Biohacking: Fad or Future? | Big Bold Health Podcast Ep 5

Jeffrey Bland traces how outsider experiments revealed the causes of pellagra, H. pylori, and penicillin. He argues citizen scientists using wearables and ketogenic diets can generate real medical knowledge, not just trends, if we build the informatics to scale what works.
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Hello and welcome back to the big Bold Health podcast, Making Health Personal in a World of Disease. We have been talking over the last few episodes about this shift from a disease centric health model to a focus on health. And if you were to sort of step back and think, how have I come across this idea before? You may have come across it through the guise of biohacking. Now, we wanted to spend a little bit of time talking about biohacking in this episode. Jeff, is biohacking sort of this N equals one experiment. It sounds a lot like what we've been talking about. And I guess I'd love to ask you, is this the sort of the future, the beginning of the future of early adoption, of the future of this health system, or is this just a passing fad?
Well, James, I think the question you're asking is a very important question about where innovation and discovery emerges and how it gains stickiness and ultimately grows up to become the standard of identity. And we're witnessing that transformation right now in healthcare. It's an unbelievably dynamic time where ideas that would have been just rejected out of hand 10 years ago are now being seriously considered because we're actually seeing some of these ideas being less ridiculous and more actually the future of where we're going. So where does this all start and how does it relate to the process of discovery? And I would take our big bold health concept back in my examples of what we could probably find many but one I would like to talk about are the Goldbergers husband and wife team that worked for the Public Health Service back at the turn of the last century in which they were infectious disease specialists. And so they were asked if they would go down to southern United States, the Appalachian area, and they would try to understand the origin the infectious organism that produced this disease called pellagra, which was thought to be caused by an infectious organism. And it was centered every fall, people would go into the mental institutions with this disease because its three symptoms were the three Ds of dermatitis, diarrhea and dementia. Three Ds. And it was thought that some infection caused these 3Ds to occur. So with their training, they went down there to find the organism. And after studying it for a year or two, they came to the conclusion that it didn't seem like it was actually an infectious disease at it seemed like it was something else related to a nutrition problem. And so they because the nutrition of these people living in Appalachia, they were very poor and it was rural. And so their Foods would change based on what they could grow on the land. So in the fall when they had, you know, kind of lost some of their foodstuffs and they were more deprived diet, this condition would start to appear. So they became so convinced that this was a nutrition problem. And I won't go through the whole history, let's just cut to the chase that as biohackers, and I'm using that term advisor, because they were not probably called biohackers in the 1920s or 15, they decided they would actually go themselves on a nutritionally deprived diet or they would even take the blood and the skin scrapings from pellagris victims and inject and ingest them in their own bodies to show that they would not produce the disease. And lo and behold, they could first of all be exposed to these materials from other polycarus victims and not get sick. But if they went on nutritional deprivation, they would get sick with the 3Ds. And they then did a study with a variety of inmates in the Illinois penitentiary system back then that were able to show that when they were put on a deprived diet, they would get these conditions. They would then take liver, beef liver and squeeze it through cheese cloth to make a liver juice and they would feed it to the individuals and they would get cured. So these biohacking concepts which no one had thought was reasonable, that was completely thrown out. In fact, in 1936 our own government had the Pellagra 2 report. This is some 15 years after they made these discoveries about pellagra was a nutritional deficiency disorder, could be treated with liver. In the 1936 report of our own government, they only had a small italicized reference to the Goldberger's work. And they said it was an infectious organism that fell, that was in certain families based upon their gen susceptibility 15 years later. So old ideas die hard, don't they? They do. So let's move forward to today. So as we move forward today, we can see examples this H. Pylori infection and esophageal ulcers and gastric ulcers were also associated with stress. And so people were on these anti stress diets and milk diets and taking antacids and the H2 blocker drugs. And then this family physician in Australia said no, I don't think it's caused by, by stress and by erosion from stomach acid. I think it's caused by an infection with an organism. And he and his buddy who was a pathologist, put together a lab in his garage and they started looking at the microscope and they concluded there were these little organisms that later be called Helicobacter pylori, which they felt was the cause of this epidemic of gastric ulceration. And, you know, the drug companies didn't like this because they had developed all these drugs to treat hyperacidity, the Tagamets of the world. And so he was just kind of ridiculed and said no. So he was so committed as a biohacker to that idea that he cultured up these organisms and he ingested them and produced in himself gastric ulceration. But then the problem is that there was no known treatment for the condition. Now he's sick. So then he had to develop a treatment and he used what was later be called a triple therapy of antibiotics to treat it. So this is another example of how a fugitive idea that didn't come from normal standard linear sequence research and was a fugitive outside and was people that are willing to could really biologically hack, biologically experiment, sometimes at their own peril, I might add, to see what worked. Now, does this mean everything should be tried by anybody? Well, I wouldn't necessarily recommend it because some things can be pretty life threatening. But what it does say is that we're into an early stage of looking at the human being from a different position. This, what you call this in of one experiment, which is each of us is an individual experiment of life, which there's no placebo. Even if we have an identical twin, it's not necessarily an exact placebo to us because that twin will engage in other things that we might not do. And therefore we are our own experiment against ourselves. And so how do we respond against what we select to do or have exposed or exposed to us over time? That leads us into being able to ask the right questions. How do we measure how we respond to what we're doing? And that leads into a whole new age of biometrics and analysis. So I think biohacking is the front edge of how we discover certain things that would not necessarily through standard research methods come about that we would later see as well. There's an island of opportunity that'll really populate that island.
So there's obviously a range of stories that need to die right for this next era. And there's a range of sort of innovators who are doing this kind of experimentation at this exact moment in history, in this sort of big, bold new era that we're jumping into. What are some of the most exciting green shoots that you see for the ending of stories that have done us harm as a population.
Well, I think right now, the story that has really caught fashion, and I think for good reason, which was kind of a sidebar for decades. I remember first talking about this in some of my seminars for doctors 30 years ago, which is the so called ketogenic diet, and it's been known for, oh, gee, more than 30 years, that individuals that go on this so called ketogenic diet, which is a lower calorie, higher fat, lower carbohydrate diet that induces in their blood the production of these fat byproducts, these metabolic byproducts, I call them fat debris called ketones. They have names like acetoacetate and acetone and beta hydroxybutyrate are examples that when they built up in the body, they seem to have a favorable effect on brain chemistry. And this was known in really looking at disorders related to epilepsy and to seizures, that there seemed to be something beneficial about ketogenic diets. And it was a sidebar. When I say sidebar, I mean the major field of neurology did not accept this. And of course, they were as far away from diet intervention as you can probably imagine. But it remained as a viable concept that certain people were researching over the last 30 years and for, again, I think really interesting reasons of the spreading effect of nutrition and its influence on function and biohackers that are willing to kind of dig in as what are called citizen scientists. Isn't that an interesting title? Citizen scientists who are individuals that are not necessarily scientists. They don't have degrees, they don't have institutional backgrounds, but they're willing to try things in their own body. And they're pretty good at recording information because that's where all discoveries come, is good information and recording that. They found when they started to go on these ketogenic diets, that they had favorable effects and it was producing outcomes that were viable in terms of their health, improving insulin sensitivity, reducing inflammation, improving mental clarity. So now we're moving away from kind of just biohacking kind of frontier with a few scientists at a minute, keeping this idea alive for 30 years, to where it's now become kind of in the mainstream. And now we're seeing, okay, who are ketogenic diets really best for? Under what conditions could they be implemented? How do we make them safe and effective? Now we get people recruited into it from all sorts of different disciplines starting to study it. And many of these people saying, oh, I always believed in ketogenic diets you know, but now suddenly it's really favorable to study it.
It seems like maybe where the biohacking thing goes wrong is that when a biohacker discovers something new in themselves, then the, you know, the sort of next step from there is to shout it from the rooftops that this is a new truth for everyone.
Yes.
As opposed to the biohacker going through a process for themselves, finding out something interesting about themselves and encouraging everyone else to go through that process for themselves.
Yeah. And I think that that's a really important watchword for, for our big, bold health podcast listeners, is that because it is truthful for one doesn't mean that it's truthful for all, because of the nature of this personalization concept that we're focusing on. I've often said, when I've been to seminars over the years, medical seminars, and I've been to probably thousands of them over the last 40 years, that I will generally trust and believe that any speaker who's giving an experience of their own background, that they're being truthful. I try to accept that as being truthful. That doesn't necessarily mean, however, that I accept all that they've said is available and applicable to everyone. And science really is valuable for one thing and one thing only, I think it's not a religion, it's not the reason for being of a person's life, but it is a standard by which we can evaluate the transferability of an idea. So let's say that you came up with a discovery, you biohacked and came up with a discovery, and you told me and a group of other people about this, and the assumption was that it would be good for all of us to do the same thing that you just had observed. The scientific method allows us to see what its applicability would be to the rest of it. In other words, how transferable, what probability would be that your observation could be transferred to me if I did it in myself or others, and I would get the same results. So it's a tool for evaluating transferability. I'm always reminded of this when I think of the development of penicillin, really the first kind of major pharmaceutical in American pharmaceutical world, that transformed all of pharmaceutical science. So penicillin really, as you know, came about through a whole series of interesting investigations, not necessarily related to drug therapy at all, about mold on bread. And then eventually it led to the possibility that this was a potential drug. But if you think about administering by injection a mold metabolite to a person when mold had always been considered to be a toxin, that mold produces toxins. It's a pretty dangerous thing to think of injecting this potentially in a person's blood. So how did that actually happen, that penicillin became approved because they eventually got an approval for one woman who was suffering from infections of her blood from just giving birth to a baby called postpartum sepsis, and that they gave her, then this one dose of penicillin, and had it not worked, we would have seen the whole change in the pharmaceutical world. But because it did work and she survived to see her baby grow up, suddenly, the birthing of the concept came about. Now, today, could we have done that? What was done in the 30s? Could we have done that experiment today based upon ethics and studies? It would have been very difficult to do that. So what I'm saying is that sometimes when people take risk and they explore the frontiers, it reminds me of kind of technical mountain climbing. From those early adopters came technologies that made available other people able to do technical climbing that would have never taken the risk of the first climbers or the first developers of that sport. So I think we're seeing that right now in biology and in health, that there are new things that are being developed that the early adopters are then putting to the scientific method to see if they're replicable and safe for others.
Well, that brings up a question, is that does it matter if it's replicable and safe for others, if it's valuable for the person that it happened to and other people can do it? I mean, it gets into an interesting argument because you're about talking. Talking about what we've been talking about all the way along, which is the value of the group, the average, versus the individual. And it seems as though in certain way, biohacking is antithetical to, you know, to the old way of facilitating science. But where does the medium sit for the future and how we know what is truth?
Well, just a second. I want to play a little accepting of what you're saying. Every bit of new knowledge that has led to revolutionary thoughts, be it the sphygnomometer for measuring blood pressure, or the stethoscope for measuring heart, or washing your hands, as Semmelweis did as a surgeon to prevent infection in the operating room, all of those came from observation of one person. They were all, in some sense, biological, hacking that some person who was a heretic, right to the standard of identity at the time. But the difference was that the way this might have been communicated is to say, here is an observation. I made that seems in my experience to be replicable, that when I do this I can see it happen in others. Then it opens the door for other people to see is it replicable in their hands? And that is where the rub really occurs. Now, how much do you need to prove something before it's ultimately adopted and that relates to, to its safety? If something is really unsafe, like giving a toxic drug to a person to kill a cancer, you want to be very cautious that you're going to be getting a good effect on some individuals and not just say, well, let's give it to everybody. If it's however, at worst going to do no harm, then your standards of evidentiary proof would be much lower. Right. So I think it has to do with assessing relative safety versus risk and relative safety value versus just something that sounds attractive to do but doesn't have a big outcome.
Yeah, yeah, it's. It's a, it's an interesting process of, of developing new knowledge. And yeah, ultimately I'd love to. To get your perspective on sort of like the, you know, sort of the, the way that biohacking ha. As a concept itself, as a way of people sort of entering into these things, the growth of the citizen scientists, how that can be best harnessed for rapidly increasing the knowledge of how we create human health.
Well, I think you just said it, and that's probably the most important takeaway from this discussion. And I would encourage all of our listeners to really see themselves part of this new community of engagement in health enterprise, personal engagement. And we talked about citizen scientists. Any individual who does something in their. That changes the way that they're treating their body, that gives an outcome that they can measure and they can track, it is involved in a form of science. Science comes from the word skio, to know. Right. So they are learning how to know something. And if they're a citizen, meaning not necessarily a scientist at an academic institution or a doctor or something, they are part of the citizen science community. And it is the citizen science community that is changing the scope of healthcare. There are. Let me give you an example. We're associated with a person at Harvard Med School and Mass General Hospital. He was at one time the chief of staff of Mass General Hospital who was involved with his group in developing the diabetes app for the Apple Watch. And he made a comment to us at one of our meetings that I thought was extraordinarily insightful. He said that in one year of people collecting their blood sugar, their information related to their diet and their effects, that it had on their function that there would be more information collected around diet and diabetes than had been collected in the all of studies that had ever been done in the history of science by one engagement of citizen scientists with their own bodies and reporting that information. This is being harnessed right now in all sorts of ways in different types of studies in which people are taking their wearable device information, putting it in the cloud and then giving it over to big data sets that allow aggregation to produce new discoveries that weren't before known. This is not part of standard randomized clinical control trials. This is a whole new way of gaining information and it's revolutionizing our ability to compress time to make discoveries that are going to improve people's health. So that is part of this age in which we live. We are all in this context, biohackers that are wearing devices and tracking things about our body. And.
What kind of data science does it take to really understand that? Because those numbers could be incomprehensible to anyone who's just looking at it with a brain, whereas maybe to an AI bot, right, that could be something that could be very easily turned into actionable information.
You've just said it. And that's the other part of this equation that's happening simultaneously is the emergence of informatics in handling complex data clouds of biological information or health information. You know, it used to be in my early days as a researcher in the 60s, we were always trying to make conclusions from too little information. We always wish we could do more experiments and bigger experiments to get more data. Now the challenge is not having, not having enough data, it's having too much data. And how do you handle the huge amounts of information that are made available through these new types of information gathering technologies? And that is fortunately we're seeing the emergence of this informatics where our data can be silently set up to the cloud. The cloud, if we give our permission for our data to be depersonalized so it takes our name off of it, can be sent over to another cloud to be combined into artificial intelligence interrogation in which it comes back to us eventually as operatable, actionable information that makes it very simple saying you should, following this information, do the following, that is the revolution of our time, is to have this connection between others in a similar space whose information is being aggregated, that information systems are analyzing, for which then the simplicity, I call it simplexity, comes back to us as actionable information that is meaningful and doesn't require a sophisticated science degree to understand. We are witnessing that today. It's just fascinating to see how fast this is changing. And so the whole nature of how we create new data and how we understand how to work, operate our body at a personal level. Actually, the doubling time is less than three years. So that means every three years, we accumulate as much new information as has been accumulated from Time Memoriam to today. Every three years, doubling. Wow.
You know, I'm sure there's things happening for, you know, for all kinds of, like disease risk, but also health creation, many different ways in which people can get involved to. To participate in one way or another and be part of this next year of knowledge creation.
Well, and I would say the area that you didn't mention that I know is very important to you because it is very important, is behavior science. Yeah. Now, I think when I say that term, behavior science, that might seem like an oxymoron to some people because they think behavior is not scientific. But there are ways of studying behavior using these methods that we're talking about to develop patterns of understanding that will help us all to understand how to support behavior changes that are going to be to our benefit, that will make them more easily complied with and more sticky. And that's the other part of this research. Citizen science is understanding the diversity of human behavior, how we can motivate and support and ultimately reinforce individuals making positive behavior changes. So it's not giving up those things they love, but rather doing that which really pays dividends to them.
Absolutely. Well, getting to the crux of what really makes people tick, finding those things and facilitating that is where this is going. We're excited for you to come and participate in whichever way that you see fit. Thank you for another great episode of the Big Bold Health Podcast. I'm your host, James Maskell. We've been here with Dr. Jeffrey Bland. Thanks so much for listening and we'll see you next.










