Scientists Just Started Testing a New Class of Drugs to Slow--and Even Reverse--Aging
Imagine reversing the processes of aging. It's an age-old quest, and now a study from the Mayo Clinic may be the first ray of light in the dawn of that new era.
The immune system can handle a certain amount of senescence, but that capacity declines with age.
The small preliminary report, just nine patients, primarily looked at the safety and tolerability of the compounds used. But it also showed that a new class of small molecules called senolytics, which has proven to reverse markers of aging in animal studies, can work in humans.
Aging is a relentless assault of chronic diseases including Alzheimer's, cardiovascular disease, diabetes, and frailty. Developing one chronic condition strongly predicts the rapid onset of another. They pile on top of each other and impede the body's ability to respond to the next challenge.
"Potentially, by targeting fundamental aging processes, it may be possible to delay or prevent or alleviate multiple age-related conditions and many diseases as a group, instead of one at a time," says James Kirkland, the Mayo Clinic physician who led the study and is a top researcher in the growing field of geroscience, the biology of aging.
Getting Rid of "Zombie" Cells
One element common to many of the diseases is senescence, a kind of limbo or zombie-like state where cells no longer divide or perform many regular functions, but they don't die. Senescence is thought to be beneficial in that it inhibits the cancerous proliferation of cells. But in aging, the senescent cells still produce molecules that create inflammation both locally and throughout the body. It is a cycle that feeds upon itself, slowly ratcheting down normal body function and health.
Disease and harmful stimuli like radiation to treat cancer can also generate senescence, which is why young cancer patients seem to experience earlier and more rapid aging. The immune system can handle a certain amount of senescence, but that capacity declines with age. There also appears to be a threshold effect, a tipping point where senescence becomes a dominant factor in aging.
Kirkland's team used an artificial intelligence approach called machine learning to look for cell signaling networks that keep senescent cells from dying. To date, researchers have identified at least eight such signaling networks, some of which seem to be unique to a particular type of cell or tissue, but others are shared or overlap.
Then a computer search identified molecules known to disrupt these signaling pathways "and allow cells that are fully senescent to kill themselves," he explains. The process is a bit like looking for the right weapons in a video game to wipe out lingering zombie cells. But instead of swords, guns, and grenades, the list of biological tools so far includes experimental molecules, approved drugs, and natural supplements.
Treatment
"We found early on that targeting single components of those networks will only kill a very small minority of senescent cells or senescent cell types," says Kirkland. "So instead of going after one drug-one target-one disease, we're going after networks with combinations of drugs or drugs that have multiple targets. And we're going after every age-related disease."
The FDA is grappling with guidance for researchers wanting to conduct clinical trials on something as broad as aging rather than a single disease.
The large number of potential senolytic (i.e. zombie-neutralizing) compounds they identified allowed Kirkland to be choosy, "purposefully selecting drugs where the side effects profile was good...and with short elimination half-lives." The hit and run approach meant they didn't have to worry about maintaining a steady state of drugs in the body for an extended period of time. Some of the compounds they selected need only a half hour exposure to trigger the dying process in senescent cells, which can then take several days.
Work in mice has already shown impressive results in reversing diabetes, weight gain, Alzheimer's, cardiovascular disease and other conditions using senolytic agents.
That led to Kirkland's pilot study in humans with diabetes-related kidney disease using a three-day regimen of dasatinib, a kinase inhibitor first approved in 2006 to treat some forms of blood cancer, and quercetin, a flavonoid found in many plants and sold as a food supplement.
The combination was safe and well tolerated; it reduced the number of senescent cells in the belly fat of patients and restored their normal function, according to results published in September in the journal EBioMedicine. This preliminary paper was based on 9 patients in an ongoing study of 30 patients.
Kirkland cautions that these are initial and incomplete findings looking primarily at safety issues, not effectiveness. There is still much to be learned about the use of senolytics, starting with proof that they actually provide clinical benefit, and against what chronic conditions. The drug combinations, doses, duration, and frequency, not to mention potential risks all must be worked out. Additional studies of other diseases are being developed.
What's Next
Ron Kohanski, a senior administrator at the NIH National Institute on Aging (NIA), says the field of senolytics is so new that there isn't even a consensus on how to identify a senescent cell, and the FDA is grappling with guidance for researchers wanting to conduct clinical trials on something as broad as aging rather than a single disease.
Intellectual property concerns may temper the pharmaceutical industry's interest in developing senolytics to treat chronic diseases of aging. It looks like many mix-and-match combinations are possible, and many of the potential molecules identified so far are found in nature or are drugs whose patents have or will soon expire. So the ability to set high prices for such future drugs, and hence the willingness to spend money on expensive clinical trials, may be limited.
Still, Kohanski believes the field can move forward quickly because it often will include products that are already widely used and have a known safety profile. And approaches like Kirkland's hit and run strategy will minimize potential exposure and risk.
He says the NIA is going to support a number of clinical trials using these new approaches. Pharmaceutical companies may feel that they can develop a unique part of a senolytic combination regimen that will justify their investment. And if they don't, countries with socialized medicine may take the lead in supporting such research with the goal of reducing the costs of treating aging patients.
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.