Would You Want to Know a Decade Early If You Were Getting Alzheimer's?
Editor's Note: A team of researchers in Italy recently used artificial intelligence and machine learning to diagnose Alzheimer's disease on a brain scan an entire decade before symptoms show up in the patient. While some people argue that early detection is critical, others believe the knowledge would do more harm than good. LeapsMag invited contributors with opposite opinions to share their perspectives.
I first realized something was wrong with my dad when I came home for Thanksgiving 20 years ago.
I hadn't seen my family for more than a year after moving from New York to California. My father was meticulous, a multi-shower a day man, a regular Beau Brummell. He was never officially diagnosed with dementia, but it was easy to figure out after he stopped leaving the house, stopped reading, stopped being himself. My mother knew, but she never sought help. After his illness showed itself, I asked her if she considered a nursing home. "Never," she told me. "I can take care of him." And she did.
She gave herself a break once to visit me, and it was the first time she traveled separately from him since they eloped at seventeen. My brother watched my father, and it was not smooth. Dad was angry, hallucinating, and demanding his gun, which had been disposed of long ago. While Mom was visiting me in California, we played some board games. One demanded honest answers. The card read, What are you most afraid of? "Dementia," she said.
My father never saw this coming, none of us did.
Dementia ran on my mother's side. Her mother, my Nana, was senile, the popular diagnosis for older folks back then. My grandfather tried his hardest to take care of her, but she kept escaping their tidy 6th floor apartment to run away. My mother would go over every day to take care of them, but once my grandfather became ill, she took her mother into our apartment. She had two small children, Nana, and her husband in a two-bedroom flat. Nana talked to people under plates, wore tissues on her head, and tried to escape. We were on the first floor, so she could run into traffic if all eyes weren't on her. Soon, it was too much, even for my Wonder Woman mom. Nana was placed in a nursing home and died soon after.
My mother dropped dead on a NYC sidewalk two years after my father started to deteriorate. She was probably going to the store to buy milk and cigarettes. A kind stranger called 911, and a cop came to my parent's door soon after to tell my dad the news. My father cried for death, raged and ranted, then calmed down enough to come back as the dad we remembered for the week of mourning. He even ordered a Manhattan at dinner. His death came exactly a week and an hour after my mother's. He died of a broken heart. My husband cried with all his body after we left the cemetery, weeping, "Poor Buck. Poor Buck." I never saw him cry before.
Now, 18 years later, I sit here with my husband, 59 years old, as he suffers from the same hideous disease.
He is talking to someone I can't see, even laughing with him. He holds a Ph.D. in literature, taught college, had a single handicap golf game, and ate well. We never saw this coming. One day he went to type and jumbled letters came on the screen. He would show up late or early for his classes, wondering what was wrong with the students. He started running red lights. He was graciously counseled to retire, and he did, at 55. His doctor told him it was depression. The second opinion agreed. He was told to do nothing for a year, and he did. He played golf a bit, then one day he couldn't speak or think clearly. I came home from work to find him roaming the neighborhood, eyes ablaze, muttering to himself. I went on family leave. Many tests later we got the working diagnosis, but it meant nothing to him. He never reacted to the words Primary Progressive Aphasia or dementia. I was glad. If he was lucid, I knew what he would talk about doing. He told me after my dad's death that he did not want that life for himself.
I worry I may get it, too. It almost seems inescapable. Dementia has no cure, and the treatments for the symptoms are hit and miss. I thought about getting the full flight of predictive tests, but I know myself, and I scare myself into bracing for the worst. Others scare me, too, when I read their online statements about ending their lives if they learn they have it: I told my children to take me to a state where assisted suicide is legal; it's easy to overdose; I don't want to be a burden on my children. These are caregivers on social media forums. They live with the terror, eyes wide open. We have no children, but who would I burden? My sisters? My brother? Do I stay or do I go? This disease invites pandemonium. Assisted murder-suicides with caregiver spouses of those with dementia don't merit headlines, but their stories are on the sidebars. No thanks. I work on God's timeline.
There are no survivors – yet.
A diagnosis today would paralyze me and create melancholy for all who know me. I would second guess everything, I would read everything, I would cry, I would hardly live. I would be tempted to pick up that first drink after 20 plus years sober. I would even think about ending my life. It would be difficult not to consider. As a high school English teacher, I talk about suicide when I teach Hamlet. I tell the students suicide is a permanent solution to a temporary problem. Dementia isn't temporary. There are no survivors – yet.
I often think what my relatives would have done with an advance diagnosis. My grandmother was a classic worrier. She would have been beyond distraught. My father might have found that gun. My husband would have taken the right number of pills.
An advance diagnosis would paralyze me.
I appreciate the arguments for early diagnosis. Some people are made of sterner stuff. They have the mindset I lack. I admire so many who are contributing to the current conversation about dementia and are active advocates for a cure. They have found a purpose in their fate.
I don't need a test to get my ducks in a row. Loving those with dementia has prompted me to be prepared. I have a different type of bucket list: reset my priorities, slow down, be present, educate others, and make my legal plans. If and when it happens, there will be time for toast and tea and a walk along the shore. There will be time to plan for the inevitable and unenviable end. I am morbid enough to know I will recognize the purple elephant in the room. I don't want the shock and awe now. I can wait. My sisters agree. We will keep our elbows out.
Editor's Note: Consider the other side of the argument here.
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.