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(gentle electronic music)
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(heavy breathing)
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(somber music)
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David, can you blow my nose?
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Thank you.
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Life on Earth was created
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in the primordial ocean with sunlight as an energy source.
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Cyanobacteria were among the first living organisms,
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and they created oxygen that soon helped form an atmosphere
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and the basis for all other life on Earth.
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Cyanobacteria gave life where there was none.
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Are the same organisms today,
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fed by human pollution and climate change,
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claiming human lives as nature's revenge?
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Do you have any advice?
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My advice is make sure you drink clean water.
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Don't drink green, smelly water.
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Do not get exposed to cyanobacteria.
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And we know, for example, in Australia,
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that there are very large blooms
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of blue-green algae that occur often,
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and the size and frequency of those blooms
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is increasing with increasing temperatures,
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increasing global temperatures,
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increasing rising sea levels, et cetera.
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Because we have proven a link
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between the environmental health,
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the health of the environment and human health.
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And people have to understand that,
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that this is not a theory, this is fact.
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This is like a slow toxin
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and it's a silent killer in a sense,
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because we don't know that it's
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in the water that we're drinking,
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we don't know it's in the food that we're eating,
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but we now know that it can cause
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these neurodegenerative conditions like Alzheimer's disease.
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Yeah, it is, I lose an ALS patient
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maybe once every two weeks.
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I see two to three new or follow-up ALS patients every week.
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I see the devastation it has on families, on patients.
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You know, many of us have written grants on this topic,
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and we can't get traction.
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So the funding has come from the private sector,
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not from the public sector.
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I think the fact that there is an environmental cause
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is somehow going to make this research
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less likely to be pursued,
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less likely to be accepted by society.
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I think this has been the missing puzzle piece,
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because there's a lot of very interesting work going on,
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but a direct connection
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between what we're doing and human disease,
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Alzheimer's disease, the Guam disease, ALS, Parkinson's,
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that puzzle piece has been missing.
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As a biologist and investigative filmmaker,
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Bo Landin has for decades brought
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important environmental issues to the forefront worldwide.
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Well, my hunt for the hidden killer
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will start with a journey to Jackson, Wyoming.
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I'm about to meet with Paul Cox, an ethnobotanist,
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who is gonna take me on a global quest
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to solve a puzzle that scientists have tried to solve
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for a very, very long time, and that is to find a cure
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for ALS, Alzheimer's and Parkinson's.
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But my journey with Paul Cox actually started 27 years ago.
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Right now I'm driving through a fairly barren
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western landscape in the United States,
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and this is Wyoming.
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But when I first met Paul Cox
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it was in a totally different environment.
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That was in the rainforest of the South Pacific,
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in Western Samoa.
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(speaking in foreign language)
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Oh look, it's flowering here.
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Yeah.
In fact, you know,
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this is the first time I've seen the flowers.
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(speaking in foreign language)
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He says it's used for any inflammation activities here.
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And we've taken this to the National Cancer Institute.
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We're testing it against
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39 different types of human cell cancer,
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and then we're also looking at
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its activity against the AIDS virus.
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So our hope here, of course,
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is that we can find something of use.
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It's really important to make herbarium voucher specimens
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of the plants we collect here.
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That way if there's ever any question
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about the botanical identity of these plants,
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we can answer it.
(gentle ambient music)
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So if we find something of interest here,
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we can come back and recollect it,
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we can tell the people which plants they are,
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and perhaps the people could even grow these things someday
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if they turn out to be useful for medicine,
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and then help their local economy.
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Paul Cox is a different kind of scientist,
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driven by a passion for people,
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nature, and cultures worldwide.
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As a scientist he works
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on the frontiers of human understanding,
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and as an ethnobotanist he has
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a profound respect for traditional knowledge.
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My thinking was that indigenous people
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have thousands of years of experience
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in treating illness, recognizing illness,
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using the plants around them to make remedies.
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So I decided I would focus in ethnomedicine.
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I'd try use patterns of disease and wellness
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among indigenous people to yield clues
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that we could then test in a laboratory
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to come up with new drugs.
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I thought about going back to medical school
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to become an oncologist.
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I realized, well, maybe as a doctor
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I could treat hundreds of patients,
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but if I could discover a new drug
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it would help millions of people,
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and I thought it was worth the gamble.
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And then the big quest for me was
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to try find something to treat ALS,
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amyotrophic lateral sclerosis, motor neurone disease,
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known in the United States as Lou Gehrig's disease.
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I mean, this is probably one of the worst diseases known.
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People who get this essentially have a death sentence.
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And there have been no drugs discovered since 1993,
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not one, for this terrible, terrible illness,
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so even though the shot of success is so small,
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I think it's worth my life
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to try find a new drug for these poor people.
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(gentle music)
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This story has its origin 15 years ago
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on the island of Guam in the Pacific Ocean.
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In some villages, after World War II
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almost 25% of the local Chamorro people died
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in an illness that looked like a combination
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of ALS, Alzheimer's, and Parkinson's.
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The doctors had no clue what caused
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these severe neurological diseases.
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The Chamorro people knew that flour
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made from cycad seeds and used for tortillas was toxic,
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so the seeds were carefully rinsed,
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but toxic levels in the flour were low
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and could not explain the illnesses.
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Paul Cox knew Chamorro people also liked
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to eat flying foxes, fruit-eating bats,
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which themselves foraged on the cycad seeds.
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The scientist found the concentration
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of toxins in the flying fox flesh
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to be 100 times higher than in cycad flour.
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But how did the toxins get into the plants to start with?
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That's the first piece of the puzzle Paul looked for.
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So if you look around near the base of the soil,
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you can find these very unusual coralloid roots.
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There is something really fantastic
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I'd like to show you here if I can.
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So you're saying this is actually the root of.
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That's a specialized type of root,
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and it harbors something truly incredible inside.
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There we go.
Oh there, that's.
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That's a good one.
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You can see that green layer, those are cyanobacteria,
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and they live in symbiosis with the tree.
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While the tree gets nitrogen fix, so fertilizer,
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it also get the toxins the cyanobacteria produce.
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But why would it need a toxic substance?
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Well, it protects the tree, so you go out in the jungle,
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I mean, there's nothing that eats the leaves.
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Well, that was sort of the inspiration
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because I was thinking about this problem,
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thinking about this village,
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suddenly realized they're eating the flying foxes,
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and then when I suddenly realized
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that these cyanobacteria in the roots
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I thought, bingo, maybe that's the source of the toxin.
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It was April 2003, we discovered two things.
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We discovered that cyanobacteria produced this toxin, BMAA.
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We also found that BMAA was in the brain tissues
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of the villagers who died of the disease,
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but not in control patients.
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And we discovered it was in the brain tissues
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of Alzheimer's patients.
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Wow!
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I said, you know, we could be self-deluded here.
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We really need outside eyes, people who've never heard this,
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to give us some confidential feedback.
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What are you proposing?
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I said, we should go to Stockholm right now.
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(laughs) And they said, why?
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I said, well, what I'll do is I'll contact
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the Royal Academy of Sciences in Stockholm,
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ask them for a closed meeting
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where we have neurologists, chemists,
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and then we'll wait for the gunfire.
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And they will point out to us all the things that were wrong
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or any way that we've deluded ourselves here.
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So we gave our results for about an hour,
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and then we stopped, and said, okay,
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we welcome your comments or criticisms,
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and there was no reaction.
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And of course I'm very fond of Swedes,
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and they're extremely polite people, but they are academics.
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And so I said, you know, we've budgeted two hours here
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just to hear your criticisms.
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And I think it was Sebastian Conradi,
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a famous neurologist from the Karolinska Institute,
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he spoke, he said, "You know,
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"when we first heard of your ideas
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"it was cocktail party jokes here in Stockholm.
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"Now we'd like to join with you."
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And so that was the beginning of the consortium.
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Rachel Dunlop works with Ken Rogers
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in Sydney, Australia.
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In the world of science,
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people that work in different disciplines
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don't tend to talk to each other.
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So we don't understand what plant biologists are doing,
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we don't understand what marine biologists are doing.
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I'm a cell biologist, we work in a little silo.
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And Paul Cox breaks down those silos
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by coming to people with different areas of expertise.
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Paul Cox came to you because he has been,
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he had this hunch that BMAA, the toxin he found in Guam,
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could mess something up in our bodies.
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So what did he tell you, and what did he ask you to do?
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He knew that we had this special technique
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and we had a series of skills
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that we used in our lab routinely,
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and he came and said,
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"Well, I know you guys work in heart disease research,
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"but would you mind just stopping all of that
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"and maybe coming and doing motor neurone disease, ALS?"
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And reading your paper now,
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you did find an answer for him.
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We did, which was unexpected and also very exciting.
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We found that BMAA can actually be mistaken
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for another amino acid that our body
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naturally uses to make proteins.
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So it's a little bit like a battle here between BMAA,
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the toxic substances that comes into the body,
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and the serine that is naturally occurring in there,
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so it's a tug-of-war.
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That's right, it is.
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I think that's a good analogy, a tug-of-war,
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because if there's more BMAA in the cell
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it will win the war.
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So this may be a trigger in susceptible people
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for ALS, a motor neurone disease.
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Rachel Dunlop and Ken Rogers
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deliver a crucial piece to the toxic puzzle.
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They can explain what's happening in the cells.
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The BMAA toxin corrupts the body's
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protein-building processes.
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And they also discover
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that the body's own amino acid, L-serine,
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in higher doses can counter the effects of the toxin.
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That's what we've seen,
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I mean you can see these, the shape.
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(tank rumbling)
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The next piece of this toxic puzzle
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comes from an unlikely place, Kuwait.
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During the Desert Storm campaign,
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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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