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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:11,678 --> 00:00:13,413 Wow! Oh, who's at the door? 2 00:00:13,480 --> 00:00:14,681 Who's that? 3 00:00:16,049 --> 00:00:18,351 Little baby, hello! 4 00:00:18,418 --> 00:00:20,153 Mwah, mwah, mwah! 5 00:00:20,220 --> 00:00:21,888 Good morning, angel. Mwah! 6 00:00:24,824 --> 00:00:26,602 Right. I'm gonna have a shower. 7 00:00:26,626 --> 00:00:27,460 Enjoy. 8 00:00:27,527 --> 00:00:30,330 Would you mind taking Hugo for me? 9 00:00:30,397 --> 00:00:32,432 Yeah. Come here. Come with me, my baby. 10 00:00:33,466 --> 00:00:34,834 Oh, mwah! 11 00:00:34,901 --> 00:00:37,237 I'll be really quick so you can get on with paella. 12 00:00:37,303 --> 00:00:38,138 - Yeah. - Okay? 13 00:00:38,271 --> 00:00:39,339 Mwah, mwah! 14 00:00:39,406 --> 00:00:40,907 You're gonna go with Granddad. 15 00:00:41,007 --> 00:00:42,742 - Hello, Dad. - Mwah. Morning. 16 00:00:44,911 --> 00:00:46,031 I got everything. 17 00:00:52,852 --> 00:00:54,154 Oh, mwah! 18 00:00:54,954 --> 00:00:56,923 Are you going to help me in a minute? 19 00:00:57,657 --> 00:00:59,025 I cannot do it without you. 20 00:00:59,325 --> 00:01:00,160 Yeah. 21 00:01:00,226 --> 00:01:01,061 Arms up. 22 00:01:01,127 --> 00:01:03,596 Are you going to help Granddad make paella? 23 00:01:03,663 --> 00:01:04,663 Yeah. 24 00:01:08,668 --> 00:01:10,713 - Hugo, smell it. - Don't touch it. 25 00:01:10,737 --> 00:01:11,737 No. 26 00:01:14,174 --> 00:01:16,276 You don't know how good this is, Hugo. 27 00:01:18,044 --> 00:01:21,181 When a baby starts eating with the family, 28 00:01:21,648 --> 00:01:23,650 that's a big moment. 29 00:01:25,418 --> 00:01:28,755 They're embarking on a lifetime of pleasure through food. 30 00:01:29,956 --> 00:01:32,325 But it's not just fun and pleasure. 31 00:01:32,425 --> 00:01:37,530 It also matters what we eat, because it's fundamental 32 00:01:37,864 --> 00:01:41,000 for the development of the body and the mind. 33 00:01:44,437 --> 00:01:46,449 I've never known anyone to make such a mess 34 00:01:46,473 --> 00:01:48,475 like when you cook paella. Look at the floor. 35 00:01:53,313 --> 00:01:55,348 Breast milk isn't what you think it is. 36 00:01:56,116 --> 00:01:57,217 It's not just food. 37 00:01:57,984 --> 00:02:00,353 Some of the most important things in breast milk 38 00:02:00,420 --> 00:02:02,522 are things you'd never imagine were there. 39 00:02:03,756 --> 00:02:05,158 All right. Are we ready? 40 00:02:05,892 --> 00:02:07,994 ♪ Hugo, Hugo, Hugo ♪ 41 00:02:08,061 --> 00:02:09,596 - Dad, are you ready? - Yeah. 42 00:02:09,662 --> 00:02:13,066 - Hugo, look at that. - Oh, my goodness. 43 00:02:13,533 --> 00:02:15,735 Hugo, look at this. 44 00:02:16,069 --> 00:02:18,171 One day, Hugo, you can have paella. 45 00:02:23,977 --> 00:02:25,912 Over the last ten to 15 years, 46 00:02:26,379 --> 00:02:29,082 what we are beginning to understand is that 47 00:02:29,149 --> 00:02:32,485 what babies ingest impacts the immune system. 48 00:02:33,386 --> 00:02:37,323 This relates to whether they develop disease or not later in childhood. 49 00:02:39,559 --> 00:02:41,828 - Hugo broke it. - What happened? 50 00:02:47,000 --> 00:02:50,003 The questions we as scientists would like to know are, 51 00:02:50,537 --> 00:02:52,639 which are the important nutrients, 52 00:02:53,473 --> 00:02:54,741 what do they do, 53 00:02:55,775 --> 00:02:57,177 how do babies get them, 54 00:02:57,610 --> 00:02:59,679 and how does that shape their lives? 55 00:03:38,952 --> 00:03:41,721 Well, baby's heartbeat, it looks good, doesn't it? 56 00:04:01,641 --> 00:04:03,643 Are you okay? You can't talk? 57 00:04:04,344 --> 00:04:05,445 I feel nauseous. 58 00:04:06,045 --> 00:04:07,045 Don't worry. 59 00:04:20,460 --> 00:04:21,527 Well done, baby. 60 00:04:22,028 --> 00:04:23,028 Well done. 61 00:04:25,465 --> 00:04:26,466 I'm so proud of you. 62 00:04:30,770 --> 00:04:32,005 He's all pink. 63 00:04:39,045 --> 00:04:40,780 Welcome to the world, Nelson. 64 00:04:55,828 --> 00:04:58,064 What's happened to Dr. Brit? 65 00:05:01,034 --> 00:05:02,702 So Nelson's a day and a half... 66 00:05:03,803 --> 00:05:05,805 and all's going really well. 67 00:05:08,908 --> 00:05:10,009 Hello, darling. 68 00:05:11,711 --> 00:05:12,711 He's tired. 69 00:05:13,212 --> 00:05:16,049 Little one munching beautifully. 70 00:05:16,316 --> 00:05:18,751 He's really learned how to take the milk. 71 00:05:18,818 --> 00:05:21,587 He's been rooting around and he can even hold his head up. 72 00:05:21,654 --> 00:05:24,324 It's amazing, even after, like, coming up to two days. 73 00:05:28,995 --> 00:05:30,296 Yummy yummy, Mummy. 74 00:05:43,910 --> 00:05:45,078 As an anthropologist, 75 00:05:45,545 --> 00:05:48,881 I'm really interested in the ways that mothers raise their babies. 76 00:05:52,151 --> 00:05:55,922 I became interested in breast milk in the late '90s 77 00:05:56,522 --> 00:06:00,793 because it was something in my field of anthropology 78 00:06:00,860 --> 00:06:02,795 where we'd known a lot about breastfeeding, 79 00:06:03,696 --> 00:06:05,798 but we didn't really know about 80 00:06:05,865 --> 00:06:08,901 the composition of the milk that they're providing. 81 00:06:10,002 --> 00:06:12,472 It was the missing piece of understanding 82 00:06:12,538 --> 00:06:16,743 how mothers nourish, protect, and guide their offspring 83 00:06:17,110 --> 00:06:18,611 through mother's milk. 84 00:06:24,484 --> 00:06:27,687 In the grocery store, there is an entire aisle 85 00:06:27,754 --> 00:06:30,123 dedicated to dairy milk. 86 00:06:30,490 --> 00:06:32,425 It's so common that we miss 87 00:06:32,492 --> 00:06:35,161 the fact that milk's really special. 88 00:06:38,030 --> 00:06:40,099 I hadn't given much thought to milk 89 00:06:40,900 --> 00:06:42,301 before I was in college. 90 00:06:42,568 --> 00:06:45,538 Uh, all I really spent time thinking about was that people teased me 91 00:06:45,605 --> 00:06:47,173 because I drank it with ice cubes. 92 00:06:54,380 --> 00:06:57,984 When I started looking at the scientific literature 93 00:06:58,050 --> 00:06:59,085 about milk... 94 00:07:00,453 --> 00:07:03,156 I was shocked that there was so little research about this. 95 00:07:04,323 --> 00:07:08,227 I can find out more about coffee or erectile dysfunction 96 00:07:08,294 --> 00:07:11,831 than the first food a mammal is adapted to consume. 97 00:07:13,599 --> 00:07:15,535 How does a mother's milk vary? 98 00:07:15,601 --> 00:07:16,702 How much fat is in it? 99 00:07:16,769 --> 00:07:19,338 How much protein? What's the volume? 100 00:07:19,405 --> 00:07:21,808 If she's on her first baby or her fifth baby, 101 00:07:21,874 --> 00:07:23,576 is the milk the same or is it different? 102 00:07:24,510 --> 00:07:25,711 We should know about this! 103 00:07:25,778 --> 00:07:28,614 Why do we not know about this? Why hasn't this been a priority? 104 00:07:38,257 --> 00:07:42,094 I first began my research on breast milk by studying monkeys 105 00:07:42,895 --> 00:07:46,432 because their milk is very similar to human milk. 106 00:07:47,533 --> 00:07:50,436 And they grow up four times faster than humans. 107 00:07:50,870 --> 00:07:54,140 So we get a snapshot of a developmental trajectory 108 00:07:54,207 --> 00:07:55,708 at a much quicker timeline 109 00:07:55,775 --> 00:07:58,211 than anybody can study when they're working with humans. 110 00:08:04,484 --> 00:08:05,551 Hey, sweetie. 111 00:08:10,690 --> 00:08:13,793 When I do my research to study milk in monkeys, 112 00:08:14,193 --> 00:08:16,362 we try and make sure that we disturb the animals 113 00:08:16,429 --> 00:08:17,530 as little as possible. 114 00:08:17,597 --> 00:08:19,717 They spend almost all of their time with their family, 115 00:08:19,765 --> 00:08:22,468 we just collect milk a couple times during lactation. 116 00:08:26,639 --> 00:08:28,908 I had some wonderful mentors 117 00:08:28,975 --> 00:08:30,810 who tried very hard 118 00:08:30,877 --> 00:08:32,712 to dissuade me from studying breast milk. 119 00:08:34,280 --> 00:08:37,283 They thought I was headed down a dead-end road, 120 00:08:37,817 --> 00:08:40,253 that work that had been done in the '80s 121 00:08:40,319 --> 00:08:44,757 showed that the average composition of milk from human populations 122 00:08:45,124 --> 00:08:50,263 was the same in, you know, London as it was in The Gambia. 123 00:08:53,432 --> 00:08:56,802 There was this idea that milk was pretty standardized 124 00:08:56,869 --> 00:08:58,004 among women... 125 00:08:59,505 --> 00:09:01,040 and on top of that... 126 00:09:02,842 --> 00:09:03,676 they told me, 127 00:09:03,743 --> 00:09:06,312 "You'll never be able to milk a monkey." 128 00:09:09,615 --> 00:09:13,085 I think it speaks to both my overwhelming curiosity 129 00:09:13,152 --> 00:09:14,554 about monkey milk, 130 00:09:15,054 --> 00:09:18,324 but also my hubris that I was like, "Okay, I'm gonna do it anyway," 131 00:09:18,724 --> 00:09:20,226 and I was able to milk a monkey. 132 00:09:41,647 --> 00:09:42,647 Hugo. 133 00:09:44,317 --> 00:09:45,484 Hi. 134 00:09:45,851 --> 00:09:47,753 Hi! 135 00:10:06,639 --> 00:10:08,874 I absolutely love the breastfeeding, 136 00:10:08,941 --> 00:10:10,643 and once you've nailed it, 137 00:10:10,710 --> 00:10:13,112 once you go through the horrific beginning, 138 00:10:13,579 --> 00:10:14,780 it is just such a joy. 139 00:10:15,114 --> 00:10:17,249 It is so, so, so special. 140 00:10:22,021 --> 00:10:24,724 I said to myself, "I'll stop at six months," but... 141 00:10:25,725 --> 00:10:27,565 like, he got to five months and I was thinking, 142 00:10:27,593 --> 00:10:29,938 "I've only got a month left of this, this isn't long enough. 143 00:10:29,962 --> 00:10:31,964 I think I'll keep going for a little bit more." 144 00:10:34,133 --> 00:10:37,236 It is so unique and it's something that only I can do for him. 145 00:10:39,538 --> 00:10:40,773 And as a parenting tool, 146 00:10:40,840 --> 00:10:43,520 I don't know how to settle him if I'm not putting him on the breast. 147 00:10:44,710 --> 00:10:45,544 Ads and my dad, 148 00:10:45,611 --> 00:10:49,815 they have all these lovely, fantastic ways of calming him down. 149 00:10:50,182 --> 00:10:52,451 I have one. Like, one. That is it. 150 00:10:52,518 --> 00:10:55,558 I don't know what I'm going to do when I don't know that one anymore, like... 151 00:10:56,956 --> 00:10:59,792 Yeah, I have to read up on some books maybe. 152 00:11:29,555 --> 00:11:30,956 In our lab, 153 00:11:31,023 --> 00:11:34,193 I was looking for patterns in the nutrients of milk. 154 00:11:36,195 --> 00:11:39,065 We used hundreds of monkey milk samples. 155 00:11:40,499 --> 00:11:43,035 We've measured how much fat was in the milk, 156 00:11:43,102 --> 00:11:46,338 how much protein was in the milk, how much carbohydrate was in the milk, 157 00:11:46,405 --> 00:11:48,507 the volume of milk that they were producing, 158 00:11:48,574 --> 00:11:50,876 and at different time points of lactations. 159 00:11:54,280 --> 00:11:57,516 What we got really excited about was that 160 00:11:57,583 --> 00:11:59,819 one of the patterns that we saw... 161 00:12:01,053 --> 00:12:04,590 was a richer, more energetically dense milk for sons. 162 00:12:09,862 --> 00:12:13,632 So the mothers were making a different biological recipe of the milk 163 00:12:13,699 --> 00:12:16,202 whether or not they had a son or a daughter. 164 00:12:18,738 --> 00:12:21,240 So I started to look for other differences in the milk. 165 00:12:22,842 --> 00:12:26,078 We're now boiling a very small amount of milk in acid... 166 00:12:28,848 --> 00:12:31,550 so we can measure how much mineral is in the milk. 167 00:12:34,186 --> 00:12:36,088 And one of the things that we found 168 00:12:36,489 --> 00:12:39,425 was that the calcium phosphorus ratio 169 00:12:39,492 --> 00:12:42,261 was higher for daughters than it was for sons. 170 00:12:44,196 --> 00:12:45,498 And this makes a lot of sense 171 00:12:45,564 --> 00:12:48,200 because we know that the calcium phosphorus ratio 172 00:12:48,267 --> 00:12:49,935 is really important 173 00:12:50,002 --> 00:12:51,237 for bone development. 174 00:12:53,272 --> 00:12:56,909 Skeletal development of daughters is faster than it is for sons 175 00:12:57,343 --> 00:13:01,247 because females reach adulthood quicker than males. 176 00:13:02,882 --> 00:13:06,218 This is the first time such a finding has ever been reported. 177 00:13:07,653 --> 00:13:09,088 It's really preliminary, 178 00:13:09,488 --> 00:13:10,689 but it shows us 179 00:13:11,223 --> 00:13:13,659 how many questions remain to be answered. 180 00:13:17,062 --> 00:13:21,734 I wrote an essay on my blog about the biological recipe of milk 181 00:13:21,801 --> 00:13:23,002 for sons and daughters 182 00:13:23,803 --> 00:13:25,371 and tweeted about it. 183 00:13:25,771 --> 00:13:27,940 A few hours later, I got a tweet back 184 00:13:28,007 --> 00:13:29,642 from a dairy scientist, 185 00:13:30,242 --> 00:13:31,911 who said, would I be interested 186 00:13:31,977 --> 00:13:36,315 in investigating this using dairy records from dairy cows? 187 00:13:38,117 --> 00:13:42,054 And because I'm a consummate professional, my first message to this person was, 188 00:13:42,121 --> 00:13:43,561 "Hell yes! I would love to do that." 189 00:14:06,579 --> 00:14:08,848 I was really excited to work with dairy cows 190 00:14:08,914 --> 00:14:13,152 because we know more about dairy cow milk than we know about human milk 191 00:14:13,219 --> 00:14:15,721 and all the other kinds of milks put together. 192 00:14:24,964 --> 00:14:25,965 Hi, Molly. 193 00:14:30,035 --> 00:14:32,938 Their records are so extensive. 194 00:14:34,240 --> 00:14:37,509 We were able to study one and a half million cows 195 00:14:38,477 --> 00:14:43,349 to look at how the amount of milk produced was perhaps influenced 196 00:14:43,415 --> 00:14:46,252 by whether or not the cow had had a son or a daughter. 197 00:14:58,597 --> 00:15:01,533 What we found is that after producing a daughter, 198 00:15:01,901 --> 00:15:04,270 cows produce significantly more milk 199 00:15:04,503 --> 00:15:05,871 than if they produce a son. 200 00:15:07,206 --> 00:15:11,577 We don't know exactly what it is about a fetal daughter 201 00:15:12,077 --> 00:15:13,779 that influences the mammary gland. 202 00:15:18,050 --> 00:15:21,553 We also found by looking at 112,000 cows 203 00:15:21,954 --> 00:15:25,157 having a daughter on the first pregnancy 204 00:15:25,224 --> 00:15:28,961 increased the amount of milk that was produced on both the first 205 00:15:29,028 --> 00:15:30,663 and the second lactation. 206 00:15:32,464 --> 00:15:34,333 It had a long-lasting effect 207 00:15:34,833 --> 00:15:36,969 on what the mammary gland was able to produce. 208 00:15:43,609 --> 00:15:45,611 These differences aren't just in cows. 209 00:15:48,280 --> 00:15:51,283 We're also starting to see evidence of a daughter effect 210 00:15:51,517 --> 00:15:54,186 in the breastfeeding outcomes in humans. 211 00:15:58,190 --> 00:16:01,393 And the finding that the mammary glands' ability 212 00:16:01,460 --> 00:16:04,563 to make more milk with each sequential baby 213 00:16:05,130 --> 00:16:08,334 means that even if moms have a really tough time breastfeeding 214 00:16:08,667 --> 00:16:09,969 on a first baby, 215 00:16:10,302 --> 00:16:13,272 they might be successful if they try again later on. 216 00:16:19,845 --> 00:16:23,215 Oh, hello! Momma's pretty sure you're hungry. 217 00:16:24,783 --> 00:16:26,719 - Feeding's a big deal. - Yes. 218 00:16:26,785 --> 00:16:28,587 People don't realize it's, like, 219 00:16:28,654 --> 00:16:31,323 30% of your parenting endeavors. 220 00:16:31,390 --> 00:16:32,524 I thought I could eat, 221 00:16:32,858 --> 00:16:34,960 but they eat non-stop 222 00:16:35,828 --> 00:16:39,098 from when they are, I would guess, five in the morning... 223 00:16:40,165 --> 00:16:42,434 till bath time, which is 8:30. 224 00:16:45,938 --> 00:16:48,574 At first, I really was hoping to completely 225 00:16:48,640 --> 00:16:52,411 100% breastfeed both children for a year plus. 226 00:16:53,078 --> 00:16:55,547 It didn't happen that way, because I have twins 227 00:16:55,614 --> 00:16:59,051 and my body just wasn't able to produce enough milk for both of them. 228 00:17:04,690 --> 00:17:07,426 It was a big decision to not breastfeed. 229 00:17:07,826 --> 00:17:09,404 - I was really emotional. - There you go. 230 00:17:09,428 --> 00:17:10,729 I remember crying about it. 231 00:17:11,163 --> 00:17:13,966 Um, I remember thinking, like, 232 00:17:14,033 --> 00:17:16,969 maybe I could still try it if I can give them 233 00:17:17,036 --> 00:17:20,539 a little bit of a bottle here and there and still do it a little bit, 234 00:17:20,606 --> 00:17:21,940 but at the same time 235 00:17:22,508 --> 00:17:25,277 I have to make the decision that's best for me 236 00:17:25,744 --> 00:17:28,447 emotionally, and also for, um, the kids. 237 00:17:30,949 --> 00:17:33,085 When breast milk is not available, 238 00:17:33,152 --> 00:17:37,189 when mothers aren't able to produce breast milk for a variety of reasons... 239 00:17:38,290 --> 00:17:41,193 there is no other option that is better 240 00:17:41,260 --> 00:17:44,396 to support a baby than an artificial formula 241 00:17:44,696 --> 00:17:48,000 that is based on the science of human breast milk. 242 00:17:54,206 --> 00:17:55,908 It doesn't replicate breast milk, 243 00:17:56,608 --> 00:18:00,546 but it's not the same as directly feeding a baby cow's milk. 244 00:18:01,947 --> 00:18:04,950 We as a scientific community owe it to parents 245 00:18:05,350 --> 00:18:08,487 to close that gap between breast milk and formula. 246 00:18:10,923 --> 00:18:11,923 Hey. 247 00:18:12,124 --> 00:18:13,592 Hi. Hey, Mila. 248 00:18:13,659 --> 00:18:15,327 Oh, my God, that bow. 249 00:18:16,495 --> 00:18:17,529 You're funny, girl. 250 00:18:20,666 --> 00:18:21,700 Oh! 251 00:18:21,767 --> 00:18:23,202 Oh, my God, she's blind. 252 00:18:34,046 --> 00:18:36,315 When I dug deeper into milk... 253 00:18:37,950 --> 00:18:39,985 there were other patterns that emerged. 254 00:18:42,387 --> 00:18:44,189 The biggest pattern of all 255 00:18:44,256 --> 00:18:47,226 is the ways in which an individual mom 256 00:18:47,693 --> 00:18:49,428 makes individualized milk 257 00:18:49,928 --> 00:18:51,396 for an individual baby. 258 00:18:53,031 --> 00:18:54,666 Milk is bespoke. 259 00:18:56,502 --> 00:18:57,942 There you go, Nelson. 260 00:18:58,637 --> 00:18:59,738 You happy? 261 00:19:00,072 --> 00:19:01,707 You happy now, my son? 262 00:19:06,345 --> 00:19:08,280 He's exclusively breastfed, 263 00:19:08,347 --> 00:19:10,949 and I plan to breastfeed for about a year. 264 00:19:13,218 --> 00:19:14,219 Yeah. 265 00:19:15,120 --> 00:19:17,789 He drinks... on average 266 00:19:17,856 --> 00:19:19,158 every two and a half hours 267 00:19:19,858 --> 00:19:21,493 unless there's something wrong: 268 00:19:21,560 --> 00:19:24,229 he's poorly or there's a heat wave or something, 269 00:19:24,696 --> 00:19:26,365 and then he's feeding a lot more. 270 00:19:28,534 --> 00:19:29,768 I wonder how many ounces 271 00:19:29,835 --> 00:19:32,237 he takes in every time he drinks from my breast. 272 00:19:34,640 --> 00:19:36,575 All that exercise has tired him out. 273 00:19:40,913 --> 00:19:43,682 One of the ways in which milk is bespoke 274 00:19:44,283 --> 00:19:46,952 is the way it changes across time. 275 00:19:48,220 --> 00:19:49,688 As a mother goes about her day, 276 00:19:49,755 --> 00:19:51,957 as she experiences different things in her life, 277 00:19:52,024 --> 00:19:53,492 we can see, sometimes, 278 00:19:53,559 --> 00:19:56,695 the signature of those experiences in the milk she's producing. 279 00:19:57,129 --> 00:19:59,774 We wish you a very pleasant flight with us today. 280 00:19:59,798 --> 00:20:02,401 You know, the amount of fat, protein, 281 00:20:02,467 --> 00:20:05,938 carbohydrates, the amount of water, the total volume of the milk. 282 00:20:07,573 --> 00:20:11,843 When the baby gets fussy and changes their nursing pattern, 283 00:20:11,910 --> 00:20:13,845 it affects the milk that's being produced. 284 00:20:15,514 --> 00:20:19,785 When the mother's body detects that the baby is fighting an illness, 285 00:20:20,252 --> 00:20:24,656 her own immune system upregulates the production of antibodies, 286 00:20:25,190 --> 00:20:26,325 and those go into milk 287 00:20:26,725 --> 00:20:31,230 to help the baby fight those viruses and bacteria and pathogens. 288 00:20:33,732 --> 00:20:35,000 Seems so happy. 289 00:20:35,300 --> 00:20:37,569 There are also hormones in breast milk 290 00:20:37,970 --> 00:20:40,772 that go from the mother's body into her milk. 291 00:20:41,873 --> 00:20:46,411 And we are more and more convinced that this is an important signal 292 00:20:46,712 --> 00:20:49,715 that communicates things from mother to baby 293 00:20:50,115 --> 00:20:51,984 that influence the baby's development 294 00:20:52,351 --> 00:20:56,221 from their brain, to their metabolism, to their behavior. 295 00:20:57,356 --> 00:21:00,592 In this way, milk is a physiological conversation 296 00:21:00,659 --> 00:21:02,995 that's responsive to the baby's needs. 297 00:21:03,195 --> 00:21:04,195 Yeah! 298 00:21:05,264 --> 00:21:09,668 My own curiosity about milk is what started me on this research track 299 00:21:10,502 --> 00:21:14,773 but understanding that moms and babies really need this information 300 00:21:15,307 --> 00:21:16,642 to improve human health 301 00:21:17,109 --> 00:21:18,410 is what keeps me going. 302 00:21:35,060 --> 00:21:37,262 All right, I think our next one is down here. 303 00:21:41,933 --> 00:21:42,801 Mm-hmm. 304 00:21:42,868 --> 00:21:44,369 All right, Miss Mya. 305 00:21:44,436 --> 00:21:46,038 You think overnight with her? 306 00:21:46,104 --> 00:21:47,615 - I think overnight. - All right. 307 00:21:47,639 --> 00:21:49,841 We're just kinda working on 308 00:21:49,908 --> 00:21:53,111 feedings and getting her ready to go home today. 309 00:22:00,719 --> 00:22:01,719 Okay. 310 00:22:02,287 --> 00:22:03,488 But that heart sounds good. 311 00:22:04,256 --> 00:22:06,525 I'm going to get you over to Mom. Where's Mom? 312 00:22:06,591 --> 00:22:08,427 Yeah. 313 00:22:08,493 --> 00:22:12,497 Do you realize now she's exactly at what a term baby would be at this point? 314 00:22:12,564 --> 00:22:13,999 Those chubby cheeks. 315 00:22:15,334 --> 00:22:18,870 In my career, both as a pediatrician, 316 00:22:18,937 --> 00:22:21,807 but also as a nutritional scientist, 317 00:22:21,873 --> 00:22:23,942 I've really come to understand how nutrition 318 00:22:24,009 --> 00:22:28,246 shapes our lives across the lifespan. 319 00:22:28,714 --> 00:22:30,816 All right. Listen, good luck with her. That's great. 320 00:22:30,882 --> 00:22:33,352 - Thank you. - Yeah, and we'll see you in clinic. 321 00:22:34,720 --> 00:22:37,155 Hey, should we see how big you are? Huh? 322 00:22:37,222 --> 00:22:38,423 Should we see how big you are? 323 00:22:39,891 --> 00:22:41,093 And you are ready. 324 00:22:41,159 --> 00:22:44,229 You look like you're ready to take off in a little space capsule. 325 00:22:44,629 --> 00:22:45,629 Okay? 326 00:22:45,731 --> 00:22:46,898 Here we go. 327 00:22:47,332 --> 00:22:51,737 Feeding is the biggest concern that families have with their babies. 328 00:22:51,803 --> 00:22:53,739 They want to be absolutely sure 329 00:22:53,805 --> 00:22:56,975 that their babies are getting enough milk, 330 00:22:57,709 --> 00:23:00,278 and they're going to grow and thrive on it. 331 00:23:01,813 --> 00:23:05,784 But not only do parents get it wrong about what is growth, 332 00:23:06,785 --> 00:23:09,287 physicians and scientists do as well. 333 00:23:09,855 --> 00:23:11,189 I hear all the time, 334 00:23:11,256 --> 00:23:13,892 "The baby's growth was this." What do you mean the baby's growth? 335 00:23:13,959 --> 00:23:16,228 "Well, the baby gained this amount of weight." 336 00:23:17,062 --> 00:23:20,432 Weight gain is only one component of growth. 337 00:23:22,234 --> 00:23:24,803 What you really want is proportional growth. 338 00:23:24,870 --> 00:23:26,405 So weight, length, 339 00:23:27,072 --> 00:23:29,708 brain growth, all moving along together. 340 00:23:29,775 --> 00:23:31,143 Yeah. 341 00:23:31,209 --> 00:23:32,929 Were you saying something in here? 342 00:23:33,345 --> 00:23:35,247 We missed you out here. 343 00:23:36,448 --> 00:23:37,315 Yes. 344 00:23:37,382 --> 00:23:38,917 - Oh! - Ta-da! 345 00:23:38,984 --> 00:23:41,686 So here are her numbers, and they look really good. 346 00:23:41,753 --> 00:23:43,622 So 20.4 percent fat 347 00:23:43,922 --> 00:23:46,925 - and 80% fat free mass. - That's amazing. 348 00:23:46,992 --> 00:23:49,637 And that's the part that we think correlates with brain development. 349 00:23:49,661 --> 00:23:51,630 So the more advanced a baby is, 350 00:23:52,230 --> 00:23:56,034 tends to correlate with lots of muscle, good, strong muscle. 351 00:23:56,101 --> 00:23:57,569 So we're real excited about that. 352 00:23:58,036 --> 00:24:02,974 In the last ten years, we've developed new techniques to find out 353 00:24:03,041 --> 00:24:05,377 what babies should be eating 354 00:24:05,777 --> 00:24:07,913 to maintain their growth and development. 355 00:24:08,547 --> 00:24:10,549 - Hey there. - You're so good. 356 00:24:10,615 --> 00:24:13,018 And it might surprise you 357 00:24:13,084 --> 00:24:17,189 what they need to sustain their body and their mind. 358 00:24:24,696 --> 00:24:25,856 I wonder whether Nelson knows 359 00:24:25,897 --> 00:24:27,966 he's about to have his very first food ever. 360 00:24:36,475 --> 00:24:38,395 I love breastfeeding. I really do. 361 00:24:38,443 --> 00:24:41,379 but, um, I think that Nelson is showing signs 362 00:24:41,446 --> 00:24:43,515 that he's ready to start with solid food. 363 00:24:43,915 --> 00:24:45,684 Let me just have a look first. 364 00:24:45,750 --> 00:24:47,185 Oh, yeah, I think it's fine. 365 00:24:47,252 --> 00:24:50,856 - You're about to get a real surprise. - What is that, Nelson? What's that? 366 00:24:52,157 --> 00:24:54,068 'Cause every time we eat something 367 00:24:54,092 --> 00:24:55,861 he's always reaching out to eat 368 00:24:55,927 --> 00:24:57,762 and you can see he's really curious. 369 00:24:58,063 --> 00:25:00,232 Look, he's already going for it. 370 00:25:05,470 --> 00:25:07,038 He's like, "What's all that noise?" 371 00:25:10,375 --> 00:25:11,243 The day will come 372 00:25:11,309 --> 00:25:13,949 when I have to fully wean him and not give him breast milk anymore. 373 00:25:14,312 --> 00:25:16,281 Selfishly, as a mum... 374 00:25:17,849 --> 00:25:19,784 I'm really going to miss our feeds. 375 00:25:22,254 --> 00:25:23,894 He's growing up, you know? 376 00:25:24,422 --> 00:25:26,391 I have to adapt to his growing needs. 377 00:25:27,292 --> 00:25:28,894 Who's going to love carrot? 378 00:25:30,729 --> 00:25:32,063 Carrots today, 379 00:25:32,531 --> 00:25:34,332 prime beef steak tomorrow. 380 00:25:36,835 --> 00:25:39,170 Once he knows what solids taste like, 381 00:25:39,838 --> 00:25:41,306 the door's gonna be open. 382 00:25:45,110 --> 00:25:47,112 Nelson! 383 00:26:04,663 --> 00:26:06,031 What is that? 384 00:26:06,464 --> 00:26:07,464 What's that? 385 00:26:07,566 --> 00:26:08,600 Is that yummy? 386 00:26:09,601 --> 00:26:10,669 Another one? 387 00:26:23,148 --> 00:26:24,482 That's so cute. 388 00:26:25,717 --> 00:26:28,197 Supper time for this family is more than just... 389 00:26:28,820 --> 00:26:32,190 you know, sitting down and having a meal, it's more of a social thing. 390 00:26:32,257 --> 00:26:34,359 So, yeah, we'd like Nelson to be part of that 391 00:26:34,426 --> 00:26:37,162 even though he doesn't speak very much at the moment. 392 00:26:37,562 --> 00:26:39,664 The swallowing is epic. 393 00:26:42,367 --> 00:26:46,338 I think every family gets very excited when babies transition to solid food. 394 00:26:47,639 --> 00:26:50,942 - Look at that face! - Open less. 395 00:26:51,009 --> 00:26:52,009 Look. 396 00:26:54,079 --> 00:26:55,079 We know that 397 00:26:55,847 --> 00:26:57,215 food is social. 398 00:26:58,016 --> 00:26:59,884 Food gives us energy, 399 00:27:00,719 --> 00:27:05,457 but food is not always exactly what you think. 400 00:27:15,200 --> 00:27:16,601 In 1983, 401 00:27:16,668 --> 00:27:21,072 I moved to Minnesota and I was studying proteins in babies. 402 00:27:23,375 --> 00:27:26,344 And we found that there were these proteins 403 00:27:26,411 --> 00:27:29,214 that were telling us that our babies were iron-deficient. 404 00:27:30,815 --> 00:27:33,118 That was a problem, because... 405 00:27:33,885 --> 00:27:38,390 the unsung heroes for food are these micronutrients. 406 00:27:39,824 --> 00:27:42,761 We're talking about tiny amounts of metals 407 00:27:43,561 --> 00:27:47,298 like iron, zinc, and copper. 408 00:27:49,734 --> 00:27:54,439 All of those metals affect the complexity of the brain... 409 00:27:56,541 --> 00:27:59,911 and we know that it's critically important for learning and memory. 410 00:28:05,717 --> 00:28:10,622 One way Mother Nature ensures that a baby will have plenty of iron 411 00:28:10,689 --> 00:28:12,857 is to stockpile it in the womb... 412 00:28:14,592 --> 00:28:18,863 so that the baby is born with all the iron that it needs 413 00:28:18,930 --> 00:28:20,565 for the first four or so months. 414 00:28:23,868 --> 00:28:25,670 It was a total shock and surprise... 415 00:28:26,938 --> 00:28:28,773 because based on what we knew, 416 00:28:29,207 --> 00:28:32,277 there should not be any iron-deficient babies. 417 00:28:40,218 --> 00:28:43,121 And we discovered that moms with high blood pressure, 418 00:28:43,488 --> 00:28:46,958 moms with diabetes, moms who smoked cigarettes, 419 00:28:47,625 --> 00:28:51,696 they were the ones where the iron was not completely getting across... 420 00:28:53,865 --> 00:28:55,133 from the mom 421 00:28:55,200 --> 00:28:56,334 to the fetus. 422 00:28:58,436 --> 00:29:01,172 We knew that older children 423 00:29:01,239 --> 00:29:02,540 who have iron-deficiency, 424 00:29:02,607 --> 00:29:05,176 that they had some memory issues. 425 00:29:05,243 --> 00:29:07,045 And so we wanted to know, "Well, 426 00:29:07,512 --> 00:29:09,447 do we have the same problem in the babies or not? 427 00:29:10,582 --> 00:29:11,583 Wow! 428 00:29:11,850 --> 00:29:12,951 That's great! 429 00:29:15,019 --> 00:29:16,788 We got a precocious one. 430 00:29:17,455 --> 00:29:18,455 Oh, nice. 431 00:29:21,459 --> 00:29:22,360 Um, this doesn't hurt, 432 00:29:22,427 --> 00:29:25,463 but if she is upset and we can't calm her down, we'll stop. 433 00:29:25,530 --> 00:29:26,970 - It's completely fine. - Sure. 434 00:29:27,899 --> 00:29:30,201 So, since I can't ask a newborn 435 00:29:30,268 --> 00:29:32,370 to do a memory task for me, 436 00:29:32,437 --> 00:29:34,506 we have to use a cunning technique... 437 00:29:35,740 --> 00:29:41,112 to trick the baby to show us that it can actually do a cognitive task. 438 00:29:41,646 --> 00:29:42,646 Okay. 439 00:29:44,249 --> 00:29:47,118 We do that with EEG. 440 00:29:47,685 --> 00:29:52,791 The EEGNet measures electrical activity that is coming from the brain. 441 00:29:55,827 --> 00:29:57,107 And we're ready to go. 442 00:29:58,329 --> 00:29:59,898 We're just gonna measure her... 443 00:29:59,998 --> 00:30:02,233 One of the remarkable things that a baby does 444 00:30:02,300 --> 00:30:07,105 and has to be able to do is to recognize its mother's voice 445 00:30:07,172 --> 00:30:08,373 from a stranger's voice. 446 00:30:10,441 --> 00:30:14,712 That memory system needs a fair amount of iron to develop. 447 00:30:15,313 --> 00:30:18,016 All right. We're gonna get started. 448 00:30:19,250 --> 00:30:22,887 We play the sound of Mom saying "baby." 449 00:30:23,955 --> 00:30:25,355 Baby. 450 00:30:26,457 --> 00:30:27,457 Baby. 451 00:30:28,893 --> 00:30:29,893 Baby. 452 00:30:33,698 --> 00:30:36,868 Then we play a stranger's voice. 453 00:30:37,302 --> 00:30:38,662 Baby. 454 00:30:39,871 --> 00:30:40,872 Baby. 455 00:30:42,373 --> 00:30:43,373 Baby. 456 00:30:44,709 --> 00:30:49,180 And we can see if the baby has a different EEG pattern to Mom 457 00:30:49,814 --> 00:30:51,649 as opposed to a stranger. 458 00:30:55,186 --> 00:30:56,621 All right. That's great. 459 00:30:58,156 --> 00:30:59,891 You're all done. You did it. 460 00:31:00,358 --> 00:31:02,460 You did it. Good work. 461 00:31:03,995 --> 00:31:06,064 When we analyzed the results, 462 00:31:06,431 --> 00:31:07,431 they were dramatic. 463 00:31:11,736 --> 00:31:13,204 In the iron-sufficient baby, 464 00:31:13,671 --> 00:31:15,974 the response to the mother here in black 465 00:31:16,741 --> 00:31:19,277 is a very different shaped curve 466 00:31:19,644 --> 00:31:21,713 than the response to the stranger. 467 00:31:23,882 --> 00:31:27,886 This tells us that the baby has in some way memorized 468 00:31:27,952 --> 00:31:31,322 and differentiated between those two. 469 00:31:31,723 --> 00:31:33,992 So here's a baby who's got great memory. 470 00:31:36,861 --> 00:31:38,296 The iron-deficient baby 471 00:31:38,396 --> 00:31:40,231 doesn't show any discrimination 472 00:31:40,298 --> 00:31:43,902 between the mom's voice and the stranger's voice. 473 00:31:47,705 --> 00:31:51,242 And that would suggest to us that that baby's hippocampus, 474 00:31:51,309 --> 00:31:53,678 the area that's involved in learning and memory, 475 00:31:53,745 --> 00:31:55,747 is not functioning adequately 476 00:31:55,813 --> 00:31:57,181 due to the iron-deficiency. 477 00:32:00,118 --> 00:32:02,053 This was completely game-changing. 478 00:32:02,887 --> 00:32:04,789 It was absolutely shocking to me. 479 00:32:06,090 --> 00:32:07,930 Nobody even thought babies were iron-deficient, 480 00:32:08,493 --> 00:32:11,663 much less that there would be a neuro-developmental consequence. 481 00:32:19,203 --> 00:32:23,107 One of the most amazing things about these micronutrient deficiencies 482 00:32:23,174 --> 00:32:24,208 is how common they are. 483 00:32:25,043 --> 00:32:27,612 Two billion people in this world are iron-deficient, 484 00:32:28,279 --> 00:32:30,048 but it's not just iron 485 00:32:30,114 --> 00:32:33,518 that is critically important for the development of the brain. 486 00:32:35,386 --> 00:32:37,355 One point eight billion are zinc-deficient, 487 00:32:37,822 --> 00:32:40,358 another 900 million are iodine-deficient, 488 00:32:41,025 --> 00:32:43,795 and if we could get rid of those deficiencies... 489 00:32:45,997 --> 00:32:50,468 we would shift the world's IQ positively by ten points. 490 00:32:54,305 --> 00:32:56,674 That's a big one. It's a big one. 491 00:32:56,741 --> 00:32:57,775 Yes! 492 00:32:59,277 --> 00:33:01,980 What we learned in 2000 493 00:33:02,447 --> 00:33:06,417 turned the public health conversation from postnatal to prenatal. 494 00:33:08,720 --> 00:33:12,123 And making sure that moms were getting adequate iron during pregnancy 495 00:33:12,590 --> 00:33:14,859 to stockpile it in the womb, 496 00:33:15,393 --> 00:33:17,862 and that they're taking care of any conditions 497 00:33:17,929 --> 00:33:21,065 that might limit how the iron goes to the baby. 498 00:33:22,567 --> 00:33:25,303 We think about these lesser-known nutrients 499 00:33:25,370 --> 00:33:27,472 as building blocks for the brain. 500 00:33:28,806 --> 00:33:31,042 We gotta realize that what we're building in there 501 00:33:31,109 --> 00:33:35,580 are the pieces that go into temperament and personality. 502 00:33:36,280 --> 00:33:39,250 So really the nutrients are building your person. 503 00:33:55,600 --> 00:33:56,680 This looks good, 504 00:33:57,168 --> 00:33:58,836 or this looks good, 505 00:33:58,903 --> 00:34:00,004 or this looks good. 506 00:34:01,239 --> 00:34:03,241 Do you think we should get a green bowl? 507 00:34:04,008 --> 00:34:06,310 It would be probably, like, more chopped up. 508 00:34:06,377 --> 00:34:09,297 - Okay. Do you want to try that too? - You know, like smaller, bite-sized? 509 00:34:09,614 --> 00:34:11,783 Which one do you think that they would like? 510 00:34:14,585 --> 00:34:17,055 - Okay, they're gonna try all that stuff. - Thank you so much. 511 00:34:17,822 --> 00:34:19,424 That looks so good. Thank you. 512 00:34:19,490 --> 00:34:20,530 That was quick. 513 00:34:22,160 --> 00:34:23,160 Yeah. 514 00:34:24,128 --> 00:34:25,596 What do you think, milk-face? 515 00:34:30,701 --> 00:34:32,170 All right. 516 00:34:32,236 --> 00:34:34,939 We got some foods for you to try 517 00:34:35,006 --> 00:34:36,374 'cause you're a big girl. 518 00:34:37,241 --> 00:34:39,610 It's time for you to start eating big girl food. 519 00:34:49,754 --> 00:34:50,755 Some kale. 520 00:34:53,491 --> 00:34:54,792 You gotta put it in your mouth. 521 00:34:55,560 --> 00:34:56,560 There you go. 522 00:34:56,828 --> 00:34:57,828 Ooh! 523 00:34:57,862 --> 00:34:59,102 That's sweet potato. 524 00:34:59,163 --> 00:35:00,465 You ate a piece of food. 525 00:35:00,932 --> 00:35:02,633 Good girl! 526 00:35:04,001 --> 00:35:05,241 Parents can make sure 527 00:35:05,303 --> 00:35:07,405 that their babies are getting enough iron 528 00:35:07,472 --> 00:35:09,707 by paying attention to what's in the diet. 529 00:35:12,710 --> 00:35:16,280 Cereals that are fortified with iron are a good source, 530 00:35:16,347 --> 00:35:17,915 but then after six months, 531 00:35:18,516 --> 00:35:22,153 we recommend a source of either meat or fish, 532 00:35:22,353 --> 00:35:24,889 um, dark, leafy vegetables. 533 00:35:25,356 --> 00:35:26,491 What about you? 534 00:35:26,858 --> 00:35:27,892 It's a grape. 535 00:35:35,166 --> 00:35:37,735 Lincoln, just be open to it. 536 00:35:39,103 --> 00:35:42,373 Babies will definitely let you know how they feel about foods. 537 00:35:44,175 --> 00:35:47,111 It's experimentation, and it should be fun experimentation. 538 00:35:48,112 --> 00:35:50,581 Most important thing is to follow the baby's cues. 539 00:35:50,648 --> 00:35:54,952 You do not want to force feed a baby who is not ready to take solid foods. 540 00:35:56,721 --> 00:35:57,655 All right, buddy. 541 00:35:57,722 --> 00:36:00,191 Let's see if you'll take this old familiar. Here you go. 542 00:36:11,402 --> 00:36:13,638 Mila's had some egg, 543 00:36:14,539 --> 00:36:17,475 sweet potato, grape, kale, 544 00:36:17,542 --> 00:36:20,545 and Lincoln has yet to try anything else but his cracker. 545 00:36:23,114 --> 00:36:24,182 But he's a fun guy. 546 00:36:24,949 --> 00:36:26,350 But you're a fun guy. 547 00:36:28,853 --> 00:36:30,755 There you go, boy. 548 00:36:32,390 --> 00:36:33,758 Oh, okay. 549 00:36:34,125 --> 00:36:35,359 Okay, calm down. 550 00:36:36,260 --> 00:36:38,329 He's crazy. His blood sugar spiked. 551 00:36:41,065 --> 00:36:42,733 He's just dangerous right now. 552 00:36:43,100 --> 00:36:44,402 You're a cracker killer. 553 00:36:58,816 --> 00:37:01,686 I had an incredible biology teacher in high school 554 00:37:01,752 --> 00:37:04,488 that encouraged me to do a degree in biology. 555 00:37:06,757 --> 00:37:08,826 Even from my earliest days in undergrad, 556 00:37:09,527 --> 00:37:12,463 microbiology was something that really captured my imagination. 557 00:37:17,235 --> 00:37:20,037 We tend to think of microbes as very simple, 558 00:37:20,104 --> 00:37:22,106 single-celled organisms, 559 00:37:22,573 --> 00:37:24,442 but I think what we need to remember are 560 00:37:24,508 --> 00:37:27,078 microbes are the oldest and most successful 561 00:37:27,144 --> 00:37:28,713 life form on this planet. 562 00:37:33,217 --> 00:37:34,952 Have we looked everywhere? 563 00:37:35,019 --> 00:37:36,921 So you're setting the scene, are you? 564 00:37:39,757 --> 00:37:40,825 So, who is this? 565 00:37:41,459 --> 00:37:42,459 Mumma. 566 00:37:42,960 --> 00:37:44,962 - Is that what mummies look like? - Yeah. 567 00:37:45,029 --> 00:37:46,631 Look like a mummy monster. Right. 568 00:37:46,697 --> 00:37:47,832 So, that's Mummy. 569 00:37:57,508 --> 00:37:59,810 Hi, mister. Hi mister, mister. 570 00:38:01,445 --> 00:38:05,283 By six months of age, a baby's putting all kinds of things in their mouth, 571 00:38:05,349 --> 00:38:07,818 toys, food, the dog's tail... 572 00:38:09,020 --> 00:38:11,322 and on those things are microbes, 573 00:38:12,390 --> 00:38:14,825 single-celled organisms, 574 00:38:15,726 --> 00:38:17,828 bacteria or fungi or viruses. 575 00:38:19,297 --> 00:38:21,599 They're ancient. They're adaptable. 576 00:38:22,300 --> 00:38:25,870 They exist in every environment that we know of. 577 00:38:27,371 --> 00:38:28,773 - Red? - Red? 578 00:38:29,974 --> 00:38:31,609 Counter to what you might think, 579 00:38:32,543 --> 00:38:36,914 it's actually really important for a baby to ingest microbes in early life. 580 00:38:37,581 --> 00:38:40,117 Okay. So you have to do a bit more glue then. 581 00:38:40,184 --> 00:38:41,719 Microbes are quite amazing. 582 00:38:42,420 --> 00:38:44,488 We are in fact super-organisms. 583 00:38:44,555 --> 00:38:47,358 We're made up of microbes and human cells, 584 00:38:48,125 --> 00:38:50,761 and the gut, even in a one-month-old baby, 585 00:38:50,828 --> 00:38:53,664 is quite a complex ecosystem 586 00:38:53,731 --> 00:38:56,701 comprised of thousands of distinct bacteria. 587 00:38:58,636 --> 00:39:02,406 We know the gut microbiome really influences our health. 588 00:39:03,741 --> 00:39:05,209 So can we predict, 589 00:39:05,643 --> 00:39:08,879 based on the microbes in their gut microbiome, 590 00:39:10,047 --> 00:39:14,285 which babies will go on to live a healthy life or develop disease. 591 00:39:20,925 --> 00:39:22,526 Aurora is our dog. 592 00:39:24,962 --> 00:39:28,866 She just loves to play. She just wants to play 24/7. 593 00:39:29,066 --> 00:39:30,768 Play, lick the kids... 594 00:39:30,835 --> 00:39:32,503 Mm-hmm. Repeat. 595 00:39:33,237 --> 00:39:34,305 Doggy time. 596 00:39:34,939 --> 00:39:36,340 Eww! Eww! 597 00:39:37,942 --> 00:39:39,944 She loves stealing their crackers right now. 598 00:39:42,012 --> 00:39:44,715 Cleaning up their highchairs when they're done with them. 599 00:39:44,782 --> 00:39:46,350 That's the only good thing she does. 600 00:39:47,618 --> 00:39:49,887 - She entertains the kids. - No, she's a good dog. 601 00:39:50,521 --> 00:39:51,521 Hey. 602 00:39:54,792 --> 00:39:55,926 A few years ago, 603 00:39:55,993 --> 00:39:58,996 our collaborators at Henry Ford Hospital in Detroit 604 00:39:59,063 --> 00:40:02,333 had shown that babies who are exposed to dogs 605 00:40:02,400 --> 00:40:05,302 and to a lesser extent cats in very early life 606 00:40:05,369 --> 00:40:10,241 are actually protected from developing immune diseases, like asthma for example, 607 00:40:10,307 --> 00:40:11,308 in childhood. 608 00:40:11,375 --> 00:40:13,043 They get tired before bed. 609 00:40:14,345 --> 00:40:17,081 And we wanted to know, are microbes the link? 610 00:40:20,518 --> 00:40:23,354 So we decided to look at cats and dogs... 611 00:40:23,421 --> 00:40:24,288 Okay. 612 00:40:24,355 --> 00:40:26,657 ...and how that changes the microbiology 613 00:40:26,724 --> 00:40:28,893 of a baby raised in that household. 614 00:40:35,099 --> 00:40:36,367 Our collaborators 615 00:40:36,434 --> 00:40:39,136 went into homes in which babies were present 616 00:40:39,203 --> 00:40:41,405 and collected house dust samples 617 00:40:42,039 --> 00:40:44,909 from over 1,000 homes in Detroit. 618 00:40:46,477 --> 00:40:49,079 And some of those homes had dogs present. 619 00:40:49,447 --> 00:40:50,481 Some had cats. 620 00:40:51,782 --> 00:40:53,551 And some had no pets at all. 621 00:40:56,086 --> 00:40:58,055 They sent us their dust samples. 622 00:41:06,197 --> 00:41:07,898 We extracted DNA 623 00:41:07,965 --> 00:41:11,702 to work out what types of microbial species were present. 624 00:41:12,636 --> 00:41:16,373 The advances in technologies over the last ten or so years 625 00:41:16,440 --> 00:41:20,211 now mean that we can take a few grams of house dust 626 00:41:20,277 --> 00:41:23,247 and interrogate the whole profile of microbes 627 00:41:23,314 --> 00:41:24,849 that are in that sample. 628 00:41:27,685 --> 00:41:31,322 It's opened our eyes to the diversity of microbes that exist 629 00:41:31,388 --> 00:41:32,389 in our environment. 630 00:41:38,462 --> 00:41:39,296 Hi, Dick. 631 00:41:39,363 --> 00:41:40,898 We next analyzed the data. 632 00:41:40,965 --> 00:41:42,285 Yeah, looks pretty good actually. 633 00:41:42,333 --> 00:41:45,035 And what we found was very exciting. 634 00:41:47,271 --> 00:41:49,073 In homes with no pets, 635 00:41:49,507 --> 00:41:51,542 there's less bacterial exposure. 636 00:41:52,543 --> 00:41:55,179 And babies raised in those households 637 00:41:55,246 --> 00:41:58,115 have a greater chance of developing asthma in childhood. 638 00:42:00,384 --> 00:42:01,384 We ate veggies. 639 00:42:01,552 --> 00:42:02,720 Conversely, 640 00:42:02,786 --> 00:42:06,757 in homes in which dogs are present and to a lesser extent cats, 641 00:42:06,824 --> 00:42:10,728 there's a much broader diversity of bacteria in those homes 642 00:42:10,794 --> 00:42:12,563 that the baby is exposed to, 643 00:42:12,630 --> 00:42:16,066 and those babies are actually protected from developing asthma. 644 00:42:17,635 --> 00:42:18,836 Good girl, Aurora. 645 00:42:19,970 --> 00:42:22,039 Aurora, you're being a really good sport. 646 00:42:34,552 --> 00:42:36,220 Nelson, look at Cocoa. 647 00:42:38,022 --> 00:42:40,190 Ah... 648 00:42:41,025 --> 00:42:43,928 Oh, we love Cocoa. 649 00:42:45,663 --> 00:42:48,866 Better be careful that he doesn't put his hands in Cocoa's eyes, 650 00:42:48,933 --> 00:42:50,401 Cocoa would not be impressed. 651 00:42:51,135 --> 00:42:52,803 Nelson... 652 00:42:54,138 --> 00:42:55,606 Be gentle, okay? 653 00:42:55,806 --> 00:42:57,908 Gentle. Gentle. 654 00:42:58,876 --> 00:43:00,010 Nelson. 655 00:43:00,077 --> 00:43:02,479 I think it's been about two or three weeks now 656 00:43:02,546 --> 00:43:03,847 that he's noticed Cocoa. 657 00:43:05,149 --> 00:43:07,651 One day, um, Cocoa came out 658 00:43:08,052 --> 00:43:10,854 and Nelson's face just lit up. 659 00:43:10,921 --> 00:43:12,056 Do you love Cocoa, Nelson? 660 00:43:12,122 --> 00:43:14,124 He couldn't take his eyes off her. 661 00:43:19,830 --> 00:43:21,332 He wants to kiss her! 662 00:43:21,398 --> 00:43:22,700 Do you want to kiss Cocoa? 663 00:43:28,539 --> 00:43:31,575 So we'd found out that pets were protective 664 00:43:31,642 --> 00:43:34,612 and that microbes were associated with that protection. 665 00:43:35,879 --> 00:43:37,681 The next step was to understand 666 00:43:37,748 --> 00:43:42,453 which microbes played a role in preventing disease. 667 00:43:43,721 --> 00:43:46,123 So this is a very difficult study to do 668 00:43:46,190 --> 00:43:48,659 and we were fortunate that our collaborators again 669 00:43:48,726 --> 00:43:51,862 at Henry Ford Hospital had a phenomenal resource. 670 00:43:56,266 --> 00:44:00,104 They had collected stool samples from babies in very early life 671 00:44:00,170 --> 00:44:03,307 and followed those babies right through childhood 672 00:44:03,374 --> 00:44:07,311 and knew if those babies developed allergies and asthma years later. 673 00:44:11,015 --> 00:44:16,553 So we examined the stool samples of 130 babies aged one month of age. 674 00:44:19,256 --> 00:44:22,860 And then we examined the hundreds of different bacteria 675 00:44:22,926 --> 00:44:24,795 found in all of those samples. 676 00:44:33,237 --> 00:44:37,207 This process generated a very large data set. 677 00:44:40,678 --> 00:44:43,013 We used computer algorithms 678 00:44:43,080 --> 00:44:47,685 to identify patterns of microbial colonization in the gut in early life. 679 00:44:51,021 --> 00:44:54,825 What we found was that babies are not all the same 680 00:44:54,892 --> 00:44:58,062 in terms of their gut microbiome at one month of age. 681 00:44:58,128 --> 00:45:02,433 In fact, there's three distinct gut microbiome compositions 682 00:45:02,499 --> 00:45:05,302 that are evident in one-month-old babies. 683 00:45:07,905 --> 00:45:10,040 Two of them, in green and blue, 684 00:45:10,441 --> 00:45:14,244 were associated with a lower risk of developing allergies and asthma, 685 00:45:15,946 --> 00:45:18,982 and the group in red is the group that were 686 00:45:19,049 --> 00:45:22,086 at significantly higher risk of developing disease in childhood. 687 00:45:23,220 --> 00:45:26,223 Yeah. It was by DMM that we had on the paper, yeah. 688 00:45:26,290 --> 00:45:29,326 For the first time, we now can predict 689 00:45:29,393 --> 00:45:32,196 which babies will go on to live a healthy life 690 00:45:32,663 --> 00:45:34,898 or develop immune diseases like asthma 691 00:45:34,965 --> 00:45:37,634 based on the microbes in their gut. 692 00:45:39,937 --> 00:45:40,804 In the future, 693 00:45:40,871 --> 00:45:44,041 this may represent a novel avenue for treatment 694 00:45:44,108 --> 00:45:47,478 and offer the opportunity to intervene early in life 695 00:45:47,544 --> 00:45:49,980 to prevent disease development in childhood. 696 00:46:06,029 --> 00:46:08,999 What color is it? 697 00:46:09,066 --> 00:46:10,167 Bless you. 698 00:46:11,168 --> 00:46:12,569 Do you want to hold a rabbit? 699 00:46:12,636 --> 00:46:13,804 Oh! 700 00:46:15,939 --> 00:46:17,975 - Yeah. - I think he likes it. 701 00:46:20,844 --> 00:46:23,004 little habbit, the little rabbit 702 00:46:23,413 --> 00:46:25,115 He's a bunny! 703 00:46:32,389 --> 00:46:33,557 You like it? 704 00:46:33,624 --> 00:46:34,858 I think he loves me. 705 00:46:34,925 --> 00:46:36,794 You think he loves you? 706 00:46:43,200 --> 00:46:45,803 This relationship between microbes and humans 707 00:46:45,869 --> 00:46:48,705 has been going on since humans first evolved. 708 00:46:50,340 --> 00:46:52,009 Look, a little goat 709 00:46:52,075 --> 00:46:53,143 Baah! 710 00:46:53,210 --> 00:46:54,278 Baah! 711 00:46:55,679 --> 00:46:57,648 - Tash, wash her hands? - Yep. 712 00:47:00,217 --> 00:47:02,017 And over the last several generations, 713 00:47:02,052 --> 00:47:03,620 particularly in Westernized nations 714 00:47:03,687 --> 00:47:06,290 where our lifestyle has changed quite dramatically, 715 00:47:06,924 --> 00:47:10,194 we've really altered our interactions with microbes. 716 00:47:11,228 --> 00:47:14,765 Factors such as more hygienic living conditions 717 00:47:14,832 --> 00:47:18,202 and microbial use really deplete microbes 718 00:47:18,268 --> 00:47:20,671 that are necessary to promote health. 719 00:47:22,339 --> 00:47:23,240 Abby! 720 00:47:23,307 --> 00:47:24,541 Hey! 721 00:47:24,641 --> 00:47:26,143 We eat the baby 722 00:47:30,914 --> 00:47:32,649 Because the field is very new, 723 00:47:32,716 --> 00:47:35,752 it's difficult to make recommendations at this stage 724 00:47:35,819 --> 00:47:39,890 as to what may promote a healthy microbiome in a new baby. 725 00:47:41,558 --> 00:47:42,626 Aah! 726 00:47:43,093 --> 00:47:44,695 Are you trying to bite it off? 727 00:47:44,761 --> 00:47:47,097 Aah! Aah! 728 00:47:48,632 --> 00:47:49,833 Aah! 729 00:47:54,404 --> 00:47:57,007 We don't even know what a healthy microbiome really is 730 00:47:57,074 --> 00:47:58,141 at this stage. 731 00:48:00,811 --> 00:48:02,813 While we know diet influences 732 00:48:02,880 --> 00:48:05,349 the types and activities of microbes in the gut, 733 00:48:05,749 --> 00:48:09,820 the specifics of those interactions have yet to be fully determined. 734 00:48:13,423 --> 00:48:15,893 But what we do know is a sterile environment 735 00:48:16,226 --> 00:48:20,163 is not beneficial to set a baby up for a healthy life. 736 00:48:22,399 --> 00:48:24,234 And though it may seem counterintuitive, 737 00:48:24,301 --> 00:48:27,371 environments that are rich in microbial exposure, 738 00:48:27,704 --> 00:48:30,140 farming environments, homes with cats and dogs, 739 00:48:30,207 --> 00:48:33,911 and even mice and cockroaches in the inner-city environments 740 00:48:33,977 --> 00:48:38,348 are actually protective against development of disease in childhood. 741 00:48:51,461 --> 00:48:54,264 Oh, you're reading! Are you reading? 742 00:48:54,364 --> 00:48:56,566 He's excited about the menu. 743 00:48:57,634 --> 00:48:58,869 Oh, well done. 744 00:48:58,936 --> 00:49:00,270 That's so cool. 745 00:49:00,604 --> 00:49:03,206 - Okay, a toast. Toast. - Lovely. 746 00:49:03,707 --> 00:49:04,875 What is that? 747 00:49:07,644 --> 00:49:09,479 You all right, fellow? 748 00:49:10,614 --> 00:49:11,615 He's loving it. 749 00:49:12,382 --> 00:49:13,617 He loves toast. 750 00:49:14,785 --> 00:49:17,145 This is his first breakfast out with us, isn't it? 751 00:49:19,690 --> 00:49:21,258 Yeah? 752 00:49:22,159 --> 00:49:26,964 Food is a fundamental part of who we are as humans. 753 00:49:28,131 --> 00:49:29,131 What we eat, 754 00:49:29,499 --> 00:49:32,636 how we get our food, how we prepare our food, 755 00:49:32,703 --> 00:49:35,138 how we share our food with other individuals... 756 00:49:35,739 --> 00:49:38,842 this is a core part of human culture. 757 00:49:47,284 --> 00:49:50,053 - What do you think of egg? - D'you like it? 758 00:49:50,754 --> 00:49:53,623 That's gonna help you, make you a big and strong young man. 759 00:49:56,760 --> 00:50:01,198 As babies start to transition to eating some of these foods... 760 00:50:02,599 --> 00:50:06,236 they're joining this part of what it means to be a family. 761 00:50:09,473 --> 00:50:10,473 Hugo. 762 00:50:16,613 --> 00:50:18,048 Hey, babo. 763 00:50:19,349 --> 00:50:24,788 I think we're on the cusp of an explosion of information about 764 00:50:24,855 --> 00:50:28,158 how food is more than just calories. 765 00:50:31,828 --> 00:50:36,099 - Feeds himself. Babo, good job. - Yay! You did it! 766 00:50:37,401 --> 00:50:39,736 Food and especially these micronutrients 767 00:50:39,803 --> 00:50:42,005 are really building your baby. 768 00:50:42,406 --> 00:50:44,541 Well done! 769 00:50:45,976 --> 00:50:47,878 Well done! 770 00:50:50,814 --> 00:50:53,917 It's truly one of the most remarkable processes 771 00:50:53,984 --> 00:50:55,252 in all of life. 59565

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