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Wow! Oh, who's at the door?
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Who's that?
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Little baby, hello!
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Mwah, mwah, mwah!
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Good morning, angel. Mwah!
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Right. I'm gonna have a shower.
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Enjoy.
8
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Would you mind taking Hugo for me?
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Yeah. Come here. Come with me, my baby.
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Oh, mwah!
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I'll be really quick
so you can get on with paella.
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- Yeah.
- Okay?
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Mwah, mwah!
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You're gonna go with Granddad.
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- Hello, Dad.
- Mwah. Morning.
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I got everything.
17
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Oh, mwah!
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Are you going to help me
in a minute?
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I cannot do it without you.
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Yeah.
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Arms up.
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Are you going to help
Granddad make paella?
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Yeah.
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- Hugo, smell it.
- Don't touch it.
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No.
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You don't know
how good this is, Hugo.
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When a baby starts eating
with the family,
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that's a big moment.
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They're embarking
on a lifetime of pleasure through food.
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But it's not just fun and pleasure.
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It also matters what we eat,
because it's fundamental
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for the development of the body
and the mind.
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I've never known anyone
to make such a mess
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like when you cook paella.
Look at the floor.
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Breast milk isn't
what you think it is.
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It's not just food.
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Some of the most important things
in breast milk
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are things you'd never imagine were there.
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All right. Are we ready?
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♪ Hugo, Hugo, Hugo ♪
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- Dad, are you ready?
- Yeah.
42
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- Hugo, look at that.
- Oh, my goodness.
43
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Hugo, look at this.
44
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One day, Hugo,
you can have paella.
45
00:02:23,977 --> 00:02:25,912
Over the last ten to 15 years,
46
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what we are beginning to understand
is that
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what babies ingest
impacts the immune system.
48
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This relates to whether they develop
disease or not later in childhood.
49
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- Hugo broke it.
- What happened?
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The questions we as scientists
would like to know are,
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which are the important nutrients,
52
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what do they do,
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how do babies get them,
54
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and how does that shape their lives?
55
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Well, baby's heartbeat,
it looks good, doesn't it?
56
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Are you okay? You can't talk?
57
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I feel nauseous.
58
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Don't worry.
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Well done, baby.
60
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Well done.
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I'm so proud of you.
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He's all pink.
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00:04:39,045 --> 00:04:40,780
Welcome to the world, Nelson.
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00:04:55,828 --> 00:04:58,064
What's happened to Dr. Brit?
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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.
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00:05:13,212 --> 00:05:16,049
Little one munching beautifully.
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00:05:16,316 --> 00:05:18,751
He's really learned how to take the milk.
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00:05:18,818 --> 00:05:21,587
He's been rooting around
and he can even hold his head up.
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It's amazing,
even after, like, coming up to two days.
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Yummy yummy, Mummy.
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00:05:43,910 --> 00:05:45,078
As an anthropologist,
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I'm really interested in the ways
that mothers raise their babies.
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00:05:52,151 --> 00:05:55,922
I became interested
in breast milk in the late '90s
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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.
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00:06:10,002 --> 00:06:12,472
It was the missing piece of understanding
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how mothers nourish, protect,
and guide their offspring
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through mother's milk.
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In the grocery store,
there is an entire aisle
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dedicated to dairy milk.
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00:06:30,490 --> 00:06:32,425
It's so common that we miss
87
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the fact that milk's really special.
88
00:06:38,030 --> 00:06:40,099
I hadn't given much thought to milk
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00:06:40,900 --> 00:06:42,301
before I was in college.
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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.
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00:06:54,380 --> 00:06:57,984
When I started looking
at the scientific literature
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00:06:58,050 --> 00:06:59,085
about milk...
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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
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00:07:08,294 --> 00:07:11,831
than the first food
a mammal is adapted to consume.
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00:07:13,599 --> 00:07:15,535
How does a mother's milk vary?
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00:07:15,601 --> 00:07:16,702
How much fat is in it?
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00:07:16,769 --> 00:07:19,338
How much protein? What's the volume?
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00:07:19,405 --> 00:07:21,808
If she's on her first baby
or her fifth baby,
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00:07:21,874 --> 00:07:23,576
is the milk the same or is it different?
102
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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
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00:07:42,895 --> 00:07:46,432
because their milk
is very similar to human milk.
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And they grow up
four times faster than humans.
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00:07:50,870 --> 00:07:54,140
So we get a snapshot
of a developmental trajectory
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at a much quicker timeline
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than anybody can study
when they're working with humans.
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00:08:04,484 --> 00:08:05,551
Hey, sweetie.
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00:08:10,690 --> 00:08:13,793
When I do my research
to study milk in monkeys,
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00:08:14,193 --> 00:08:16,362
we try and make sure
that we disturb the animals
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as little as possible.
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They spend almost all of their time
with their family,
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we just collect milk a couple times
during lactation.
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00:08:26,639 --> 00:08:28,908
I had some wonderful mentors
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who tried very hard
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to dissuade me from studying breast milk.
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They thought I was headed down
a dead-end road,
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00:08:37,817 --> 00:08:40,253
that work that had been done in the '80s
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showed that the average composition
of milk from human populations
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00:08:45,124 --> 00:08:50,263
was the same in, you know, London
as it was in The Gambia.
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00:08:53,432 --> 00:08:56,802
There was this idea
that milk was pretty standardized
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00:08:56,869 --> 00:08:58,004
among women...
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and on top of that...
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they told me,
127
00:09:03,743 --> 00:09:06,312
"You'll never be able to milk a monkey."
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00:09:09,615 --> 00:09:13,085
I think it speaks to both
my overwhelming curiosity
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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,"
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00:09:18,724 --> 00:09:20,226
and I was able to milk a monkey.
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Hugo.
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Hi.
134
00:09:45,851 --> 00:09:47,753
Hi!
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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,
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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,
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00:10:45,611 --> 00:10:49,815
they have all these lovely,
fantastic ways of calming him down.
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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,
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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.
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00:11:54,280 --> 00:11:57,516
What we got really excited about was that
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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
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00:12:13,699 --> 00:12:16,202
whether or not they had
a son or a daughter.
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00:12:18,738 --> 00:12:21,240
So I started to look for other differences
in the milk.
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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
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00:12:39,492 --> 00:12:42,261
was higher for daughters
than it was for sons.
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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
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00:12:48,267 --> 00:12:49,935
is really important
173
00:12:50,002 --> 00:12:51,237
for bone development.
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00:12:53,272 --> 00:12:56,909
Skeletal development of daughters
is faster than it is for sons
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00:12:57,343 --> 00:13:01,247
because females reach adulthood
quicker than males.
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00:13:02,882 --> 00:13:06,218
This is the first time such a finding
has ever been reported.
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00:13:07,653 --> 00:13:09,088
It's really preliminary,
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00:13:09,488 --> 00:13:10,689
but it shows us
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how many questions remain to be answered.
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00:13:17,062 --> 00:13:21,734
I wrote an essay on my blog
about the biological recipe of milk
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00:13:21,801 --> 00:13:23,002
for sons and daughters
182
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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?
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00:13:38,117 --> 00:13:42,054
And because I'm a consummate professional,
my first message to this person was,
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"Hell yes! I would love to do that."
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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
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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
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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,
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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.
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00:17:09,428 --> 00:17:10,729
I remember crying about it.
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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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