational biologist for the US Environmental Protection Agency. 71 00:03:53,960 --> 00:03:56,440 Speaker 3: Across all these roles, my passion is really trying to 72 00:03:56,520 --> 00:04:01,480 Speaker 3: utilize modern data resources, modern data tools, techniques to improve 73 00:04:01,640 --> 00:04:06,320 Speaker 3: personalized environmental health and reduce health disparities for all communities. 74 00:04:07,000 --> 00:04:09,520 Speaker 1: The only pollution I know is the air quality index 75 00:04:09,600 --> 00:04:12,480 Speaker 1: that the weather app tells me from Apple. But I 76 00:04:12,600 --> 00:04:15,840 Speaker 1: know there's so much more because you've told it to 77 00:04:15,960 --> 00:04:18,640 Speaker 1: us over the years. How should we even be thinking 78 00:04:18,640 --> 00:04:19,560 Speaker 1: about air pollution? 79 00:04:20,440 --> 00:04:22,640 Speaker 3: Well, I say the first thing to do is just 80 00:04:22,680 --> 00:04:24,640 Speaker 3: to start thinking about it. You know, I think one 81 00:04:24,680 --> 00:04:26,560 Speaker 3: of the benefits we have here in the US is 82 00:04:26,600 --> 00:04:29,440 Speaker 3: that we have generally pretty good air quality. Well, we 83 00:04:29,440 --> 00:04:31,240 Speaker 3: don't think about the fact that, like, yeah, just because 84 00:04:31,279 --> 00:04:34,320 Speaker 3: the skies are clear doesn't necessarily mean that, you know, 85 00:04:34,720 --> 00:04:39,640 Speaker 3: those daily variations in air quality aren't impacting health for individuals. 86 00:04:39,640 --> 00:04:41,760 Speaker 3: And then you have the days where the air isn't clear, 87 00:04:41,800 --> 00:04:43,480 Speaker 3: you know, you have the smoke events that come down. 88 00:04:43,920 --> 00:04:46,240 Speaker 3: You know, we have the big Canadian wildfires where the 89 00:04:46,240 --> 00:04:49,040 Speaker 3: skies of New York or Orange for days, and that's 90 00:04:49,080 --> 00:04:51,440 Speaker 3: when people get reminded of it when your eyes are burning, 91 00:04:51,480 --> 00:04:53,440 Speaker 3: you're coughing, and people are like, man, like, what's going on. 92 00:04:53,600 --> 00:04:55,840 Speaker 3: And it's important that people think about their personal activities 93 00:04:55,880 --> 00:04:58,239 Speaker 3: and their personal health. But what people don't think about 94 00:04:58,240 --> 00:05:00,279 Speaker 3: it is like, hey, I'm in the winter, you know, 95 00:05:00,760 --> 00:05:02,640 Speaker 3: let me start up that fireplace. You know, all of 96 00:05:02,640 --> 00:05:04,760 Speaker 3: a sudden the house gets a little smoky. Maybe I 97 00:05:04,800 --> 00:05:07,360 Speaker 3: didn't clean that chimney. Those sorts of things, and so 98 00:05:07,400 --> 00:05:11,200 Speaker 3: those types of things also contribute to what you breathe 99 00:05:11,200 --> 00:05:13,559 Speaker 3: in and how what you breathe in impacts your health. 100 00:05:13,760 --> 00:05:17,880 Speaker 3: So when you want to light that fireplace, or cooking 101 00:05:17,960 --> 00:05:21,520 Speaker 3: being one of the big contributors to indoor air pollution, 102 00:05:22,120 --> 00:05:23,360 Speaker 3: you know, frying foods. 103 00:05:23,440 --> 00:05:24,760 Speaker 4: Those oils we. 104 00:05:24,680 --> 00:05:28,039 Speaker 3: Think about, you know, particulates as like these little hard 105 00:05:28,040 --> 00:05:30,880 Speaker 3: particles like sand, but it's really a lot more complex 106 00:05:30,920 --> 00:05:33,320 Speaker 3: to that. A lot of them were composed of organics 107 00:05:33,320 --> 00:05:37,120 Speaker 3: set of solidified in the atmosphere, and so the actual 108 00:05:37,200 --> 00:05:39,839 Speaker 3: organics are a part of will be considered be particulate 109 00:05:39,920 --> 00:05:42,919 Speaker 3: air pollution. And unfortunately, you know, the lungs were not 110 00:05:43,040 --> 00:05:44,960 Speaker 3: designed to be able to handle all of that. They 111 00:05:44,960 --> 00:05:48,080 Speaker 3: were not designed to breathe in you know, oils aerosols, 112 00:05:48,520 --> 00:05:51,840 Speaker 3: organic carbons, but things like that, and so the body reacts, 113 00:05:52,160 --> 00:05:55,200 Speaker 3: the lungs reacts, inflammation goes up, and you start to 114 00:05:55,200 --> 00:05:57,880 Speaker 3: get a whole host of you know, potential health issues. 115 00:05:57,960 --> 00:06:00,360 Speaker 3: But the first step is just the awareness that it's 116 00:06:00,640 --> 00:06:02,559 Speaker 3: always there, even when the skies are clear. 117 00:06:02,920 --> 00:06:06,160 Speaker 1: You said words like airsols and particulates. Can we talk 118 00:06:06,200 --> 00:06:10,800 Speaker 1: about scale. I'm a material scientist and I specialize in nanomterials, 119 00:06:10,880 --> 00:06:14,119 Speaker 1: so I can understand, I appreciate how small these things are, 120 00:06:14,279 --> 00:06:18,320 Speaker 1: but I don't know if people really understand how small 121 00:06:18,720 --> 00:06:22,800 Speaker 1: some of these particulates can get and when it becomes 122 00:06:22,839 --> 00:06:25,240 Speaker 1: like something that interferes with your respiratory system. 123 00:06:25,839 --> 00:06:29,159 Speaker 3: So we cost like particulates by size typically, so we 124 00:06:29,240 --> 00:06:32,080 Speaker 3: talk about PM ten that's particular matter of the sets 125 00:06:32,120 --> 00:06:34,839 Speaker 3: and ten micrometers in diameter. And to give you a 126 00:06:35,040 --> 00:06:37,160 Speaker 3: sense of what that scale is, a human hair is 127 00:06:37,200 --> 00:06:40,640 Speaker 3: about forty micrometers in diameter cross there, so you can 128 00:06:40,640 --> 00:06:44,200 Speaker 3: get about four PM ten particles across withid of a 129 00:06:44,320 --> 00:06:48,080 Speaker 3: human hair. So you're already talking pretty smart for it 130 00:06:48,240 --> 00:06:53,159 Speaker 3: tiny particles, but thanks to evolution, your body's evolved a 131 00:06:53,200 --> 00:06:56,240 Speaker 3: lot of defenses. So PM ten particles actually a lot 132 00:06:56,240 --> 00:07:00,279 Speaker 3: of those are captured by your upper airway defenses. And 133 00:07:00,320 --> 00:07:02,320 Speaker 3: so we go down to the finer particles, the things 134 00:07:02,320 --> 00:07:04,840 Speaker 3: that are we call, you know, the PM two point 135 00:07:04,839 --> 00:07:07,240 Speaker 3: five the fine particular matter. And now you're getting into 136 00:07:07,240 --> 00:07:09,800 Speaker 3: the particular matter that can actually penetrate down to there. 137 00:07:09,800 --> 00:07:12,920 Speaker 3: And so two point five micrometers and diameter. Okay, well, 138 00:07:12,920 --> 00:07:15,920 Speaker 3: now you're talking about four of those fitting across every 139 00:07:15,960 --> 00:07:18,280 Speaker 3: PM ten particle as out there. And so now you're 140 00:07:18,320 --> 00:07:21,200 Speaker 3: talking about, you know, particles that are much much smaller 141 00:07:21,240 --> 00:07:23,160 Speaker 3: than the width of a human hair. And then you 142 00:07:23,200 --> 00:07:25,200 Speaker 3: go down a step further and you get to the 143 00:07:25,280 --> 00:07:28,280 Speaker 3: ultra fine particulates PM point one PM one. 144 00:07:28,320 --> 00:07:30,800 Speaker 4: We talk about one micrometer, one tenth of a. 145 00:07:30,760 --> 00:07:33,520 Speaker 3: Micrometer and diameter, and those are the particles that are 146 00:07:33,520 --> 00:07:35,440 Speaker 3: small enough not only to get into your lungs, but 147 00:07:35,480 --> 00:07:38,240 Speaker 3: actually to diffuse out of your lungs to become part 148 00:07:38,320 --> 00:07:40,120 Speaker 3: of what's circulating through your body. 149 00:07:40,160 --> 00:07:43,360 Speaker 1: And so what falls into that category, yeah, you want 150 00:07:43,360 --> 00:07:43,560 Speaker 1: to know. 151 00:07:43,720 --> 00:07:46,440 Speaker 3: So those are we called, you know, the ultra fine particulates. 152 00:07:46,720 --> 00:07:49,880 Speaker 3: Those are the smallest of the small particles, or you 153 00:07:49,920 --> 00:07:52,160 Speaker 3: know a lot of them are barely held together enough 154 00:07:52,160 --> 00:07:54,520 Speaker 3: to be solid, but they are you know, together enough 155 00:07:54,560 --> 00:07:57,040 Speaker 3: to be able to diffuse out of the lungs and 156 00:07:57,080 --> 00:07:59,560 Speaker 3: get into the bloodstream. And you know, there are studies 157 00:07:59,600 --> 00:08:02,520 Speaker 3: whether generate gold particles of these. So they're inert, but 158 00:08:02,520 --> 00:08:05,160 Speaker 3: they're easily tracked and they're easily to be collected afterwards. 159 00:08:05,440 --> 00:08:08,320 Speaker 3: And you can have you know, animal models breathe us 160 00:08:08,320 --> 00:08:10,600 Speaker 3: in and you'll find them in the lungs, you'll find 161 00:08:10,600 --> 00:08:12,720 Speaker 3: them in the kidneys, you'll find them in the. 162 00:08:12,720 --> 00:08:14,400 Speaker 4: Tails, you know of these animals. 163 00:08:14,560 --> 00:08:16,600 Speaker 3: And so it really shows how what you breathe in 164 00:08:16,720 --> 00:08:19,840 Speaker 3: becomes part of what's circulating all the way throughout you. 165 00:08:20,200 --> 00:08:22,760 Speaker 3: And it's all these factors together the you know, what 166 00:08:22,800 --> 00:08:25,040 Speaker 3: it does to your lungs, the way your lungs react, 167 00:08:25,280 --> 00:08:27,440 Speaker 3: how it diffuses out of your lungs, and then the 168 00:08:27,440 --> 00:08:30,960 Speaker 3: way it impacts other organ systems. That contributes to all 169 00:08:31,000 --> 00:08:33,800 Speaker 3: the health effects that we can associate with particular matter. 170 00:08:33,840 --> 00:08:35,679 Speaker 3: And then you have the non particle part of it, 171 00:08:35,720 --> 00:08:40,080 Speaker 3: the gases, you know, things like your ozone, your nitrogen dioxides, 172 00:08:40,280 --> 00:08:42,760 Speaker 3: which you're really heavy around car traffic, and a lot 173 00:08:42,760 --> 00:08:45,720 Speaker 3: of those never leave the lungs. You know, ozone reacts 174 00:08:45,840 --> 00:08:51,040 Speaker 3: very well never leave, as in, they'll reach the cell 175 00:08:51,120 --> 00:08:54,680 Speaker 3: lining and they'll react so quickly that they'll essentially split 176 00:08:54,720 --> 00:08:58,480 Speaker 3: apart some lipid membranes, and the gas itself will be gone, 177 00:08:58,800 --> 00:09:01,480 Speaker 3: but the effects of it linger far, far longer than that. 178 00:09:02,200 --> 00:09:04,320 Speaker 2: So hold your breath in traffic. 179 00:09:04,000 --> 00:09:06,480 Speaker 4: Hold your I want to say, hold your breath in traffic. 180 00:09:07,720 --> 00:09:10,440 Speaker 4: You know, breathe, breathe in traffic. 181 00:09:11,640 --> 00:09:13,600 Speaker 3: But it does become you know thought, if you're ever 182 00:09:13,800 --> 00:09:15,640 Speaker 3: you know, next to a busy road, you hear a 183 00:09:15,720 --> 00:09:18,720 Speaker 3: big truck pass by, you know, people cough and all that, 184 00:09:18,720 --> 00:09:21,760 Speaker 3: that reaction is immediate to that air pollution that you're 185 00:09:21,760 --> 00:09:24,800 Speaker 3: breathing in. And even when the big truck's not passing by, 186 00:09:25,040 --> 00:09:27,200 Speaker 3: every time a car passes by, there's gonna be an 187 00:09:27,280 --> 00:09:30,880 Speaker 3: uptick in gaseous and exhaust and all that. And so 188 00:09:31,240 --> 00:09:33,000 Speaker 3: think about that in the concept of your daily life. 189 00:09:33,320 --> 00:09:35,360 Speaker 3: Do you run along next to roads? You know, how 190 00:09:35,400 --> 00:09:37,719 Speaker 3: do you feel when you run next to roads versus running. 191 00:09:37,440 --> 00:09:37,920 Speaker 4: In a park? 192 00:09:38,160 --> 00:09:40,320 Speaker 3: Do you want to think about how air pollution impacts 193 00:09:40,400 --> 00:09:42,640 Speaker 3: daily behaviors. That's when you start to think about when 194 00:09:42,679 --> 00:09:44,319 Speaker 3: you think about the fact that, like I said, just 195 00:09:44,360 --> 00:09:46,800 Speaker 3: because the air is clear doesn't mean, it's not there. 196 00:10:02,000 --> 00:10:03,840 Speaker 1: My brain is all over the place right now because 197 00:10:03,840 --> 00:10:05,920 Speaker 1: there's just so many things that I just are now 198 00:10:05,960 --> 00:10:08,320 Speaker 1: being brought to my awareness because you said you got 199 00:10:08,320 --> 00:10:10,480 Speaker 1: to think about it, and now I'm like, okay, Now 200 00:10:10,480 --> 00:10:14,600 Speaker 1: I'm hyper aware. And I don't think about inside of 201 00:10:14,600 --> 00:10:18,280 Speaker 1: my house having anything in the air. I run an 202 00:10:18,280 --> 00:10:21,360 Speaker 1: air purifier now, but I don't. I don't think about 203 00:10:21,360 --> 00:10:24,600 Speaker 1: how the things that I'm doing, like day to day, 204 00:10:24,640 --> 00:10:25,679 Speaker 1: how that contributes. 205 00:10:25,720 --> 00:10:26,480 Speaker 2: And one thing that. 206 00:10:26,480 --> 00:10:30,559 Speaker 1: Zakia had brought up is like hair spray, our setting 207 00:10:30,559 --> 00:10:35,840 Speaker 1: spray for makeup, the makeup itself like that because it's 208 00:10:36,040 --> 00:10:39,480 Speaker 1: settling into the finest pores and that's what I want, 209 00:10:39,520 --> 00:10:41,520 Speaker 1: that's what you want to do. But it's also settling. 210 00:10:41,880 --> 00:10:45,080 Speaker 1: There is a makeup the setting spray tete, I know, 211 00:10:45,120 --> 00:10:47,880 Speaker 1: you know it. It's pink. I have to hold my 212 00:10:47,880 --> 00:10:50,600 Speaker 1: breath when I use that. It takes the air out 213 00:10:50,640 --> 00:10:54,440 Speaker 1: of the room. You have to hold your breath for time. 214 00:10:54,800 --> 00:10:57,040 Speaker 1: But it works so well. But I know this can't. 215 00:10:57,200 --> 00:11:00,000 Speaker 2: It has particles. 216 00:10:59,600 --> 00:10:59,800 Speaker 4: You know. 217 00:11:00,280 --> 00:11:02,640 Speaker 3: Is that aerosol tip you know that's what it is 218 00:11:02,679 --> 00:11:05,400 Speaker 3: doing and is aerosolizing whatever is in the can so 219 00:11:05,480 --> 00:11:07,839 Speaker 3: it comes out of this fine spray of drops, which, 220 00:11:07,840 --> 00:11:10,400 Speaker 3: as you said, is great for a nice even distribution, 221 00:11:10,640 --> 00:11:13,520 Speaker 3: but your body's letting you know. They're like, hey, I 222 00:11:13,600 --> 00:11:16,040 Speaker 3: breathe this in and it's causing a reaction, so I 223 00:11:16,080 --> 00:11:17,080 Speaker 3: don't want to breathe it in. 224 00:11:17,160 --> 00:11:19,319 Speaker 1: Well, I have a heat protected and this smells so good, 225 00:11:19,320 --> 00:11:24,280 Speaker 1: and I'd be like, and then I love the smell, 226 00:11:24,360 --> 00:11:28,000 Speaker 1: and then coffee. So you're telling me damage not good? 227 00:11:28,320 --> 00:11:29,600 Speaker 4: Yeah, not good. 228 00:11:29,760 --> 00:11:32,920 Speaker 3: And sometimes it's you know, just sensitization. You know, it 229 00:11:32,920 --> 00:11:35,440 Speaker 3: doesn't always have to lead to long term damage, but 230 00:11:35,559 --> 00:11:38,080 Speaker 3: it is something that you know, people should think about 231 00:11:38,200 --> 00:11:40,520 Speaker 3: and be aware of how your body responds to it, 232 00:11:40,520 --> 00:11:43,680 Speaker 3: because people are going to respond slightly differently, and you know, unfortunately, 233 00:11:43,679 --> 00:11:45,520 Speaker 3: there's not a lot of tests we have right now 234 00:11:45,559 --> 00:11:47,000 Speaker 3: to be able to say, Okay, you're going to respond 235 00:11:47,040 --> 00:11:49,760 Speaker 3: really strongly to this type of pollutant, and you're going 236 00:11:49,760 --> 00:11:51,719 Speaker 3: to strong really respond to that type of pollutant, you 237 00:11:51,720 --> 00:11:54,800 Speaker 3: should stay away from this setting spray. And that's part 238 00:11:54,840 --> 00:11:57,120 Speaker 3: of the research work that's going on, part of what's 239 00:11:57,160 --> 00:12:00,480 Speaker 3: being called personalized environmental health. We're moving away from just 240 00:12:01,040 --> 00:12:03,200 Speaker 3: general population and we'll risk where we say okay, the 241 00:12:03,280 --> 00:12:07,240 Speaker 3: risk is this much for the entire US population and 242 00:12:07,280 --> 00:12:09,320 Speaker 3: really drilling down to okay, well, what are your personalized 243 00:12:09,400 --> 00:12:13,520 Speaker 3: risk what based on your life history, based on your genome, 244 00:12:13,880 --> 00:12:16,760 Speaker 3: based on the other exposures that you've received, are you 245 00:12:17,000 --> 00:12:20,080 Speaker 3: likely to respond to? How are you likely to respond? 246 00:12:20,440 --> 00:12:22,640 Speaker 3: And hopefully once we get that information, what can you 247 00:12:22,720 --> 00:12:25,280 Speaker 3: do about it? And that's really the next step in 248 00:12:25,440 --> 00:12:29,360 Speaker 3: environmental health is an increased personalization that allows the individual 249 00:12:29,440 --> 00:12:31,640 Speaker 3: to respond to the risks that they're experiencing. 250 00:12:32,280 --> 00:12:34,280 Speaker 1: I like that something you said is like looking back 251 00:12:34,320 --> 00:12:36,480 Speaker 1: at what have you been exposed to? And I think 252 00:12:36,480 --> 00:12:40,360 Speaker 1: to understand why what you have been exposed to previously matters, 253 00:12:40,400 --> 00:12:43,960 Speaker 1: I think you have to understand what long term exposure means. 254 00:12:44,400 --> 00:12:46,800 Speaker 1: Can you explain some of those correlations and why they 255 00:12:46,840 --> 00:12:49,199 Speaker 1: exist and what we see as long term effects? 256 00:12:49,440 --> 00:12:50,600 Speaker 4: Yeah? Absolutely so. 257 00:12:51,280 --> 00:12:53,760 Speaker 3: Really you can think about as the accumulation of as 258 00:12:53,760 --> 00:12:56,760 Speaker 3: you said before, damage that happens so a lot of 259 00:12:56,760 --> 00:12:59,560 Speaker 3: what we think about in the air polluting context. You know, 260 00:12:59,600 --> 00:13:02,840 Speaker 3: it's linked to inflammation and sort of systemic damage to 261 00:13:03,240 --> 00:13:06,920 Speaker 3: basic cellular prophecies. How your body functions on a cellular 262 00:13:07,040 --> 00:13:09,360 Speaker 3: level gets disrupted by long term exposure. 263 00:13:09,400 --> 00:13:11,520 Speaker 4: Almost any injury for it. 264 00:13:11,800 --> 00:13:14,440 Speaker 3: And so when you get one day of say heavy 265 00:13:14,440 --> 00:13:16,600 Speaker 3: air pollution for it, you might get, you know, some 266 00:13:16,679 --> 00:13:19,360 Speaker 3: watery eyes, you might have a cough, a headache. But 267 00:13:19,520 --> 00:13:21,240 Speaker 3: if that goes away after a couple of days, your 268 00:13:21,240 --> 00:13:23,880 Speaker 3: body can recover from that. But what we know, and 269 00:13:23,920 --> 00:13:25,680 Speaker 3: we know this, you know for a lot of different conditions, 270 00:13:26,080 --> 00:13:29,160 Speaker 3: when you get that chronic systemic inflammation, when your body 271 00:13:29,200 --> 00:13:32,439 Speaker 3: is just always responding, that becomes an issue that starts 272 00:13:32,440 --> 00:13:34,400 Speaker 3: to break down how your body is going to react 273 00:13:34,640 --> 00:13:37,520 Speaker 3: to the next stimulus that you receive. It's almost like 274 00:13:37,960 --> 00:13:40,679 Speaker 3: your body can't quite respond the way that they did 275 00:13:40,720 --> 00:13:43,480 Speaker 3: before if it's received the same insult for day after 276 00:13:43,559 --> 00:13:48,360 Speaker 3: day after day. When death by a thousand paper cuts, 277 00:13:48,480 --> 00:13:50,160 Speaker 3: and when it comes to air pollution, those paper cuts 278 00:13:50,200 --> 00:13:52,240 Speaker 3: can be very small, so small you don't even feel 279 00:13:52,240 --> 00:13:56,920 Speaker 3: them then, So that long term chronic exposure can lead 280 00:13:56,960 --> 00:14:02,360 Speaker 3: to increased risk of cardiovascular disease, increase risk of renal disease, 281 00:14:02,480 --> 00:14:05,000 Speaker 3: increase risk of lung disease, renal de. 282 00:14:06,520 --> 00:14:07,720 Speaker 4: Renal disease, your kidneys. 283 00:14:07,760 --> 00:14:10,600 Speaker 3: I told you, these particles go everywhere, and so that 284 00:14:10,640 --> 00:14:13,760 Speaker 3: contributes to this increased risk of these chronic diseases that 285 00:14:13,920 --> 00:14:17,640 Speaker 3: just continual increased inflammation that your body's receiving from these 286 00:14:17,640 --> 00:14:20,560 Speaker 3: long term exposures. But then there's also the aging aspect 287 00:14:20,560 --> 00:14:21,800 Speaker 3: to it, and this has really come about in the 288 00:14:21,880 --> 00:14:24,160 Speaker 3: last few years where we've been able to track aging 289 00:14:24,280 --> 00:14:28,360 Speaker 3: using these molecular biomarkers known as aging clocks. And what 290 00:14:28,400 --> 00:14:30,840 Speaker 3: these clocks allow us to do is to take DNA methylation, 291 00:14:31,320 --> 00:14:34,200 Speaker 3: the way that certain changes are applied to your DNA 292 00:14:34,400 --> 00:14:37,320 Speaker 3: so that different cells can respond in different ways, and 293 00:14:37,360 --> 00:14:40,160 Speaker 3: actually use those as a way to measure how you 294 00:14:40,200 --> 00:14:42,840 Speaker 3: age at a cellular level, how you age at an 295 00:14:42,920 --> 00:14:45,800 Speaker 3: organ system level, and how you age as an overall person. 296 00:14:46,000 --> 00:14:47,960 Speaker 3: And what's been clearly shown is that people who are 297 00:14:48,360 --> 00:14:52,520 Speaker 3: exposed to high levels of poor air quality, or people 298 00:14:52,560 --> 00:14:55,320 Speaker 3: who are exposed to moderate air quality but for a 299 00:14:55,360 --> 00:14:58,440 Speaker 3: long period of time, have accelerated aging, so they might 300 00:14:58,480 --> 00:15:00,680 Speaker 3: be three, four or five years older than what they 301 00:15:00,720 --> 00:15:03,080 Speaker 3: should be. What we've also seen is that people who 302 00:15:03,120 --> 00:15:06,800 Speaker 3: have accelerated aging are more likely to respond to future exposures, 303 00:15:06,800 --> 00:15:10,120 Speaker 3: which helps explain why the elderly and other individuals are 304 00:15:10,160 --> 00:15:14,240 Speaker 3: more sensitive to environmental exposures. So there's really this feedback 305 00:15:14,280 --> 00:15:17,680 Speaker 3: loop that happens over time, where you get chronically exposed 306 00:15:18,040 --> 00:15:20,840 Speaker 3: and weakens your biological system's ability to respond to the 307 00:15:20,880 --> 00:15:23,760 Speaker 3: next exposure. You respond ford to the next exposure, you 308 00:15:23,760 --> 00:15:26,520 Speaker 3: get chronically exposed, so on and so forward. 309 00:15:26,560 --> 00:15:28,760 Speaker 4: And so that's why it's important to be able to. 310 00:15:28,720 --> 00:15:33,000 Speaker 3: Interrupt these cycles, both at policy levels where weset national standards, 311 00:15:33,200 --> 00:15:35,400 Speaker 3: but also at individual levels, where individuals we're able to 312 00:15:35,520 --> 00:15:38,040 Speaker 3: understand what am I being exposed to and how do 313 00:15:38,120 --> 00:15:41,600 Speaker 3: I prevent future adverse exposures to be able to really 314 00:15:41,600 --> 00:15:43,120 Speaker 3: start to improve environmental health. 315 00:15:43,200 --> 00:15:45,960 Speaker 2: Now I got a question. Okay, mm hm oh, what 316 00:15:46,080 --> 00:15:46,640 Speaker 2: got too many? 317 00:15:46,800 --> 00:15:49,800 Speaker 1: Because I do want to talk about DNA methilation and 318 00:15:49,960 --> 00:15:52,920 Speaker 1: those signatures, but I also want to know, because methilation 319 00:15:53,040 --> 00:15:56,240 Speaker 1: is not always permanent to track aging, is there a 320 00:15:56,400 --> 00:15:59,600 Speaker 1: case where you can reverse that? Like if I have 321 00:15:59,720 --> 00:16:02,840 Speaker 1: five days in the city in two days outside the city, 322 00:16:02,880 --> 00:16:06,680 Speaker 1: am I able to reverse my sensitivity to future insult 323 00:16:07,040 --> 00:16:07,640 Speaker 1: in any way? 324 00:16:07,720 --> 00:16:07,840 Speaker 2: Like? 325 00:16:07,920 --> 00:16:10,560 Speaker 1: Is there any evidence of that? Because I wonder about 326 00:16:10,600 --> 00:16:12,720 Speaker 1: people who live in cities like TT and I visited 327 00:16:12,760 --> 00:16:16,920 Speaker 1: Brussels and we barely made it and everybody else was 328 00:16:16,920 --> 00:16:20,440 Speaker 1: walking around fine. Now, why is that. 329 00:16:20,400 --> 00:16:22,480 Speaker 3: As good as you mentioned Brussels, because there is this 330 00:16:22,600 --> 00:16:25,000 Speaker 3: idea people grow up in certain contexts and so they 331 00:16:25,400 --> 00:16:29,240 Speaker 3: bodies are adjusted to different levels of all types of 332 00:16:29,280 --> 00:16:32,520 Speaker 3: environmental exposures, air pollution included. Now, that doesn't mean that 333 00:16:32,600 --> 00:16:34,840 Speaker 3: it isn't impacting them health wise. 334 00:16:35,240 --> 00:16:36,760 Speaker 4: It doesn't mean that it's you know, good. 335 00:16:36,560 --> 00:16:38,720 Speaker 3: For them or it's neutral for them, just because they 336 00:16:38,720 --> 00:16:41,360 Speaker 3: were walking around the city fine and you and TT 337 00:16:41,520 --> 00:16:43,760 Speaker 3: were not. But it does mean that they're more used 338 00:16:43,760 --> 00:16:45,320 Speaker 3: to the levels that are there and they're not going 339 00:16:45,400 --> 00:16:48,120 Speaker 3: to have some of those immediate responses that you had. 340 00:16:48,480 --> 00:16:49,720 Speaker 4: But is it reversible? 341 00:16:50,160 --> 00:16:53,840 Speaker 3: That's really one of these sort of wholly grail questions 342 00:16:53,880 --> 00:16:57,520 Speaker 3: of environmental health is at what point does environmental damage 343 00:16:57,560 --> 00:17:01,000 Speaker 3: become irreversible? At what point is it still in a 344 00:17:01,080 --> 00:17:03,920 Speaker 3: reversible phase? And how do we reverse those? So, you know, 345 00:17:03,960 --> 00:17:06,760 Speaker 3: you talked about how DNA methylation is reversible. There's an 346 00:17:06,760 --> 00:17:10,040 Speaker 3: interesting study down on smoking years ago where they looked 347 00:17:10,040 --> 00:17:13,520 Speaker 3: at people who were smokers and then quit smoking, people 348 00:17:13,560 --> 00:17:16,359 Speaker 3: who were never smokers, and people who were smokers and 349 00:17:16,400 --> 00:17:19,840 Speaker 3: then continued smoking throughout the entire study period. And what 350 00:17:19,880 --> 00:17:23,000 Speaker 3: they found is that compared to never smokers, people who 351 00:17:23,000 --> 00:17:25,320 Speaker 3: are smokers and then quit smoking. 352 00:17:25,800 --> 00:17:27,359 Speaker 4: Some of their DNA methylation. 353 00:17:27,080 --> 00:17:29,960 Speaker 3: Sites would sort of go up with the current smokers 354 00:17:30,160 --> 00:17:32,359 Speaker 3: and then level off. You could sort of almost see 355 00:17:32,680 --> 00:17:34,359 Speaker 3: the point at which you know they're smoking sort of 356 00:17:34,359 --> 00:17:38,200 Speaker 3: plateaued for it. Other DNA methilation sites continued on as 357 00:17:38,280 --> 00:17:41,560 Speaker 3: if they had never stopped smoking. So clearly something had 358 00:17:41,560 --> 00:17:45,919 Speaker 3: been reprogrammed within the cellar machinery to where it was like, 359 00:17:46,000 --> 00:17:49,280 Speaker 3: I'm on a different path now, even if you stop smoking, 360 00:17:49,320 --> 00:17:51,560 Speaker 3: I'm not necessarily going to return to that path now. 361 00:17:51,920 --> 00:17:54,399 Speaker 3: We believe that most of the is reversible most of 362 00:17:54,440 --> 00:17:57,000 Speaker 3: the time, when you remove the environmental insult over time, 363 00:17:57,040 --> 00:18:00,919 Speaker 3: the body has an incredible ability to heal itself. Unfortunately, 364 00:18:00,920 --> 00:18:04,200 Speaker 3: there are a few sort of threshold points oftentimes when 365 00:18:04,200 --> 00:18:09,440 Speaker 3: you develop things like cardiovascular disease or kidney disease or COPD, 366 00:18:09,880 --> 00:18:13,040 Speaker 3: where we know that those conditions are not necessarily reversible, 367 00:18:13,320 --> 00:18:15,720 Speaker 3: and so a lot of personalized health, a lot of 368 00:18:15,760 --> 00:18:19,000 Speaker 3: preventative health, is about understanding what the person's exposed to 369 00:18:19,119 --> 00:18:22,479 Speaker 3: before you get to any of these irreversible steps and 370 00:18:22,520 --> 00:18:25,720 Speaker 3: giving them the options to reverse them. Number one by 371 00:18:25,800 --> 00:18:29,000 Speaker 3: removing the exposure or reducing the exposure, and number two 372 00:18:29,000 --> 00:18:31,520 Speaker 3: by taking interventions that might be able to act against that. 373 00:18:31,680 --> 00:18:34,600 Speaker 3: And we're still working on the interventions phrase of it. 374 00:18:34,640 --> 00:18:36,679 Speaker 3: But what we hope is that when we get to 375 00:18:36,720 --> 00:18:39,840 Speaker 3: a more personalized state of environmental health, will really be 376 00:18:39,880 --> 00:18:42,520 Speaker 3: able to say, Okay, here's what you were exposed to, 377 00:18:43,040 --> 00:18:45,679 Speaker 3: here's where you are. We think this is still reversible, 378 00:18:45,960 --> 00:18:48,560 Speaker 3: here's what you should do. Come back in and we'll 379 00:18:48,560 --> 00:18:49,439 Speaker 3: see if it's working. 380 00:18:49,760 --> 00:18:50,160 Speaker 2: Wow. 381 00:18:50,400 --> 00:18:52,199 Speaker 1: One part of what you said that stuck out to 382 00:18:52,200 --> 00:18:55,600 Speaker 1: me was the policy and the regulations of it all. 383 00:18:55,880 --> 00:18:57,360 Speaker 2: In a formal life, I was a FED. 384 00:18:57,400 --> 00:18:59,440 Speaker 1: I worked for the National Institute of Standards Technology, which 385 00:18:59,480 --> 00:19:01,320 Speaker 1: I have I was not allowed to say on this show, 386 00:19:01,320 --> 00:19:02,840 Speaker 1: but now I can because I don't work there anymore. 387 00:19:03,240 --> 00:19:05,719 Speaker 1: So I know that standards and policy can be a 388 00:19:05,720 --> 00:19:10,640 Speaker 1: really tricky place, you know, and creating national standards, creating 389 00:19:10,800 --> 00:19:14,960 Speaker 1: national policy, it's a long road, and it takes a 390 00:19:15,000 --> 00:19:19,240 Speaker 1: lot of really smart people like Ukavin to really push 391 00:19:19,359 --> 00:19:25,080 Speaker 1: for these changes and explain to our representatives in government 392 00:19:25,359 --> 00:19:28,760 Speaker 1: why this is so important, and leaning on places like 393 00:19:28,840 --> 00:19:32,240 Speaker 1: the EPA and things like that to put these documents 394 00:19:32,320 --> 00:19:34,760 Speaker 1: together and to stress the importance of this. So if 395 00:19:34,760 --> 00:19:38,360 Speaker 1: there's limit it to a certain point. How much are 396 00:19:38,400 --> 00:19:41,560 Speaker 1: we talking about here and are they reducing the damage 397 00:19:41,600 --> 00:19:45,800 Speaker 1: actually or should we keep pushing our policymakers to do 398 00:19:45,920 --> 00:19:47,160 Speaker 1: more in that area. 399 00:19:47,480 --> 00:19:49,200 Speaker 4: Yeah, yeah, it's great as you break up that point. 400 00:19:49,359 --> 00:19:51,600 Speaker 3: I'm also a former FED you know, which I could 401 00:19:51,600 --> 00:19:53,320 Speaker 3: say because I can say former in front of it, 402 00:19:53,760 --> 00:19:56,720 Speaker 3: former EPA employee. And you're right, you know, the policy 403 00:19:56,760 --> 00:20:00,560 Speaker 3: making process is slow. It is complex. It's not even 404 00:20:00,680 --> 00:20:03,080 Speaker 3: multi year. It can be thought of as multi decade, 405 00:20:03,200 --> 00:20:06,040 Speaker 3: you know, in some contexts. And you know, there's a 406 00:20:06,080 --> 00:20:08,080 Speaker 3: lot of good reasons for that. The policies that we 407 00:20:08,160 --> 00:20:11,720 Speaker 3: set are based on the best science that's available. Currently, 408 00:20:12,080 --> 00:20:15,360 Speaker 3: the National Ambient Air Quality Standard, the sort of policy 409 00:20:15,640 --> 00:20:18,360 Speaker 3: that says ambient air standards for PM two point five, 410 00:20:18,440 --> 00:20:21,480 Speaker 3: those fine particulates that can really get deep down into 411 00:20:21,480 --> 00:20:24,040 Speaker 3: the lungs, is nine microgrounds for cubic meter and that 412 00:20:24,119 --> 00:20:27,120 Speaker 3: was recently moved down from twelve microgrounds for comubic meter. 413 00:20:27,440 --> 00:20:28,720 Speaker 3: And I know a lot of people that would argue 414 00:20:28,760 --> 00:20:30,720 Speaker 3: it should go even lower than that, and there's good 415 00:20:30,760 --> 00:20:33,240 Speaker 3: science I think to support that as well. 416 00:20:33,800 --> 00:20:36,560 Speaker 4: But because policy is so. 417 00:20:36,440 --> 00:20:39,120 Speaker 3: Slow, it's designed to be slow so that everybody has 418 00:20:39,119 --> 00:20:40,960 Speaker 3: a chance to weigh in on it so that you 419 00:20:41,080 --> 00:20:43,800 Speaker 3: get it right and you're not revising it the next 420 00:20:43,880 --> 00:20:46,959 Speaker 3: year or the next month, hopefully, although we see policy 421 00:20:47,000 --> 00:20:49,920 Speaker 3: revisions happening quite quickly. Now, there have to be other 422 00:20:50,000 --> 00:20:53,840 Speaker 3: tools besides just national policy that can help people protect that. 423 00:20:53,960 --> 00:20:57,080 Speaker 3: And you know, there's state policies, there's local policies, but 424 00:20:57,119 --> 00:20:59,679 Speaker 3: there also have to be better tools for individuals to 425 00:20:59,680 --> 00:21:01,879 Speaker 3: start be able to protect their health as well, and 426 00:21:01,920 --> 00:21:04,439 Speaker 3: those work in conjunction with those policies. You know, you 427 00:21:04,480 --> 00:21:07,399 Speaker 3: can't put the onus all on the individual, but you 428 00:21:07,480 --> 00:21:10,600 Speaker 3: can't only expect once in a decade, once in a 429 00:21:10,680 --> 00:21:14,400 Speaker 3: multi decade setting of national policy to be the only 430 00:21:14,440 --> 00:21:16,320 Speaker 3: thing that's going to pray able to protect us. 431 00:21:16,400 --> 00:21:20,800 Speaker 1: And especially to respond to changing landscapes. I don't see 432 00:21:20,800 --> 00:21:23,600 Speaker 1: the set in the eighties. Doesn't see a data center coming. 433 00:21:23,400 --> 00:21:26,440 Speaker 4: On your block right right, It certainly doesn't, Mater. 434 00:21:26,600 --> 00:21:29,440 Speaker 1: So I'm thinking about this, and I like your answer 435 00:21:29,560 --> 00:21:32,040 Speaker 1: about the owners not being in any one place. So 436 00:21:32,119 --> 00:21:36,560 Speaker 1: let's move from government side to individual Because recently, because 437 00:21:36,600 --> 00:21:40,320 Speaker 1: I'm pretty much off x in on threads now, I 438 00:21:40,359 --> 00:21:43,840 Speaker 1: saw somebody talking about an indoor air quality monitor, and 439 00:21:44,040 --> 00:21:46,439 Speaker 1: I think they were based in Europe, but he was saying, like, 440 00:21:46,840 --> 00:21:50,000 Speaker 1: right now, if you've been heating stuff like older homes 441 00:21:50,000 --> 00:21:53,880 Speaker 1: to have like stoves and stuff inside to warm them furnaces. 442 00:21:54,480 --> 00:21:57,240 Speaker 1: I remember I remember a kerosene heater as a kid 443 00:21:57,280 --> 00:21:59,600 Speaker 1: and being like, this smell is strange. We shouldn't be 444 00:21:59,720 --> 00:22:05,320 Speaker 1: using this inside good good instincts there things like closed windows, 445 00:22:05,359 --> 00:22:08,679 Speaker 1: like are there health risks that people are taking to 446 00:22:08,760 --> 00:22:11,040 Speaker 1: stay warm that they're not aware of? And what kind 447 00:22:11,080 --> 00:22:13,280 Speaker 1: of tools should you be using? I just am curious, 448 00:22:13,280 --> 00:22:14,960 Speaker 1: And then that's just a little bit of a question, 449 00:22:15,000 --> 00:22:17,920 Speaker 1: and the bigger question, this is my problem. The long 450 00:22:18,040 --> 00:22:20,879 Speaker 1: question is thinking about what you said about those checkpoints 451 00:22:20,880 --> 00:22:24,920 Speaker 1: that are irreversible, and thinking about accumulation of methylation that 452 00:22:25,320 --> 00:22:29,560 Speaker 1: leads to worse outcomes and aging. We already are living 453 00:22:29,680 --> 00:22:32,880 Speaker 1: longer lives than before, So what does it mean as 454 00:22:32,880 --> 00:22:35,439 Speaker 1: you get older? What's the plan are you saving us? 455 00:22:35,520 --> 00:22:35,800 Speaker 2: Kevin? 456 00:22:36,040 --> 00:22:38,520 Speaker 4: I'm working on it, working on it daily. 457 00:22:38,680 --> 00:22:41,480 Speaker 3: Those are all really good questions, and I think part 458 00:22:41,480 --> 00:22:44,840 Speaker 3: of what we have to balance is this idea of 459 00:22:45,600 --> 00:22:49,679 Speaker 3: health risks versus living our lives to a certain degree. 460 00:22:49,960 --> 00:22:53,800 Speaker 3: I personally I love burning my fireplace. It just brings 461 00:22:53,800 --> 00:22:56,359 Speaker 3: me joy to sit inside with a nice roaring fire, 462 00:22:56,640 --> 00:22:58,840 Speaker 3: glass of wine, relaxing. 463 00:22:59,200 --> 00:23:00,919 Speaker 4: You know, that makes me happy. 464 00:23:01,440 --> 00:23:04,720 Speaker 3: But I know that every year I get my chimney checked, 465 00:23:04,760 --> 00:23:06,360 Speaker 3: make sure there's good ventilation. 466 00:23:06,000 --> 00:23:08,639 Speaker 2: Through there, all right, let me write that down. 467 00:23:10,400 --> 00:23:14,119 Speaker 3: If you can, you know, have good cross ventilation throughout 468 00:23:14,160 --> 00:23:16,720 Speaker 3: your space to try and limit any particles. 469 00:23:16,240 --> 00:23:17,160 Speaker 4: You know, to come in there. 470 00:23:17,359 --> 00:23:19,200 Speaker 3: Part of that sort of defeats the purpose of getting 471 00:23:19,200 --> 00:23:21,640 Speaker 3: that nice warmth off the fire. But the nice warmth 472 00:23:21,760 --> 00:23:23,880 Speaker 3: is coming with a few additional things in the air 473 00:23:23,960 --> 00:23:24,360 Speaker 3: for you. 474 00:23:25,200 --> 00:23:25,880 Speaker 4: And then if you. 475 00:23:25,880 --> 00:23:28,960 Speaker 3: Can get a good air quality monitor, you know, for 476 00:23:29,040 --> 00:23:31,600 Speaker 3: inside and use it sort of see how is your 477 00:23:31,640 --> 00:23:34,400 Speaker 3: home performing? What is the air quality inside of your home? 478 00:23:34,560 --> 00:23:36,560 Speaker 3: Like I imagine a lot of people will be surprised. They'll 479 00:23:36,600 --> 00:23:39,600 Speaker 3: be surprised at not just you know, whether it's higher 480 00:23:39,680 --> 00:23:41,959 Speaker 3: or lower, but what are the activities that contribute to 481 00:23:42,000 --> 00:23:42,879 Speaker 3: it going up. 482 00:23:42,920 --> 00:23:44,760 Speaker 4: When I'm installed one, I was really surprised. 483 00:23:44,800 --> 00:23:47,639 Speaker 3: I could see every time I was cooking something on 484 00:23:47,680 --> 00:23:49,560 Speaker 3: the stove, especially if I was cooking in some oil, 485 00:23:49,920 --> 00:23:52,760 Speaker 3: those air quality particulates tick up quite a bit higher. 486 00:23:53,080 --> 00:23:54,719 Speaker 3: You can even see it with something as small as 487 00:23:54,720 --> 00:23:57,840 Speaker 3: burning candles, especially if it's near your monitor. Those flames 488 00:23:57,840 --> 00:23:59,359 Speaker 3: that are coming off there at the tip of that 489 00:23:59,400 --> 00:24:03,320 Speaker 3: candles a lot of ultrafying particulates. It's not enough, necessarily, 490 00:24:03,400 --> 00:24:05,920 Speaker 3: like I said, to harm you, unless it were a constant, 491 00:24:06,000 --> 00:24:09,880 Speaker 3: chronic exposure. Most people aren't burning wood in an unventilated 492 00:24:09,880 --> 00:24:13,359 Speaker 3: home all day, but if you think back twenty thirty 493 00:24:13,400 --> 00:24:15,800 Speaker 3: forty years ago, that was much more common. 494 00:24:16,080 --> 00:24:17,000 Speaker 4: And if you think. 495 00:24:16,840 --> 00:24:20,680 Speaker 3: About places that don't have common indoor heating, biomass heating 496 00:24:20,760 --> 00:24:23,879 Speaker 3: inside the home with poor ventilation is really common. So 497 00:24:23,920 --> 00:24:26,760 Speaker 3: you talk about, you know, we're living longer. A lot 498 00:24:26,800 --> 00:24:30,879 Speaker 3: of that living longer is due to understanding and reducing 499 00:24:30,920 --> 00:24:33,600 Speaker 3: our environmental risks. And that comes along just as we 500 00:24:33,680 --> 00:24:37,080 Speaker 3: sort of understood that hand washing was important and with 501 00:24:37,119 --> 00:24:40,320 Speaker 3: that sort of greatly improved hospital related outcomes, and then 502 00:24:40,320 --> 00:24:43,679 Speaker 3: we start to understand, okay, infectious disease is important. You know, 503 00:24:43,720 --> 00:24:46,760 Speaker 3: I would say the last fifty years has really been 504 00:24:46,800 --> 00:24:51,600 Speaker 3: a substantial improvement in reducing environmental solution, especially within developed 505 00:24:51,640 --> 00:24:53,639 Speaker 3: nations in the United States, and you know, one of 506 00:24:53,680 --> 00:24:56,600 Speaker 3: the biggest improvements is our improvement in air quality. But 507 00:24:56,720 --> 00:25:00,960 Speaker 3: now it's about preserving those games. Now was about we've 508 00:25:00,960 --> 00:25:03,600 Speaker 3: gotten here, how do we get more out of it? 509 00:25:03,640 --> 00:25:06,720 Speaker 3: How do we preserve what we got through fifty years 510 00:25:06,720 --> 00:25:10,200 Speaker 3: of environmental regulation and fifty years of improvement and infectious 511 00:25:10,240 --> 00:25:14,600 Speaker 3: disease responses. And that means costly evolving, costly pushing the 512 00:25:14,600 --> 00:25:16,800 Speaker 3: signs on the low forward, and costly going to people 513 00:25:16,920 --> 00:25:19,560 Speaker 3: new tools that can directly improve their health. 514 00:25:33,680 --> 00:25:36,280 Speaker 1: One of the things that I remember from back when 515 00:25:36,280 --> 00:25:37,919 Speaker 1: we were in grad school and the research that you 516 00:25:37,960 --> 00:25:41,719 Speaker 1: were doing that has always stuck with me is like, 517 00:25:42,160 --> 00:25:45,840 Speaker 1: how depending on what your zip code is, that dictates 518 00:25:45,880 --> 00:25:48,760 Speaker 1: your exposure. We talked to somebody on the show who 519 00:25:48,800 --> 00:25:51,399 Speaker 1: talked about like the highways and byways and how a 520 00:25:51,440 --> 00:25:54,840 Speaker 1: lot of black communities were put that, Like those highways 521 00:25:54,840 --> 00:25:58,800 Speaker 1: were built around black communities, through the neighborhood, through the neighborhoods, 522 00:25:59,080 --> 00:26:06,479 Speaker 1: through the middle and there are just specific groups of 523 00:26:06,560 --> 00:26:09,600 Speaker 1: people who are more impacted than others. 524 00:26:09,640 --> 00:26:11,080 Speaker 2: Can you talk about that a little bit? 525 00:26:11,480 --> 00:26:13,560 Speaker 4: Yeah? Absolutely. You talked about the zip codes. 526 00:26:13,760 --> 00:26:15,280 Speaker 3: You know, I say tell me your zip code, and 527 00:26:15,280 --> 00:26:16,880 Speaker 3: I can tell you how long you're likely to live. 528 00:26:17,680 --> 00:26:22,280 Speaker 3: It's really it can be that powerful of a predictor. 529 00:26:22,640 --> 00:26:26,880 Speaker 3: So your zip code really is a very strong predictor 530 00:26:27,119 --> 00:26:30,240 Speaker 3: of lifespan, how long you're going to live, and health span, 531 00:26:30,320 --> 00:26:32,280 Speaker 3: how many healthy years are you going to get, what 532 00:26:32,440 --> 00:26:34,919 Speaker 3: chronic diseases are you most at risk from? And this 533 00:26:34,960 --> 00:26:37,800 Speaker 3: is for a number of reasons, primarily the socio economic 534 00:26:37,920 --> 00:26:42,399 Speaker 3: factors of it, understanding what your access to resources, what's 535 00:26:42,560 --> 00:26:45,440 Speaker 3: likely your income, and then also what are you likely 536 00:26:45,480 --> 00:26:46,359 Speaker 3: being exposed to. 537 00:26:47,000 --> 00:26:48,920 Speaker 4: We understand there's a huge. 538 00:26:48,600 --> 00:26:52,560 Speaker 3: Body of research showing that lower socio economics as communities 539 00:26:52,600 --> 00:26:56,040 Speaker 3: have been impacted more by environmental exposures. 540 00:26:56,040 --> 00:26:57,440 Speaker 4: And that's not an accidental thing. 541 00:26:57,920 --> 00:27:01,159 Speaker 3: That is because you know, that's where the industry is put, 542 00:27:01,600 --> 00:27:06,440 Speaker 3: that's where landfills are put, that's where highways cross. Oftentimes 543 00:27:06,440 --> 00:27:09,439 Speaker 3: because those communities don't have the political power to protect themselves. 544 00:27:09,840 --> 00:27:11,920 Speaker 3: And so I think that's part of where you set 545 00:27:11,920 --> 00:27:14,639 Speaker 3: a beginning that awareness becomes such a big part of 546 00:27:14,800 --> 00:27:17,240 Speaker 3: a tool that you can use to protect your environmental health. 547 00:27:17,400 --> 00:27:19,320 Speaker 4: The more of these communities are aware. 548 00:27:19,040 --> 00:27:20,600 Speaker 3: Of the factors that are going on in there, and 549 00:27:20,680 --> 00:27:23,720 Speaker 3: a lot of them are very aware and gaining the 550 00:27:23,760 --> 00:27:26,040 Speaker 3: political power to push back. They're able to push back, 551 00:27:26,040 --> 00:27:28,920 Speaker 3: and you're able to see industry close or move out 552 00:27:29,000 --> 00:27:31,320 Speaker 3: of some of these areas, you're able to see highways 553 00:27:31,440 --> 00:27:35,120 Speaker 3: not being built through the middle of minority communities, especially 554 00:27:35,119 --> 00:27:38,119 Speaker 3: black communities here within the United States, And then what 555 00:27:38,200 --> 00:27:40,720 Speaker 3: we're able to do then it starts to understand, Okay, well, 556 00:27:40,720 --> 00:27:43,480 Speaker 3: how do we tackle the existing social economic disparities and 557 00:27:43,560 --> 00:27:46,240 Speaker 3: how they contribute to health. And what we've seen time 558 00:27:46,280 --> 00:27:48,800 Speaker 3: and time again is that those who are the most 559 00:27:48,840 --> 00:27:52,280 Speaker 3: sois economically disadvantaged, who have the least access to resources, 560 00:27:52,359 --> 00:27:56,600 Speaker 3: including medical resources, but also community resources. People who don't 561 00:27:56,600 --> 00:27:59,840 Speaker 3: have access to healthy foods, who live in these food deserts, they. 562 00:27:59,800 --> 00:28:02,320 Speaker 4: Are more responsive to air pollution. 563 00:28:02,800 --> 00:28:05,480 Speaker 3: Just going back to the ways that your body becomes 564 00:28:05,520 --> 00:28:08,560 Speaker 3: sort of broken down over time by all the things 565 00:28:08,560 --> 00:28:11,680 Speaker 3: that happen to it, those things influence what your next 566 00:28:11,720 --> 00:28:14,000 Speaker 3: response is going to be. And so if you're a 567 00:28:14,000 --> 00:28:17,000 Speaker 3: person who's not been able to go to the doctor 568 00:28:17,359 --> 00:28:20,240 Speaker 3: and get regular preventative health checks, and you're not somebody 569 00:28:20,240 --> 00:28:23,000 Speaker 3: who's been able to eat healthy because you simply don't 570 00:28:23,000 --> 00:28:26,679 Speaker 3: have access to those foods and you know you're working 571 00:28:26,760 --> 00:28:29,440 Speaker 3: two jobs to make enough income, you know, to live, 572 00:28:30,000 --> 00:28:34,800 Speaker 3: that stress contributes to say, a wildfire happening in your 573 00:28:34,840 --> 00:28:39,240 Speaker 3: area and now as compared to somebody who's social economically advantage, 574 00:28:39,880 --> 00:28:42,400 Speaker 3: they might be having very similar profiles in a lot 575 00:28:42,440 --> 00:28:45,320 Speaker 3: of ways, but those social economic differences added up over 576 00:28:45,440 --> 00:28:48,360 Speaker 3: time mean that they might have a much better response 577 00:28:48,720 --> 00:28:52,240 Speaker 3: or a much lower response to a wildfire episode or 578 00:28:52,280 --> 00:28:55,479 Speaker 3: something like that than a more social economically disadvantaged person. 579 00:28:55,520 --> 00:29:01,080 Speaker 3: And so there's no extracting environmental health from social economic 580 00:29:01,120 --> 00:29:03,720 Speaker 3: health disparities. Been there, and so I feel those things 581 00:29:03,760 --> 00:29:06,360 Speaker 3: really as intricately linked. And I talked about part of 582 00:29:06,400 --> 00:29:08,840 Speaker 3: my mission is to reduce health disparities, because I believe 583 00:29:08,840 --> 00:29:11,360 Speaker 3: that if we can improve environmental health, you're going to 584 00:29:11,440 --> 00:29:14,600 Speaker 3: directly improve health disparities because the people that are being 585 00:29:14,680 --> 00:29:17,400 Speaker 3: most impacted by the environment are the people who have 586 00:29:17,440 --> 00:29:22,520 Speaker 3: the least access to political resources, economic resources, and social resources. 587 00:29:23,600 --> 00:29:27,400 Speaker 2: This is making me. I'm just tying it together, especially 588 00:29:27,440 --> 00:29:30,680 Speaker 2: with that example you just gave Cavian about you know, 589 00:29:30,920 --> 00:29:35,479 Speaker 2: historically where you come from. These things accumulate and I'm like, oh, 590 00:29:35,920 --> 00:29:38,719 Speaker 2: the first question was like, oh, this is it epigenetic, 591 00:29:38,760 --> 00:29:42,120 Speaker 2: And I'm like, yes, girls, methylation. And then I'm like, well, 592 00:29:42,280 --> 00:29:45,360 Speaker 2: is it inherited across generations? The same way that we 593 00:29:45,400 --> 00:29:47,920 Speaker 2: think about like, what was this the Swedish potato? Was 594 00:29:47,920 --> 00:29:49,080 Speaker 2: it Swedish or Irish? 595 00:29:49,200 --> 00:29:53,360 Speaker 1: Wait a minute before you get any deeper, please educate 596 00:29:53,400 --> 00:29:59,040 Speaker 1: the sorry me epigenetic I need a refresher. So there 597 00:29:59,040 --> 00:30:01,880 Speaker 1: are genetic changes, and so we think about mutations. We 598 00:30:01,920 --> 00:30:06,320 Speaker 1: think about DNA having four nucleotized ATC and G and 599 00:30:06,360 --> 00:30:08,560 Speaker 1: if they are changed, like we think about that's a 600 00:30:08,640 --> 00:30:11,959 Speaker 1: genetic change, right, a mutation changing. Think of it as 601 00:30:12,040 --> 00:30:13,240 Speaker 1: changing the letters in a book. 602 00:30:13,360 --> 00:30:13,800 Speaker 2: Okay. 603 00:30:14,440 --> 00:30:17,960 Speaker 1: We can think about epigenetic changes as changes that don't 604 00:30:18,000 --> 00:30:22,280 Speaker 1: change materially what you read, but change access to different genes. 605 00:30:22,480 --> 00:30:24,080 Speaker 1: And so you may think of it as like a 606 00:30:24,120 --> 00:30:25,800 Speaker 1: lock on a book, or you put a sticker over 607 00:30:25,840 --> 00:30:28,400 Speaker 1: a page and I can't read what it says right there, right, 608 00:30:28,480 --> 00:30:32,080 Speaker 1: So if that's an epigenetic change, and that's on your DNA, 609 00:30:32,720 --> 00:30:36,960 Speaker 1: I'm asking if your mom grew up in a place, 610 00:30:37,040 --> 00:30:40,800 Speaker 1: if she had low socioeconomic status and she was exposed 611 00:30:40,840 --> 00:30:42,240 Speaker 1: to a lot of Pollutionis she grew up in a 612 00:30:42,240 --> 00:30:44,200 Speaker 1: place where she didn't have central heat and so they 613 00:30:44,360 --> 00:30:48,200 Speaker 1: ran kerosene heaters or they had fireplaces burning biomass like 614 00:30:48,240 --> 00:30:51,240 Speaker 1: Caven said, and she had early exposure if she's accumulating 615 00:30:51,280 --> 00:30:55,160 Speaker 1: stickers and locks on that book, do you inherit those 616 00:30:55,200 --> 00:30:59,880 Speaker 1: stickers in locks? Okay, so that's what I'm asking Cavino. 617 00:31:00,200 --> 00:31:00,640 Speaker 2: Air pollution. 618 00:31:00,720 --> 00:31:03,440 Speaker 1: Now, we know some of these things conditionally around other 619 00:31:03,640 --> 00:31:06,320 Speaker 1: types of exposure. We know some of this stuff maybe 620 00:31:06,360 --> 00:31:10,320 Speaker 1: even with like chemical exposure, but I guess air pollution 621 00:31:10,520 --> 00:31:13,560 Speaker 1: is in some ways chemical exposure. Everything's chemicals. 622 00:31:13,720 --> 00:31:16,040 Speaker 4: Air pollution is absolutely a chemical exposure. 623 00:31:16,160 --> 00:31:18,960 Speaker 2: So is it clear that it is inherited? 624 00:31:19,720 --> 00:31:20,440 Speaker 4: I think there is. 625 00:31:21,040 --> 00:31:25,560 Speaker 3: Absolutely there is generational inheritance of DNA methylation patterns of there. 626 00:31:26,120 --> 00:31:30,880 Speaker 3: Now the mechanisms by which that happens are still unknown, 627 00:31:31,040 --> 00:31:34,920 Speaker 3: but absolutely we have seen in the literature that the 628 00:31:34,960 --> 00:31:41,400 Speaker 3: methylation of the parent impacts the potential health and methylation 629 00:31:41,480 --> 00:31:44,400 Speaker 3: status of the child. There's a famous sort of a 630 00:31:44,400 --> 00:31:46,840 Speaker 3: Goody mouse model that's sort of shown that where you 631 00:31:46,840 --> 00:31:50,320 Speaker 3: can have different foods that are rich in methylation, and 632 00:31:50,360 --> 00:31:52,320 Speaker 3: so if you eat these, you'll have just higher levels 633 00:31:52,320 --> 00:31:53,280 Speaker 3: of DNA methylations. 634 00:31:53,280 --> 00:31:56,120 Speaker 4: There's more methylation in your body. 635 00:31:55,880 --> 00:31:58,320 Speaker 3: For you to have access to, and based on the 636 00:31:58,360 --> 00:32:02,240 Speaker 3: foods that the mother eat, the children turn out completely 637 00:32:02,280 --> 00:32:07,160 Speaker 3: differently genetically identical mice, but completely driven by their Methalaysia 638 00:32:07,200 --> 00:32:10,680 Speaker 3: status within there and so as a referred to the 639 00:32:10,800 --> 00:32:14,640 Speaker 3: Dutch famine studyes, which you studied die in the nineteen 640 00:32:14,720 --> 00:32:18,240 Speaker 3: forty nineteen forty five sort of, or that's when the 641 00:32:18,280 --> 00:32:21,520 Speaker 3: people that were part of the study were alive just 642 00:32:21,560 --> 00:32:23,920 Speaker 3: of the World War two, and you have the severe 643 00:32:24,000 --> 00:32:27,000 Speaker 3: famine that happens, and they're what's interesting is that you 644 00:32:27,000 --> 00:32:29,760 Speaker 3: you have the severe famine, you have the offspring of there, 645 00:32:29,840 --> 00:32:33,520 Speaker 3: and then you have their grandchildren, and their grandchildren tended 646 00:32:33,560 --> 00:32:36,640 Speaker 3: to have very different health effects as compared to the parents, 647 00:32:36,840 --> 00:32:38,720 Speaker 3: and it was thought to be this type of epigenetic 648 00:32:38,760 --> 00:32:44,400 Speaker 3: inheritance that the grandparents epigenomes were impacted by this famine 649 00:32:44,440 --> 00:32:46,760 Speaker 3: in such a way that you saw increased risks of 650 00:32:46,800 --> 00:32:49,760 Speaker 3: chronic diseases in the next generation and then especially in 651 00:32:50,160 --> 00:32:54,400 Speaker 3: the grandchildren that were born too. Yeah, so the grandchildren, actually, 652 00:32:54,800 --> 00:32:57,800 Speaker 3: you know, some later studies had even stronger effects than 653 00:32:58,040 --> 00:33:01,880 Speaker 3: you know, the parents had in some cases. So you know, 654 00:33:01,920 --> 00:33:04,320 Speaker 3: it's one of those things where we're still trying to 655 00:33:04,360 --> 00:33:08,720 Speaker 3: work out exactly how that information gets transmitted across generations. 656 00:33:09,160 --> 00:33:11,920 Speaker 3: Is it just in the egg and the sperm, is 657 00:33:11,960 --> 00:33:15,320 Speaker 3: it something else? So you understand that methylation gets overwritten 658 00:33:15,360 --> 00:33:18,239 Speaker 3: during the developmental process, but there's clearly some signatures that 659 00:33:18,280 --> 00:33:21,400 Speaker 3: remain within there. And for me, what I more think about, 660 00:33:21,440 --> 00:33:26,840 Speaker 3: even more than sort of the transgenerational inheritance of epigenetics, 661 00:33:26,920 --> 00:33:30,760 Speaker 3: is just the early life exposures that happen, because your 662 00:33:30,800 --> 00:33:34,560 Speaker 3: early life is the same from a exposure standpoint, It's 663 00:33:34,600 --> 00:33:36,720 Speaker 3: just the same life that your parents are living. So 664 00:33:36,960 --> 00:33:39,280 Speaker 3: you don't even really have to look for the transgenerationalness 665 00:33:39,280 --> 00:33:41,600 Speaker 3: of it. Just look at what life your parents are living. 666 00:33:41,600 --> 00:33:43,640 Speaker 3: What are they exposed to when they're in their you know, 667 00:33:43,720 --> 00:33:46,680 Speaker 3: twenties and thirties and they're raising the young child, and 668 00:33:46,720 --> 00:33:48,760 Speaker 3: you think about, you know, the young child being much 669 00:33:48,760 --> 00:33:52,520 Speaker 3: more vulnerable just doing to be much smaller. The grams 670 00:33:52,520 --> 00:33:55,040 Speaker 3: per kilogram of exposure is a lot less when you 671 00:33:55,080 --> 00:33:58,400 Speaker 3: are a few kilograms, you know, heavy versus when you're 672 00:33:58,400 --> 00:34:01,480 Speaker 3: an adult. Apologize, I don't know what children's sizes. 673 00:34:01,200 --> 00:34:04,160 Speaker 2: Are, and that's appropriate not involved. 674 00:34:05,800 --> 00:34:09,480 Speaker 3: So yeah, so you know, those early life exposures really matter. 675 00:34:09,520 --> 00:34:12,720 Speaker 3: And there's this entire field, you know, the developmental origins 676 00:34:12,760 --> 00:34:13,320 Speaker 3: of health. 677 00:34:13,080 --> 00:34:15,799 Speaker 4: And disease do had and sort of the acronym they use. 678 00:34:15,760 --> 00:34:18,920 Speaker 3: For it where they're seeing now that going from the 679 00:34:19,120 --> 00:34:22,080 Speaker 3: end utero framework all the way through early life, you 680 00:34:22,080 --> 00:34:26,320 Speaker 3: can see how exposures experience during they are predisposed individual 681 00:34:26,400 --> 00:34:30,440 Speaker 3: to developing chronic diseases later on in life, including obesity 682 00:34:30,440 --> 00:34:35,000 Speaker 3: and adolescence, metabolic disease and early adulthood, and even cardiovascua 683 00:34:35,040 --> 00:34:36,760 Speaker 3: diseases later on in life. 684 00:34:36,800 --> 00:34:39,640 Speaker 1: Then wow, this is just making me think about our 685 00:34:39,680 --> 00:34:43,160 Speaker 1: current state, where we're looking at people losing access to benefits, 686 00:34:43,239 --> 00:34:45,719 Speaker 1: we're looking at a terrible health care system, we're looking 687 00:34:45,719 --> 00:34:50,000 Speaker 1: at maternal care deserts during the most like important developmental time. 688 00:34:50,080 --> 00:34:51,719 Speaker 1: Like I think we've talked about some of this on 689 00:34:51,760 --> 00:34:54,719 Speaker 1: our show before in different labs, but it's just when 690 00:34:54,719 --> 00:34:57,840 Speaker 1: we started stacking those facts up, it's sickning, you know. 691 00:34:58,400 --> 00:35:00,520 Speaker 4: Yeah, it's a accumulation. 692 00:35:00,560 --> 00:35:03,719 Speaker 3: And that's what we're starting to appreciate now is the 693 00:35:03,800 --> 00:35:07,839 Speaker 3: cumulative nature of the exposures and how they stack up 694 00:35:08,120 --> 00:35:11,200 Speaker 3: over time, and how they begin so early on in life, 695 00:35:11,480 --> 00:35:13,840 Speaker 3: and why it's important to target those things early on 696 00:35:13,920 --> 00:35:18,160 Speaker 3: in life so that you're giving everybody an equal chance 697 00:35:18,200 --> 00:35:21,160 Speaker 3: to live a full, happy, healthy life. And that's really 698 00:35:21,160 --> 00:35:24,120 Speaker 3: the greatest disparity that we're trying to address. Where we 699 00:35:24,120 --> 00:35:28,000 Speaker 3: talk about addressing environmental health disparities, is that simply because 700 00:35:28,040 --> 00:35:30,080 Speaker 3: of where you live, because of your zip code, the 701 00:35:30,200 --> 00:35:32,000 Speaker 3: zip code you were born into, the zip code your 702 00:35:32,080 --> 00:35:36,360 Speaker 3: parents are born into, the exposures they received, some people 703 00:35:36,440 --> 00:35:40,320 Speaker 3: have a better chance of having a long healthy life 704 00:35:40,320 --> 00:35:43,080 Speaker 3: than other people do from an early age. And that's 705 00:35:43,200 --> 00:35:46,160 Speaker 3: a fundamental societal disparity that I think if you want 706 00:35:46,160 --> 00:35:48,279 Speaker 3: to call yourself a good society, you have to be 707 00:35:48,600 --> 00:35:51,640 Speaker 3: at least willing to address and address with the full 708 00:35:51,680 --> 00:35:53,520 Speaker 3: weight of everything in your society. 709 00:35:53,520 --> 00:35:55,360 Speaker 4: And it is a full societal problem. 710 00:35:55,760 --> 00:35:58,960 Speaker 3: We've talked about transportation in here, We've talked about national 711 00:35:59,000 --> 00:36:01,360 Speaker 3: policies and the vision policies for it. 712 00:36:01,360 --> 00:36:02,319 Speaker 4: It takes all of. 713 00:36:02,200 --> 00:36:05,160 Speaker 3: That working together to really address these big problems and 714 00:36:05,160 --> 00:36:09,640 Speaker 3: to continually improve our environment because these changes are not 715 00:36:10,040 --> 00:36:12,480 Speaker 3: always guaranteed to be better. Like it is certainly possible 716 00:36:12,520 --> 00:36:14,920 Speaker 3: to regress in our environmental conditions. 717 00:36:14,960 --> 00:36:16,719 Speaker 4: And you know, we've seen. 718 00:36:16,520 --> 00:36:19,120 Speaker 3: Some of that in some particular communities that have been 719 00:36:19,160 --> 00:36:23,240 Speaker 3: impacted by industry moving in, be it data centers, other things. 720 00:36:23,320 --> 00:36:26,040 Speaker 3: You know, we've seen it in the past forty years 721 00:36:26,120 --> 00:36:28,200 Speaker 3: or so with the p FoST story and that industrial 722 00:36:28,280 --> 00:36:32,640 Speaker 3: chemical you know that was never present before now being produced, 723 00:36:33,120 --> 00:36:35,960 Speaker 3: getting into our waterways, and now being a significant health 724 00:36:36,000 --> 00:36:39,840 Speaker 3: concern for billions of people. There's almost nobody on this 725 00:36:39,920 --> 00:36:43,360 Speaker 3: planet that has not been exposed to these forever chemicals 726 00:36:43,600 --> 00:36:46,120 Speaker 3: in one way or another. And we've got to figure out, okay, 727 00:36:46,120 --> 00:36:47,719 Speaker 3: well what do we do with a society about this? 728 00:36:47,760 --> 00:36:49,640 Speaker 4: How do we address this? And it's no. 729 00:36:49,640 --> 00:36:52,200 Speaker 3: One, you know, places you can go to say, Okay, 730 00:36:52,440 --> 00:36:54,680 Speaker 3: this is going to be you know, the silver bullet, 731 00:36:54,719 --> 00:36:58,200 Speaker 3: this is going to be the magic bill that fixes everything. 732 00:36:58,320 --> 00:37:01,680 Speaker 3: It takes a whole of government, whole society approach to 733 00:37:01,719 --> 00:37:03,600 Speaker 3: address these, but it's what's needed. 734 00:37:04,440 --> 00:37:07,880 Speaker 1: If you did have a magic wand and you could 735 00:37:07,960 --> 00:37:12,439 Speaker 1: make everything perfect, to change one thing that you feel 736 00:37:12,440 --> 00:37:15,040 Speaker 1: like would have a massive impact on how we approach 737 00:37:15,600 --> 00:37:19,719 Speaker 1: air pollution and how it affects us as a population. 738 00:37:19,880 --> 00:37:21,920 Speaker 2: What would you prioritize. 739 00:37:22,200 --> 00:37:23,440 Speaker 4: Oh, that's a great question. 740 00:37:23,680 --> 00:37:26,920 Speaker 3: A magic wand to fix how we approach air pollution 741 00:37:27,280 --> 00:37:30,799 Speaker 3: and what the priority should be. It's difficult because there 742 00:37:30,840 --> 00:37:34,840 Speaker 3: are so many different sources of air pollution, and some 743 00:37:34,880 --> 00:37:38,440 Speaker 3: of them are natural. But what I would do is 744 00:37:38,480 --> 00:37:42,000 Speaker 3: I would mandate that as part of the healthcare system, 745 00:37:42,200 --> 00:37:47,640 Speaker 3: and environmental assessment be done, be available to everybody, maybe 746 00:37:47,640 --> 00:37:50,040 Speaker 3: even mandated for early in life. And we do this 747 00:37:50,120 --> 00:37:52,239 Speaker 3: a little bit with light testing in there. You know, 748 00:37:52,280 --> 00:37:54,120 Speaker 3: if you come in and there's you know, early signs 749 00:37:54,120 --> 00:37:56,640 Speaker 3: of high lead exposure, they can do, you know, in 750 00:37:56,719 --> 00:37:59,560 Speaker 3: home assessment, look at the dust around the home, is 751 00:37:59,560 --> 00:38:02,720 Speaker 3: there a lead paint somewhere, because we understand how critical 752 00:38:02,760 --> 00:38:06,600 Speaker 3: that is for early childhood mental development, not being exposed 753 00:38:06,640 --> 00:38:09,000 Speaker 3: the high concentrations of lead. But you know, what we 754 00:38:09,040 --> 00:38:11,680 Speaker 3: don't do is to provide that same service throughout the 755 00:38:11,800 --> 00:38:15,080 Speaker 3: entire lifespan. Lead's a problem for exposures even if you're 756 00:38:15,080 --> 00:38:18,440 Speaker 3: an adult, or less so than if you're a child, 757 00:38:18,480 --> 00:38:21,319 Speaker 3: but still there. So I think if we had a 758 00:38:21,360 --> 00:38:26,319 Speaker 3: system nationwide that provided free environmental assessments, anybody could do 759 00:38:26,400 --> 00:38:30,560 Speaker 3: them broad scaled. You can keep the information private, share 760 00:38:30,600 --> 00:38:33,160 Speaker 3: it with your doctors so that they can understand, Okay, 761 00:38:33,160 --> 00:38:36,120 Speaker 3: here's what you're being exposed to. And do this longitudinally 762 00:38:36,120 --> 00:38:39,000 Speaker 3: because the environment changes every year. You can get an 763 00:38:39,040 --> 00:38:42,040 Speaker 3: updated assessment. I look at the water quality, the air quality, 764 00:38:42,320 --> 00:38:44,600 Speaker 3: the soil quality, paints. 765 00:38:44,239 --> 00:38:45,360 Speaker 4: And dusts and other things. 766 00:38:45,640 --> 00:38:48,520 Speaker 3: I think if we had that information and then aggregated 767 00:38:48,520 --> 00:38:50,799 Speaker 3: it so you can understand at the community level what 768 00:38:50,840 --> 00:38:53,240 Speaker 3: communities are being exposed to, where are we seeing different 769 00:38:53,239 --> 00:38:56,520 Speaker 3: problems scrap up that will completely change the landscape, and 770 00:38:56,560 --> 00:39:00,000 Speaker 3: what enable us to do some really innovative environmental studies 771 00:39:00,040 --> 00:39:03,120 Speaker 3: I could really start to address fundamental causes of disease. 772 00:39:04,800 --> 00:39:05,320 Speaker 2: Amazing. 773 00:39:05,719 --> 00:39:07,239 Speaker 1: Is there anything we didn't ask you that you feel 774 00:39:07,280 --> 00:39:08,520 Speaker 1: like it's important that you want to say? 775 00:39:08,800 --> 00:39:11,360 Speaker 3: I would just say that you know, it's really a 776 00:39:11,400 --> 00:39:14,759 Speaker 3: transformative time for environmental health. I think the tools and 777 00:39:14,880 --> 00:39:18,640 Speaker 3: technologies you know that we're using are really going to 778 00:39:18,640 --> 00:39:20,960 Speaker 3: push you on the look forward. Environment health up until 779 00:39:21,000 --> 00:39:23,879 Speaker 3: now has been a cleaning problem. How do we clean 780 00:39:23,960 --> 00:39:26,279 Speaker 3: the air, how do we clean the water? How do 781 00:39:26,320 --> 00:39:29,800 Speaker 3: we clean the soil? And that absolutely is a bedrock 782 00:39:30,320 --> 00:39:32,640 Speaker 3: foundation of the environmental health because the best way to 783 00:39:32,640 --> 00:39:36,120 Speaker 3: prevent environmental exposures or it's just not to have the 784 00:39:36,160 --> 00:39:40,040 Speaker 3: average environment. But that's an impossible task everywhere. And so 785 00:39:40,200 --> 00:39:44,400 Speaker 3: the ability to personalize and there's absolutely going to be 786 00:39:44,440 --> 00:39:46,799 Speaker 3: a role for AI in this for it, and there's 787 00:39:46,840 --> 00:39:48,880 Speaker 3: some new insights that we're able to gain from there 788 00:39:49,280 --> 00:39:51,360 Speaker 3: and some new tools that we're able to make available 789 00:39:51,400 --> 00:39:54,239 Speaker 3: to the individual where if you don't have access, you 790 00:39:54,280 --> 00:39:57,000 Speaker 3: can't get to a doctor, and you've got this complex 791 00:39:57,080 --> 00:39:58,719 Speaker 3: environmental assessment sitting in front of you. 792 00:39:59,160 --> 00:40:01,000 Speaker 4: Okay, well what can you do and the. 793 00:40:01,000 --> 00:40:04,160 Speaker 3: Ability to you know, have a AI based tool that's 794 00:40:04,200 --> 00:40:08,480 Speaker 3: fed in validated scientific the grounded information to say, oh, 795 00:40:08,840 --> 00:40:10,120 Speaker 3: we noticed that this is high. 796 00:40:10,280 --> 00:40:13,440 Speaker 4: This is higher than you know, the national average. 797 00:40:13,760 --> 00:40:17,239 Speaker 3: This is connected to that high cholesterol reading that you 798 00:40:17,320 --> 00:40:19,120 Speaker 3: got from your doctor in there. 799 00:40:19,360 --> 00:40:20,960 Speaker 4: Here's what some of the recommendations are. 800 00:40:21,000 --> 00:40:23,600 Speaker 3: Those types of tools are really being developed, and I 801 00:40:23,600 --> 00:40:26,439 Speaker 3: think people should be aware of them. I think people 802 00:40:26,440 --> 00:40:29,759 Speaker 3: should be talking with their doctors and their healthcare providers 803 00:40:30,120 --> 00:40:34,080 Speaker 3: about getting these things, maybe seeing if an air pusha 804 00:40:34,080 --> 00:40:36,120 Speaker 3: monitor might be FSA eligible. 805 00:40:36,480 --> 00:40:38,640 Speaker 4: Some of these things you know might be, and if they're. 806 00:40:38,520 --> 00:40:41,440 Speaker 3: Not, push for them to be, because there absolutely are 807 00:40:41,480 --> 00:40:42,320 Speaker 3: a part of your health. 808 00:40:46,719 --> 00:40:49,759 Speaker 1: I think this has revealed so many things to me. 809 00:40:49,880 --> 00:40:54,439 Speaker 1: Tt same one. It's the inequalities across the board where 810 00:40:54,440 --> 00:40:56,800 Speaker 1: it's just like people who live in certain zip codes 811 00:40:57,040 --> 00:41:00,040 Speaker 1: are exposed to different things but don't have access to 812 00:41:00,600 --> 00:41:06,319 Speaker 1: interventions to help improve their environment, and so that dictates 813 00:41:06,600 --> 00:41:09,759 Speaker 1: your quality of life. And what we should want as 814 00:41:09,800 --> 00:41:13,680 Speaker 1: global citizens is for everyone to have equal opportunity to 815 00:41:14,320 --> 00:41:17,319 Speaker 1: a high quality life. Yeah, and so what Cavin has 816 00:41:17,400 --> 00:41:20,600 Speaker 1: told us throughout this lab is that it's way more 817 00:41:20,640 --> 00:41:23,160 Speaker 1: complex than we're thinking about. Even inside of our house 818 00:41:23,200 --> 00:41:26,960 Speaker 1: when we're cooking, being aware and just knowing that there 819 00:41:27,000 --> 00:41:31,120 Speaker 1: are things floating around you is more than half the battle. 820 00:41:31,520 --> 00:41:33,680 Speaker 1: Once you are aware, you can do something about it. 821 00:41:33,719 --> 00:41:36,560 Speaker 1: But we I mean, we've seen how information is buried 822 00:41:36,920 --> 00:41:40,160 Speaker 1: or made difficult to obtain, and so I'm really excited 823 00:41:40,160 --> 00:41:42,840 Speaker 1: about some of the technology, but hoping that the technology 824 00:41:42,840 --> 00:41:45,439 Speaker 1: doesn't follow the systems we've always seen, which is once 825 00:41:45,480 --> 00:41:48,680 Speaker 1: again another disparity and who has access to it, And 826 00:41:48,719 --> 00:41:50,520 Speaker 1: so we'll have to keep our eye on this, like 827 00:41:50,560 --> 00:41:54,840 Speaker 1: so many other things. Turn your eyeballs outward and everywhere. Okay, 828 00:41:54,960 --> 00:41:56,080 Speaker 1: flip your eyelids back. 829 00:41:56,239 --> 00:42:00,000 Speaker 2: Okay did you do that as a kid? Flip your eyelids? 830 00:42:00,080 --> 00:42:00,239 Speaker 1: Yes? 831 00:42:00,280 --> 00:42:01,319 Speaker 2: It wasn't right. I was bad. 832 00:42:01,480 --> 00:42:04,240 Speaker 1: Ew I could never do it. I was always so scared. 833 00:42:04,280 --> 00:42:05,600 Speaker 1: I was like, what if they get done? 834 00:42:06,080 --> 00:42:09,360 Speaker 2: Oh no? But yeah, knowing these things is empowerment. 835 00:42:09,520 --> 00:42:11,520 Speaker 1: So you can say, I know that I live in 836 00:42:11,560 --> 00:42:14,080 Speaker 1: a high pollution area, or area with bad air quality, 837 00:42:14,120 --> 00:42:16,480 Speaker 1: and you can take that information to your doctor and say, 838 00:42:16,480 --> 00:42:18,640 Speaker 1: how is this affecting my health and what steps do 839 00:42:18,680 --> 00:42:21,759 Speaker 1: I need to take to improve my overall health? So 840 00:42:21,760 --> 00:42:24,840 Speaker 1: so key, so thank you Kathan for dropping that knowledge 841 00:42:24,840 --> 00:42:28,239 Speaker 1: on us today. Stay tuned, next episode, next week, same time, 842 00:42:28,320 --> 00:42:38,799 Speaker 1: same place. You can find us on X and Instagram 843 00:42:38,840 --> 00:42:40,719 Speaker 1: at Dope Labs podcast. 844 00:42:40,719 --> 00:42:44,440 Speaker 2: Tt is on X and Instagram at dr Underscore t Sho, 845 00:42:44,680 --> 00:42:47,959 Speaker 2: and you can find Zakiya at Z said So. Dope 846 00:42:48,040 --> 00:42:49,920 Speaker 2: Labs is a production of Lemonada Media. 847 00:42:50,080 --> 00:42:53,680 Speaker 1: Our supervising producer is Keegan Zimma and our producer is 848 00:42:53,880 --> 00:42:57,840 Speaker 1: Issara A SEVENZ. Dope Labs is sound designed, edited and 849 00:42:58,000 --> 00:43:02,400 Speaker 1: mixed by James Farber. Leimonada Media's vice President of Partnerships 850 00:43:02,400 --> 00:43:06,920 Speaker 1: and Production is Jackie Danziger. 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