0:00:00.920,0:00:02.604 So it all came to life 0:00:02.628,0:00:04.460 in a dark bar in Madrid. 0:00:05.023,0:00:09.247 I encountered my colleague[br]from McGill, Michael Meaney. 0:00:09.271,0:00:11.576 And we were drinking a few beers, 0:00:11.600,0:00:13.653 and like scientists do, 0:00:13.677,0:00:15.123 he told me about his work. 0:00:16.304,0:00:23.258 And he told me that he is interested[br]in how mother rats lick their pups 0:00:23.282,0:00:24.652 after they were born. 0:00:25.656,0:00:28.075 And I was sitting there and saying, 0:00:28.099,0:00:31.099 "This is where my tax[br]dollars are wasted -- 0:00:31.123,0:00:32.157 (Laughter) 0:00:32.181,0:00:34.959 on this kind of soft science." 0:00:35.835,0:00:38.332 And he started telling me 0:00:38.356,0:00:41.756 that the rats, like humans, 0:00:41.780,0:00:44.226 lick their pups in very different ways. 0:00:44.250,0:00:46.985 Some mothers do a lot of that, 0:00:47.009,0:00:49.214 some mothers do very little, 0:00:49.238,0:00:51.208 and most are in between. 0:00:51.867,0:00:53.768 But what's interesting about it 0:00:53.792,0:00:58.710 is when he follows these pups[br]when they become adults -- 0:00:58.734,0:01:02.913 like, years in human life,[br]long after their mother died. 0:01:02.937,0:01:05.005 They are completely different animals. 0:01:05.029,0:01:09.402 The animals that were licked[br]and groomed heavily, 0:01:09.426,0:01:11.178 the high licking and grooming, 0:01:12.059,0:01:13.423 are not stressed. 0:01:14.022,0:01:16.271 They have different sexual behavior. 0:01:16.295,0:01:19.250 They have a different way of living 0:01:19.274,0:01:24.754 than those that were not treated[br]as intensively by their mothers. 0:01:25.934,0:01:29.098 So then I was thinking to myself: 0:01:29.122,0:01:30.414 Is this magic? 0:01:31.002,0:01:32.371 How does this work? 0:01:32.395,0:01:34.604 As geneticists would like you to think, 0:01:35.390,0:01:39.362 perhaps the mother had[br]the "bad mother" gene 0:01:39.386,0:01:43.023 that caused her pups to be stressful, 0:01:43.047,0:01:45.594 and then it was passed[br]from generation to generation; 0:01:45.618,0:01:48.318 it's all determined by genetics. 0:01:48.342,0:01:51.836 Or is it possible that something[br]else is going on here? 0:01:51.860,0:01:55.431 In rats, we can ask[br]this question and answer it. 0:01:55.455,0:01:59.060 So what we did is[br]a cross-fostering experiment. 0:01:59.084,0:02:03.839 You essentially separate the litter,[br]the babies of this rat, at birth, 0:02:03.863,0:02:05.730 to two kinds of fostering mothers -- 0:02:05.754,0:02:09.082 not the real mothers,[br]but mothers that will take care of them: 0:02:09.106,0:02:11.360 high-licking mothers[br]and low-licking mothers. 0:02:11.384,0:02:15.262 And you can do the opposite[br]with the low-licking pups. 0:02:15.708,0:02:18.081 And the remarkable answer was, 0:02:18.105,0:02:22.144 it wasn't important[br]what gene you got from your mother. 0:02:22.168,0:02:27.916 It was not the biological mother[br]that defined this property of these rats. 0:02:27.940,0:02:31.946 It is the mother that[br]took care of the pups. 0:02:32.771,0:02:35.596 So how can this work? 0:02:36.921,0:02:38.724 I am an a epigeneticist. 0:02:38.748,0:02:42.420 I am interested in how genes are marked 0:02:42.444,0:02:44.160 by a chemical mark 0:02:44.184,0:02:48.989 during embryogenesis, during the time[br]we're in the womb of our mothers, 0:02:49.013,0:02:51.492 and decide which gene will be expressed 0:02:51.516,0:02:52.698 in what tissue. 0:02:52.722,0:02:56.892 Different genes are expressed in the brain[br]than in the liver and the eye. 0:02:57.718,0:03:00.557 And we thought: Is it possible 0:03:00.581,0:03:07.528 that the mother is somehow[br]reprogramming the gene of her offspring 0:03:07.552,0:03:09.101 through her behavior? 0:03:09.125,0:03:10.736 And we spent 10 years, 0:03:10.760,0:03:14.801 and we found that there is a cascade[br]of biochemical events 0:03:14.825,0:03:18.268 by which the licking and grooming[br]of the mother, the care of the mother, 0:03:18.292,0:03:20.775 is translated to biochemical signals 0:03:20.799,0:03:24.110 that go into the nucleus and into the DNA 0:03:24.134,0:03:26.212 and program it differently. 0:03:26.236,0:03:31.132 So now the animal can prepare[br]itself for life: 0:03:31.156,0:03:33.777 Is life going to be harsh? 0:03:33.801,0:03:35.563 Is there going to be a lot of food? 0:03:35.587,0:03:38.112 Are there going to be a lot of cats[br]and snakes around, 0:03:38.136,0:03:40.459 or will I live[br]in an upper-class neighborhood 0:03:40.483,0:03:43.190 where all I have to do[br]is behave well and proper, 0:03:43.214,0:03:46.349 and that will gain me social acceptance? 0:03:46.978,0:03:52.569 And now one can think about[br]how important that process can be 0:03:52.593,0:03:53.768 for our lives. 0:03:53.792,0:03:56.704 We inherit our DNA from our ancestors. 0:03:57.411,0:03:59.340 The DNA is old. 0:03:59.364,0:04:01.432 It evolved during evolution. 0:04:01.938,0:04:06.271 But it doesn't tell us[br]if you are going to be born in Stockholm, 0:04:06.295,0:04:09.681 where the days are long in the summer[br]and short in the winter, 0:04:09.705,0:04:11.010 or in Ecuador, 0:04:11.034,0:04:14.567 where there's an equal number of hours[br]for day and night all year round. 0:04:14.591,0:04:18.386 And that has such an enormous [effect][br]on our physiology. 0:04:19.489,0:04:23.725 So what we suggest is,[br]perhaps what happens early in life, 0:04:23.749,0:04:25.916 those signals that come[br]through the mother, 0:04:25.940,0:04:30.455 tell the child what kind of social world[br]you're going to be living in. 0:04:30.479,0:04:33.879 It will be harsh, and you'd better[br]be anxious and be stressful, 0:04:33.903,0:04:37.026 or it's going to be an easy world,[br]and you have to be different. 0:04:37.050,0:04:40.240 Is it going to be a world[br]with a lot of light or little light? 0:04:40.264,0:04:44.249 Is it going to be a world[br]with a lot of food or little food? 0:04:44.273,0:04:45.797 If there's no food around, 0:04:45.821,0:04:50.437 you'd better develop your brain to binge[br]whenever you see a meal, 0:04:50.461,0:04:55.217 or store every piece of food[br]that you have as fat. 0:04:56.819,0:04:58.249 So this is good. 0:04:58.273,0:05:00.130 Evolution has selected this 0:05:00.154,0:05:05.050 to allow our fixed, old DNA[br]to function in a dynamic way 0:05:05.074,0:05:06.923 in new environments. 0:05:07.377,0:05:09.960 But sometimes things can go wrong; 0:05:10.706,0:05:14.568 for example, if you're born[br]to a poor family 0:05:14.592,0:05:17.521 and the signals are, "You better binge, 0:05:17.545,0:05:20.760 you better eat every piece of food[br]you're going to encounter." 0:05:20.784,0:05:23.036 But now we humans[br]and our brain have evolved, 0:05:23.060,0:05:25.156 have changed evolution even faster. 0:05:25.180,0:05:28.544 Now you can buy McDonald's for one dollar. 0:05:28.568,0:05:34.978 And therefore, the preparation[br]that we had by our mothers 0:05:35.002,0:05:37.594 is turning out to be maladaptive. 0:05:38.351,0:05:42.564 The same preparation that was supposed[br]to protect us from hunger and famine 0:05:42.588,0:05:45.045 is going to cause obesity, 0:05:45.069,0:05:48.039 cardiovascular problems[br]and metabolic disease. 0:05:48.666,0:05:52.138 So this concept that genes[br]could be marked by our experience, 0:05:52.162,0:05:54.463 and especially the early life experience, 0:05:54.487,0:05:57.301 can provide us a unifying explanation 0:05:57.325,0:05:59.668 of both health and disease. 0:06:00.612,0:06:02.970 But is true only for rats? 0:06:02.994,0:06:05.946 The problem is, we cannot[br]test this in humans, 0:06:05.970,0:06:10.082 because ethically, we cannot administer[br]child adversity in a random way. 0:06:10.106,0:06:13.410 So if a poor child develops[br]a certain property, 0:06:13.434,0:06:17.173 we don't know whether[br]this is caused by poverty 0:06:17.197,0:06:20.021 or whether poor people have bad genes. 0:06:20.045,0:06:23.160 So geneticists will try to tell you[br]that poor people are poor 0:06:23.184,0:06:25.240 because their genes make them poor. 0:06:25.264,0:06:27.224 Epigeneticists will tell you 0:06:27.248,0:06:31.358 poor people are in a bad environment[br]or an impoverished environment 0:06:31.382,0:06:34.346 that creates that phenotype,[br]that property. 0:06:35.576,0:06:41.418 So we moved to look[br]into our cousins, the monkeys. 0:06:42.087,0:06:45.781 My colleague, Stephen Suomi,[br]has been rearing monkeys 0:06:45.805,0:06:46.966 in two different ways: 0:06:46.990,0:06:49.891 randomly separated the monkey[br]from the mother 0:06:49.915,0:06:52.507 and reared her with a nurse 0:06:52.531,0:06:55.490 and surrogate motherhood conditions. 0:06:55.514,0:06:58.185 So these monkeys didn't have[br]a mother; they had a nurse. 0:06:58.209,0:07:02.829 And other monkeys were reared[br]with their normal, natural mothers. 0:07:02.853,0:07:07.549 And when they were old,[br]they were completely different animals. 0:07:07.573,0:07:10.666 The monkeys that had a mother[br]did not care about alcohol, 0:07:10.690,0:07:12.369 they were not sexually aggressive. 0:07:12.393,0:07:16.160 The monkeys that didn't have a mother[br]were aggressive, were stressed 0:07:16.184,0:07:17.798 and were alcoholics. 0:07:18.482,0:07:23.964 So we looked at their DNA[br]early after birth, to see: 0:07:23.988,0:07:26.755 Is it possible that the mother is marking? 0:07:26.779,0:07:32.137 Is there a signature of the mother[br]in the DNA of the offspring? 0:07:32.161,0:07:34.413 These are Day-14 monkeys, 0:07:34.437,0:07:38.513 and what you see here is the modern way[br]by which we study epigenetics. 0:07:38.537,0:07:43.200 We can now map those chemical marks,[br]which we call methylation marks, 0:07:43.224,0:07:46.482 on DNA at a single nucleotide resolution. 0:07:46.506,0:07:48.383 We can map the entire genome. 0:07:48.407,0:07:51.474 We can now compare the monkey[br]that had a mother or not. 0:07:51.498,0:07:53.452 And here's a visual presentation of this. 0:07:53.476,0:07:58.213 What you see is the genes[br]that got more methylated are red. 0:07:58.237,0:08:01.251 The genes that got[br]less methylated are green. 0:08:01.275,0:08:03.759 You can see many genes are changing, 0:08:03.783,0:08:06.497 because not having a mother[br]is not just one thing -- 0:08:06.521,0:08:08.052 it affects the whole way; 0:08:08.076,0:08:11.584 it sends signals about the whole way[br]your world is going to look 0:08:11.608,0:08:13.367 when you become an adult. 0:08:13.391,0:08:15.812 And you can see the two groups of monkeys 0:08:15.836,0:08:18.556 extremely well-separated from each other. 0:08:19.392,0:08:21.521 How early does this develop? 0:08:22.078,0:08:24.291 These monkeys already[br]didn't see their mothers, 0:08:24.315,0:08:26.014 so they had a social experience. 0:08:26.038,0:08:30.303 Do we sense our social status,[br]even at the moment of birth? 0:08:31.131,0:08:35.180 So in this experiment,[br]we took placentas of monkeys 0:08:35.204,0:08:37.161 that had different social status. 0:08:37.698,0:08:43.072 What's interesting about social rank[br]is that across all living beings, 0:08:43.096,0:08:45.714 they will structure[br]themselves by hierarchy. 0:08:46.345,0:08:48.533 Monkey number one is the boss; 0:08:48.557,0:08:50.895 monkey number four is the peon. 0:08:50.919,0:08:53.358 You put four monkeys in a cage, 0:08:53.382,0:08:56.393 there will always be a boss[br]and always be a peon. 0:08:57.448,0:09:01.296 And what's interesting[br]is that the monkey number one 0:09:01.320,0:09:04.752 is much healthier than monkey number four. 0:09:04.776,0:09:06.580 And if you put them in a cage, 0:09:06.604,0:09:11.301 monkey number one will not eat as much. 0:09:11.325,0:09:13.162 Monkey number four will eat [a lot]. 0:09:14.129,0:09:18.402 And what you see here[br]in this methylation mapping, 0:09:18.426,0:09:21.201 a dramatic separation at birth 0:09:21.225,0:09:23.939 of the animals that had[br]a high social status 0:09:23.963,0:09:26.637 versus the animals[br]that did not have a high status. 0:09:27.349,0:09:31.580 So we are born already knowing[br]the social information, 0:09:31.604,0:09:34.657 and that social information[br]is not bad or good, 0:09:34.681,0:09:36.100 it just prepares us for life, 0:09:36.124,0:09:40.365 because we have to program[br]our biology differently 0:09:40.389,0:09:43.470 if we are in the high[br]or the low social status. 0:09:44.326,0:09:46.207 But how can you study this in humans? 0:09:46.710,0:09:50.158 We can't do experiments,[br]we can't administer adversity to humans. 0:09:50.182,0:09:52.775 But God does experiments with humans, 0:09:52.799,0:09:55.087 and it's called natural disasters. 0:09:55.111,0:09:59.371 One of the hardest natural disasters[br]in Canadian history 0:09:59.395,0:10:01.805 happened in my province of Quebec. 0:10:01.829,0:10:04.232 It's the ice storm of 1998. 0:10:04.256,0:10:08.056 We lost our entire electrical grid[br]because of an ice storm 0:10:08.080,0:10:11.077 when the temperatures[br]were, in the dead of winter in Quebec, 0:10:11.101,0:10:13.050 minus 20 to minus 30. 0:10:13.074,0:10:15.606 And there were pregnant[br]mothers during that time. 0:10:16.082,0:10:22.114 And my colleague Suzanne King[br]followed the children of these mothers 0:10:22.138,0:10:23.852 for 15 years. 0:10:24.565,0:10:28.811 And what happened was,[br]that as the stress increased -- 0:10:28.835,0:10:31.443 and here we had objective[br]measures of stress: 0:10:31.467,0:10:35.905 How long were you without power?[br]Where did you spend your time? 0:10:35.929,0:10:40.932 Was it in your mother-in-law's apartment[br]or in some posh country home? 0:10:40.956,0:10:43.614 So all of these added up[br]to a social stress scale, 0:10:43.638,0:10:45.020 and you can ask the question: 0:10:45.044,0:10:48.088 How did the children look? 0:10:48.112,0:10:50.746 And it appears that as stress increases, 0:10:50.770,0:10:52.828 the children develop more autism, 0:10:52.852,0:10:55.391 they develop more metabolic diseases 0:10:55.415,0:10:58.247 and they develop more autoimmune diseases. 0:10:58.787,0:11:01.211 We would map the methylation state, 0:11:01.235,0:11:06.773 and again, you see the green genes[br]becoming red as stress increases, 0:11:06.797,0:11:10.289 the red genes becoming green[br]as stress increases, 0:11:10.313,0:11:14.863 an entire rearrangement[br]of the genome in response to stress. 0:11:17.442,0:11:20.651 So if we can program genes, 0:11:20.675,0:11:24.648 if we are not just the slaves[br]of the history of our genes, 0:11:24.672,0:11:27.300 that they could be programmed,[br]can we deprogram them? 0:11:28.093,0:11:32.675 Because epigenetic causes[br]can cause diseases like cancer, 0:11:33.659,0:11:35.462 metabolic disease 0:11:35.486,0:11:37.589 and mental health diseases. 0:11:38.120,0:11:40.813 Let's talk about cocaine addiction. 0:11:41.575,0:11:44.631 Cocaine addiction is a terrible situation 0:11:44.655,0:11:48.422 that can lead to death[br]and to loss of human life. 0:11:49.545,0:11:51.470 We asked the question: 0:11:51.494,0:11:54.733 Can we reprogram the addicted brain 0:11:54.757,0:11:59.681 to make that animal not addicted anymore? 0:12:00.377,0:12:04.657 We used a cocaine addiction model 0:12:04.681,0:12:06.770 that recapitulates what happens in humans. 0:12:06.794,0:12:09.462 In humans, you're in high school, 0:12:09.486,0:12:11.566 some friends suggest you use some cocaine, 0:12:11.590,0:12:13.396 you take cocaine, nothing happens. 0:12:13.420,0:12:17.621 Months pass by, something reminds you[br]of what happened the first time, 0:12:17.645,0:12:19.285 a pusher pushes cocaine, 0:12:19.309,0:12:22.141 and you become addicted[br]and your life has changed. 0:12:22.165,0:12:23.811 In rats, we do the same thing. 0:12:23.835,0:12:25.410 My colleague, Gal Yadid, 0:12:25.434,0:12:28.434 he trains the animals[br]to get used to cocaine, 0:12:28.458,0:12:31.586 then for one month, no cocaine. 0:12:31.610,0:12:35.286 Then he reminds them of the party[br]when they saw the cocaine the first time 0:12:35.310,0:12:38.126 by cue, the colors of the cage[br]when they saw cocaine. 0:12:38.150,0:12:39.802 And they go crazy. 0:12:39.826,0:12:42.273 They will press the lever to get cocaine 0:12:42.297,0:12:43.556 till they die. 0:12:44.047,0:12:48.490 We first determined that the difference[br]between these animals 0:12:48.514,0:12:51.215 is that during that time[br]when nothing happens, 0:12:51.239,0:12:53.011 there's no cocaine around, 0:12:53.035,0:12:54.956 their epigenome is rearranged. 0:12:54.980,0:12:57.869 Their genes are re-marked[br]in a different way, 0:12:57.893,0:13:01.635 and when the cue comes,[br]their genome is ready 0:13:01.659,0:13:03.948 to develop this addictive phenotype. 0:13:04.565,0:13:11.335 So we treated these animals with drugs[br]that either increase DNA methylation, 0:13:11.359,0:13:13.583 which was the epigenetic[br]marker to look at, 0:13:13.607,0:13:17.090 or decrease epigenetic markings. 0:13:17.114,0:13:20.369 And we found that[br]if we increased methylation, 0:13:20.393,0:13:22.276 these animals go even crazier. 0:13:22.300,0:13:24.784 They become more craving for cocaine. 0:13:24.808,0:13:28.234 But if we reduce the DNA methylation, 0:13:28.258,0:13:30.362 the animals are not addicted anymore. 0:13:30.386,0:13:32.005 We have reprogrammed them. 0:13:32.029,0:13:35.335 And a fundamental difference[br]between an epigenetic drug 0:13:35.359,0:13:36.665 and any other drug 0:13:36.689,0:13:38.861 is that with epigenetic drugs, 0:13:38.885,0:13:43.017 we essentially remove[br]the signs of experience, 0:13:43.041,0:13:45.168 and once they're gone, 0:13:45.192,0:13:48.213 they will not come back[br]unless you have the same experience. 0:13:48.237,0:13:49.891 The animal now is reprogrammed. 0:13:49.915,0:13:54.136 So when we visited the animals[br]30 days, 60 days later, 0:13:54.160,0:13:57.079 which is in human terms[br]many years of life, 0:13:57.103,0:14:02.409 they were still not addicted --[br]by a single epigenetic treatment. 0:14:04.472,0:14:07.743 So what did we learn about DNA? 0:14:07.767,0:14:10.892 DNA is not just a sequence of letters; 0:14:10.916,0:14:13.035 it's not just a script. 0:14:13.059,0:14:15.430 DNA is a dynamic movie. 0:14:16.367,0:14:21.278 Our experiences are being written[br]into this movie, which is interactive. 0:14:21.302,0:14:24.855 You're, like, watching a movie[br]of your life, with the DNA, 0:14:24.879,0:14:26.661 with your remote control. 0:14:26.685,0:14:30.074 You can remove an actor and add an actor. 0:14:30.872,0:14:36.767 And so you have, in spite[br]of the deterministic nature of genetics, 0:14:36.791,0:14:40.480 you have control of the way[br]your genes look, 0:14:40.504,0:14:43.774 and this has a tremendous[br]optimistic message 0:14:43.798,0:14:47.306 for the ability to now encounter[br]some of the deadly diseases 0:14:47.330,0:14:50.234 like cancer, mental health, 0:14:50.258,0:14:53.186 with a new approach, 0:14:53.210,0:14:55.744 looking at them as maladaptation. 0:14:55.768,0:14:58.842 And if we can epigenetically intervene, 0:14:58.866,0:15:02.362 [we can] reverse the movie[br]by removing an actor 0:15:02.386,0:15:05.243 and setting up a new narrative. 0:15:06.028,0:15:08.525 So what I told you today is, 0:15:08.549,0:15:13.641 our DNA is really combined[br]of two components, 0:15:13.665,0:15:15.490 two layers of information. 0:15:16.106,0:15:19.781 One layer of information is old, 0:15:19.805,0:15:23.310 evolved from millions[br]of years of evolution. 0:15:23.334,0:15:26.510 It is fixed, and very hard to change. 0:15:27.411,0:15:31.261 The other layer of information[br]is the epigenetic layer, 0:15:31.285,0:15:35.180 which is open and dynamic 0:15:35.204,0:15:39.796 and sets up a narrative[br]that is interactive, 0:15:39.820,0:15:46.608 that allows us to control,[br]to a large extent, our destiny, 0:15:47.695,0:15:51.151 to help the destiny of our children 0:15:51.175,0:15:55.330 and to hopefully conquer disease 0:15:55.354,0:15:59.770 and serious health challenges 0:15:59.794,0:16:03.405 that have plagued humankind[br]for a long time. 0:16:03.429,0:16:06.822 So even though we are determined 0:16:06.846,0:16:08.601 by our genes, 0:16:08.625,0:16:11.692 we have a degree of freedom 0:16:11.716,0:16:15.849 that can set up our life[br]to a life of responsibility. 0:16:15.873,0:16:17.093 Thank you. 0:16:17.117,0:16:22.072 (Applause)