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These are the user uploaded subtitles that are being translated: 1 00:00:01,512 --> 00:00:05,012 (gentle electronic music) 2 00:00:23,359 --> 00:00:26,192 (heavy breathing) 3 00:00:51,806 --> 00:00:54,389 (somber music) 4 00:01:05,730 --> 00:01:08,833 David, can you blow my nose? 5 00:01:10,789 --> 00:01:11,622 Thank you. 6 00:01:39,320 --> 00:01:40,870 Life on Earth was created 7 00:01:40,870 --> 00:01:45,293 in the primordial ocean with sunlight as an energy source. 8 00:01:48,070 --> 00:01:52,030 Cyanobacteria were among the first living organisms, 9 00:01:52,030 --> 00:01:56,950 and they created oxygen that soon helped form an atmosphere 10 00:01:56,950 --> 00:01:59,703 and the basis for all other life on Earth. 11 00:02:00,590 --> 00:02:04,393 Cyanobacteria gave life where there was none. 12 00:02:06,410 --> 00:02:08,840 Are the same organisms today, 13 00:02:08,840 --> 00:02:12,140 fed by human pollution and climate change, 14 00:02:12,140 --> 00:02:16,263 claiming human lives as nature's revenge? 15 00:02:22,020 --> 00:02:22,853 Do you have any advice? 16 00:02:22,853 --> 00:02:25,930 My advice is make sure you drink clean water. 17 00:02:25,930 --> 00:02:27,820 Don't drink green, smelly water. 18 00:02:27,820 --> 00:02:30,720 Do not get exposed to cyanobacteria. 19 00:02:30,720 --> 00:02:33,170 And we know, for example, in Australia, 20 00:02:33,170 --> 00:02:34,970 that there are very large blooms 21 00:02:34,970 --> 00:02:37,720 of blue-green algae that occur often, 22 00:02:37,720 --> 00:02:39,860 and the size and frequency of those blooms 23 00:02:39,860 --> 00:02:43,050 is increasing with increasing temperatures, 24 00:02:43,050 --> 00:02:44,510 increasing global temperatures, 25 00:02:44,510 --> 00:02:48,190 increasing rising sea levels, et cetera. 26 00:02:48,190 --> 00:02:50,480 Because we have proven a link 27 00:02:50,480 --> 00:02:53,220 between the environmental health, 28 00:02:53,220 --> 00:02:56,360 the health of the environment and human health. 29 00:02:56,360 --> 00:02:58,020 And people have to understand that, 30 00:02:58,020 --> 00:03:01,160 that this is not a theory, this is fact. 31 00:03:01,160 --> 00:03:03,500 This is like a slow toxin 32 00:03:03,500 --> 00:03:05,240 and it's a silent killer in a sense, 33 00:03:05,240 --> 00:03:06,800 because we don't know that it's 34 00:03:06,800 --> 00:03:08,140 in the water that we're drinking, 35 00:03:08,140 --> 00:03:10,280 we don't know it's in the food that we're eating, 36 00:03:10,280 --> 00:03:13,050 but we now know that it can cause 37 00:03:13,050 --> 00:03:17,230 these neurodegenerative conditions like Alzheimer's disease. 38 00:03:17,230 --> 00:03:19,640 Yeah, it is, I lose an ALS patient 39 00:03:19,640 --> 00:03:21,283 maybe once every two weeks. 40 00:03:22,210 --> 00:03:27,210 I see two to three new or follow-up ALS patients every week. 41 00:03:28,520 --> 00:03:32,620 I see the devastation it has on families, on patients. 42 00:03:32,620 --> 00:03:35,940 You know, many of us have written grants on this topic, 43 00:03:35,940 --> 00:03:37,840 and we can't get traction. 44 00:03:37,840 --> 00:03:41,180 So the funding has come from the private sector, 45 00:03:41,180 --> 00:03:43,480 not from the public sector. 46 00:03:43,480 --> 00:03:47,540 I think the fact that there is an environmental cause 47 00:03:51,607 --> 00:03:53,507 is somehow going to make this research 48 00:03:55,220 --> 00:03:57,690 less likely to be pursued, 49 00:03:57,690 --> 00:04:00,180 less likely to be accepted by society. 50 00:04:00,180 --> 00:04:02,790 I think this has been the missing puzzle piece, 51 00:04:02,790 --> 00:04:05,390 because there's a lot of very interesting work going on, 52 00:04:05,390 --> 00:04:07,330 but a direct connection 53 00:04:07,330 --> 00:04:11,110 between what we're doing and human disease, 54 00:04:11,110 --> 00:04:16,110 Alzheimer's disease, the Guam disease, ALS, Parkinson's, 55 00:04:16,200 --> 00:04:17,950 that puzzle piece has been missing. 56 00:04:32,240 --> 00:04:35,760 As a biologist and investigative filmmaker, 57 00:04:35,760 --> 00:04:38,300 Bo Landin has for decades brought 58 00:04:38,300 --> 00:04:41,920 important environmental issues to the forefront worldwide. 59 00:04:41,920 --> 00:04:44,920 Well, my hunt for the hidden killer 60 00:04:44,920 --> 00:04:48,800 will start with a journey to Jackson, Wyoming. 61 00:04:48,800 --> 00:04:53,800 I'm about to meet with Paul Cox, an ethnobotanist, 62 00:04:53,920 --> 00:04:57,080 who is gonna take me on a global quest 63 00:04:58,060 --> 00:05:01,687 to solve a puzzle that scientists have tried to solve 64 00:05:01,687 --> 00:05:05,767 for a very, very long time, and that is to find a cure 65 00:05:05,767 --> 00:05:10,200 for ALS, Alzheimer's and Parkinson's. 66 00:05:10,200 --> 00:05:14,630 But my journey with Paul Cox actually started 27 years ago. 67 00:05:14,630 --> 00:05:19,530 Right now I'm driving through a fairly barren 68 00:05:19,530 --> 00:05:22,050 western landscape in the United States, 69 00:05:22,050 --> 00:05:23,763 and this is Wyoming. 70 00:05:24,960 --> 00:05:26,890 But when I first met Paul Cox 71 00:05:26,890 --> 00:05:29,470 it was in a totally different environment. 72 00:05:29,470 --> 00:05:32,560 That was in the rainforest of the South Pacific, 73 00:05:32,560 --> 00:05:33,833 in Western Samoa. 74 00:05:34,883 --> 00:05:38,800 (speaking in foreign language) 75 00:05:43,721 --> 00:05:44,710 Oh look, it's flowering here. 76 00:05:44,710 --> 00:05:46,080 Yeah. In fact, you know, 77 00:05:46,080 --> 00:05:47,857 this is the first time I've seen the flowers. 78 00:05:47,857 --> 00:05:52,420 (speaking in foreign language) 79 00:05:52,420 --> 00:05:55,910 He says it's used for any inflammation activities here. 80 00:05:55,910 --> 00:05:59,200 And we've taken this to the National Cancer Institute. 81 00:05:59,200 --> 00:06:00,300 We're testing it against 82 00:06:00,300 --> 00:06:03,190 39 different types of human cell cancer, 83 00:06:03,190 --> 00:06:05,460 and then we're also looking at 84 00:06:05,460 --> 00:06:06,840 its activity against the AIDS virus. 85 00:06:06,840 --> 00:06:08,700 So our hope here, of course, 86 00:06:08,700 --> 00:06:12,760 is that we can find something of use. 87 00:06:12,760 --> 00:06:17,630 It's really important to make herbarium voucher specimens 88 00:06:17,630 --> 00:06:19,920 of the plants we collect here. 89 00:06:19,920 --> 00:06:21,760 That way if there's ever any question 90 00:06:21,760 --> 00:06:25,130 about the botanical identity of these plants, 91 00:06:25,130 --> 00:06:26,700 we can answer it. (gentle ambient music) 92 00:06:26,700 --> 00:06:29,100 So if we find something of interest here, 93 00:06:29,100 --> 00:06:30,700 we can come back and recollect it, 94 00:06:30,700 --> 00:06:32,640 we can tell the people which plants they are, 95 00:06:32,640 --> 00:06:35,010 and perhaps the people could even grow these things someday 96 00:06:35,010 --> 00:06:36,710 if they turn out to be useful for medicine, 97 00:06:36,710 --> 00:06:38,410 and then help their local economy. 98 00:06:39,550 --> 00:06:42,950 Paul Cox is a different kind of scientist, 99 00:06:42,950 --> 00:06:45,050 driven by a passion for people, 100 00:06:45,050 --> 00:06:48,120 nature, and cultures worldwide. 101 00:06:48,120 --> 00:06:49,550 As a scientist he works 102 00:06:49,550 --> 00:06:52,500 on the frontiers of human understanding, 103 00:06:52,500 --> 00:06:54,540 and as an ethnobotanist he has 104 00:06:54,540 --> 00:06:57,700 a profound respect for traditional knowledge. 105 00:06:57,700 --> 00:07:00,330 My thinking was that indigenous people 106 00:07:00,330 --> 00:07:02,880 have thousands of years of experience 107 00:07:02,880 --> 00:07:05,240 in treating illness, recognizing illness, 108 00:07:05,240 --> 00:07:08,340 using the plants around them to make remedies. 109 00:07:08,340 --> 00:07:10,663 So I decided I would focus in ethnomedicine. 110 00:07:11,970 --> 00:07:15,710 I'd try use patterns of disease and wellness 111 00:07:15,710 --> 00:07:18,290 among indigenous people to yield clues 112 00:07:18,290 --> 00:07:20,770 that we could then test in a laboratory 113 00:07:20,770 --> 00:07:22,123 to come up with new drugs. 114 00:07:23,610 --> 00:07:25,510 I thought about going back to medical school 115 00:07:25,510 --> 00:07:27,600 to become an oncologist. 116 00:07:27,600 --> 00:07:29,180 I realized, well, maybe as a doctor 117 00:07:29,180 --> 00:07:30,950 I could treat hundreds of patients, 118 00:07:30,950 --> 00:07:33,770 but if I could discover a new drug 119 00:07:33,770 --> 00:07:35,367 it would help millions of people, 120 00:07:35,367 --> 00:07:37,267 and I thought it was worth the gamble. 121 00:07:38,570 --> 00:07:40,020 And then the big quest for me was 122 00:07:40,020 --> 00:07:42,253 to try find something to treat ALS, 123 00:07:43,514 --> 00:07:46,770 amyotrophic lateral sclerosis, motor neurone disease, 124 00:07:46,770 --> 00:07:49,010 known in the United States as Lou Gehrig's disease. 125 00:07:49,010 --> 00:07:52,530 I mean, this is probably one of the worst diseases known. 126 00:07:52,530 --> 00:07:55,170 People who get this essentially have a death sentence. 127 00:07:55,170 --> 00:07:58,260 And there have been no drugs discovered since 1993, 128 00:07:58,260 --> 00:08:00,730 not one, for this terrible, terrible illness, 129 00:08:00,730 --> 00:08:04,390 so even though the shot of success is so small, 130 00:08:04,390 --> 00:08:05,720 I think it's worth my life 131 00:08:05,720 --> 00:08:08,151 to try find a new drug for these poor people. 132 00:08:08,151 --> 00:08:09,120 (gentle music) 133 00:08:09,120 --> 00:08:12,040 This story has its origin 15 years ago 134 00:08:12,040 --> 00:08:14,640 on the island of Guam in the Pacific Ocean. 135 00:08:14,640 --> 00:08:17,350 In some villages, after World War II 136 00:08:17,350 --> 00:08:21,530 almost 25% of the local Chamorro people died 137 00:08:21,530 --> 00:08:24,020 in an illness that looked like a combination 138 00:08:24,020 --> 00:08:28,470 of ALS, Alzheimer's, and Parkinson's. 139 00:08:28,470 --> 00:08:31,090 The doctors had no clue what caused 140 00:08:31,090 --> 00:08:34,500 these severe neurological diseases. 141 00:08:34,500 --> 00:08:36,700 The Chamorro people knew that flour 142 00:08:36,700 --> 00:08:40,920 made from cycad seeds and used for tortillas was toxic, 143 00:08:40,920 --> 00:08:43,600 so the seeds were carefully rinsed, 144 00:08:43,600 --> 00:08:46,080 but toxic levels in the flour were low 145 00:08:46,080 --> 00:08:49,100 and could not explain the illnesses. 146 00:08:49,100 --> 00:08:51,760 Paul Cox knew Chamorro people also liked 147 00:08:51,760 --> 00:08:54,720 to eat flying foxes, fruit-eating bats, 148 00:08:54,720 --> 00:08:58,490 which themselves foraged on the cycad seeds. 149 00:08:58,490 --> 00:09:00,400 The scientist found the concentration 150 00:09:00,400 --> 00:09:03,120 of toxins in the flying fox flesh 151 00:09:03,120 --> 00:09:07,410 to be 100 times higher than in cycad flour. 152 00:09:07,410 --> 00:09:11,290 But how did the toxins get into the plants to start with? 153 00:09:11,290 --> 00:09:14,203 That's the first piece of the puzzle Paul looked for. 154 00:09:15,825 --> 00:09:19,570 So if you look around near the base of the soil, 155 00:09:19,570 --> 00:09:23,927 you can find these very unusual coralloid roots. 156 00:09:25,713 --> 00:09:27,240 There is something really fantastic 157 00:09:27,240 --> 00:09:28,520 I'd like to show you here if I can. 158 00:09:28,520 --> 00:09:31,450 So you're saying this is actually the root of. 159 00:09:31,450 --> 00:09:33,250 That's a specialized type of root, 160 00:09:34,238 --> 00:09:37,177 and it harbors something truly incredible inside. 161 00:09:41,340 --> 00:09:42,560 There we go. Oh there, that's. 162 00:09:42,560 --> 00:09:43,910 That's a good one. 163 00:09:43,910 --> 00:09:47,440 You can see that green layer, those are cyanobacteria, 164 00:09:47,440 --> 00:09:49,820 and they live in symbiosis with the tree. 165 00:09:49,820 --> 00:09:53,250 While the tree gets nitrogen fix, so fertilizer, 166 00:09:53,250 --> 00:09:56,090 it also get the toxins the cyanobacteria produce. 167 00:09:56,090 --> 00:09:58,350 But why would it need a toxic substance? 168 00:09:58,350 --> 00:10:00,440 Well, it protects the tree, so you go out in the jungle, 169 00:10:00,440 --> 00:10:02,840 I mean, there's nothing that eats the leaves. 170 00:10:02,840 --> 00:10:05,080 Well, that was sort of the inspiration 171 00:10:05,080 --> 00:10:07,160 because I was thinking about this problem, 172 00:10:07,160 --> 00:10:09,060 thinking about this village, 173 00:10:09,060 --> 00:10:11,610 suddenly realized they're eating the flying foxes, 174 00:10:11,610 --> 00:10:13,610 and then when I suddenly realized 175 00:10:13,610 --> 00:10:15,070 that these cyanobacteria in the roots 176 00:10:15,070 --> 00:10:17,820 I thought, bingo, maybe that's the source of the toxin. 177 00:10:21,530 --> 00:10:26,460 It was April 2003, we discovered two things. 178 00:10:26,460 --> 00:10:30,720 We discovered that cyanobacteria produced this toxin, BMAA. 179 00:10:30,720 --> 00:10:34,120 We also found that BMAA was in the brain tissues 180 00:10:34,120 --> 00:10:35,720 of the villagers who died of the disease, 181 00:10:35,720 --> 00:10:37,780 but not in control patients. 182 00:10:37,780 --> 00:10:40,350 And we discovered it was in the brain tissues 183 00:10:40,350 --> 00:10:41,910 of Alzheimer's patients. 184 00:10:41,910 --> 00:10:43,130 Wow! 185 00:10:43,130 --> 00:10:45,683 I said, you know, we could be self-deluded here. 186 00:10:46,900 --> 00:10:50,250 We really need outside eyes, people who've never heard this, 187 00:10:50,250 --> 00:10:52,183 to give us some confidential feedback. 188 00:10:53,250 --> 00:10:54,250 What are you proposing? 189 00:10:54,250 --> 00:10:57,980 I said, we should go to Stockholm right now. 190 00:10:57,980 --> 00:10:58,813 (laughs) And they said, why? 191 00:10:58,813 --> 00:11:01,510 I said, well, what I'll do is I'll contact 192 00:11:01,510 --> 00:11:04,450 the Royal Academy of Sciences in Stockholm, 193 00:11:04,450 --> 00:11:06,340 ask them for a closed meeting 194 00:11:06,340 --> 00:11:08,760 where we have neurologists, chemists, 195 00:11:08,760 --> 00:11:11,320 and then we'll wait for the gunfire. 196 00:11:11,320 --> 00:11:14,260 And they will point out to us all the things that were wrong 197 00:11:14,260 --> 00:11:17,700 or any way that we've deluded ourselves here. 198 00:11:17,700 --> 00:11:21,250 So we gave our results for about an hour, 199 00:11:21,250 --> 00:11:24,320 and then we stopped, and said, okay, 200 00:11:24,320 --> 00:11:27,066 we welcome your comments or criticisms, 201 00:11:27,066 --> 00:11:30,560 and there was no reaction. 202 00:11:30,560 --> 00:11:33,140 And of course I'm very fond of Swedes, 203 00:11:33,140 --> 00:11:36,090 and they're extremely polite people, but they are academics. 204 00:11:36,090 --> 00:11:39,320 And so I said, you know, we've budgeted two hours here 205 00:11:39,320 --> 00:11:41,730 just to hear your criticisms. 206 00:11:41,730 --> 00:11:44,800 And I think it was Sebastian Conradi, 207 00:11:44,800 --> 00:11:49,003 a famous neurologist from the Karolinska Institute, 208 00:11:50,120 --> 00:11:52,747 he spoke, he said, "You know, 209 00:11:52,747 --> 00:11:54,767 "when we first heard of your ideas 210 00:11:54,767 --> 00:11:57,957 "it was cocktail party jokes here in Stockholm. 211 00:11:57,957 --> 00:12:00,770 "Now we'd like to join with you." 212 00:12:00,770 --> 00:12:03,320 And so that was the beginning of the consortium. 213 00:12:03,320 --> 00:12:05,760 Rachel Dunlop works with Ken Rogers 214 00:12:05,760 --> 00:12:07,350 in Sydney, Australia. 215 00:12:07,350 --> 00:12:09,380 In the world of science, 216 00:12:09,380 --> 00:12:11,660 people that work in different disciplines 217 00:12:11,660 --> 00:12:13,520 don't tend to talk to each other. 218 00:12:13,520 --> 00:12:17,100 So we don't understand what plant biologists are doing, 219 00:12:17,100 --> 00:12:20,120 we don't understand what marine biologists are doing. 220 00:12:20,120 --> 00:12:22,990 I'm a cell biologist, we work in a little silo. 221 00:12:22,990 --> 00:12:26,130 And Paul Cox breaks down those silos 222 00:12:26,130 --> 00:12:29,850 by coming to people with different areas of expertise. 223 00:12:29,850 --> 00:12:32,440 Paul Cox came to you because he has been, 224 00:12:32,440 --> 00:12:37,350 he had this hunch that BMAA, the toxin he found in Guam, 225 00:12:37,350 --> 00:12:40,173 could mess something up in our bodies. 226 00:12:41,220 --> 00:12:44,270 So what did he tell you, and what did he ask you to do? 227 00:12:44,270 --> 00:12:46,640 He knew that we had this special technique 228 00:12:46,640 --> 00:12:48,510 and we had a series of skills 229 00:12:48,510 --> 00:12:50,830 that we used in our lab routinely, 230 00:12:50,830 --> 00:12:51,917 and he came and said, 231 00:12:51,917 --> 00:12:55,047 "Well, I know you guys work in heart disease research, 232 00:12:55,047 --> 00:12:58,707 "but would you mind just stopping all of that 233 00:12:58,707 --> 00:13:03,110 "and maybe coming and doing motor neurone disease, ALS?" 234 00:13:03,110 --> 00:13:06,450 And reading your paper now, 235 00:13:06,450 --> 00:13:09,620 you did find an answer for him. 236 00:13:09,620 --> 00:13:14,410 We did, which was unexpected and also very exciting. 237 00:13:14,410 --> 00:13:18,930 We found that BMAA can actually be mistaken 238 00:13:18,930 --> 00:13:21,040 for another amino acid that our body 239 00:13:21,040 --> 00:13:23,490 naturally uses to make proteins. 240 00:13:23,490 --> 00:13:28,250 So it's a little bit like a battle here between BMAA, 241 00:13:28,250 --> 00:13:31,483 the toxic substances that comes into the body, 242 00:13:31,483 --> 00:13:34,610 and the serine that is naturally occurring in there, 243 00:13:34,610 --> 00:13:36,093 so it's a tug-of-war. 244 00:13:36,980 --> 00:13:37,930 That's right, it is. 245 00:13:37,930 --> 00:13:39,780 I think that's a good analogy, a tug-of-war, 246 00:13:39,780 --> 00:13:42,940 because if there's more BMAA in the cell 247 00:13:42,940 --> 00:13:44,440 it will win the war. 248 00:13:44,440 --> 00:13:48,260 So this may be a trigger in susceptible people 249 00:13:48,260 --> 00:13:51,443 for ALS, a motor neurone disease. 250 00:13:52,970 --> 00:13:55,170 Rachel Dunlop and Ken Rogers 251 00:13:55,170 --> 00:13:58,830 deliver a crucial piece to the toxic puzzle. 252 00:13:58,830 --> 00:14:02,240 They can explain what's happening in the cells. 253 00:14:02,240 --> 00:14:05,720 The BMAA toxin corrupts the body's 254 00:14:05,720 --> 00:14:08,240 protein-building processes. 255 00:14:08,240 --> 00:14:09,730 And they also discover 256 00:14:09,730 --> 00:14:12,630 that the body's own amino acid, L-serine, 257 00:14:12,630 --> 00:14:16,180 in higher doses can counter the effects of the toxin. 258 00:14:16,180 --> 00:14:17,227 That's what we've seen, 259 00:14:17,227 --> 00:14:19,317 I mean you can see these, the shape. 260 00:14:19,317 --> 00:14:21,984 (tank rumbling) 261 00:14:24,170 --> 00:14:26,320 The next piece of this toxic puzzle 262 00:14:26,320 --> 00:14:29,580 comes from an unlikely place, Kuwait. 263 00:14:29,580 --> 00:14:31,580 During the Desert Storm campaign, 264 00:14:31,580 --> 00:14:35,300 soldiers faced and defeated the enemy on the battlefield, 265 00:14:35,300 --> 00:14:38,433 unaware of a hidden killer blowing in the wind. 266 00:14:39,730 --> 00:14:43,000 Bo called up his friend, Kirby Kearns in Qatar. 267 00:14:43,000 --> 00:14:44,650 I need your help. 268 00:14:44,650 --> 00:14:49,470 You know, after the desert war in Kuwait in early 1990s 269 00:14:51,250 --> 00:14:53,320 a lot of American soldiers came down 270 00:14:53,320 --> 00:14:55,540 with ALS, or Lou Gehrig's disease, 271 00:14:55,540 --> 00:14:57,310 as it's called here in the United States, 272 00:14:57,310 --> 00:15:01,140 and no one has been able to explain why. 273 00:15:01,140 --> 00:15:02,580 But Paul Cox has an idea 274 00:15:02,580 --> 00:15:03,870 and this is where we need your help. 275 00:15:03,870 --> 00:15:06,880 So we need to get an air filter 276 00:15:06,880 --> 00:15:09,060 from a truck that drives in Qatar. 277 00:15:09,060 --> 00:15:11,829 Do you think you can find one? 278 00:15:11,829 --> 00:15:13,860 Absolutely, I can do that. 279 00:15:13,860 --> 00:15:15,250 I know just the place, actually. 280 00:15:15,250 --> 00:15:17,770 I know just where I can go to get one. 281 00:15:17,770 --> 00:15:20,120 The roads stretch across the desert landscape, 282 00:15:20,120 --> 00:15:22,350 with many trucks delivering supplies 283 00:15:22,350 --> 00:15:25,020 to the U.S. air base inland. 284 00:15:25,020 --> 00:15:27,230 If anything is sailing in the wind, 285 00:15:27,230 --> 00:15:29,123 truck engines will suck it in. 286 00:15:34,890 --> 00:15:36,477 Hey. How you doing? 287 00:15:36,477 --> 00:15:37,950 Hi, my name is Kirby. 288 00:15:37,950 --> 00:15:38,783 Hi, my name is Ali. 289 00:15:38,783 --> 00:15:39,749 Thank you for helping me, man. 290 00:15:39,749 --> 00:15:40,629 Is this for me? 291 00:15:40,629 --> 00:15:41,462 Ah yes. 292 00:15:41,462 --> 00:15:42,341 Thank you, man. Take it. 293 00:15:42,341 --> 00:15:43,323 Excellent, thank you very much. 294 00:15:43,323 --> 00:15:45,523 I help, brother? Yes please, thank you. 295 00:15:48,088 --> 00:15:48,921 Thank you. 296 00:15:56,280 --> 00:15:59,230 A piece of the desert arrives in Jackson Hole. 297 00:16:02,134 --> 00:16:04,980 (knocking) 298 00:16:04,980 --> 00:16:06,160 Hi, Capri. Hey, how are ya? 299 00:16:06,160 --> 00:16:07,310 Good, how are you? Good. 300 00:16:07,310 --> 00:16:08,720 Thanks very much. 301 00:16:08,720 --> 00:16:10,690 Paul Cox and his team 302 00:16:10,690 --> 00:16:13,163 are about to make a surprising discovery. 303 00:16:15,910 --> 00:16:20,170 Stuck in the filter they find cyanobacteria. 304 00:16:20,170 --> 00:16:23,950 Is it really possible that there are cyanobacteria, 305 00:16:23,950 --> 00:16:26,850 also known as blue-green algae, 306 00:16:26,850 --> 00:16:27,884 in a desert? 307 00:16:27,884 --> 00:16:32,120 (energetic Middle Eastern music) 308 00:16:32,120 --> 00:16:35,973 Suddenly a whole new world opens up to Paul Cox. 309 00:16:39,390 --> 00:16:42,670 In Qatar, Paul teams up with Renee Richer 310 00:16:42,670 --> 00:16:44,323 and Aspasia Chatziefthimiou. 311 00:16:50,560 --> 00:16:54,860 One more piece of the puzzle is about to drop into place. 312 00:16:54,860 --> 00:16:58,910 This desert does hold an important and very dark secret. 313 00:16:58,910 --> 00:17:02,470 Something out here triggered ALS 314 00:17:02,470 --> 00:17:03,790 in those personnel attending 315 00:17:03,790 --> 00:17:06,367 and I'm determined to figure out what it was. 316 00:17:16,670 --> 00:17:18,370 Oh, look at that! 317 00:17:18,370 --> 00:17:19,980 I mean, that's incredible, you look at it. 318 00:17:19,980 --> 00:17:21,770 Oh, look at that, look at that, look, you're seeing. 319 00:17:21,770 --> 00:17:24,440 Oh go, that thing's incredible. 320 00:17:24,440 --> 00:17:27,200 Oh, look at that, do you see how fast that's green? 321 00:17:27,200 --> 00:17:28,900 Renee, get in here, look at this. 322 00:17:28,900 --> 00:17:32,009 Look how green it is right there, I mean, it's incredible. 323 00:17:32,009 --> 00:17:35,720 (camera shutter clicking) 324 00:17:35,720 --> 00:17:39,590 What I'm gonna do is to photograph this while it's dry. 325 00:17:39,590 --> 00:17:40,840 Let's pour some water on 326 00:17:40,840 --> 00:17:42,296 and see how long it takes to green up. 327 00:17:42,296 --> 00:17:45,730 (water pouring) 328 00:17:45,730 --> 00:17:48,330 It's usually on a really hot day, 329 00:17:48,330 --> 00:17:49,670 we can see the green right away, 330 00:17:49,670 --> 00:17:52,360 but I can already see the pigmentation here. 331 00:17:52,360 --> 00:17:55,490 We think of the desert as dry, brown and dusty. 332 00:17:55,490 --> 00:17:57,180 Actually this desert here 333 00:17:57,180 --> 00:17:59,830 is one gigantic green cyanobacteria mat 334 00:17:59,830 --> 00:18:02,650 given the right conditions, and I aim to prove that here. 335 00:18:02,650 --> 00:18:03,880 When we find that the same 336 00:18:03,880 --> 00:18:06,450 cyanobacteria produce neurotoxins, 337 00:18:06,450 --> 00:18:11,450 we realize that cyanobacteria are in desert dust. 338 00:18:11,540 --> 00:18:14,020 In the case of Operation Desert Storm, 339 00:18:14,020 --> 00:18:17,720 the ground forces and mechanics that worked 340 00:18:17,720 --> 00:18:21,160 on the helicopters were deployed for less than a year, 341 00:18:21,160 --> 00:18:24,470 and yet they had a doubling of the rate of ALS 342 00:18:24,470 --> 00:18:26,470 10 years after that deployment, 343 00:18:26,470 --> 00:18:29,120 which we believe is linked to the inhalation of dust. 344 00:18:31,990 --> 00:18:34,620 I arrive in Paris eager to meet a person 345 00:18:34,620 --> 00:18:36,210 who has inspired me to go on 346 00:18:36,210 --> 00:18:37,881 this hunt for the hidden killer. 347 00:18:37,881 --> 00:18:41,798 (speaking in foreign language) 348 00:18:44,290 --> 00:18:46,530 One thing is what you can see in a lab, 349 00:18:46,530 --> 00:18:48,630 it's very different to meet with people 350 00:18:48,630 --> 00:18:52,790 who can give a scientific search a human face. 351 00:18:52,790 --> 00:18:57,340 This will be the first time that I meet Ellie O'Connell. 352 00:18:57,340 --> 00:19:02,340 We have been communicating via emails for a long time now. 353 00:19:03,320 --> 00:19:05,110 And she used to live in Santa Barbara, 354 00:19:05,110 --> 00:19:07,593 and right now she has moved to Paris. 355 00:19:08,950 --> 00:19:10,900 Her ALS is far gone, 356 00:19:10,900 --> 00:19:15,830 and she writes these very inspiring emails to me, 357 00:19:15,830 --> 00:19:17,720 and she's so full of life, 358 00:19:17,720 --> 00:19:21,000 she's so full of fighting this disease 359 00:19:21,000 --> 00:19:23,343 that has struck her and her family. 360 00:19:24,650 --> 00:19:28,180 And she sent me this picture of herself 361 00:19:28,180 --> 00:19:30,110 and her husband, David, 362 00:19:30,110 --> 00:19:33,683 before the ALS went too far. 363 00:19:35,270 --> 00:19:37,883 And they have now made Paris their home. 364 00:19:43,370 --> 00:19:47,130 I'm so amazed that she can smile about her situation. 365 00:19:47,130 --> 00:19:50,537 And she writes, "I have now decided 366 00:19:50,537 --> 00:19:52,637 "that I am in a battle with God. 367 00:19:52,637 --> 00:19:55,517 "I think I told him that either he shows up 368 00:19:55,517 --> 00:19:57,697 "or I'm boycotting him. 369 00:19:57,697 --> 00:19:59,672 "So that's where I'm at." 370 00:19:59,672 --> 00:20:02,922 (solemn ambient music) 371 00:20:09,898 --> 00:20:12,898 (doorbell ringing) 372 00:20:16,820 --> 00:20:17,849 Good evening, hi. 373 00:20:17,849 --> 00:20:18,730 Bo. Hi, Victor. 374 00:20:21,420 --> 00:20:23,260 Hello, everybody. Hi! 375 00:20:23,260 --> 00:20:25,420 Hi there, Ellie. How are you? 376 00:20:25,420 --> 00:20:27,220 Good to see you. Finally we meet. 377 00:20:27,220 --> 00:20:28,580 How are you? Nice to see you. 378 00:20:28,580 --> 00:20:30,368 I feel like I already know you. 379 00:20:30,368 --> 00:20:31,201 Huh? 380 00:20:31,201 --> 00:20:32,430 I feel like I already know you. 381 00:20:32,430 --> 00:20:33,730 Yeah, we do, don't we? We do. 382 00:20:33,730 --> 00:20:34,580 Yeah. 383 00:20:34,580 --> 00:20:37,260 Only 10, 15% of ALS cases 384 00:20:37,260 --> 00:20:39,923 are genetic in nature and are hereditary. 385 00:20:41,030 --> 00:20:42,240 Ellie belongs to the group 386 00:20:42,240 --> 00:20:45,980 who has sporadic ALS, without known causes. 387 00:20:45,980 --> 00:20:48,010 She was already far into her illness 388 00:20:48,010 --> 00:20:50,280 before she realized she had a problem. 389 00:20:50,280 --> 00:20:51,503 But what did you do? 390 00:20:52,930 --> 00:20:57,710 I ignored it from November of 2010 391 00:20:57,710 --> 00:21:00,250 until June of 2011. 392 00:21:00,250 --> 00:21:01,570 I didn't do anything. 393 00:21:01,570 --> 00:21:06,570 I just thought, I have a backache, or I'm very tired. 394 00:21:07,930 --> 00:21:11,320 Like I couldn't cut my fingernails, 395 00:21:11,320 --> 00:21:13,850 I couldn't do my eyebrows. 396 00:21:13,850 --> 00:21:15,510 But I didn't do anything about it. 397 00:21:15,510 --> 00:21:18,620 I went to an acupuncturist, and that was it. 398 00:21:18,620 --> 00:21:21,880 And then finally it was David's birthday, 399 00:21:21,880 --> 00:21:25,497 and I thought, okay, let me go see a doctor, 400 00:21:25,497 --> 00:21:30,237 and like within five minutes she said, 401 00:21:30,237 --> 00:21:32,770 "I think you need to see a neurologist." 402 00:21:32,770 --> 00:21:34,750 And I'm like, what's that? 403 00:21:34,750 --> 00:21:37,350 I had no idea what a neurologist was. 404 00:21:37,350 --> 00:21:40,330 So I said, okay, so I go the next day, 405 00:21:40,330 --> 00:21:42,470 and the neurologist looks at me, 406 00:21:42,470 --> 00:21:45,630 and he looked at me really weird. 407 00:21:45,630 --> 00:21:50,273 When they didn't tell you what was happening to you, 408 00:21:51,280 --> 00:21:53,040 what did that make you feel? 409 00:21:53,040 --> 00:21:54,750 I felt bad for them. 410 00:21:54,750 --> 00:21:55,587 For them? Yes. 411 00:21:55,587 --> 00:21:58,500 Can you explain that, how can it be painful for them? 412 00:21:58,500 --> 00:22:00,430 Because they knew what my future was. 413 00:22:00,430 --> 00:22:03,990 I didn't know, because I had no idea what ALS was. 414 00:22:03,990 --> 00:22:07,927 Even when they told me I had to go home and Google it. 415 00:22:07,927 --> 00:22:10,370 And I just sat there and I read, 416 00:22:10,370 --> 00:22:13,653 will die, will die, will die. 417 00:22:14,633 --> 00:22:17,273 And I'm like, this cannot be happening to me. 418 00:22:19,140 --> 00:22:22,820 And then like paralyzed, vegetable, 419 00:22:22,820 --> 00:22:24,483 breathing tube, feeding tube. 420 00:22:25,390 --> 00:22:27,480 And I'm like, you're joking me. 421 00:22:27,480 --> 00:22:32,480 An hour ago, you know, I was okay, I thought I had sciatica, 422 00:22:32,960 --> 00:22:35,273 and now you're telling me like this is it? 423 00:22:36,570 --> 00:22:40,123 So does it feel for you like you have ALS too? 424 00:22:41,507 --> 00:22:43,880 Definitely, I mean definitely. 425 00:22:43,880 --> 00:22:45,930 You have it more than I do. 426 00:22:45,930 --> 00:22:48,020 Well, I have it differently, I mean, 427 00:22:48,020 --> 00:22:48,900 you know, because You're more affected. 428 00:22:48,900 --> 00:22:50,830 it affects you emotionally, 429 00:22:50,830 --> 00:22:52,823 it affects you financially, it affects, 430 00:22:53,870 --> 00:22:55,700 I mean, everything, you know, everything. 431 00:22:55,700 --> 00:22:59,375 So I mean, changes everything. 432 00:22:59,375 --> 00:23:00,896 I mean, there's no going back. 433 00:23:00,896 --> 00:23:04,570 It's not like someone comes and rips your face off. 434 00:23:04,570 --> 00:23:07,790 Like you lose everything slowly. 435 00:23:07,790 --> 00:23:10,150 So nothing is a shock. 436 00:23:10,150 --> 00:23:12,300 I mean, in the beginning, fairly quickly, 437 00:23:13,340 --> 00:23:14,310 there were a slow process, 438 00:23:14,310 --> 00:23:18,800 but fairly quickly you lost the ability to walk. 439 00:23:18,800 --> 00:23:21,360 So it's not like a shock. No. 440 00:23:21,360 --> 00:23:25,500 But it's horrible, but it's a slow horrible. 441 00:23:25,500 --> 00:23:28,840 So nothing like, like I feel for people 442 00:23:28,840 --> 00:23:33,130 who have like cancer, like they're physically sick. 443 00:23:33,130 --> 00:23:36,120 I don't feel sick ever, you know. 444 00:23:36,120 --> 00:23:41,120 Like I feel great, I just can't move my body. 445 00:23:41,480 --> 00:23:45,830 My brain is perfect, and luckily I can still move my head. 446 00:23:45,830 --> 00:23:49,130 And I can feel everything, but I don't feel sick. 447 00:23:49,130 --> 00:23:51,690 I've never been sick since I've had ALS, 448 00:23:51,690 --> 00:23:53,940 never even had a cold, this was it. 449 00:23:53,940 --> 00:23:56,450 Funny you are saying that, I've never been sick since I. 450 00:23:56,450 --> 00:23:57,283 Right. 451 00:23:57,283 --> 00:23:58,116 Isn't it funny? Yeah. 452 00:23:58,116 --> 00:24:01,480 It's so true, though, that was the first time I was sick. 453 00:24:01,480 --> 00:24:03,510 What do you feel like when I'm joking about it? 454 00:24:03,510 --> 00:24:05,970 I love it, I love all that. 455 00:24:05,970 --> 00:24:08,100 All my friends know that, like, 456 00:24:08,100 --> 00:24:11,178 we are gonna joke about this until like the day I die. 457 00:24:11,178 --> 00:24:13,530 (gentle ambient music) 458 00:24:13,530 --> 00:24:14,820 Back in Jackson, 459 00:24:14,820 --> 00:24:17,053 Paul's work goes into high gear. 460 00:24:18,060 --> 00:24:20,010 What we really do in this little cabin 461 00:24:20,010 --> 00:24:23,053 in the middle of this rural part of Wyoming is produce hope. 462 00:24:24,470 --> 00:24:27,920 Every morning we wake up, walk into this building, 463 00:24:27,920 --> 00:24:31,116 in this cabin, thinking about ALS. 464 00:24:31,116 --> 00:24:32,350 And the work that's come out of here 465 00:24:32,350 --> 00:24:33,550 has been pretty amazing. 466 00:24:34,930 --> 00:24:38,700 And ALS patients don't have time to sit around 467 00:24:38,700 --> 00:24:41,950 and wait for decades, for years. 468 00:24:41,950 --> 00:24:44,687 They are dying now, they need help now. 469 00:24:47,880 --> 00:24:49,200 We used to put pictures of the 470 00:24:49,200 --> 00:24:50,700 patients up in the laboratory. 471 00:24:52,748 --> 00:24:55,828 And the people I work with here are totally amazing people. 472 00:24:55,828 --> 00:24:57,010 (dramatic orchestral music) 473 00:24:57,010 --> 00:24:59,710 The two Jameses, Powell and Metcalf, 474 00:24:59,710 --> 00:25:02,190 and Sandra Banack, are part of his team. 475 00:25:02,190 --> 00:25:05,370 Dr. Sandra Banack gave up full lifetime tenure 476 00:25:05,370 --> 00:25:07,570 at California State University to come here. 477 00:25:11,660 --> 00:25:14,130 I was taking James Metcalf, 478 00:25:14,130 --> 00:25:16,810 we were out canoeing one afternoon. 479 00:25:16,810 --> 00:25:18,030 I said, would you like me to drop you 480 00:25:18,030 --> 00:25:18,863 back to your apartment? 481 00:25:18,863 --> 00:25:20,160 He said no, take me to the lab. 482 00:25:20,160 --> 00:25:21,040 I said, well, it's 10:00 p.m. 483 00:25:21,040 --> 00:25:23,763 He said, well, there's time to do one more experiment. 484 00:25:24,890 --> 00:25:28,193 And that's the, that's the mode of my colleagues here. 485 00:25:28,193 --> 00:25:30,930 It's like, do one more, go further, 486 00:25:30,930 --> 00:25:32,820 let's keep going further. 487 00:25:32,820 --> 00:25:37,100 What we've done is build a virtual pharmaceutical firm. 488 00:25:37,100 --> 00:25:38,240 I've gone around the world 489 00:25:38,240 --> 00:25:39,930 to the smartest people I could find. 490 00:25:39,930 --> 00:25:42,490 I've gone, I've said, you know, you're top of your field, 491 00:25:42,490 --> 00:25:45,030 you have won prizes, you've published books, 492 00:25:45,030 --> 00:25:47,670 published papers, please now stop, 493 00:25:47,670 --> 00:25:49,440 and help us with this problem. 494 00:25:49,440 --> 00:25:52,490 So far I haven't had a single person turn me down. 495 00:25:52,490 --> 00:25:54,860 What I really wanna do in this building 496 00:25:54,860 --> 00:25:58,990 is to bring together these 50 scientific minds, 497 00:25:58,990 --> 00:26:00,860 these geniuses from around the world, 498 00:26:00,860 --> 00:26:02,770 focus them on this problem, 499 00:26:02,770 --> 00:26:04,663 and then have drugs walk outta here 500 00:26:04,663 --> 00:26:09,120 that can help change the trajectory for ALS patients. 501 00:26:09,120 --> 00:26:10,670 When I took my PhD at Harvard 502 00:26:10,670 --> 00:26:13,360 I was criticized by my doctoral committee 503 00:26:13,360 --> 00:26:16,240 for being emotionally tied to my work. 504 00:26:16,240 --> 00:26:21,240 To me, the emotion for me, the compassion, the love, 505 00:26:21,270 --> 00:26:22,988 is what's driven this research. 506 00:26:22,988 --> 00:26:26,720 (ambient orchestral music) 507 00:26:26,720 --> 00:26:30,530 My hunt for the hidden killer has brought me to Ohio. 508 00:26:30,530 --> 00:26:33,823 I was not quite prepared for what I was about to see. 509 00:26:37,210 --> 00:26:40,590 Grand Lake St. Marys is like an open wound, 510 00:26:40,590 --> 00:26:44,713 infested and covered by slimy green cyanobacteria. 511 00:27:04,185 --> 00:27:05,018 Wow! 512 00:27:06,040 --> 00:27:09,290 This is kind of scary, in the middle of vacation season, 513 00:27:09,290 --> 00:27:10,993 the beach, not a single person. 514 00:27:30,450 --> 00:27:33,110 By scanning this sign here I can actually get 515 00:27:33,110 --> 00:27:35,500 the latest information about the situation in the lake, 516 00:27:35,500 --> 00:27:39,940 and it is scary reading about harmful algae blooms, 517 00:27:39,940 --> 00:27:42,197 and we know of course they are also cyanobacteria, 518 00:27:42,197 --> 00:27:45,070 and they tell me what to do and not to do in here. 519 00:27:45,070 --> 00:27:48,510 Stay out of the water, don't let the kids play 520 00:27:48,510 --> 00:27:52,210 with the debris and green stuff along the shoreline. 521 00:27:52,210 --> 00:27:54,560 Do not let pets drink the water. 522 00:27:54,560 --> 00:27:56,040 Don't cook with this water, 523 00:27:56,040 --> 00:27:58,740 and see a doctor if you think you or your kid 524 00:27:58,740 --> 00:28:00,993 has swallowed any of this lake water. 525 00:28:02,330 --> 00:28:06,179 But this is also the drinking water for thousands of people. 526 00:28:06,179 --> 00:28:09,012 (water whooshing) 527 00:28:17,130 --> 00:28:21,583 To eat fish out of this lake is probably a really bad idea. 528 00:28:23,410 --> 00:28:24,880 But this guy explains to me 529 00:28:24,880 --> 00:28:27,840 he is only using the catch as bait fish 530 00:28:27,840 --> 00:28:29,890 when fishing in other lakes. 531 00:28:29,890 --> 00:28:31,703 I hope he sticks to that story. 532 00:28:34,270 --> 00:28:36,260 Many thoughts flow through my head 533 00:28:36,260 --> 00:28:40,520 as the green water meanders through the Ohio landscape. 534 00:28:40,520 --> 00:28:42,130 They tell me the drinking water 535 00:28:42,130 --> 00:28:44,670 in the city of Celina is still safe, 536 00:28:44,670 --> 00:28:47,950 that the authorities are on top of the situation. 537 00:28:47,950 --> 00:28:49,080 But do they really know 538 00:28:49,080 --> 00:28:52,960 about the new toxin found, the BMAA? 539 00:28:52,960 --> 00:28:55,300 We begin with hundreds of thousands of people 540 00:28:55,300 --> 00:28:59,040 in Toledo, Ohio without water now for a second day. 541 00:28:59,040 --> 00:29:01,860 They're having to live without the most basic necessities, 542 00:29:01,860 --> 00:29:04,320 limited showers, no washing dishes. 543 00:29:04,320 --> 00:29:07,010 You can see right there, lines of people forming, 544 00:29:07,010 --> 00:29:08,580 waiting to get their hands on 545 00:29:08,580 --> 00:29:10,920 a limited supply of bottled water. 546 00:29:10,920 --> 00:29:12,150 The governor of Ohio 547 00:29:12,150 --> 00:29:14,770 and the mayor of Toledo saying new tests 548 00:29:14,770 --> 00:29:16,570 on the water show improvement, 549 00:29:16,570 --> 00:29:19,350 but they're not ready to lift the ban. 550 00:29:19,350 --> 00:29:22,270 Over decades, Lake Erie has been the poster child 551 00:29:22,270 --> 00:29:25,060 of troubled waters in the United States. 552 00:29:25,060 --> 00:29:27,250 Dave Spangler has spent a lifetime here 553 00:29:27,250 --> 00:29:29,370 taking tourists fishing. 554 00:29:29,370 --> 00:29:32,200 Today he brings me and scientist George Bullerjahn 555 00:29:32,200 --> 00:29:34,620 out on the lake, fishing for facts. 556 00:29:34,620 --> 00:29:36,200 We saw this coming. 557 00:29:36,200 --> 00:29:38,980 I'm not skeptical with a respect to BMAA 558 00:29:38,980 --> 00:29:43,050 as a neurotoxic compound, I'm completely on board with that. 559 00:29:43,050 --> 00:29:46,680 But is this a location where people are going to die of ALS 560 00:29:46,680 --> 00:29:48,560 as a consequence of living here 561 00:29:48,560 --> 00:29:50,010 and being exposed to these blooms? 562 00:29:50,010 --> 00:29:51,543 It's still an open question. 563 00:29:53,133 --> 00:29:55,000 Nearby, a reconnaissance flight 564 00:29:55,000 --> 00:29:57,220 from NASA's Glenn Research Station 565 00:29:57,220 --> 00:30:00,380 takes off to monitor the lake from above. 566 00:30:00,380 --> 00:30:02,313 The situation is alarming. 567 00:30:03,161 --> 00:30:07,680 Cyanobacterial blooms now seem to be a regular occurrence. 568 00:30:07,680 --> 00:30:10,383 The lake is like a green soup. 569 00:30:14,650 --> 00:30:17,720 From NASA's airplane they can see the boat, 570 00:30:17,720 --> 00:30:19,870 cutting through the cyanobacteria 571 00:30:19,870 --> 00:30:23,230 as it heads out to Toledo's water intake. 572 00:30:23,230 --> 00:30:25,640 And so, you know, you go through the denial, 573 00:30:25,640 --> 00:30:28,760 the shock, and then being upset. 574 00:30:28,760 --> 00:30:30,260 I'll grab a water sample 575 00:30:30,260 --> 00:30:32,473 so you can see what the algae look like. 576 00:30:41,040 --> 00:30:42,500 This is not the worst it could be, 577 00:30:42,500 --> 00:30:43,870 but it's bad enough, 578 00:30:43,870 --> 00:30:45,980 with colonies of cyanobacteria 579 00:30:45,980 --> 00:30:47,973 giving the lake a greenish hue. 580 00:30:51,368 --> 00:30:54,380 (whooshing) 581 00:30:54,380 --> 00:30:59,100 And what's happened today is that the wind action 582 00:30:59,100 --> 00:31:03,080 has dispersed the surface scum that these organisms form, 583 00:31:03,080 --> 00:31:05,840 but you can see that they form colonies. 584 00:31:05,840 --> 00:31:08,120 To the average person that comes out here, 585 00:31:08,120 --> 00:31:10,620 they may not ever realize what they're looking at. 586 00:31:11,520 --> 00:31:15,421 This whole situation continues to upset me. 587 00:31:15,421 --> 00:31:17,220 (dramatic electronic music) 588 00:31:17,220 --> 00:31:18,610 Monitoring from space, 589 00:31:18,610 --> 00:31:22,460 the extent of the cyanobacterial bloom is obvious. 590 00:31:22,460 --> 00:31:25,060 The blooms extend for weeks and months, 591 00:31:25,060 --> 00:31:27,110 and in the middle of the green goo, 592 00:31:27,110 --> 00:31:30,723 the city of Sandusky is taking its drinking water. 593 00:31:43,900 --> 00:31:46,170 Daily monitoring is a must, 594 00:31:46,170 --> 00:31:49,530 because this is the water they pump in from Lake Erie, 595 00:31:49,530 --> 00:31:51,963 filled with cyanobacteria. 596 00:31:53,930 --> 00:31:56,410 Before this can be consumed as drinking water 597 00:31:56,410 --> 00:31:58,983 fit for humans, a lot of work must be done. 598 00:32:02,170 --> 00:32:04,800 They keep a close eye on what's in the water, 599 00:32:04,800 --> 00:32:07,070 before and after treatment, 600 00:32:07,070 --> 00:32:09,973 to make sure they protect the citizens of Sandusky. 601 00:32:11,350 --> 00:32:12,570 A lot of them. 602 00:32:15,630 --> 00:32:16,900 These are alarm bells. 603 00:32:16,900 --> 00:32:20,400 Actually, the best identification is visual. 604 00:32:20,400 --> 00:32:22,880 If I can see it as it's coming into my plant, 605 00:32:22,880 --> 00:32:25,187 I know exactly what's coming in. 606 00:32:25,187 --> 00:32:27,200 Cyanotoxins and stuff shoot up, 607 00:32:27,200 --> 00:32:29,340 that kinda gives us an idea that something's coming in, 608 00:32:29,340 --> 00:32:31,750 and then once I visualize it and see it, 609 00:32:31,750 --> 00:32:33,420 I know what's here in the plant. 610 00:32:33,420 --> 00:32:35,570 Water's very safe, yeah. 611 00:32:35,570 --> 00:32:37,790 Last year at this time we had a lot coming in, 612 00:32:37,790 --> 00:32:42,790 we never got a detect in our drinking tap water. 613 00:32:43,150 --> 00:32:44,300 They know how to stop 614 00:32:44,300 --> 00:32:48,310 the cyanobacteria causing acute toxicity, 615 00:32:48,310 --> 00:32:50,320 but can their system protect people 616 00:32:50,320 --> 00:32:53,810 from the new piece of the puzzle, the BMAA, 617 00:32:53,810 --> 00:32:56,900 which is a substance they do not look for 618 00:32:56,900 --> 00:32:59,523 and do not have a capacity to test for? 619 00:33:00,642 --> 00:33:02,530 (light piano music) 620 00:33:02,530 --> 00:33:04,990 Up the coast in Ohio is Conneaut, 621 00:33:04,990 --> 00:33:08,483 a small town known for its fishing and inviting beaches. 622 00:33:09,323 --> 00:33:12,073 (waves crashing) 623 00:33:14,250 --> 00:33:17,000 But what was once a young kids' paradise 624 00:33:17,000 --> 00:33:20,033 has now turned into an adult man's hell. 625 00:33:21,220 --> 00:33:23,010 I meet with Mike Helfenstein, 626 00:33:23,010 --> 00:33:25,800 who has recently lost his wife to ALS. 627 00:33:25,800 --> 00:33:27,740 Now, when we went to school 628 00:33:27,740 --> 00:33:31,250 the environmental issues were never discussed. 629 00:33:31,250 --> 00:33:34,193 When we were out fishing, I mean, that's all we did. 630 00:33:35,380 --> 00:33:36,950 You thought of Lake Erie as being 631 00:33:36,950 --> 00:33:41,320 a very clean place to have fun. 632 00:33:41,320 --> 00:33:43,440 So there was never a thought, never a discussion, ever, 633 00:33:43,440 --> 00:33:47,883 there was never a discussion about the quality of water. 634 00:33:48,960 --> 00:33:53,110 Now that I look at water, whether it be the Lake Erie, 635 00:33:53,110 --> 00:33:55,890 whether it'd be the creek running into Lake Erie, 636 00:33:55,890 --> 00:33:58,380 I am suspect to all of those issues now. 637 00:33:58,380 --> 00:34:03,380 Now I look into the water to see if it's colored different. 638 00:34:03,620 --> 00:34:06,580 I start to process information different 639 00:34:06,580 --> 00:34:08,980 than I did prior to my wife's death. 640 00:34:08,980 --> 00:34:10,260 But you are pretty convinced 641 00:34:10,260 --> 00:34:13,620 that you have seen so many ALS cases here. 642 00:34:13,620 --> 00:34:16,683 So you think you have a cluster of those diseases here? 643 00:34:16,683 --> 00:34:19,400 It's my opinion based on what I've seen 644 00:34:19,400 --> 00:34:24,400 and that is there is a multitude of ALS cases 645 00:34:24,470 --> 00:34:27,780 which should not be on the radar of this community. 646 00:34:27,780 --> 00:34:30,960 We should have maybe one every five or six years, 647 00:34:30,960 --> 00:34:33,940 and WEA documented seven or eight 648 00:34:33,940 --> 00:34:37,193 just from one doctor in this town. 649 00:34:40,250 --> 00:34:43,700 His wife Benthina was a very active woman, 650 00:34:43,700 --> 00:34:47,060 running two restaurants at the time she got sick. 651 00:34:47,060 --> 00:34:49,810 She soon found herself in a wheelchair 652 00:34:49,810 --> 00:34:51,993 with rapidly declining health. 653 00:34:53,460 --> 00:34:55,710 Before she died she had a chance 654 00:34:55,710 --> 00:34:59,240 to welcome a grandkid and become a grandmother. 655 00:34:59,240 --> 00:35:02,403 Since childhood she was lovingly called Squeak. 656 00:35:08,935 --> 00:35:10,260 There's a lot of memories in here. 657 00:35:10,260 --> 00:35:13,023 Absolutely, this is my wife. 658 00:35:15,630 --> 00:35:20,330 So once you knew Squeak has ALS, your life changed? 659 00:35:20,330 --> 00:35:23,040 Completely, instantly, it literally took 660 00:35:23,040 --> 00:35:27,980 two years of tests to come up with the diagnosis. 661 00:35:27,980 --> 00:35:29,680 And then one year? 662 00:35:29,680 --> 00:35:30,870 It was over with. 663 00:35:30,870 --> 00:35:33,833 So when you realized she was diagnosed with ALS, 664 00:35:34,770 --> 00:35:38,370 you started to fight for a cause again, didn't you? 665 00:35:38,370 --> 00:35:40,560 Like you had done with MS before, 666 00:35:40,560 --> 00:35:44,490 but now it was part of your family's life. 667 00:35:44,490 --> 00:35:48,330 Yes, I was receiving phone calls of people that had ALS 668 00:35:48,330 --> 00:35:50,910 or family members who called me and said, 669 00:35:50,910 --> 00:35:55,850 my spouse, my mother, my father, whatever, has died. 670 00:35:55,850 --> 00:35:57,090 And were you surprised? 671 00:35:57,090 --> 00:35:58,240 Completely, I mean, 672 00:35:58,240 --> 00:36:01,690 I never heard the word in our community, ever. 673 00:36:01,690 --> 00:36:04,050 I mean, we definitely got the discussion going on 674 00:36:04,050 --> 00:36:06,170 here in Ashtabula County. 675 00:36:06,170 --> 00:36:08,883 People are talking about ALS today. 676 00:36:11,580 --> 00:36:12,930 Mike started a project 677 00:36:12,930 --> 00:36:15,360 to track ALS cases in Conneaut, 678 00:36:15,360 --> 00:36:17,700 not sure if life was better here. 679 00:36:17,700 --> 00:36:21,970 He named the project the Vincina Protocol after his wife. 680 00:36:21,970 --> 00:36:24,120 Soon he learned that many families 681 00:36:24,120 --> 00:36:26,933 in this quaint little town were struck by the disease. 682 00:36:30,000 --> 00:36:31,730 Now of course there's also this discussion 683 00:36:31,730 --> 00:36:34,110 with cyanobacteria in Lake Erie 684 00:36:34,980 --> 00:36:38,110 and other things in the water that also comes in here. 685 00:36:38,110 --> 00:36:41,710 And at this particular moment our health department 686 00:36:41,710 --> 00:36:45,043 does not want to talk about cyanobacteria. 687 00:36:46,000 --> 00:36:47,830 They don't believe it's an issue 688 00:36:47,830 --> 00:36:49,680 and they don't want to talk about it. 689 00:36:51,150 --> 00:36:52,180 It's not easy, is it, 690 00:36:52,180 --> 00:36:54,260 when you're looking for those answers? 691 00:36:54,260 --> 00:36:55,860 It's very frustrating, I mean, 692 00:36:55,860 --> 00:37:00,130 I did not understand the political domain, 693 00:37:00,130 --> 00:37:04,183 and how sensitive even our local politicians, 694 00:37:05,490 --> 00:37:09,440 even though they had nothing to do with the problem, 695 00:37:09,440 --> 00:37:12,090 it's almost as though they have been told 696 00:37:12,090 --> 00:37:15,253 that they cannot talk about this issue. 697 00:37:18,070 --> 00:37:19,440 The map Mike produced 698 00:37:19,440 --> 00:37:22,770 based on his own research is alarming. 699 00:37:22,770 --> 00:37:25,920 It is the first picture of what could be an ALS hotspot 700 00:37:25,920 --> 00:37:28,400 along the shores of Lake Erie. 701 00:37:28,400 --> 00:37:31,970 He's urging the scientists to complete what he has started. 702 00:37:31,970 --> 00:37:36,320 We believe today as just private citizens, 703 00:37:36,320 --> 00:37:37,870 everything that we're hearing. 704 00:37:37,870 --> 00:37:42,363 We have an issue in Lake Erie that's not being talked about. 705 00:37:44,000 --> 00:37:47,040 People are choking to death. 706 00:37:47,040 --> 00:37:49,050 It's a sad story, 707 00:37:49,050 --> 00:37:51,350 but they don't believe it's going to affect them, 708 00:37:51,350 --> 00:37:54,140 and they're basically correct. 709 00:37:54,140 --> 00:37:58,010 It's a small percentage of people that this is affecting, 710 00:37:58,010 --> 00:38:01,940 but it is affecting people, and that's what's important. 711 00:38:01,940 --> 00:38:04,240 And you don't know who it's gonna hit. 712 00:38:04,240 --> 00:38:07,313 It is definitely a flip of the coin. 713 00:38:14,680 --> 00:38:16,980 So the eating shouldn't be 714 00:38:16,980 --> 00:38:17,813 that much of a problem. Eating's not a problem, 715 00:38:17,813 --> 00:38:21,330 I do sometimes get something. 716 00:38:21,330 --> 00:38:23,640 It's a situation taken very seriously 717 00:38:23,640 --> 00:38:27,640 by specialist Erik Pioro at the Cleveland Clinic. 718 00:38:27,640 --> 00:38:30,030 He diagnosed Vincina's ALS 719 00:38:30,030 --> 00:38:32,900 and cared for her during her illness. 720 00:38:32,900 --> 00:38:35,030 Today he's seeing Nicole Crawford, 721 00:38:35,030 --> 00:38:37,590 one of many new ALS patients. 722 00:38:37,590 --> 00:38:38,840 Tap right here. 723 00:38:38,840 --> 00:38:39,730 He keeps an eye on 724 00:38:39,730 --> 00:38:44,040 the progression of the illness, offers comfort and support, 725 00:38:44,040 --> 00:38:47,593 but is unable to cure or halt the disease. 726 00:38:49,232 --> 00:38:52,149 (elevator dinging) 727 00:38:53,200 --> 00:38:55,480 I'm eager to meet Erik Pioro, 728 00:38:55,480 --> 00:38:58,750 a dedicated specialist who has started to ask questions 729 00:38:58,750 --> 00:39:00,940 and do research to find a reason 730 00:39:00,940 --> 00:39:04,800 behind what seems to be hotspots of ALS in Ohio 731 00:39:04,800 --> 00:39:06,343 and the region he serves. 732 00:39:07,210 --> 00:39:09,250 You are actually creating digital records 733 00:39:09,250 --> 00:39:11,160 of all your patients and all the information 734 00:39:11,160 --> 00:39:13,600 which could be really useful for you in this case. 735 00:39:13,600 --> 00:39:15,100 That's right, it is, 736 00:39:15,100 --> 00:39:17,130 because one of the things that we've been looking at, 737 00:39:17,130 --> 00:39:18,870 and I've been particularly interested in 738 00:39:18,870 --> 00:39:22,260 and seeing kind of a preponderance, if you will, 739 00:39:22,260 --> 00:39:24,300 of patients that may be coming from 740 00:39:24,300 --> 00:39:26,090 this northern, northwestern part 741 00:39:26,090 --> 00:39:27,750 of Ohio and surrounding states, 742 00:39:27,750 --> 00:39:29,630 kind of along the Great Lakes area. 743 00:39:29,630 --> 00:39:32,520 And not infrequently they'll be coming from these areas 744 00:39:32,520 --> 00:39:33,890 that I often wonder, you know, 745 00:39:33,890 --> 00:39:36,360 is there something that they may be exposed to 746 00:39:36,360 --> 00:39:37,193 in some of these regions. 747 00:39:37,193 --> 00:39:38,230 (dramatic music) 748 00:39:38,230 --> 00:39:39,780 Thanks to the digital records 749 00:39:39,780 --> 00:39:41,830 kept at the clinic, 750 00:39:41,830 --> 00:39:44,730 Erik and his team of scientists have now plotted 751 00:39:44,730 --> 00:39:48,163 more than a thousand ALS cases on the map. 752 00:39:49,440 --> 00:39:51,420 Mike's fear is confirmed, 753 00:39:51,420 --> 00:39:54,173 there are clear indications of hotspots. 754 00:39:57,000 --> 00:39:59,780 The scientists' work is preliminary, 755 00:39:59,780 --> 00:40:02,730 and funding is now needed to dig deeper. 756 00:40:02,730 --> 00:40:05,535 The alarm bell has definitely been rung. 757 00:40:05,535 --> 00:40:09,702 (moves into gentle ambient music) 758 00:40:13,110 --> 00:40:14,980 A lake in New Hampshire, U.S.A. 759 00:40:15,960 --> 00:40:18,940 The fog is not only beautiful, 760 00:40:18,940 --> 00:40:22,343 it also shrouds the next piece in the toxic puzzle. 761 00:40:25,490 --> 00:40:28,670 I wanted to understand why there might be 762 00:40:28,670 --> 00:40:31,790 a higher incidence of ALS around Lake Mascoma 763 00:40:31,790 --> 00:40:33,500 in Enfield, New Hampshire, 764 00:40:33,500 --> 00:40:36,480 and we didn't know really why we were seeing 765 00:40:36,480 --> 00:40:39,800 a grouping of patients around this lake. 766 00:40:39,800 --> 00:40:41,000 Three of those patients were 767 00:40:41,000 --> 00:40:45,223 over a six-month period in one year, they were diagnosed. 768 00:40:46,540 --> 00:40:51,540 So we went to limnologists, experts on water biology, 769 00:40:53,100 --> 00:40:56,110 and were told that, amongst other things, 770 00:40:56,110 --> 00:41:00,460 that Lake Mascoma had frequent sign of bacterial blooms. 771 00:41:00,460 --> 00:41:03,280 And then we went to the literature 772 00:41:03,280 --> 00:41:06,210 and looked and found 773 00:41:07,090 --> 00:41:09,980 that lo and behold cyanobacteria 774 00:41:09,980 --> 00:41:13,440 were a potential link to ALS in Guam, 775 00:41:13,440 --> 00:41:17,090 where there was a risk of, about 150-fold higher risk 776 00:41:17,090 --> 00:41:20,163 of developing ALS than the rest of the world. 777 00:41:21,100 --> 00:41:23,700 In Lake Mascoma it was 778 00:41:23,700 --> 00:41:26,880 about 25 to 40 times higher than expected. 779 00:41:26,880 --> 00:41:28,130 It's kind of alarming. 780 00:41:28,130 --> 00:41:31,530 We've since found about 11 clusters in northern New England. 781 00:41:31,530 --> 00:41:34,170 All of them have six or more cases. 782 00:41:34,170 --> 00:41:37,860 Almost all of those clusters are very close to water bodies 783 00:41:37,860 --> 00:41:40,420 that have had sign of bacterial blooms. 784 00:41:40,420 --> 00:41:44,250 So you can imagine if you're living on a lake 785 00:41:44,250 --> 00:41:48,960 that has a frequent annual sign of bacterial blooms, 786 00:41:48,960 --> 00:41:53,420 you might easily be exposed on a chronic basis 787 00:41:53,420 --> 00:41:55,923 to microorganisms that are in the air. 788 00:41:57,890 --> 00:42:01,000 I decide to visit with Dr. Stommel's team 789 00:42:01,000 --> 00:42:02,303 working at the lake. 790 00:42:04,652 --> 00:42:09,350 Alexander Beltil and Patricia Hennigan samples the lakes. 791 00:42:09,350 --> 00:42:10,350 What we're trying to do 792 00:42:10,350 --> 00:42:12,310 is see how much people are actually breathing in 793 00:42:12,310 --> 00:42:14,210 and what people's exposures are. 794 00:42:14,210 --> 00:42:16,340 So if we take this into consideration 795 00:42:16,340 --> 00:42:18,360 in the lung capacity of a person, 796 00:42:18,360 --> 00:42:19,660 we can actually figure out, 797 00:42:19,660 --> 00:42:22,630 depending on which water body and what day, 798 00:42:22,630 --> 00:42:24,280 how much people are breathing in. 799 00:42:26,202 --> 00:42:29,262 (metal clanging) 800 00:42:29,262 --> 00:42:30,860 See where it sits first. 801 00:42:30,860 --> 00:42:31,999 Okay. 802 00:42:31,999 --> 00:42:34,190 'Cause I don't remember how far. 803 00:42:34,190 --> 00:42:35,180 That's just about right, I'll bet. 804 00:42:35,180 --> 00:42:36,880 It's a revolutionary approach 805 00:42:36,880 --> 00:42:41,133 measuring cyanobacteria in the air rather than in the water. 806 00:42:43,170 --> 00:42:45,040 And we've looked at a few lung samples, 807 00:42:45,040 --> 00:42:46,850 including an ALS patient, 808 00:42:46,850 --> 00:42:48,573 and he lived along the shore here. 809 00:42:50,550 --> 00:42:53,350 And unfortunately he had a very aggressive form of ALS 810 00:42:53,350 --> 00:42:57,840 and didn't live long, but he died during a bloom, 811 00:42:57,840 --> 00:43:00,320 and we did get an autopsy. 812 00:43:00,320 --> 00:43:05,090 And we were able to find some cyanobacteria in his lungs. 813 00:43:05,090 --> 00:43:08,870 It's certainly worrisome that you're finding 814 00:43:08,870 --> 00:43:13,600 these potentially toxic microorganisms in the lungs, 815 00:43:13,600 --> 00:43:16,230 but if you have an active bloom I would be concerned 816 00:43:16,230 --> 00:43:17,690 that it might be a possible 817 00:43:17,690 --> 00:43:20,493 risk factor for neuro-degeneration. 818 00:43:20,493 --> 00:43:21,610 (dramatic music) 819 00:43:21,610 --> 00:43:23,173 The satellites also monitor 820 00:43:23,173 --> 00:43:25,560 the situation in the Baltic Sea. 821 00:43:25,560 --> 00:43:28,530 Cyanobacterial blooms are severe, 822 00:43:28,530 --> 00:43:31,010 and paint an almost Van Gogh-like image 823 00:43:31,010 --> 00:43:33,270 near the Swedish island of Gotland. 824 00:43:33,270 --> 00:43:36,490 Pollution from nine countries feeds the blooms 825 00:43:36,490 --> 00:43:38,003 that spread with the currents. 826 00:43:40,400 --> 00:43:42,440 It's at least as bad as in the U.S.A. 827 00:43:43,620 --> 00:43:46,380 But people seem to enjoy their short summer, 828 00:43:46,380 --> 00:43:49,993 unaware of the acute dangers, or don't they care? 829 00:43:55,800 --> 00:43:58,070 Scientists, however, have long been aware 830 00:43:58,070 --> 00:44:01,081 of the accelerating situation in the Baltic. 831 00:44:01,081 --> 00:44:05,170 (speaking in foreign language) 832 00:44:05,170 --> 00:44:06,730 Paul Cox is visiting, 833 00:44:06,730 --> 00:44:09,600 searching for more pieces to the toxic puzzle. 834 00:44:09,600 --> 00:44:11,453 Oh, now we're going down. Okay. 835 00:44:12,720 --> 00:44:13,840 The plankton net is lowered 836 00:44:13,840 --> 00:44:16,800 through the soup of cyanobacteria. 837 00:44:16,800 --> 00:44:19,623 Do you think there is a bloom down here but lower? 838 00:44:19,623 --> 00:44:21,725 I think they are sort of quite dispersed 839 00:44:21,725 --> 00:44:23,420 through the water column like this. 840 00:44:23,420 --> 00:44:25,340 So there's not a single layer 841 00:44:25,340 --> 00:44:26,799 like that. Sometimes there can be 842 00:44:26,799 --> 00:44:28,700 quite a layer. Oh, look, we have a lot more 843 00:44:28,700 --> 00:44:29,937 here than that. 844 00:44:32,407 --> 00:44:37,407 (speaking in foreign language) (laughing) 845 00:44:38,810 --> 00:44:40,750 Brigitta Bergman and Sara Reedberg 846 00:44:40,750 --> 00:44:43,310 are not surprised when they see the result. 847 00:44:43,310 --> 00:44:45,160 They've seen this for years. 848 00:44:45,160 --> 00:44:47,313 But for Paul Cox this is worrying. 849 00:44:48,600 --> 00:44:50,470 Wow! (laughs) That's bigger. 850 00:44:50,470 --> 00:44:52,740 This is Baltic cyanobacteria, 851 00:44:52,740 --> 00:44:55,000 and I think what really amazes me 852 00:44:55,000 --> 00:44:56,280 is that the boat hasn't moved. 853 00:44:56,280 --> 00:44:59,270 We just put this down 10 meters, pulled it up, 854 00:44:59,270 --> 00:45:00,640 and we have the equivalent of, 855 00:45:00,640 --> 00:45:04,570 I would call it Baltic pea soup, is that fair? 856 00:45:04,570 --> 00:45:06,763 Three species of cyanobacteria here. 857 00:45:06,763 --> 00:45:10,096 (ominous ambient music) 858 00:45:12,530 --> 00:45:15,990 Back at Stockholm University's Baltic Sea lab, 859 00:45:15,990 --> 00:45:17,870 Paul voices his concerns. 860 00:45:17,870 --> 00:45:19,850 So here's the big question, Brigitta, 861 00:45:19,850 --> 00:45:22,680 the Karolinska Institute shows that ALS 862 00:45:22,680 --> 00:45:24,640 is actually increasing in Sweden. 863 00:45:24,640 --> 00:45:27,030 So the question is, is it increasing 864 00:45:27,030 --> 00:45:28,970 because there's more exposure to cyanobacteria? 865 00:45:28,970 --> 00:45:30,720 Well, that's a very good question, 866 00:45:30,720 --> 00:45:35,170 and yes, there is a risk that increase in blooms 867 00:45:35,170 --> 00:45:37,260 will cause an increase in ALS. 868 00:45:37,260 --> 00:45:41,360 And then you also have the risk of water, 869 00:45:41,360 --> 00:45:45,673 drinking water reservoirs may be affected by BMAA too. 870 00:45:47,336 --> 00:45:49,330 And we have a huge number of lakes in Sweden 871 00:45:49,330 --> 00:45:52,600 that have blooms of cyanobacteria as well 872 00:45:52,600 --> 00:45:54,999 and have fishes and so on. 873 00:45:54,999 --> 00:45:58,340 So, yeah, there is definitely a possibility 874 00:45:58,340 --> 00:46:01,610 that there is a connection between these two phenomena, 875 00:46:01,610 --> 00:46:03,460 bigger blooms, more ALS. More ALS. 876 00:46:05,710 --> 00:46:07,850 Like he does wherever he travels, 877 00:46:07,850 --> 00:46:10,680 Paul collects material for analysis, 878 00:46:10,680 --> 00:46:14,440 and he soon learns that the level of toxic BMAA 879 00:46:14,440 --> 00:46:16,950 in this sample is very high. 880 00:46:16,950 --> 00:46:20,817 The cyanobacteria release BMAA 881 00:46:21,760 --> 00:46:23,090 and then they all die. 882 00:46:23,090 --> 00:46:25,200 It's sort of like mass suicide. 883 00:46:25,200 --> 00:46:26,830 They washed up along the beach here, 884 00:46:26,830 --> 00:46:29,180 they're dry, so it's dried up here, 885 00:46:29,180 --> 00:46:31,740 but still we see some potential 886 00:46:31,740 --> 00:46:35,110 for green life here underneath. 887 00:46:35,110 --> 00:46:36,870 Perhaps at the low level 888 00:46:36,870 --> 00:46:39,460 the BMAAs produced in the cyanobacteria 889 00:46:39,460 --> 00:46:40,860 doesn't make that big a threat, 890 00:46:40,860 --> 00:46:45,730 but if it starts accumulating in fish and we eat the fish 891 00:46:45,730 --> 00:46:47,250 then it's a big problem. 892 00:46:47,250 --> 00:46:49,790 But what is it that we can learn from the scientists here 893 00:46:49,790 --> 00:46:51,760 that you haven't seen in other parts of the world? 894 00:46:51,760 --> 00:46:55,730 Or how do these things connect to what you have seen? 895 00:46:55,730 --> 00:46:56,930 What the scientists are bringing here 896 00:46:56,930 --> 00:46:58,340 to the table in the Baltic 897 00:46:58,340 --> 00:47:01,210 is putting the ecosystem together, 898 00:47:01,210 --> 00:47:03,030 from cyanobacteria to zooplankton 899 00:47:03,030 --> 00:47:06,510 to small fish to bigger fish, bottom-dwelling fish, 900 00:47:06,510 --> 00:47:10,970 and we have here a clear exposure of BMAA for human beings. 901 00:47:10,970 --> 00:47:12,920 No place is spared. 902 00:47:12,920 --> 00:47:15,010 In Australia, the local radio 903 00:47:15,010 --> 00:47:17,723 transmits stern warnings from the government. 904 00:47:19,210 --> 00:47:20,520 It's 19 past nine. 905 00:47:20,520 --> 00:47:22,697 Many of our region's popular river destinations 906 00:47:22,697 --> 00:47:25,990 are now affected by the blue-green algae outbreak 907 00:47:25,990 --> 00:47:27,760 which stretches hundreds of kilometers 908 00:47:27,760 --> 00:47:29,450 along the Murray River. 909 00:47:29,450 --> 00:47:30,290 And we're hearing reports 910 00:47:30,290 --> 00:47:31,850 that some people are ignoring the advice 911 00:47:31,850 --> 00:47:35,090 to keep clear of the potentially toxic water, 912 00:47:35,090 --> 00:47:38,300 and wakeboarding and water skiing anyway. 913 00:47:38,300 --> 00:47:41,593 If you're thinking about doing the same thing, think again. 914 00:47:42,470 --> 00:47:44,560 Rachel Dunlop has been researching the links 915 00:47:44,560 --> 00:47:47,950 between blue-green algae toxins and illnesses 916 00:47:47,950 --> 00:47:50,303 like Alzheimer's and motor neurone disease. 917 00:47:52,290 --> 00:47:54,610 So I was concerned to see that people didn't seem 918 00:47:54,610 --> 00:47:57,210 to either understand the potential toxicity 919 00:47:57,210 --> 00:48:00,553 of something like this or they just ignored the warnings. 920 00:48:01,770 --> 00:48:05,320 And indeed some people even swim in algal infested waters 921 00:48:05,320 --> 00:48:07,570 because they're not aware it might be a risk. 922 00:48:08,670 --> 00:48:11,070 Toxic blooms are everywhere, 923 00:48:11,070 --> 00:48:14,643 and irrigation canals distribute the water to many fields. 924 00:48:16,020 --> 00:48:20,150 And in addition to the fact that BMAA is found in seafood, 925 00:48:20,150 --> 00:48:22,570 it can also be found in things like wheat. 926 00:48:22,570 --> 00:48:26,040 And this was revealed in a report published last year 927 00:48:26,040 --> 00:48:30,070 showing that if you watered wheat with irrigation water 928 00:48:30,070 --> 00:48:32,210 that is contaminated with this toxin, 929 00:48:32,210 --> 00:48:35,530 it can actually get stuck into the proteins at the weight, 930 00:48:35,530 --> 00:48:37,770 so then that can get into the food chain 931 00:48:37,770 --> 00:48:40,170 and that's where you can become exposed to BMAA. 932 00:48:45,020 --> 00:48:48,290 Now in Australia, we're currently investigating what appears 933 00:48:48,290 --> 00:48:52,130 to be a hotspot or a cluster of motor neuron disease 934 00:48:52,130 --> 00:48:53,900 in the areas in New South Wales 935 00:48:53,900 --> 00:48:57,010 that include Griffith and Leeton in Riverina region. 936 00:48:57,010 --> 00:48:59,160 And this is where a lot of crops are growing, 937 00:48:59,160 --> 00:49:01,330 a lot of crops are irrigated from rivers, 938 00:49:01,330 --> 00:49:03,410 and so this might be an area where people 939 00:49:03,410 --> 00:49:05,783 are getting exposed to this algal toxin. 940 00:49:08,630 --> 00:49:11,580 We should be cautious about alerting people 941 00:49:11,580 --> 00:49:13,580 to the issue of blue-green algal blooms 942 00:49:13,580 --> 00:49:17,300 because BMAA is not always present in algal blooms, 943 00:49:17,300 --> 00:49:19,640 it depends on the conditions. 944 00:49:19,640 --> 00:49:22,340 Obviously, not everyone who's exposed 945 00:49:22,340 --> 00:49:24,800 to this toxin is going to get motor neuron disease, 946 00:49:24,800 --> 00:49:25,970 otherwise we'd all have it, 947 00:49:25,970 --> 00:49:29,410 since the toxin is almost everywhere in this country. 948 00:49:29,410 --> 00:49:33,700 So clearly people need other forms of susceptibility 949 00:49:33,700 --> 00:49:35,850 in order to contract ALS. 950 00:49:35,850 --> 00:49:38,090 So probably a genetic susceptibility, 951 00:49:38,090 --> 00:49:40,930 and other susceptibilities that we don't know about yet. 952 00:49:40,930 --> 00:49:44,460 So we don't want to be scaremongering about this, 953 00:49:44,460 --> 00:49:46,660 we just want people to be aware that this is an issue 954 00:49:46,660 --> 00:49:49,593 so they can reduce their risk as much as possible. 955 00:49:49,593 --> 00:49:54,593 (waterfall splashing) (gentle music) 956 00:49:54,600 --> 00:49:56,053 Okinawa, Japan. 957 00:50:00,860 --> 00:50:02,060 It really hit me outta the blue 958 00:50:02,060 --> 00:50:03,530 'cause I had gone to all the villages 959 00:50:03,530 --> 00:50:06,650 where there's a very high rate of ALS and Alzheimer's. 960 00:50:06,650 --> 00:50:08,260 One day I thought, why don't I find villages 961 00:50:08,260 --> 00:50:10,550 where there's no record of the disease. 962 00:50:10,550 --> 00:50:12,360 So I thought I'd search here, 963 00:50:12,360 --> 00:50:16,490 because if the people are 100, 105, 104 years old, 964 00:50:16,490 --> 00:50:18,010 then they still may have some sort 965 00:50:18,010 --> 00:50:19,970 of intact neurological system. 966 00:50:19,970 --> 00:50:22,670 I knew when I came here that they were old. 967 00:50:22,670 --> 00:50:24,970 What I didn't realize before I came here 968 00:50:24,970 --> 00:50:27,630 was that they have total recall of their lives, 969 00:50:27,630 --> 00:50:29,120 they move like ballerinas, 970 00:50:29,120 --> 00:50:30,693 they have this fluidity of motion. 971 00:50:30,693 --> 00:50:34,610 (speaking in foreign language) 972 00:50:44,600 --> 00:50:47,723 The serenity of the Ogimi village is striking. 973 00:50:48,760 --> 00:50:52,693 The aging population tends to its gardens and orchards. 974 00:50:53,570 --> 00:50:56,480 Plants are harvested for taste, of course, 975 00:50:56,480 --> 00:51:00,663 but at the same time they create an unusually healthy diet. 976 00:51:07,450 --> 00:51:09,210 Even if Paul finds interesting 977 00:51:09,210 --> 00:51:11,710 answers among the local farmers, 978 00:51:11,710 --> 00:51:14,200 it's in a kitchen and local restaurant 979 00:51:14,200 --> 00:51:17,260 this ethnobotanist feels right at home. 980 00:51:17,260 --> 00:51:20,040 To see how people use plants in their cooking 981 00:51:20,040 --> 00:51:23,423 is exactly how ethnobotanists seek their answers. 982 00:51:29,010 --> 00:51:32,870 He analyzes complete dinners, weighs the ingredients, 983 00:51:32,870 --> 00:51:34,860 and in the lab back home, 984 00:51:34,860 --> 00:51:37,960 he looks for interesting substances. 985 00:51:37,960 --> 00:51:40,240 It's all about connecting the dots, 986 00:51:40,240 --> 00:51:42,694 laying the puzzle pieces out. 987 00:51:42,694 --> 00:51:46,027 (soft orchestral music) 988 00:51:58,960 --> 00:52:02,910 Well, I'm watching a 97 year old woman, Tyra Sumiko, 989 00:52:02,910 --> 00:52:05,740 who is collecting seaweeds on the beach. 990 00:52:05,740 --> 00:52:09,100 She comes out every day to collect them, dries them, 991 00:52:09,100 --> 00:52:11,450 and then uses them in her cooking and her diet. 992 00:52:13,050 --> 00:52:14,420 As astonished as an ethnobotanist, 993 00:52:14,420 --> 00:52:18,350 see they're using all these different species of seaweeds. 994 00:52:18,350 --> 00:52:19,810 They're getting their major caloric 995 00:52:19,810 --> 00:52:23,030 content from tofu, not rice. 996 00:52:23,030 --> 00:52:25,150 I just saw a lot of differences between this culture 997 00:52:25,150 --> 00:52:27,860 and the rest of Japan that really struck me. 998 00:52:27,860 --> 00:52:29,440 I tried to figure out what are the most 999 00:52:29,440 --> 00:52:31,480 frequent parts of their diet, 1000 00:52:31,480 --> 00:52:33,500 what do they eat the most frequently, 1001 00:52:33,500 --> 00:52:35,190 and then about this time we started 1002 00:52:35,190 --> 00:52:36,850 having our laboratory work showing 1003 00:52:36,850 --> 00:52:39,260 that L-serine plays an important role. 1004 00:52:39,260 --> 00:52:43,060 So I took their diet back to the Jackson Hole laboratories, 1005 00:52:43,060 --> 00:52:45,140 screened it for L-serine, and we were blown away. 1006 00:52:45,140 --> 00:52:48,090 It was off the charts in terms of L-serine. 1007 00:52:48,090 --> 00:52:52,180 (speaking in foreign language) 1008 00:52:52,180 --> 00:52:53,970 These people are eating a remarkably 1009 00:52:53,970 --> 00:52:57,003 loaded diet in the amino acid L-serine. 1010 00:53:00,690 --> 00:53:02,570 After many trips to Okinawa, 1011 00:53:02,570 --> 00:53:04,710 Paul asked me to join him there. 1012 00:53:04,710 --> 00:53:07,040 He believes he has found a vital piece 1013 00:53:07,040 --> 00:53:10,190 of his puzzle in this small village. 1014 00:53:10,190 --> 00:53:11,540 I guess barely subtropic. 1015 00:53:15,500 --> 00:53:18,080 If the substance L-serine in their diet 1016 00:53:18,080 --> 00:53:20,993 really counteracts the toxic BMAA, 1017 00:53:20,993 --> 00:53:24,093 then the local food market will add to the story. 1018 00:53:33,520 --> 00:53:36,770 Yeah, so people stop here in this little market. 1019 00:53:36,770 --> 00:53:38,270 They come up to Ogimi. 1020 00:53:38,270 --> 00:53:40,580 It's just filled with all these amazing things in here, 1021 00:53:40,580 --> 00:53:42,850 you know, that the local people eat, 1022 00:53:42,850 --> 00:53:46,050 for example, this is called kombu. 1023 00:53:46,050 --> 00:53:47,640 This comes clear from Hokkaido, 1024 00:53:47,640 --> 00:53:50,470 maybe 1,200 kilometers to the north, 1025 00:53:50,470 --> 00:53:51,890 and they've had a historical 1026 00:53:53,240 --> 00:53:56,480 trade with Hokkaido on this. 1027 00:53:56,480 --> 00:53:59,410 But it's used in a lot of their festivals, 1028 00:53:59,410 --> 00:54:03,060 a lot of their special feasts. 1029 00:54:03,060 --> 00:54:06,610 This is extremely rich in L-serine. 1030 00:54:06,610 --> 00:54:07,870 It is? Oh, yeah. 1031 00:54:07,870 --> 00:54:08,853 Let's buy that one. 1032 00:54:10,490 --> 00:54:12,640 There's a lot you can buy here, isn't it? 1033 00:54:19,000 --> 00:54:21,210 So these are sweet potatoes. 1034 00:54:21,210 --> 00:54:23,880 They call 'em in their language beni imo. 1035 00:54:23,880 --> 00:54:25,910 Again, extremely high in L-serine. 1036 00:54:25,910 --> 00:54:27,310 But is it the same sweet potato 1037 00:54:27,310 --> 00:54:29,620 that you can find in North America or? 1038 00:54:29,620 --> 00:54:30,950 It's a different sort of type, 1039 00:54:30,950 --> 00:54:33,400 but we've tested the ones in North America, 1040 00:54:33,400 --> 00:54:35,710 has enough serine in it that from now on, 1041 00:54:35,710 --> 00:54:37,200 when I'm ordering the hamburger 1042 00:54:37,200 --> 00:54:39,303 I have asked for sweet potato fries. 1043 00:54:40,220 --> 00:54:42,970 But for them, they don't pick and eat 1044 00:54:42,970 --> 00:54:44,790 those things because they know that, 1045 00:54:44,790 --> 00:54:45,630 they just happen 1046 00:54:45,630 --> 00:54:46,463 to be part of their diet. No, they just happen 1047 00:54:46,463 --> 00:54:47,660 to have this diet. 1048 00:54:47,660 --> 00:54:49,660 They don't know anything about L-serine. 1049 00:54:50,710 --> 00:54:52,420 So basically we're looking here, 1050 00:54:52,420 --> 00:54:55,960 it looks like I guess like an agricultural market, 1051 00:54:55,960 --> 00:54:58,753 what I see here is a pharmacy of neuro protection. 1052 00:54:59,760 --> 00:55:00,593 Amazing. 1053 00:55:03,560 --> 00:55:05,920 You know, we have cellular culture. 1054 00:55:05,920 --> 00:55:10,220 We have fruit flies and now other laboratory animals, 1055 00:55:10,220 --> 00:55:12,970 but to see something happening in people 1056 00:55:12,970 --> 00:55:15,210 really made me a believer. 1057 00:55:15,210 --> 00:55:18,080 These people have taught me that you can live a full life, 1058 00:55:18,080 --> 00:55:20,840 100 years, 110 years, some of them, 1059 00:55:20,840 --> 00:55:23,470 and have complete access to all your memories, 1060 00:55:23,470 --> 00:55:25,720 to be able to make short-term memories, 1061 00:55:25,720 --> 00:55:30,189 to move like a ballerina, and it's incredible visiting them. 1062 00:55:30,189 --> 00:55:34,106 (speaking in foreign language) 1063 00:55:53,752 --> 00:55:55,686 They're beatin' me. 1064 00:55:55,686 --> 00:55:58,724 They're a lot better than I am at this. 1065 00:55:58,724 --> 00:56:00,434 They're all laughing at me. 1066 00:56:00,434 --> 00:56:04,351 (speaking in foreign language) 1067 00:56:11,370 --> 00:56:14,200 L-serine ties all this together. 1068 00:56:14,200 --> 00:56:17,570 And I think that within 10 or 20 years' time 1069 00:56:17,570 --> 00:56:18,990 people will be taking much, 1070 00:56:18,990 --> 00:56:21,233 much more L-serine than they are today. 1071 00:56:22,406 --> 00:56:25,656 (gentle ambient music) 1072 00:56:35,178 --> 00:56:38,040 In Paris, Victor goes through a daily routine 1073 00:56:38,040 --> 00:56:41,950 in mixing L-serine powder with fruit for Ellie. 1074 00:56:41,950 --> 00:56:45,290 L-serine is not a medicine from the pharmacy, 1075 00:56:45,290 --> 00:56:48,163 but a food supplement bought on the Internet. 1076 00:56:49,370 --> 00:56:53,473 Ellie is sure this is a matter of life or death for her. 1077 00:56:54,724 --> 00:56:56,315 Thank you. 1078 00:56:56,315 --> 00:56:57,648 All good. Okay. 1079 00:57:00,550 --> 00:57:03,000 I always felt like the cure for ALS 1080 00:57:03,000 --> 00:57:04,930 is gonna come out of left field. 1081 00:57:04,930 --> 00:57:07,260 Because the regular doctors have had 1082 00:57:07,260 --> 00:57:09,677 since the 1800s to try to figure this out, 1083 00:57:09,677 --> 00:57:11,597 and they just can't figure it out. 1084 00:57:11,597 --> 00:57:14,230 And I also think that nature 1085 00:57:16,110 --> 00:57:17,780 can cause disease, 1086 00:57:17,780 --> 00:57:20,883 but there's also a cure in nature somewhere. 1087 00:57:23,170 --> 00:57:24,060 Hello, there. 1088 00:57:24,060 --> 00:57:25,420 Bonjour, bonjour. 1089 00:57:25,420 --> 00:57:27,930 I'm Paul Cox here to see Ellie, is that okay? 1090 00:57:27,930 --> 00:57:30,424 It's okay. Thank you, thank you. 1091 00:57:30,424 --> 00:57:31,257 Nice to see you. 1092 00:57:31,257 --> 00:57:32,320 Pleasure to see you, yeah. 1093 00:57:35,510 --> 00:57:36,373 Mister Cox! 1094 00:57:37,541 --> 00:57:39,072 Hey! Oh, my 1095 00:57:39,072 --> 00:57:40,250 god! Nice to see you, Ellie. 1096 00:57:40,250 --> 00:57:41,820 My hero has arrived! 1097 00:57:41,820 --> 00:57:42,827 Nice to see you. 1098 00:57:42,827 --> 00:57:46,390 The first time I ever was introduced to Paul Cox, 1099 00:57:46,390 --> 00:57:49,380 my thoughts were, I'm already so far gone, 1100 00:57:49,380 --> 00:57:51,030 what can it hurt? 1101 00:57:51,030 --> 00:57:53,680 Why not look for outside resources? 1102 00:57:53,680 --> 00:57:55,290 Well, when you're this sick, 1103 00:57:55,290 --> 00:57:57,530 there is never too much hope. 1104 00:57:57,530 --> 00:57:58,787 Briefly tell me what your experience 1105 00:57:58,787 --> 00:58:00,535 has been with L-serine. 1106 00:58:00,535 --> 00:58:01,900 In the beginning I had to have 1107 00:58:01,900 --> 00:58:04,860 my breathing machine 24 hours a day, 1108 00:58:04,860 --> 00:58:08,130 could not even take it off barely to blow my nose. 1109 00:58:08,130 --> 00:58:11,260 I would gasp, gasp for breath. 1110 00:58:11,260 --> 00:58:12,093 It was horrible. 1111 00:58:12,093 --> 00:58:15,450 Within, I think I started it in June, 1112 00:58:15,450 --> 00:58:20,450 by July I could sit a whole day without it. 1113 00:58:20,511 --> 00:58:21,830 Oh, really? I was breathing, 1114 00:58:21,830 --> 00:58:26,830 like none of this, just breathing like it was a miracle. 1115 00:58:28,230 --> 00:58:30,428 At this point, Ellie, unfortunately, 1116 00:58:30,428 --> 00:58:32,180 I don't think we can reverse it, 1117 00:58:32,180 --> 00:58:34,280 someday somebody will, God willing, right, 1118 00:58:35,630 --> 00:58:37,080 but then what you're teaching me 1119 00:58:37,080 --> 00:58:38,560 is that you've expressed there 1120 00:58:38,560 --> 00:58:39,830 was some regain in functionality. 1121 00:58:39,830 --> 00:58:41,920 Absolutely, with my breathing. 1122 00:58:41,920 --> 00:58:44,080 With your breathing, you can breathe stronger. 1123 00:58:44,080 --> 00:58:44,913 Totally. 1124 00:58:44,913 --> 00:58:45,746 Totally, okay. 1125 00:58:45,746 --> 00:58:46,579 I mean, like, 1126 00:58:47,560 --> 00:58:51,399 but also just like a overall feeling of goodness. 1127 00:58:51,399 --> 00:58:53,300 (chuckles) That's great! Strength, like, 1128 00:58:53,300 --> 00:58:55,560 I feel like I have inner strength. 1129 00:58:55,560 --> 00:58:57,410 Even though these legs aren't moving, 1130 00:58:57,410 --> 00:58:59,286 I still feel like they're strong legs. 1131 00:58:59,286 --> 00:59:00,150 Yeah, yeah, yeah. 1132 00:59:00,150 --> 00:59:01,390 It's strange. 1133 00:59:01,390 --> 00:59:02,930 I feel like a million bucks. 1134 00:59:02,930 --> 00:59:03,860 You feel like a million bucks? 1135 00:59:03,860 --> 00:59:05,280 I know that sounds crazy. 1136 00:59:05,280 --> 00:59:06,113 No, that's great! 1137 00:59:06,113 --> 00:59:06,953 But I feel like a million bucks. 1138 00:59:06,953 --> 00:59:09,510 This is a true partnership, 1139 00:59:09,510 --> 00:59:12,524 where both learn from each other's experiences. 1140 00:59:12,524 --> 00:59:16,150 (light orchestral music) 1141 00:59:16,150 --> 00:59:18,840 My next stop is Miami, Florida. 1142 00:59:18,840 --> 00:59:22,060 At the university they house one of the largest archives 1143 00:59:22,060 --> 00:59:25,010 of brains donated by people who have died 1144 00:59:25,010 --> 00:59:28,810 from ALS, Alzheimer's, and Parkinson's. 1145 00:59:28,810 --> 00:59:33,490 Deborah Mash and David Davis are part of Paul's consortium. 1146 00:59:33,490 --> 00:59:35,220 Let's begin the processing then, 1147 00:59:35,220 --> 00:59:37,070 and be very interesting if we can look 1148 00:59:37,070 --> 00:59:39,470 at the frozen hemisphere and see if 1149 00:59:39,470 --> 00:59:42,213 there's any BMAA that we can detect. 1150 00:59:44,610 --> 00:59:46,620 It's a great detective story. 1151 00:59:46,620 --> 00:59:49,880 Why would there be BMAA in the brains 1152 00:59:49,880 --> 00:59:53,640 of people who died with ALS and Alzheimer's 1153 00:59:53,640 --> 00:59:56,090 who grew up in North America? 1154 00:59:56,090 --> 00:59:59,130 What could be a potential environmental source? 1155 00:59:59,130 --> 01:00:03,313 That led us immediately to question the marine food web. 1156 01:00:07,860 --> 01:00:09,800 So we went back to our colleagues, 1157 01:00:09,800 --> 01:00:12,380 to Larry Brand and our colleagues at the marine school, 1158 01:00:12,380 --> 01:00:16,264 and they were the ones who pieced together that story. 1159 01:00:16,264 --> 01:00:19,597 (soaring ambient music) 1160 01:00:22,883 --> 01:00:24,440 So basically the Keys starts here then. 1161 01:00:24,440 --> 01:00:26,963 Right, all the way down about 100 miles. 1162 01:00:28,400 --> 01:00:31,220 But even if the water out here is 1163 01:00:31,220 --> 01:00:33,760 fairly clean most of the time, 1164 01:00:33,760 --> 01:00:37,326 you still have problems with algae blooms? 1165 01:00:37,326 --> 01:00:38,159 Yes. 1166 01:00:38,159 --> 01:00:39,200 And even under most conditions, 1167 01:00:39,200 --> 01:00:42,420 even those toxic species are in low abundance. 1168 01:00:42,420 --> 01:00:44,040 So you're not gonna see much of a toxin, 1169 01:00:44,040 --> 01:00:46,130 it's not gonna really have an effect. 1170 01:00:46,130 --> 01:00:47,410 But under certain conditions, 1171 01:00:47,410 --> 01:00:51,360 you can have a large bloom of just this one species. 1172 01:00:51,360 --> 01:00:53,130 At that point now you have a high concentration 1173 01:00:53,130 --> 01:00:54,900 of toxins that can kill a lot of organisms, 1174 01:00:54,900 --> 01:00:56,790 can kill people, or make people sick and so on. 1175 01:00:56,790 --> 01:00:58,600 When you say it can kill people, 1176 01:00:58,600 --> 01:01:00,430 I mean what does it take, 1177 01:01:00,430 --> 01:01:03,160 swimming in the water of the Florida coast or? 1178 01:01:03,160 --> 01:01:04,660 Well, no. 1179 01:01:04,660 --> 01:01:05,960 Generally eating the seafood. 1180 01:01:05,960 --> 01:01:08,220 Clams, you know, mollusks in general, 1181 01:01:08,220 --> 01:01:10,030 they're filter feeding the algae out of the water. 1182 01:01:10,030 --> 01:01:11,960 The vast majority of the algae are nutritious, 1183 01:01:11,960 --> 01:01:13,410 they depend upon it for their food. 1184 01:01:13,410 --> 01:01:16,520 If you have a algal bloom of a toxic species, 1185 01:01:16,520 --> 01:01:19,350 all of sudden they acquire all this toxin, 1186 01:01:19,350 --> 01:01:21,060 they can't get rid of the toxin. 1187 01:01:21,060 --> 01:01:23,010 When you're eating that BMAA-laden fish, 1188 01:01:23,010 --> 01:01:24,710 you don't taste it, you don't smell it, 1189 01:01:24,710 --> 01:01:26,740 you're not getting any immediate symptoms. 1190 01:01:26,740 --> 01:01:28,300 So you're gonna continue eating those fish. 1191 01:01:28,300 --> 01:01:30,393 You're not gonna know for 10 or 20 years. 1192 01:01:31,490 --> 01:01:33,250 So that's much worse. 1193 01:01:33,250 --> 01:01:35,050 As a scientists I can only say, 1194 01:01:35,050 --> 01:01:38,810 here's the evidence that we've got, you're taking a risk. 1195 01:01:38,810 --> 01:01:41,800 I can't be absolutely certain that you're gonna 1196 01:01:41,800 --> 01:01:44,863 Alzheimer's 20 years from now, but you're taking a risk. 1197 01:01:44,863 --> 01:01:46,743 It's a risk I would not take myself. 1198 01:01:47,700 --> 01:01:49,650 Florida was to deliver 1199 01:01:49,650 --> 01:01:51,450 yet another piece of the puzzle, 1200 01:01:51,450 --> 01:01:55,930 unfortunately, this also involves the marine food web. 1201 01:01:55,930 --> 01:01:57,750 Dolphins are seen swimming where 1202 01:01:57,750 --> 01:01:59,690 they should not normally be found. 1203 01:01:59,690 --> 01:02:02,430 They seem disoriented, lost, 1204 01:02:02,430 --> 01:02:05,160 not unlike people with Alzheimer's disease, 1205 01:02:05,160 --> 01:02:08,020 who also experience similar problems. 1206 01:02:08,020 --> 01:02:12,000 Sometimes these dolphins end up dying on the beaches. 1207 01:02:12,000 --> 01:02:14,080 Scientists taking care of the dead dolphins 1208 01:02:14,080 --> 01:02:17,640 provide the research team with brain tissues, 1209 01:02:17,640 --> 01:02:20,300 both from dolphins that have been stranded, 1210 01:02:20,300 --> 01:02:24,120 and from dolphins that have died in boating accidents. 1211 01:02:24,120 --> 01:02:27,030 When Deborah Mash analyzes the brain tissues, 1212 01:02:27,030 --> 01:02:30,230 she doesn't know which sample comes from which dolphin. 1213 01:02:30,230 --> 01:02:33,080 She is blinded to the source of her samples. 1214 01:02:33,080 --> 01:02:36,314 We've always had dolphin strandings. 1215 01:02:36,314 --> 01:02:39,000 Okay, that has occurred. 1216 01:02:39,000 --> 01:02:40,810 And people have a bunch of theories 1217 01:02:40,810 --> 01:02:42,570 about why that can happen. 1218 01:02:42,570 --> 01:02:46,700 Again, Larry Brand brings us some dolphin brains. 1219 01:02:46,700 --> 01:02:48,610 We look at the data. 1220 01:02:48,610 --> 01:02:52,080 I think Paul Cox was in town that time. 1221 01:02:52,080 --> 01:02:53,700 I go, I break the blind, 1222 01:02:53,700 --> 01:02:56,840 I look and I go, I don't believe it. 1223 01:02:56,840 --> 01:02:58,790 I don't believe it. 1224 01:02:58,790 --> 01:03:03,790 All the ones that were stranded had BMAA. 1225 01:03:04,300 --> 01:03:07,200 The accidental kills did not. 1226 01:03:07,200 --> 01:03:09,230 I said I don't believe this. 1227 01:03:09,230 --> 01:03:11,860 You could not make that data up. 1228 01:03:11,860 --> 01:03:15,300 And again, we were blinded to condition. 1229 01:03:15,300 --> 01:03:20,147 And we figure out that these apex predators have BMAA. 1230 01:03:22,350 --> 01:03:24,170 Apex meaning they are high up 1231 01:03:24,170 --> 01:03:26,760 in the food chain? They're just like we are. 1232 01:03:26,760 --> 01:03:29,410 We're an apex predator, you and me. 1233 01:03:29,410 --> 01:03:32,720 Sharks and dolphins, apex predators. 1234 01:03:32,720 --> 01:03:35,620 So again, you don't wanna overstate your data, 1235 01:03:35,620 --> 01:03:38,266 but now we had that piece of the puzzle. 1236 01:03:38,266 --> 01:03:40,060 (dramatic ambient music) 1237 01:03:40,060 --> 01:03:41,390 It's a scary thought. 1238 01:03:41,390 --> 01:03:44,430 Do dolphins actually die from Alzheimer's 1239 01:03:44,430 --> 01:03:47,180 or a similar illness that breaks down their brains 1240 01:03:47,180 --> 01:03:51,660 when Florida waters clog up with toxic cyanobacteria? 1241 01:03:51,660 --> 01:03:54,830 In the city of Stuart, along Florida's east coast, 1242 01:03:54,830 --> 01:03:56,930 cyanobacteria forced the governor 1243 01:03:56,930 --> 01:03:59,270 to declare a state of emergency. 1244 01:03:59,270 --> 01:04:02,180 Algae anxiety running high tonight. 1245 01:04:02,180 --> 01:04:05,350 New video of blue-green algae on the Treasure Coast. 1246 01:04:05,350 --> 01:04:06,910 Look at more of this mess. 1247 01:04:06,910 --> 01:04:10,210 Our News Channel Five crew spotting some dead fish 1248 01:04:10,210 --> 01:04:11,930 in the algae near Alice Street 1249 01:04:11,930 --> 01:04:13,410 not far from the Roosevelt Bridge. 1250 01:04:13,410 --> 01:04:17,030 Fears tonight that more sights like this are to come. 1251 01:04:17,030 --> 01:04:18,660 Now residents have also been getting little 1252 01:04:18,660 --> 01:04:21,130 face masks like these to protect themselves. 1253 01:04:21,130 --> 01:04:22,220 We've been getting some as well. 1254 01:04:22,220 --> 01:04:24,180 I've been wearing them today when we're around the water, 1255 01:04:24,180 --> 01:04:26,520 not only to diffuse the smell a little bit, 1256 01:04:26,520 --> 01:04:27,630 it really doesn't help much, 1257 01:04:27,630 --> 01:04:29,810 but mainly to protect ourselves from 1258 01:04:29,810 --> 01:04:32,740 the possible toxins that are released from this algae. 1259 01:04:32,740 --> 01:04:34,510 Martin County commissioners are demanding 1260 01:04:34,510 --> 01:04:37,060 the St. Lucie Locks be closed immediately, 1261 01:04:37,060 --> 01:04:39,920 but that's ultimately up to the Army Corps of Engineers, 1262 01:04:39,920 --> 01:04:42,920 and it always worries a swollen Lake Okeechobee 1263 01:04:42,920 --> 01:04:44,360 in rainy season could break through 1264 01:04:44,360 --> 01:04:47,000 the old earth and dikes surrounding them. 1265 01:04:47,000 --> 01:04:48,290 As you see what amounts to more than 1266 01:04:48,290 --> 01:04:51,366 a billon gallons a day of water pumping through those locks. 1267 01:04:51,366 --> 01:04:54,580 (water splashing) 1268 01:04:54,580 --> 01:04:55,900 The source of the coastal 1269 01:04:55,900 --> 01:04:58,303 disaster is Lake Okeechobee. 1270 01:04:58,303 --> 01:04:59,190 (ominous ambient music) 1271 01:04:59,190 --> 01:05:01,150 Behind the levees, polluted water 1272 01:05:01,150 --> 01:05:03,400 from the surrounding sugar cane fields 1273 01:05:03,400 --> 01:05:07,543 nourish the water and cause the cyanobacteria to bloom. 1274 01:05:10,000 --> 01:05:12,050 Arriving in the middle of the bloom, 1275 01:05:12,050 --> 01:05:14,363 Paul Cox takes no chances. 1276 01:05:16,120 --> 01:05:17,190 I guess people might think 1277 01:05:17,190 --> 01:05:19,190 I'm overreacting to have a dust mask, 1278 01:05:19,190 --> 01:05:21,630 but we know from Doctor Stommel's work at Dartmouth 1279 01:05:21,630 --> 01:05:25,623 that people can potentially inhale in these toxins. 1280 01:05:26,550 --> 01:05:29,968 Being out in this green muck all day has been really tough. 1281 01:05:29,968 --> 01:05:33,551 (ominous orchestral music) 1282 01:05:39,670 --> 01:05:41,530 There's clearly one species 1283 01:05:41,530 --> 01:05:43,673 of toxic cyanobacteria, maybe more. 1284 01:05:45,800 --> 01:05:47,280 Analysis of this sample 1285 01:05:47,280 --> 01:05:52,020 actually shows three toxic species of cyanobacteria. 1286 01:05:52,020 --> 01:05:54,210 What's really worried is I'm out in full protective gear 1287 01:05:54,210 --> 01:05:56,490 and I can see people and children 1288 01:05:56,490 --> 01:06:00,113 out bathing, fishing, picnicking. 1289 01:06:00,950 --> 01:06:02,920 So I'm really concerned. 1290 01:06:02,920 --> 01:06:04,530 I spoke to the County Commissioner 1291 01:06:04,530 --> 01:06:06,310 in Martin County, Florida. 1292 01:06:06,310 --> 01:06:09,930 They held an emergency meeting for the population. 1293 01:06:09,930 --> 01:06:13,170 State health officials were prevented from coming. 1294 01:06:13,170 --> 01:06:14,470 There seems to be a political issue. 1295 01:06:14,470 --> 01:06:15,360 I don't understand. 1296 01:06:15,360 --> 01:06:18,290 People should not be exposed to cyanobacteria. 1297 01:06:18,290 --> 01:06:22,003 Word needs to get out that these toxins are very dangerous. 1298 01:06:23,528 --> 01:06:26,090 (light orchestral music) 1299 01:06:26,090 --> 01:06:29,850 Upon receiving worrying news from Paris, 1300 01:06:29,850 --> 01:06:33,330 Paul immediately left to meet with Ellie O'Connell, 1301 01:06:33,330 --> 01:06:35,653 who'd been admitted to hospital for care. 1302 01:06:36,500 --> 01:06:38,440 The hospital did not allow Ellie 1303 01:06:38,440 --> 01:06:40,550 to continue to eat the L-serine, 1304 01:06:40,550 --> 01:06:43,860 as it was not a registered drug, but a food supplement. 1305 01:06:43,860 --> 01:06:46,110 Her situation quickly worsened. 1306 01:06:46,110 --> 01:06:49,220 She could no longer swallow, no longer eat or drink, 1307 01:06:49,220 --> 01:06:51,263 her life hung in the balance. 1308 01:06:52,305 --> 01:06:53,687 Well. It's two to five. 1309 01:06:53,687 --> 01:06:54,710 She had demanded 1310 01:06:54,710 --> 01:06:56,250 to be released from the hospital, 1311 01:06:56,250 --> 01:06:59,490 and when they met she'd eaten the L-serine for a week now 1312 01:06:59,490 --> 01:07:01,480 and there is a turn for the better. 1313 01:07:01,480 --> 01:07:03,240 Typical patients do. 1314 01:07:03,240 --> 01:07:06,270 Yeah, well six weeks not able to swallow soup 1315 01:07:06,270 --> 01:07:07,733 and then suddenly you take serine, 1316 01:07:07,733 --> 01:07:09,430 and you're able to swallow some soup. 1317 01:07:09,430 --> 01:07:11,196 That makes me happy. It's the honest 1318 01:07:11,196 --> 01:07:12,810 to God's truth. 1319 01:07:12,810 --> 01:07:13,930 Oh, that's great. 1320 01:07:13,930 --> 01:07:14,790 Looks like it may have helped. 1321 01:07:14,790 --> 01:07:19,790 It absolutely, absolutely helped a thousand percent. 1322 01:07:19,956 --> 01:07:21,946 I do know it for sure. 1323 01:07:21,946 --> 01:07:24,538 I do, but I'll never, I can promise, 1324 01:07:24,538 --> 01:07:25,709 I'll never stop again. 1325 01:07:25,709 --> 01:07:26,542 (laughing) 1326 01:07:26,542 --> 01:07:29,920 I've been so moved by my interaction 1327 01:07:29,920 --> 01:07:31,890 with the few patients who have 1328 01:07:31,890 --> 01:07:34,160 on an experimental basis taken this drug. 1329 01:07:34,160 --> 01:07:36,550 It's been thrilling to me 1330 01:07:36,550 --> 01:07:39,180 to see those patients that feel that 1331 01:07:39,180 --> 01:07:41,340 L-serine has improved their health, 1332 01:07:41,340 --> 01:07:42,590 that it slowed the progression, 1333 01:07:42,590 --> 01:07:44,640 that it's given them more time with their loved ones. 1334 01:07:44,640 --> 01:07:47,830 The puzzle pieces are falling into place. 1335 01:07:47,830 --> 01:07:51,240 David Davis has found the toxic BMAA 1336 01:07:51,240 --> 01:07:54,710 only in brains from people who died from ALS, 1337 01:07:54,710 --> 01:07:57,660 not in corresponding controls. 1338 01:07:57,660 --> 01:08:00,360 He now slices thin layers of brain tissue 1339 01:08:00,360 --> 01:08:05,000 from primates which have been fed food laced with BMAA. 1340 01:08:05,000 --> 01:08:07,080 Only primates have the same brain 1341 01:08:07,080 --> 01:08:09,340 and nervous systems as we have. 1342 01:08:09,340 --> 01:08:11,480 It's a crucial experiment. 1343 01:08:11,480 --> 01:08:13,500 If he can prove a direct link between 1344 01:08:13,500 --> 01:08:16,550 the toxin and brain damage, 1345 01:08:16,550 --> 01:08:18,743 it will be the biggest breakthrough yet. 1346 01:08:20,770 --> 01:08:22,910 These are actually the alpha syns. 1347 01:08:22,910 --> 01:08:24,330 Oh, that's alpha synuclein. 1348 01:08:24,330 --> 01:08:25,810 Have Cox and his team 1349 01:08:25,810 --> 01:08:28,460 finally been able to prove the connection between 1350 01:08:28,460 --> 01:08:33,460 BMAA and cell damage in an animal model with primates? 1351 01:08:33,950 --> 01:08:35,310 What I'd really like to do before 1352 01:08:35,310 --> 01:08:37,480 we see the results of the experiment, 1353 01:08:37,480 --> 01:08:40,170 is look at a human Alzheimer's brain. 1354 01:08:40,170 --> 01:08:42,140 Can you zoom in and show me some 1355 01:08:42,140 --> 01:08:44,480 neurofibrillary tangles, some tangles or? 1356 01:08:44,480 --> 01:08:47,400 Sure, I'm gonna zoom in on the hippocampus. 1357 01:08:47,400 --> 01:08:49,380 Okay, go ahead, right in the hippocampus. 1358 01:08:49,380 --> 01:08:53,060 This is an area affected by Alzheimer's disease. 1359 01:08:53,060 --> 01:08:54,210 Okay. 1360 01:08:54,210 --> 01:08:55,360 And I'm seeing here. 1361 01:08:55,360 --> 01:08:58,440 Well, it looks like we have some dead neurons in here 1362 01:08:58,440 --> 01:09:00,080 that are filled with tau. 1363 01:09:00,080 --> 01:09:00,913 That's correct. 1364 01:09:00,913 --> 01:09:02,930 So this basically is the classical 1365 01:09:02,930 --> 01:09:05,090 picture of Alzheimer's disease. 1366 01:09:05,090 --> 01:09:08,990 This is in renal cortex of a vervet, treated. 1367 01:09:08,990 --> 01:09:09,930 When it was fed BMAA. 1368 01:09:09,930 --> 01:09:11,747 Yeah. Okay, now, wow! 1369 01:09:11,747 --> 01:09:12,963 (chuckles) Sorry. 1370 01:09:14,580 --> 01:09:15,510 That's amazing. 1371 01:09:15,510 --> 01:09:17,340 'Cause it looks to me like we've got 1372 01:09:17,340 --> 01:09:19,140 neurons here filled with tau. 1373 01:09:19,140 --> 01:09:19,973 Correct. Just like 1374 01:09:19,973 --> 01:09:20,900 in the Alzheimer's patient. 1375 01:09:20,900 --> 01:09:23,580 We're seeing neurofibrillary tangles, these long. 1376 01:09:23,580 --> 01:09:25,870 And this has never been seen before ever in an animal? 1377 01:09:25,870 --> 01:09:26,973 No. Wow! 1378 01:09:26,973 --> 01:09:29,190 (laugh) Sorry! 1379 01:09:29,190 --> 01:09:31,090 I think that's amazing. 1380 01:09:31,090 --> 01:09:32,876 This means that we were right. 1381 01:09:32,876 --> 01:09:35,120 (laughs) We're right, wow. 1382 01:09:35,120 --> 01:09:36,080 Fantastic. 1383 01:09:36,080 --> 01:09:37,250 When we saw the images, 1384 01:09:37,250 --> 01:09:40,320 we had our computers hooked up with Miami Brain Bank, 1385 01:09:40,320 --> 01:09:42,730 us in Jackson Hole, my team, 1386 01:09:42,730 --> 01:09:45,570 neuroscience associates in Tennessee, 1387 01:09:45,570 --> 01:09:47,070 we're all looking at the images 1388 01:09:47,070 --> 01:09:50,243 at the same time for the neuropathology. 1389 01:09:50,243 --> 01:09:51,810 And you coulda heard a pin drop 1390 01:09:51,810 --> 01:09:56,810 because all of a sudden, all of us saw beta-amyloid plaques, 1391 01:09:57,460 --> 01:09:59,743 we saw neurofibrillary tangles. 1392 01:10:01,680 --> 01:10:03,597 Dr. Switzer in Tennessee said, 1393 01:10:03,597 --> 01:10:05,860 "Who put in these Alzheimer's patient slides?" 1394 01:10:05,860 --> 01:10:08,357 and I said "Those are not Alzheimer's patients. 1395 01:10:08,357 --> 01:10:10,100 "Those are the experimental animals." 1396 01:10:10,100 --> 01:10:13,630 He says, "No, no, no, this must be Alzheimer's." 1397 01:10:13,630 --> 01:10:18,080 And we're saying, no, these are not Alzheimer's patients. 1398 01:10:18,080 --> 01:10:19,257 So what happened here, 1399 01:10:19,257 --> 01:10:21,810 and what I think is so stunning to us, 1400 01:10:21,810 --> 01:10:24,750 is we began looking really at a problem 1401 01:10:24,750 --> 01:10:26,810 experienced by a few villages 1402 01:10:26,810 --> 01:10:29,650 in a very remote island in the Pacific, 1403 01:10:29,650 --> 01:10:31,680 and trying to understand what triggered 1404 01:10:31,680 --> 01:10:33,680 this disease in these people. 1405 01:10:33,680 --> 01:10:35,760 We then found out that the toxin they're 1406 01:10:35,760 --> 01:10:38,900 exposed to occurs all around the world. 1407 01:10:38,900 --> 01:10:41,630 You could be exposed to it sitting up in Lake Erie. 1408 01:10:41,630 --> 01:10:45,460 You could be sitting in Stockholm and be exposed to this. 1409 01:10:45,460 --> 01:10:48,400 I mean, that was terrifying to us, 1410 01:10:48,400 --> 01:10:50,490 and now to suddenly realize this 1411 01:10:50,490 --> 01:10:54,280 includes not just ALS pathology, 1412 01:10:54,280 --> 01:10:56,990 but Alzheimer's pathology, 1413 01:10:56,990 --> 01:11:01,120 and with we add age, Parkinson's pathology. 1414 01:11:01,120 --> 01:11:02,520 That was staggering to us. 1415 01:11:02,520 --> 01:11:05,253 It is an astonishing breakthrough. 1416 01:11:06,930 --> 01:11:09,010 Increase motor activity. 1417 01:11:09,010 --> 01:11:10,950 And hyperarousal. 1418 01:11:10,950 --> 01:11:13,080 For the botanist Paul Cox, 1419 01:11:13,080 --> 01:11:16,600 it's important that brain experts confirm the findings. 1420 01:11:16,600 --> 01:11:17,433 Can we credibly say 1421 01:11:17,433 --> 01:11:20,410 that there could be a relationship. 1422 01:11:20,410 --> 01:11:23,830 We assume, based on your seminal observations, 1423 01:11:23,830 --> 01:11:27,885 that we've been exposed to BMAA throughout. 1424 01:11:27,885 --> 01:11:28,718 Throughout life. 1425 01:11:28,718 --> 01:11:29,900 Throughout life. Yeah. 1426 01:11:29,900 --> 01:11:33,510 To my knowledge, this is the first demonstration 1427 01:11:33,510 --> 01:11:37,163 of a naturalistic model of a human disorder. 1428 01:11:38,140 --> 01:11:38,973 Wow! 1429 01:11:40,270 --> 01:11:41,750 Why do you say that? 1430 01:11:41,750 --> 01:11:43,420 Because there's nothing in nature 1431 01:11:43,420 --> 01:11:45,623 that gives us that effect. 1432 01:11:47,100 --> 01:11:49,100 That's black and white. 1433 01:11:49,100 --> 01:11:50,763 Seeing is believing. 1434 01:11:53,020 --> 01:11:54,930 It's a big moment. 1435 01:11:54,930 --> 01:11:57,753 Paul has prepared the text for scientific publication. 1436 01:12:01,763 --> 01:12:04,740 BMAA induced formation of beta-amyloid plaques. 1437 01:12:04,740 --> 01:12:06,940 The words environmental toxin 1438 01:12:06,940 --> 01:12:08,803 and Alzheimer's stand out. 1439 01:12:14,450 --> 01:12:16,100 But you have been talking about 1440 01:12:17,120 --> 01:12:20,700 ALS, and BMAA, and cyanobacteria for years, 1441 01:12:20,700 --> 01:12:23,680 but now you introduce the word Alzheimer's in it? 1442 01:12:23,680 --> 01:12:24,513 Yeah. 1443 01:12:24,513 --> 01:12:26,080 That's big news. 1444 01:12:26,080 --> 01:12:30,193 I mean, it's been suggested that smoking, air pollution, 1445 01:12:31,120 --> 01:12:33,930 exposure to organic solvents may increase the risk 1446 01:12:33,930 --> 01:12:36,240 of Alzheimer's disease, but the data aren't clear. 1447 01:12:36,240 --> 01:12:38,330 Here we have experimental proof 1448 01:12:38,330 --> 01:12:41,240 that exposure to a specific environmental toxin 1449 01:12:41,240 --> 01:12:43,060 can trigger Alzheimer's disease. 1450 01:12:43,060 --> 01:12:44,133 That's a big deal. 1451 01:12:46,600 --> 01:12:49,420 Before there is a public announcement of the results, 1452 01:12:49,420 --> 01:12:52,150 Paul meets with his colleagues from around the world 1453 01:12:52,150 --> 01:12:54,510 at their annual get together. 1454 01:12:54,510 --> 01:12:57,080 (scientists chattering) 1455 01:12:57,080 --> 01:12:58,560 Here I meet them all again, 1456 01:12:58,560 --> 01:13:02,523 the scientists I have met and filmed with for a few years. 1457 01:13:03,960 --> 01:13:05,900 It's almost like a school reunion 1458 01:13:05,900 --> 01:13:10,070 where people are eager to talk about their latest results, 1459 01:13:10,070 --> 01:13:12,913 and surely also follow up on life in general. 1460 01:13:15,870 --> 01:13:18,660 They arrive from around the world. 1461 01:13:18,660 --> 01:13:21,750 From Sweden, Australia, Qatar, Florida, 1462 01:13:21,750 --> 01:13:24,770 Wyoming, Wisconsin, and New Hampshire, 1463 01:13:24,770 --> 01:13:27,403 and they come from France and South Africa. 1464 01:13:29,180 --> 01:13:31,760 I was actually sort of depressed 1465 01:13:31,760 --> 01:13:34,400 the day before because I just 1466 01:13:34,400 --> 01:13:37,210 didn't know how people would receive it. 1467 01:13:37,210 --> 01:13:39,480 Everybody here has done a lotta work on this. 1468 01:13:39,480 --> 01:13:42,350 It's been a real thrill for me to part of the consortium 1469 01:13:42,350 --> 01:13:44,450 and see all the super things you're doing. 1470 01:13:45,330 --> 01:13:48,760 What we discovered really blew our minds. 1471 01:13:48,760 --> 01:13:53,760 And we found an extraordinarily high significance. 1472 01:13:54,290 --> 01:13:57,250 Chronic exposure to BMAA triggers the formation 1473 01:13:57,250 --> 01:13:59,170 of neurofibrillary tangles. 1474 01:13:59,170 --> 01:14:00,510 And this to me, 1475 01:14:00,510 --> 01:14:01,890 if I can just parenthetically insert, 1476 01:14:01,890 --> 01:14:04,730 suggests we may have a public health crisis. 1477 01:14:04,730 --> 01:14:08,930 We don't know how high a dose you need 1478 01:14:08,930 --> 01:14:12,384 before you start affecting 50% of the population. 1479 01:14:12,384 --> 01:14:13,750 (scientists applauding) 1480 01:14:13,750 --> 01:14:15,560 It's a masterful teamwork, 1481 01:14:15,560 --> 01:14:17,300 and a great result accepted by 1482 01:14:17,300 --> 01:14:19,203 the greater scientific community. 1483 01:14:20,690 --> 01:14:25,070 In Miami I have made an appointment with Walter Bradley, 1484 01:14:25,070 --> 01:14:26,500 a world-leading neurologist, 1485 01:14:26,500 --> 01:14:28,650 who himself has spent a lifetime 1486 01:14:28,650 --> 01:14:31,683 trying to find the missing piece in the ALS puzzle. 1487 01:14:32,720 --> 01:14:35,510 So you call this a game changer. 1488 01:14:35,510 --> 01:14:37,413 It's a major step forward. 1489 01:14:39,770 --> 01:14:41,410 The step forward that everyone has 1490 01:14:41,410 --> 01:14:45,110 been asking for for a very long time, and now it is here. 1491 01:14:45,110 --> 01:14:47,990 How does the field, any field, 1492 01:14:47,990 --> 01:14:49,930 look at an outsider coming in? 1493 01:14:49,930 --> 01:14:51,790 And of course they're skeptical. 1494 01:14:51,790 --> 01:14:56,200 Some of the people who've had their careers vested in this 1495 01:14:56,200 --> 01:14:58,860 are not just skeptical, they're threatened. 1496 01:14:58,860 --> 01:15:03,340 And so there are the significant problems 1497 01:15:03,340 --> 01:15:06,630 that happen for somebody coming from outside the field. 1498 01:15:06,630 --> 01:15:08,520 That's the pushback that he has 1499 01:15:08,520 --> 01:15:09,970 suffered all the way through. 1500 01:15:10,960 --> 01:15:12,760 His track record nevertheless, 1501 01:15:12,760 --> 01:15:17,688 makes it clear that those people were Luddites, 1502 01:15:17,688 --> 01:15:20,770 (laughs) were resisting something 1503 01:15:20,770 --> 01:15:24,064 that in the end should not have been resisted. 1504 01:15:24,064 --> 01:15:26,850 (dramatic ambient music) 1505 01:15:26,850 --> 01:15:29,530 But there is an elephant in the room, 1506 01:15:29,530 --> 01:15:33,033 or maybe I should say an elephant in my food store. 1507 01:15:34,450 --> 01:15:37,170 And unfortunately it takes me to the section 1508 01:15:37,170 --> 01:15:39,210 of the store where I normally look 1509 01:15:39,210 --> 01:15:41,963 for the healthy and important items. 1510 01:15:47,740 --> 01:15:50,143 This is spirulina juice. 1511 01:15:58,710 --> 01:16:01,450 Spirulina is the commercial name for 1512 01:16:01,450 --> 01:16:05,230 a group of cyanobacteria, yes cyanobacteria, 1513 01:16:05,230 --> 01:16:06,570 the same stuff that we have been 1514 01:16:06,570 --> 01:16:09,110 looking at in Lake Erie, along the Florida coast, 1515 01:16:09,110 --> 01:16:11,250 the Baltic Sea, and all the other places 1516 01:16:11,250 --> 01:16:14,400 we visited for this film project. 1517 01:16:14,400 --> 01:16:18,020 The weird thing is that there is no testing 1518 01:16:18,020 --> 01:16:20,580 of commercial products looking for the BMAA 1519 01:16:21,870 --> 01:16:24,993 before this hits the shelves in the food stores. 1520 01:16:26,610 --> 01:16:28,590 And searching the Internet I will find 1521 01:16:28,590 --> 01:16:31,940 spirulina in all forms such as juice, 1522 01:16:31,940 --> 01:16:35,560 powder, gel caps, and tablets. 1523 01:16:35,560 --> 01:16:38,860 But scientists in Canada have now presented breakthrough 1524 01:16:38,860 --> 01:16:43,273 information about the toxic BMAA in spirulina products, 1525 01:16:44,610 --> 01:16:47,260 because what they have found is a call to action. 1526 01:16:47,260 --> 01:16:48,193 They conclude, 1527 01:16:49,490 --> 01:16:54,190 not all spirulina products tested positive for BMAA, 1528 01:16:54,190 --> 01:16:58,560 but raw material samples of unprocessed spirulina 1529 01:16:58,560 --> 01:17:01,683 all tested positive for BMAA. 1530 01:17:02,670 --> 01:17:04,890 So maybe this glass of spirulina juice 1531 01:17:04,890 --> 01:17:09,520 doesn't contain toxic material, but another product will. 1532 01:17:09,520 --> 01:17:12,270 I have no way of knowing. 1533 01:17:12,270 --> 01:17:15,170 Is it worth playing Russian roulette with our health 1534 01:17:15,170 --> 01:17:19,133 knowing there is a risk to get ALS or Alzheimer's. 1535 01:17:20,067 --> 01:17:23,070 (mysterious ambient music) 1536 01:17:23,070 --> 01:17:25,280 This could be the end of a journey 1537 01:17:25,280 --> 01:17:27,900 that has lasted for four years. 1538 01:17:27,900 --> 01:17:32,210 I have followed and questioned Paul at every turn. 1539 01:17:32,210 --> 01:17:34,940 None of us knew where the science would lead us, 1540 01:17:34,940 --> 01:17:37,660 and none of us knew which stories we would tell, 1541 01:17:37,660 --> 01:17:39,503 or which people we would meet. 1542 01:17:41,586 --> 01:17:43,570 I have had reasons to contemplate 1543 01:17:43,570 --> 01:17:45,750 over the work done by scientists, 1544 01:17:45,750 --> 01:17:48,810 and which role they play in society. 1545 01:17:48,810 --> 01:17:50,360 While some have found reasons 1546 01:17:50,360 --> 01:17:52,580 to be part of a public discussion, 1547 01:17:52,580 --> 01:17:55,750 others insist on restraint with comments 1548 01:17:55,750 --> 01:17:58,000 that can worry and create conflict. 1549 01:17:58,000 --> 01:18:01,340 It's the structure of scientific revolutions. 1550 01:18:01,340 --> 01:18:04,410 You have to take a risk. 1551 01:18:04,410 --> 01:18:05,920 Paul's a risk-taker. 1552 01:18:05,920 --> 01:18:08,060 I've seen the puzzle pieces go down, 1553 01:18:08,060 --> 01:18:11,560 and every time Paul puts another piece of that puzzle down, 1554 01:18:11,560 --> 01:18:15,383 or something in my laboratory fits in his puzzle, 1555 01:18:16,290 --> 01:18:18,100 you double down, you know. 1556 01:18:18,100 --> 01:18:20,250 So I've been playing this poker game for a while 1557 01:18:20,250 --> 01:18:22,580 right alongside of Paul Cox. 1558 01:18:22,580 --> 01:18:23,860 I think he's a winner. 1559 01:18:23,860 --> 01:18:26,390 The toxic puzzle has many pieces. 1560 01:18:26,390 --> 01:18:29,370 One by one they've fallen into place. 1561 01:18:29,370 --> 01:18:32,020 Science has opened up doors to a future 1562 01:18:32,020 --> 01:18:34,820 which is both threatening, and yet promising. 1563 01:18:34,820 --> 01:18:37,150 This is like a slow toxin, 1564 01:18:37,150 --> 01:18:38,900 and it's a silent killer in a sense 1565 01:18:38,900 --> 01:18:40,460 because we don't know that it's 1566 01:18:40,460 --> 01:18:41,800 in the water that we're drinking, 1567 01:18:41,800 --> 01:18:43,950 we don't know it's in the food that we're eating. 1568 01:18:43,950 --> 01:18:46,690 But we now know that it can cause 1569 01:18:46,690 --> 01:18:51,090 these neurodegenerative conditions like Alzheimer's disease. 1570 01:18:51,090 --> 01:18:53,350 Their work has created hope, 1571 01:18:53,350 --> 01:18:56,280 hope for ALS patients and their families. 1572 01:18:56,280 --> 01:18:59,183 Now we're talking about Alzheimer's disease. 1573 01:19:00,320 --> 01:19:02,060 For people who reach the age of 85, 1574 01:19:02,060 --> 01:19:04,390 there's a 50-50 chance they're gonna 1575 01:19:04,390 --> 01:19:05,937 have Alzheimer's disease. 1576 01:19:05,937 --> 01:19:09,393 And Alzheimer's disease is taking millions of people, 1577 01:19:09,393 --> 01:19:12,820 and it's costing trillion of dollars. 1578 01:19:12,820 --> 01:19:15,240 We now know that changing our diet 1579 01:19:15,240 --> 01:19:18,720 can prevent the toxins from destroying our brains. 1580 01:19:18,720 --> 01:19:20,500 We need to keep the hope. 1581 01:19:20,500 --> 01:19:23,520 We need to keep up being hopeful 1582 01:19:23,520 --> 01:19:25,820 that we're gonna solve this puzzle. 1583 01:19:25,820 --> 01:19:27,730 And it really is a big, big puzzle 1584 01:19:27,730 --> 01:19:29,362 that we're finding little pieces to, 1585 01:19:29,362 --> 01:19:31,420 and trying to see pictures 1586 01:19:31,420 --> 01:19:34,110 to make the whole understandable. 1587 01:19:34,110 --> 01:19:36,380 We're getting there, slowly but surely. 1588 01:19:36,380 --> 01:19:38,260 Maybe soon a scientist 1589 01:19:38,260 --> 01:19:40,520 will lay down the missing piece, 1590 01:19:40,520 --> 01:19:42,670 allowing us to bring back our loved ones 1591 01:19:42,670 --> 01:19:45,190 from the darkness of brain disorders, 1592 01:19:45,190 --> 01:19:49,210 regain lucidity, and perfect health. 1593 01:19:49,210 --> 01:19:50,763 Are we closer to a cure? 1594 01:19:51,910 --> 01:19:55,120 I would say, I don't want to use the word cure, 1595 01:19:55,120 --> 01:19:58,180 but I think we're close to prevention, 1596 01:19:58,180 --> 01:19:59,680 and that's better than a cure. 1597 01:20:02,250 --> 01:20:06,550 My real hope is that this can open a new avenue, 1598 01:20:06,550 --> 01:20:09,080 a new way of thinking about these illnesses, 1599 01:20:09,080 --> 01:20:12,270 and might shed not only new scientific insight, 1600 01:20:12,270 --> 01:20:13,513 but give patients hope. 1601 01:20:15,440 --> 01:20:17,040 Well, when you're this sick, 1602 01:20:17,040 --> 01:20:18,553 there is never too much hope. 1603 01:20:20,131 --> 01:20:21,470 You know, if you told me to lick a tree, 1604 01:20:21,470 --> 01:20:22,690 I probably would. 1605 01:20:22,690 --> 01:20:24,420 Yeah, I put all my hope in Paul, 1606 01:20:24,420 --> 01:20:26,700 'cause he's the only one that's ever given me 1607 01:20:26,700 --> 01:20:29,390 like any inch of hope. 1608 01:20:29,390 --> 01:20:32,660 Hope is what will complete 1609 01:20:32,660 --> 01:20:35,677 and negate the toxic puzzle. 1610 01:20:43,068 --> 01:20:46,151 (somber piano music) 125009

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