1 00:00:15,250 --> 00:00:17,333 I would like to share with you today 2 00:00:17,334 --> 00:00:23,282 a very interesting experience I had in my neurosurgical life. 3 00:00:23,283 --> 00:00:25,537 I am a neurosurgeon, 4 00:00:25,538 --> 00:00:29,237 and I have to deal with human tragedies daily. 5 00:00:30,397 --> 00:00:36,619 It's a real disaster to see people after a car accident or after a stroke. 6 00:00:36,620 --> 00:00:40,455 If you have a big part of your brain that is destroyed, 7 00:00:40,456 --> 00:00:46,126 unfortunately, the central nervous system has very little ability for self-repair. 8 00:00:46,127 --> 00:00:51,670 One of my neurosurgical dreams was always to try to give back a function 9 00:00:51,671 --> 00:00:53,175 to someone who has lost it 10 00:00:53,176 --> 00:00:56,464 because people remain severely handicapped, 11 00:00:56,465 --> 00:00:59,818 and it's revolting to see that every day. 12 00:00:59,834 --> 00:01:02,917 So that's probably why I've chosen this specialty 13 00:01:02,919 --> 00:01:04,902 called functional neurosurgery. 14 00:01:04,903 --> 00:01:07,106 Functional neurosurgeons try 15 00:01:07,107 --> 00:01:12,641 to give back functions or to improve them through surgical strategies 16 00:01:12,642 --> 00:01:17,220 like deep brain stimulation, for example, that's the most famous strategy. 17 00:01:18,800 --> 00:01:22,511 14 years ago, I participated 18 00:01:22,512 --> 00:01:26,708 in a major discovery that, in my opinion, 19 00:01:26,709 --> 00:01:29,808 would have an important impact on the patient's recovery 20 00:01:29,809 --> 00:01:33,998 after a major insult to the central nervous system. 21 00:01:33,999 --> 00:01:37,354 That's the story I would like to tell you today. 22 00:01:37,355 --> 00:01:39,333 Before telling you the story, 23 00:01:41,103 --> 00:01:46,001 I have to introduce you to two very important and different actors; 24 00:01:46,002 --> 00:01:50,514 without them it'd never have been possible to have this story today. 25 00:01:51,894 --> 00:01:55,056 The first one is not in the room. 26 00:01:55,057 --> 00:01:57,432 You can understand why. 27 00:01:57,433 --> 00:02:01,632 It's not exactly this cow, but she represents her cousin, 28 00:02:01,633 --> 00:02:03,956 the South American cow. 29 00:02:03,957 --> 00:02:07,559 Without the serum of this South American cow, 30 00:02:07,560 --> 00:02:12,541 we would not have been able to grow adult brain cells. 31 00:02:12,542 --> 00:02:18,493 The second actor, he is not in the room, but he is not eating grass. 32 00:02:18,494 --> 00:02:22,601 He is my very good friend and collaborator, Jean-François Brunet, 33 00:02:22,602 --> 00:02:27,352 who is a biologist and without whose patience and pugnacity, 34 00:02:27,353 --> 00:02:31,746 we would never have been able to grow brain cells. 35 00:02:31,747 --> 00:02:34,061 So now, let's go back to the story. 36 00:02:35,621 --> 00:02:40,673 You have to imagine that about 14 years ago, 37 00:02:40,674 --> 00:02:43,465 I was a chief resident in neurosurgery, 38 00:02:43,466 --> 00:02:49,442 and chief residents work a lot, day and night, doing a lot of emergencies. 39 00:02:49,443 --> 00:02:54,920 And sometimes, during these emergencies you have to remove a piece of the brain. 40 00:02:54,921 --> 00:02:58,259 It's not for fun, it's because someone had a car accident, 41 00:02:58,260 --> 00:03:01,500 has a swollen brain, and you have to do craniectomy, 42 00:03:01,525 --> 00:03:04,502 otherwise the patient is going to die; 43 00:03:04,503 --> 00:03:07,824 so, sometimes, you have to remove a piece of the brain. 44 00:03:07,825 --> 00:03:11,206 And we thought with Jean-François who is a biologist in his lab: 45 00:03:11,207 --> 00:03:13,181 "Why shouldn't we do something 46 00:03:13,182 --> 00:03:17,627 with these pieces of the brain that we have to sample so often?" 47 00:03:17,628 --> 00:03:19,952 Jean-François and his patient said: 48 00:03:19,953 --> 00:03:23,279 "I'm sure I am going to do something very interesting with that." 49 00:03:23,280 --> 00:03:26,084 He tried with different types of serums, 50 00:03:26,085 --> 00:03:30,329 and he saw, finally, after many, many attempts, 51 00:03:30,330 --> 00:03:34,652 that the serums from the cow I introduced to you previously... 52 00:03:34,653 --> 00:03:39,112 One day he saw that under his microscope. 53 00:03:39,113 --> 00:03:43,903 And you have to realize is that this type of culture 54 00:03:43,904 --> 00:03:47,518 really looks like a stem cell culture. 55 00:03:47,519 --> 00:03:51,437 But you also have to know that at that time, 14 years ago, 56 00:03:51,438 --> 00:03:57,231 we thought that the only stem cells we have in the central nervous system 57 00:03:57,232 --> 00:04:02,936 were really deeply located in the brain in two very small niches. 58 00:04:02,937 --> 00:04:07,409 But here, Jean-François with any type of samples he got from cortex, 59 00:04:07,410 --> 00:04:12,335 got this type of cells, which was incredible. 60 00:04:12,336 --> 00:04:16,072 And what you can see, on this type of cells, 61 00:04:16,083 --> 00:04:18,458 the green cells here are astrocytes 62 00:04:18,464 --> 00:04:22,845 those are the cells that are supporting the neurons in the normal brain, 63 00:04:22,846 --> 00:04:28,331 and inside these little round cells are immature neurons, immature little cells 64 00:04:28,332 --> 00:04:31,750 that could turn into mature cells. 65 00:04:31,751 --> 00:04:35,850 So when we showed that to people at that time, they said: 66 00:04:35,851 --> 00:04:40,885 "That's not possible to have stem cells in this type of culture from the cortex, 67 00:04:40,886 --> 00:04:45,340 you must have taken some stem cells [from the cortex into the culture]." 68 00:04:45,341 --> 00:04:48,691 We said, "No," because they do not behave like stem cells, 69 00:04:48,692 --> 00:04:53,488 they divide much more slowly, and they never form tumors, 70 00:04:53,489 --> 00:04:55,714 and they are really more indolent, 71 00:04:55,715 --> 00:05:01,669 and after awhile, 10 or 15 weeks of culture, they also die. 72 00:05:01,670 --> 00:05:05,589 It's not like something which is renewing and renewing. 73 00:05:06,319 --> 00:05:12,324 Finally, we realized where these cells came from 74 00:05:12,325 --> 00:05:14,837 - because they were not coming from stem cells - 75 00:05:14,838 --> 00:05:18,876 these blue cells you see here. 76 00:05:18,877 --> 00:05:21,599 All of you have these cells in your brain. 77 00:05:21,600 --> 00:05:24,674 And that's something that was discovered quite recently. 78 00:05:24,675 --> 00:05:30,123 These cells are called doublecortin positive cells. 79 00:05:30,124 --> 00:05:33,327 They are very abundant in fetuses 80 00:05:33,328 --> 00:05:38,084 because they help the formation of the folding of the cortex. 81 00:05:38,085 --> 00:05:44,642 Our cortex is like a folded structure, and these cells help with that. 82 00:05:44,643 --> 00:05:49,276 But we thought that they disappear in adults, 83 00:05:49,277 --> 00:05:52,816 but we discovered more recently that it was not true. 84 00:05:52,817 --> 00:05:57,656 4% of the cortical cells are doublecortin positive cells. 85 00:05:57,657 --> 00:06:00,748 We don't know what they are for. 86 00:06:00,749 --> 00:06:02,239 Or what they are. 87 00:06:02,240 --> 00:06:05,971 Do they help us when we have a lesion somewhere? We don't exactly know that. 88 00:06:05,972 --> 00:06:08,404 But what we know is that from these cells 89 00:06:08,405 --> 00:06:11,577 we got this cell culture that I showed you. 90 00:06:12,917 --> 00:06:15,870 So of course, when biologists work with neurosurgeons, 91 00:06:15,871 --> 00:06:18,004 neurosurgeons are always very pragmatic: 92 00:06:18,005 --> 00:06:22,424 "Wow, that's a great source of cells. We may do something." 93 00:06:22,425 --> 00:06:24,895 I told you that we are so frustrated 94 00:06:24,896 --> 00:06:29,308 because the central nervous system has so little ability for self-repair. 95 00:06:29,309 --> 00:06:33,265 Maybe we've found something to help our patients. 96 00:06:35,506 --> 00:06:39,511 We thought a little bit, and we came up with one concept. 97 00:06:40,641 --> 00:06:44,611 Why shouldn't we take a biopsy of one individual? 98 00:06:46,491 --> 00:06:48,366 -Because we know how to do it; 99 00:06:48,367 --> 00:06:53,213 we put these cells in culture - we know how to do it - 100 00:06:53,214 --> 00:06:55,416 we labeled the cells, 101 00:06:55,417 --> 00:06:59,251 and then we re-implant the cells somewhere else in the brain. 102 00:07:00,501 --> 00:07:01,893 Great. Let's do it. 103 00:07:01,894 --> 00:07:04,849 Of course, you can't do it on a human first, 104 00:07:04,850 --> 00:07:11,084 everybody knows you have to do it first in a rodent model. 105 00:07:11,109 --> 00:07:14,130 But unfortunately, rodents don't have 106 00:07:14,131 --> 00:07:17,910 these double-quotient positive cells in their cortex. 107 00:07:17,911 --> 00:07:21,507 We don't know why, but a rodent doesn't help us. 108 00:07:21,508 --> 00:07:26,032 So we had to find another type of animal to work with. 109 00:07:26,033 --> 00:07:27,737 Fortunately, we met... 110 00:07:27,738 --> 00:07:32,187 - I already knew him, he was a good friend and he believed in our concept - 111 00:07:32,209 --> 00:07:36,580 Eric Rouiller, Professor of Physiology in Fribourg, who has 112 00:07:36,581 --> 00:07:39,436 the biggest monkey facility in Switzerland 113 00:07:39,437 --> 00:07:41,400 and he helped us. 114 00:07:41,401 --> 00:07:45,491 He said: "Your concept is great, I believe in what you are doing. 115 00:07:45,496 --> 00:07:48,776 Try with these two monkeys." 116 00:07:48,777 --> 00:07:50,581 We were very excited. 117 00:07:50,582 --> 00:07:52,107 First we could prove 118 00:07:52,108 --> 00:07:55,319 that we were able to do exactly the same culture as that in humans, 119 00:07:55,320 --> 00:07:59,532 because monkeys have exactly the same cell composition as us. 120 00:07:59,533 --> 00:08:03,472 Then, we did the cell culture labeling and re-implantation. 121 00:08:03,473 --> 00:08:06,457 The first question we had was: 122 00:08:06,459 --> 00:08:11,626 how will these cells behave, if are re-implanted in a normal brain? 123 00:08:13,136 --> 00:08:18,504 What will they become if are re-implanted in a lesion or close to a lesion? 124 00:08:19,884 --> 00:08:25,662 Very interestingly, when they're implanted close in a normal brain, they disappear. 125 00:08:25,663 --> 00:08:31,065 It's as if you take a biopsy, you take the cells out from their home, 126 00:08:31,066 --> 00:08:35,416 you put them in culture, re-implant them in the same individuals 127 00:08:35,417 --> 00:08:38,126 - so you don't have immunoresponse, 128 00:08:38,153 --> 00:08:42,256 they recognize they're here, but they see the space is already busy, 129 00:08:42,258 --> 00:08:45,029 so they say: "I am not necessary here, so bye-bye, I go." 130 00:08:45,030 --> 00:08:48,539 But if you implant them close to a lesion, 131 00:08:48,540 --> 00:08:52,579 they go back home and they say, "There's an empty space," 132 00:08:52,584 --> 00:08:55,416 they start to accommodate, 133 00:08:55,417 --> 00:08:57,919 and it would take them a month, a month and half, 134 00:08:57,920 --> 00:09:02,042 but then they start to grow and become mature neurons. 135 00:09:02,043 --> 00:09:07,032 That was exactly what we saw three months after a re-implantation close to a lesion. 136 00:09:07,042 --> 00:09:10,785 You see these red cells which are those we re-implanted, 137 00:09:10,786 --> 00:09:14,793 and note they are not little round cells I showed you in the beginning, 138 00:09:14,794 --> 00:09:18,608 but they are bigger neurons with axons; 139 00:09:18,609 --> 00:09:22,007 we were under the impression that they recolonized the area. 140 00:09:23,872 --> 00:09:28,170 We could also prove very nicely that these were the same cells 141 00:09:28,171 --> 00:09:30,051 we had used in our culture. 142 00:09:33,876 --> 00:09:38,752 Because here you see here that's the dye we use in our culture, the red dye, 143 00:09:38,753 --> 00:09:43,716 while the green dye is the marker for the mature neurons. 144 00:09:43,717 --> 00:09:47,858 So you see that these two cells have a double labeling: 145 00:09:47,859 --> 00:09:50,771 it means there are both green and red; 146 00:09:50,772 --> 00:09:54,030 it means they are mature neurons that were previously in the culture, 147 00:09:54,031 --> 00:09:55,390 as immature neurons, 148 00:09:55,391 --> 00:09:57,845 and they turned into mature neurons. 149 00:09:57,846 --> 00:09:59,988 Of course what is the next step? 150 00:09:59,989 --> 00:10:03,987 Especially for a neurosurgeon, you want to know what the implications are: 151 00:10:03,988 --> 00:10:07,673 Is it working? Is it good to have these cells in? 152 00:10:07,674 --> 00:10:09,661 So that's what we did. 153 00:10:09,662 --> 00:10:15,488 What we did was we trained a few monkeys to do a specific task 154 00:10:15,489 --> 00:10:20,313 - to take and grab some food pellets in a drawer on a tray - 155 00:10:20,314 --> 00:10:22,066 and they were really good at it. 156 00:10:22,067 --> 00:10:26,879 It took some time to train them well. 157 00:10:26,880 --> 00:10:29,904 They reached a very good level of performance. 158 00:10:29,905 --> 00:10:33,609 When they were stable at this level of performance, 159 00:10:33,610 --> 00:10:39,219 we performed a little lesion in the central motor cortex 160 00:10:39,220 --> 00:10:42,708 corresponding to the hand motion. 161 00:10:42,709 --> 00:10:46,001 So of course, immediately after that, they are plegic, 162 00:10:46,019 --> 00:10:50,273 they can not move the arm any more; they are not able to do the task. 163 00:10:50,274 --> 00:10:53,263 But nature's done quite well. 164 00:10:53,264 --> 00:10:56,458 We are able of recovery, spontaneous recovery, 165 00:10:56,459 --> 00:11:00,335 - probably due to the spasticity - 166 00:11:00,338 --> 00:11:04,185 and performance becomes better but only to a certain extent. 167 00:11:04,186 --> 00:11:08,906 So they are able to so something but not as well as before. 168 00:11:10,356 --> 00:11:16,380 At that stage, we took the biopsy, we did the culture, we re-implanted. 169 00:11:16,381 --> 00:11:18,446 And what we saw, 170 00:11:18,447 --> 00:11:23,025 and I think this picture is better than any graph... 171 00:11:24,515 --> 00:11:26,936 So you see, on the left 172 00:11:28,086 --> 00:11:32,337 there is the money at the end of his best recovery, 173 00:11:32,338 --> 00:11:36,122 when he has spontaneously recovered. 174 00:11:37,375 --> 00:11:41,375 On the right, a monkey two months after re-implantation. 175 00:11:42,494 --> 00:11:46,004 So all the monkeys we re-implanted 176 00:11:46,005 --> 00:11:50,895 performed better than those that haven't been re-implanted. 177 00:11:53,365 --> 00:11:55,893 Well, I think it's a nice story. 178 00:11:58,003 --> 00:12:00,020 So now what is the next step? 179 00:12:00,021 --> 00:12:03,498 Of course, we have a lot of experiments done, with different models, 180 00:12:03,499 --> 00:12:06,526 and we have understood many things since then. 181 00:12:06,527 --> 00:12:11,717 But still, my aim, and from the beginning of my talk, is to apply this to humans. 182 00:12:13,827 --> 00:12:17,463 I must say that enthusiasm decreases a little bit 183 00:12:17,464 --> 00:12:23,422 when you realize how difficult it is to go through all these processes. 184 00:12:23,423 --> 00:12:28,513 And to obtain the authorization to go into human trials. 185 00:12:29,289 --> 00:12:33,072 But, I still hope I'll be able to do it before I retire. 186 00:12:34,232 --> 00:12:36,537 Thank you so much for your attention. 187 00:12:36,538 --> 00:12:38,138 (Applause)