0:00:15.250,0:00:17.333 I would like to share with you today 0:00:17.334,0:00:23.282 a very interesting experience[br]I had in my neurosurgical life. 0:00:23.283,0:00:25.537 I am a neurosurgeon, 0:00:25.538,0:00:29.237 and I have to deal[br]with human tragedies daily. 0:00:30.397,0:00:36.619 It's a real disaster to see people[br]after a car accident or after a stroke. 0:00:36.620,0:00:40.455 If you have a big part[br]of your brain that is destroyed, 0:00:40.456,0:00:46.126 unfortunately, the central nervous system[br]has very little ability for self-repair. 0:00:46.127,0:00:51.670 One of my neurosurgical dreams was[br]always to try to give back a function 0:00:51.671,0:00:53.175 to someone who has lost it 0:00:53.176,0:00:56.464 because people remain[br]severely handicapped, 0:00:56.465,0:00:59.818 and it's revolting to see that every day. 0:00:59.834,0:01:02.917 So that's probably[br]why I've chosen this specialty 0:01:02.919,0:01:04.902 called functional neurosurgery. 0:01:04.903,0:01:07.106 Functional neurosurgeons try 0:01:07.107,0:01:12.641 to give back functions or to improve them[br]through surgical strategies 0:01:12.642,0:01:17.220 like deep brain stimulation, for example,[br]that's the most famous strategy. 0:01:18.800,0:01:22.511 14 years ago, I participated 0:01:22.512,0:01:26.708 in a major discovery that, in my opinion, 0:01:26.709,0:01:29.808 would have an important impact[br]on the patient's recovery 0:01:29.809,0:01:33.998 after a major insult[br]to the central nervous system. 0:01:33.999,0:01:37.354 That's the story[br]I would like to tell you today. 0:01:37.355,0:01:39.333 Before telling you the story, 0:01:41.103,0:01:46.001 I have to introduce you to[br]two very important and different actors; 0:01:46.002,0:01:50.514 without them it'd never have been[br]possible to have this story today. 0:01:51.894,0:01:55.056 The first one is not in the room. 0:01:55.057,0:01:57.432 You can understand why. 0:01:57.433,0:02:01.632 It's not exactly this cow,[br]but she represents her cousin, 0:02:01.633,0:02:03.956 the South American cow. 0:02:03.957,0:02:07.559 Without the serum[br]of this South American cow, 0:02:07.560,0:02:12.541 we would not have been able[br]to grow adult brain cells. 0:02:12.542,0:02:18.493 The second actor, he is not in the room,[br]but he is not eating grass. 0:02:18.494,0:02:22.601 He is my very good friend[br]and collaborator, Jean-François Brunet, 0:02:22.602,0:02:27.352 who is a biologist and without[br]whose patience and pugnacity, 0:02:27.353,0:02:31.746 we would never have been able[br]to grow brain cells. 0:02:31.747,0:02:34.061 So now, let's go back to the story. 0:02:35.621,0:02:40.673 You have to imagine[br]that about 14 years ago, 0:02:40.674,0:02:43.465 I was a chief resident in neurosurgery, 0:02:43.466,0:02:49.442 and chief residents work a lot,[br]day and night, doing a lot of emergencies. 0:02:49.443,0:02:54.920 And sometimes, during these emergencies[br]you have to remove a piece of the brain. 0:02:54.921,0:02:58.259 It's not for fun, it's because[br]someone had a car accident, 0:02:58.260,0:03:01.500 has a swollen brain,[br]and you have to do craniectomy, 0:03:01.525,0:03:04.502 otherwise the patient is going to die; 0:03:04.503,0:03:07.824 so, sometimes, you have to[br]remove a piece of the brain. 0:03:07.825,0:03:11.206 And we thought with Jean-François[br]who is a biologist in his lab: 0:03:11.207,0:03:13.181 "Why shouldn't we do something 0:03:13.182,0:03:17.627 with these pieces of the brain[br]that we have to sample so often?" 0:03:17.628,0:03:19.952 Jean-François and his patient said: 0:03:19.953,0:03:23.279 "I'm sure I am going to do[br]something very interesting with that." 0:03:23.280,0:03:26.084 He tried with different types of serums, 0:03:26.085,0:03:30.329 and he saw, finally,[br]after many, many attempts, 0:03:30.330,0:03:34.652 that the serums from the cow[br]I introduced to you previously... 0:03:34.653,0:03:39.112 One day he saw that under his microscope. 0:03:39.113,0:03:43.903 And you have to realize[br]is that this type of culture 0:03:43.904,0:03:47.518 really looks like a stem cell culture. 0:03:47.519,0:03:51.437 But you also have to know[br]that at that time, 14 years ago, 0:03:51.438,0:03:57.231 we thought that the only stem cells[br]we have in the central nervous system 0:03:57.232,0:04:02.936 were really deeply located[br]in the brain in two very small niches. 0:04:02.937,0:04:07.409 But here, Jean-François with any type[br]of samples he got from cortex, 0:04:07.410,0:04:12.335 got this type of cells,[br]which was incredible. 0:04:12.336,0:04:16.072 And what you can see,[br]on this type of cells, 0:04:16.083,0:04:18.458 the green cells here are astrocytes 0:04:18.464,0:04:22.845 those are the cells that are supporting[br]the neurons in the normal brain, 0:04:22.846,0:04:28.331 and inside these little round cells are[br]immature neurons, immature little cells 0:04:28.332,0:04:31.750 that could turn into mature cells. 0:04:31.751,0:04:35.850 So when we showed that[br]to people at that time, they said: 0:04:35.851,0:04:40.885 "That's not possible to have stem cells[br]in this type of culture from the cortex, 0:04:40.886,0:04:45.340 you must have taken some stem cells[br][from the cortex into the culture]." 0:04:45.341,0:04:48.691 We said, "No," because they[br]do not behave like stem cells, 0:04:48.692,0:04:53.488 they divide much more slowly,[br]and they never form tumors, 0:04:53.489,0:04:55.714 and they are really more indolent, 0:04:55.715,0:05:01.669 and after awhile, 10 or 15 weeks[br]of culture, they also die. 0:05:01.670,0:05:05.589 It's not like something[br]which is renewing and renewing. 0:05:06.319,0:05:12.324 Finally, we realized[br]where these cells came from 0:05:12.325,0:05:14.837 - because they were not coming[br]from stem cells - 0:05:14.838,0:05:18.876 these blue cells you see here. 0:05:18.877,0:05:21.599 All of you have these cells in your brain. 0:05:21.600,0:05:24.674 And that's something[br]that was discovered quite recently. 0:05:24.675,0:05:30.123 These cells are called[br]doublecortin positive cells. 0:05:30.124,0:05:33.327 They are very abundant in fetuses 0:05:33.328,0:05:38.084 because they help the formation[br]of the folding of the cortex. 0:05:38.085,0:05:44.642 Our cortex is like a folded structure,[br]and these cells help with that. 0:05:44.643,0:05:49.276 But we thought[br]that they disappear in adults, 0:05:49.277,0:05:52.816 but we discovered more recently[br]that it was not true. 0:05:52.817,0:05:57.656 4% of the cortical cells are[br]doublecortin positive cells. 0:05:57.657,0:06:00.748 We don't know what they are for. 0:06:00.749,0:06:02.239 Or what they are. 0:06:02.240,0:06:05.971 Do they help us when we have a lesion[br]somewhere? We don't exactly know that. 0:06:05.972,0:06:08.404 But what we know is that from these cells 0:06:08.405,0:06:11.577 we got this cell culture[br]that I showed you. 0:06:12.917,0:06:15.870 So of course, when biologists[br]work with neurosurgeons, 0:06:15.871,0:06:18.004 neurosurgeons are always very pragmatic: 0:06:18.005,0:06:22.424 "Wow, that's a great source of cells.[br]We may do something." 0:06:22.425,0:06:24.895 I told you that we are so frustrated 0:06:24.896,0:06:29.308 because the central nervous system[br]has so little ability for self-repair. 0:06:29.309,0:06:33.265 Maybe we've found[br]something to help our patients. 0:06:35.506,0:06:39.511 We thought a little bit,[br]and we came up with one concept. 0:06:40.641,0:06:44.611 Why shouldn't we take[br]a biopsy of one individual? 0:06:46.491,0:06:48.366 -Because we know how to do it; 0:06:48.367,0:06:53.213 we put these cells in culture[br]- we know how to do it - 0:06:53.214,0:06:55.416 we labeled the cells, 0:06:55.417,0:06:59.251 and then we re-implant[br]the cells somewhere else in the brain. 0:07:00.501,0:07:01.893 Great. Let's do it. 0:07:01.894,0:07:04.849 Of course, you can't do it[br]on a human first, 0:07:04.850,0:07:11.084 everybody knows you have to[br]do it first in a rodent model. 0:07:11.109,0:07:14.130 But unfortunately, rodents don't have 0:07:14.131,0:07:17.910 these double-quotient[br]positive cells in their cortex. 0:07:17.911,0:07:21.507 We don't know why,[br]but a rodent doesn't help us. 0:07:21.508,0:07:26.032 So we had to find[br]another type of animal to work with. 0:07:26.033,0:07:27.737 Fortunately, we met... 0:07:27.738,0:07:32.187 - I already knew him, he was a good friend[br]and he believed in our concept - 0:07:32.209,0:07:36.580 Eric Rouiller, Professor of Physiology[br]in Fribourg, who has 0:07:36.581,0:07:39.436 the biggest monkey facility in Switzerland 0:07:39.437,0:07:41.400 and he helped us. 0:07:41.401,0:07:45.491 He said: "Your concept is great,[br]I believe in what you are doing. 0:07:45.496,0:07:48.776 Try with these two monkeys." 0:07:48.777,0:07:50.581 We were very excited. 0:07:50.582,0:07:52.107 First we could prove 0:07:52.108,0:07:55.319 that we were able to do exactly[br]the same culture as that in humans, 0:07:55.320,0:07:59.532 because monkeys have exactly[br]the same cell composition as us. 0:07:59.533,0:08:03.472 Then, we did the cell culture labeling[br]and re-implantation. 0:08:03.473,0:08:06.457 The first question we had was: 0:08:06.459,0:08:11.626 how will these cells behave,[br]if are re-implanted in a normal brain? 0:08:13.136,0:08:18.504 What will they become if are re-implanted[br]in a lesion or close to a lesion? 0:08:19.884,0:08:25.662 Very interestingly, when they're implanted[br]close in a normal brain, they disappear. 0:08:25.663,0:08:31.065 It's as if you take a biopsy,[br]you take the cells out from their home, 0:08:31.066,0:08:35.416 you put them in culture,[br]re-implant them in the same individuals 0:08:35.417,0:08:38.126 - so you don't have immunoresponse, 0:08:38.153,0:08:42.256 they recognize they're here,[br]but they see the space is already busy, 0:08:42.258,0:08:45.029 so they say: "I am not necessary[br]here, so bye-bye, I go." 0:08:45.030,0:08:48.539 But if you implant them close to a lesion, 0:08:48.540,0:08:52.579 they go back home and they say,[br]"There's an empty space," 0:08:52.584,0:08:55.416 they start to accommodate, 0:08:55.417,0:08:57.919 and it would take them[br]a month, a month and half, 0:08:57.920,0:09:02.042 but then they start to grow[br]and become mature neurons. 0:09:02.043,0:09:07.032 That was exactly what we saw three months[br]after a re-implantation close to a lesion. 0:09:07.042,0:09:10.785 You see these red cells[br]which are those we re-implanted, 0:09:10.786,0:09:14.793 and note they are not little round cells[br]I showed you in the beginning, 0:09:14.794,0:09:18.608 but they are bigger neurons with axons; 0:09:18.609,0:09:22.007 we were under the impression[br]that they recolonized the area. 0:09:23.872,0:09:28.170 We could also prove very nicely[br]that these were the same cells 0:09:28.171,0:09:30.051 we had used in our culture. 0:09:33.876,0:09:38.752 Because here you see here that's the dye[br]we use in our culture, the red dye, 0:09:38.753,0:09:43.716 while the green dye is[br]the marker for the mature neurons. 0:09:43.717,0:09:47.858 So you see that these two cells[br]have a double labeling: 0:09:47.859,0:09:50.771 it means there are both green and red; 0:09:50.772,0:09:54.030 it means they are mature neurons[br]that were previously in the culture, 0:09:54.031,0:09:55.390 as immature neurons, 0:09:55.391,0:09:57.845 and they turned into mature neurons. 0:09:57.846,0:09:59.988 Of course what is the next step? 0:09:59.989,0:10:03.987 Especially for a neurosurgeon, you want[br]to know what the implications are: 0:10:03.988,0:10:07.673 Is it working? Is it good[br]to have these cells in? 0:10:07.674,0:10:09.661 So that's what we did. 0:10:09.662,0:10:15.488 What we did was we trained[br]a few monkeys to do a specific task 0:10:15.489,0:10:20.313 - to take and grab some food pellets[br]in a drawer on a tray - 0:10:20.314,0:10:22.066 and they were really good at it. 0:10:22.067,0:10:26.879 It took some time to train them well. 0:10:26.880,0:10:29.904 They reached a very good level[br]of performance. 0:10:29.905,0:10:33.609 When they were stable[br]at this level of performance, 0:10:33.610,0:10:39.219 we performed a little lesion[br]in the central motor cortex 0:10:39.220,0:10:42.708 corresponding to the hand motion. 0:10:42.709,0:10:46.001 So of course, immediately[br]after that, they are plegic, 0:10:46.019,0:10:50.273 they can not move the arm any more;[br]they are not able to do the task. 0:10:50.274,0:10:53.263 But nature's done quite well. 0:10:53.264,0:10:56.458 We are able of recovery,[br]spontaneous recovery, 0:10:56.459,0:11:00.335 - probably due to the spasticity - 0:11:00.338,0:11:04.185 and performance becomes better[br]but only to a certain extent. 0:11:04.186,0:11:08.906 So they are able to so something[br]but not as well as before. 0:11:10.356,0:11:16.380 At that stage, we took the biopsy,[br]we did the culture, we re-implanted. 0:11:16.381,0:11:18.446 And what we saw, 0:11:18.447,0:11:23.025 and I think this picture[br]is better than any graph... 0:11:24.515,0:11:26.936 So you see, on the left 0:11:28.086,0:11:32.337 there is the money at the end[br]of his best recovery, 0:11:32.338,0:11:36.122 when he has spontaneously recovered. 0:11:37.375,0:11:41.375 On the right, a monkey[br]two months after re-implantation. 0:11:42.494,0:11:46.004 So all the monkeys we re-implanted 0:11:46.005,0:11:50.895 performed better than those[br]that haven't been re-implanted. 0:11:53.365,0:11:55.893 Well, I think it's a nice story. 0:11:58.003,0:12:00.020 So now what is the next step? 0:12:00.021,0:12:03.498 Of course, we have a lot of experiments[br]done, with different models, 0:12:03.499,0:12:06.526 and we have understood[br]many things since then. 0:12:06.527,0:12:11.717 But still, my aim, and from the beginning[br]of my talk, is to apply this to humans. 0:12:13.827,0:12:17.463 I must say that enthusiasm[br]decreases a little bit 0:12:17.464,0:12:23.422 when you realize how difficult it is[br]to go through all these processes. 0:12:23.423,0:12:28.513 And to obtain the authorization[br]to go into human trials. 0:12:29.289,0:12:33.072 But, I still hope I'll be able[br]to do it before I retire. 0:12:34.232,0:12:36.537 Thank you so much for your attention. 0:12:36.538,0:12:38.138 (Applause)