Is Alzheimer's Research On the Wrong Track?
"The graveyard of hope." That's what experts call the quest for effective Alzheimer's treatments, a two-decade effort that has been marked by one costly and high-profile failure after another. Nearly all of the drugs tested target one of the key hallmarks of Alzheimer's disease: amyloid plaques, the barnacle-like proteins long considered the culprits behind the memory-robbing ravages of the disease. Yet all the anti-amyloid drugs have flopped miserably, prompting some scientists to believe we've fingered the wrong villain.
"We're flogging a dead horse," says Peter Davies, PhD, an Alzheimer's researcher at the Feinstein Institute for Medical Research in New York. "The fact that no one's gotten better suggests that you have the wrong mechanism."
If the naysayers are right, how could a scientific juggernaut of this magnitude—involving hundreds of scientists in academia and industry at a cost of tens of billions of dollars--be so far off the mark? There are no easy answers, but some experts believe this calls into question how research is conducted and blame part of the failure on the insular culture of the scientific aristocracy at leading academic institutions.
"The field began to be dominated by narrow views."
"The field began to be dominated by narrow views," says George Perry, PhD, an Alzheimer's researcher and dean of the College of Sciences at the University of Texas in San Antonio. "The people pushing this were incredibly articulate, powerful and smart. They'd go to scientific meetings and all hang around with each other and they'd self-reinforce."
In fairness, there was solid science driving this. Post-mortem analyses of Alzheimer's patients found their brains were riddled with amyloid plaques. People with a strong family history of Alzheimer's had genetic mutations in the genes that encode for the production of amyloids. And in animal studies, scientists found that if amyloids were inserted into the brains of transgenic mice, they exhibited signs of memory loss. Remove the amyloids and they suddenly got better. This body of research helped launch the Amyloid Cascade Hypothesis of the disease in 1992—which has driven research ever since.
Scientists believed that the increase in the production of these renegade proteins, which form sticky plaques and collect outside of the nerve cells in the brain, triggers a series of events that interfere with the signaling system between synapses. This seems to prevent cells from relaying messages or talking to each other, causing memory loss, confusion and increasing difficulties doing the normal tasks of life. The path forward seemed clear: stop amyloid production and prevent disease progression. "We were going after the obvious abnormality," says Dr. David Knopman, a neurologist and Alzheimer's researcher at the Mayo Clinic in Rochester, Minnesota.
"Why wouldn't you do that?" Why ideed.
In hindsight, though, there was no real smoking gun—no one ever showed precisely how the production of amyloids instigates the destruction of vital brain circuits.
"Amyloids are clearly important," says Perry, "but they have not proven to be necessary and sufficient for the development of this disease."
Ironically, there have been hints all along that amyloids may not be toxic bad boys.
A handful of studies revealed that amyloid proteins are produced in healthy brains to protect synapses. Research on animal models that mimic diseases suggest that certain forms of amyloids can ease damage from strokes, traumatic brain injuries and even heart attacks. In a 2013 study, to cite just one example, a Stanford University team injected synthetic amyloids into paralyzed mice with an inflammatory disorder similar to multiple sclerosis. Instead of worsening their symptoms—which is what the researchers expected to happen--the mice could suddenly walk again. Remove the amyloids, and they became paralyzed once more.
Still other studies suggest amyloids may actually function as molecular guardians dispatched to silence inflammation and mop up errant cells after an injury as part of the body's waste management system. "The presence of amyloids is a protective response to something going wrong, a threat," says Dr. Dale Bredesen, a UCLA neurologist. "But the problem arises when the threats are chronic, multiple, unrelenting and intense. The defenses the brain mounts are also intense and these protective mechanisms cross the line into causing harm, and killing the very synapses and brain cells the amyloid was called up to protect."
So how did research get derailed?
In a way, we're victims of our own success, critics say.
Early medical triumphs in the heady post-World War II era, like the polio vaccine that eradicated the crippling childhood killer, or antibiotics, reinforced the magic bullet idea of curing disease--find a target and then hit it relentlessly. That's why when scientists made the link between amyloids and disease progression, Big Pharma jumped on the bandwagon in hopes of inventing a trillion-dollar drug. This approach is fine when you have an acute illness, like an infectious disease that's caused by one agent, but not for something as complicated as Alzheimer's.
The other piece of the problem is the dwindling federal dollars for basic research. Maverick scientists find it difficult to secure funding, which means that other possible targets or approaches remained relatively unexplored—and drug companies are understandably reluctant to sponsor fishing expeditions with little guarantee of a payoff. "Very influential people were driving this hypothesis," says Davies, and with careers on the line, "there was not enough objectivity or skepticism about that hypothesis."
Still, no one is disputing the importance of anti-amyloid drugs—and ongoing clinical trials, like the DIAN and A4 studies, are intervening earlier in patients who are at a high risk of developing Alzheimer's, but before they're symptomatic. "The only way to know if this is really a dead end is if you take it as far as it can go," says Knopman. "I believe the A4 study is the proper way to test the amyloid hypothesis."
But according to some experts, the latest thinking is that Alzheimer's is triggered by a range of factors, including genetics, poor diet, stress and lack of exercise.
"Alzheimer's is like other chronic age-related diseases and is multi-factorial," says Perry. "Modulating amyloids may have value but other avenues need to be explored."
DNA- and RNA-based electronic implants may revolutionize healthcare
Implantable electronic devices can significantly improve patients’ quality of life. A pacemaker can encourage the heart to beat more regularly. A neural implant, usually placed at the back of the skull, can help brain function and encourage higher neural activity. Current research on neural implants finds them helpful to patients with Parkinson’s disease, vision loss, hearing loss, and other nerve damage problems. Several of these implants, such as Elon Musk’s Neuralink, have already been approved by the FDA for human use.
Yet, pacemakers, neural implants, and other such electronic devices are not without problems. They require constant electricity, limited through batteries that need replacements. They also cause scarring. “The problem with doing this with electronics is that scar tissue forms,” explains Kate Adamala, an assistant professor of cell biology at the University of Minnesota Twin Cities. “Anytime you have something hard interacting with something soft [like muscle, skin, or tissue], the soft thing will scar. That's why there are no long-term neural implants right now.” To overcome these challenges, scientists are turning to biocomputing processes that use organic materials like DNA and RNA. Other promised benefits include “diagnostics and possibly therapeutic action, operating as nanorobots in living organisms,” writes Evgeny Katz, a professor of bioelectronics at Clarkson University, in his book DNA- And RNA-Based Computing Systems.
While a computer gives these inputs in binary code or "bits," such as a 0 or 1, biocomputing uses DNA strands as inputs, whether double or single-stranded, and often uses fluorescent RNA as an output.
Adamala’s research focuses on developing such biocomputing systems using DNA, RNA, proteins, and lipids. Using these molecules in the biocomputing systems allows the latter to be biocompatible with the human body, resulting in a natural healing process. In a recent Nature Communications study, Adamala and her team created a new biocomputing platform called TRUMPET (Transcriptional RNA Universal Multi-Purpose GatE PlaTform) which acts like a DNA-powered computer chip. “These biological systems can heal if you design them correctly,” adds Adamala. “So you can imagine a computer that will eventually heal itself.”
The basics of biocomputing
Biocomputing and regular computing have many similarities. Like regular computing, biocomputing works by running information through a series of gates, usually logic gates. A logic gate works as a fork in the road for an electronic circuit. The input will travel one way or another, giving two different outputs. An example logic gate is the AND gate, which has two inputs (A and B) and two different results. If both A and B are 1, the AND gate output will be 1. If only A is 1 and B is 0, the output will be 0 and vice versa. If both A and B are 0, the result will be 0. While a computer gives these inputs in binary code or "bits," such as a 0 or 1, biocomputing uses DNA strands as inputs, whether double or single-stranded, and often uses fluorescent RNA as an output. In this case, the DNA enters the logic gate as a single or double strand.
If the DNA is double-stranded, the system “digests” the DNA or destroys it, which results in non-fluorescence or “0” output. Conversely, if the DNA is single-stranded, it won’t be digested and instead will be copied by several enzymes in the biocomputing system, resulting in fluorescent RNA or a “1” output. And the output for this type of binary system can be expanded beyond fluorescence or not. For example, a “1” output might be the production of the enzyme insulin, while a “0” may be that no insulin is produced. “This kind of synergy between biology and computation is the essence of biocomputing,” says Stephanie Forrest, a professor and the director of the Biodesign Center for Biocomputing, Security and Society at Arizona State University.
Biocomputing circles are made of DNA, RNA, proteins and even bacteria.
Evgeny Katz
The TRUMPET’s promise
Depending on whether the biocomputing system is placed directly inside a cell within the human body, or run in a test-tube, different environmental factors play a role. When an output is produced inside a cell, the cell's natural processes can amplify this output (for example, a specific protein or DNA strand), creating a solid signal. However, these cells can also be very leaky. “You want the cells to do the thing you ask them to do before they finish whatever their businesses, which is to grow, replicate, metabolize,” Adamala explains. “However, often the gate may be triggered without the right inputs, creating a false positive signal. So that's why natural logic gates are often leaky." While biocomputing outside a cell in a test tube can allow for tighter control over the logic gates, the outputs or signals cannot be amplified by a cell and are less potent.
TRUMPET, which is smaller than a cell, taps into both cellular and non-cellular biocomputing benefits. “At its core, it is a nonliving logic gate system,” Adamala states, “It's a DNA-based logic gate system. But because we use enzymes, and the readout is enzymatic [where an enzyme replicates the fluorescent RNA], we end up with signal amplification." This readout means that the output from the TRUMPET system, a fluorescent RNA strand, can be replicated by nearby enzymes in the platform, making the light signal stronger. "So it combines the best of both worlds,” Adamala adds.
These organic-based systems could detect cancer cells or low insulin levels inside a patient’s body.
The TRUMPET biocomputing process is relatively straightforward. “If the DNA [input] shows up as single-stranded, it will not be digested [by the logic gate], and you get this nice fluorescent output as the RNA is made from the single-stranded DNA, and that's a 1,” Adamala explains. "And if the DNA input is double-stranded, it gets digested by the enzymes in the logic gate, and there is no RNA created from the DNA, so there is no fluorescence, and the output is 0." On the story's leading image above, if the tube is "lit" with a purple color, that is a binary 1 signal for computing. If it's "off" it is a 0.
While still in research, TRUMPET and other biocomputing systems promise significant benefits to personalized healthcare and medicine. These organic-based systems could detect cancer cells or low insulin levels inside a patient’s body. The study’s lead author and graduate student Judee Sharon is already beginning to research TRUMPET's ability for earlier cancer diagnoses. Because the inputs for TRUMPET are single or double-stranded DNA, any mutated or cancerous DNA could theoretically be detected from the platform through the biocomputing process. Theoretically, devices like TRUMPET could be used to detect cancer and other diseases earlier.
Adamala sees TRUMPET not only as a detection system but also as a potential cancer drug delivery system. “Ideally, you would like the drug only to turn on when it senses the presence of a cancer cell. And that's how we use the logic gates, which work in response to inputs like cancerous DNA. Then the output can be the production of a small molecule or the release of a small molecule that can then go and kill what needs killing, in this case, a cancer cell. So we would like to develop applications that use this technology to control the logic gate response of a drug’s delivery to a cell.”
Although platforms like TRUMPET are making progress, a lot more work must be done before they can be used commercially. “The process of translating mechanisms and architecture from biology to computing and vice versa is still an art rather than a science,” says Forrest. “It requires deep computer science and biology knowledge,” she adds. “Some people have compared interdisciplinary science to fusion restaurants—not all combinations are successful, but when they are, the results are remarkable.”
In today’s podcast episode, Leaps.org Deputy Editor Lina Zeldovich speaks about the health and ecological benefits of farming crickets for human consumption with Bicky Nguyen, who joins Lina from Vietnam. Bicky and her business partner Nam Dang operate an insect farm named CricketOne. Motivated by the idea of sustainable and healthy protein production, they started their unconventional endeavor a few years ago, despite numerous naysayers who didn’t believe that humans would ever consider munching on bugs.
Yet, making creepy crawlers part of our diet offers many health and planetary advantages. Food production needs to match the rise in global population, estimated to reach 10 billion by 2050. One challenge is that some of our current practices are inefficient, polluting and wasteful. According to nonprofit EarthSave.org, it takes 2,500 gallons of water, 12 pounds of grain, 35 pounds of topsoil and the energy equivalent of one gallon of gasoline to produce one pound of feedlot beef, although exact statistics vary between sources.
Meanwhile, insects are easy to grow, high on protein and low on fat. When roasted with salt, they make crunchy snacks. When chopped up, they transform into delicious pâtes, says Bicky, who invents her own cricket recipes and serves them at industry and public events. Maybe that’s why some research predicts that edible insects market may grow to almost $10 billion by 2030. Tune in for a delectable chat on this alternative and sustainable protein.
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Further reading:
More info on Bicky Nguyen
https://yseali.fulbright.edu.vn/en/faculty/bicky-n...
The environmental footprint of beef production
https://www.earthsave.org/environment.htm
https://www.watercalculator.org/news/articles/beef-king-big-water-footprints/
https://www.frontiersin.org/articles/10.3389/fsufs.2019.00005/full
https://ourworldindata.org/carbon-footprint-food-methane
Insect farming as a source of sustainable protein
https://www.insectgourmet.com/insect-farming-growing-bugs-for-protein/
https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/insect-farming
Cricket flour is taking the world by storm
https://www.cricketflours.com/
https://talk-commerce.com/blog/what-brands-use-cricket-flour-and-why/
Lina Zeldovich has written about science, medicine and technology for Popular Science, Smithsonian, National Geographic, Scientific American, Reader’s Digest, the New York Times and other major national and international publications. A Columbia J-School alumna, she has won several awards for her stories, including the ASJA Crisis Coverage Award for Covid reporting, and has been a contributing editor at Nautilus Magazine. In 2021, Zeldovich released her first book, The Other Dark Matter, published by the University of Chicago Press, about the science and business of turning waste into wealth and health. You can find her on http://linazeldovich.com/ and @linazeldovich.