Society Needs Regulations to Prevent Research Abuses
[Editor's Note: Our Big Moral Question this month is, "Do government regulations help or hurt the goal of responsible and timely scientific innovation?"]
Government regulations help more than hurt the goal of responsible and timely scientific innovation. Opponents might argue that without regulations, researchers would be free to do whatever they want. But without ethics and regulations, scientists have performed horrific experiments. In Nazi concentration camps, for instance, doctors forced prisoners to stay in the snow to see how long it took for these inmates to freeze to death. These researchers also removed prisoner's limbs in order to try to develop innovations to reconnect these body parts, but all the experiments failed.
Researchers in not only industry, but also academia have violated research participants' rights.
Due to these atrocities, after the war, the Nuremberg Tribunal established the first ethical guidelines for research, mandating that all study participants provide informed consent. Yet many researchers, including those in leading U.S. academic institutions and government agencies, failed to follow these dictates. The U.S. government, for instance, secretly infected Guatemalan men with syphilis in order to study the disease and experimented on soldiers, exposing them without consent to biological and chemical warfare agents. In the 1960s, researchers at New York's Willowbrook State School purposefully fed intellectually disabled children infected stool extracts with hepatitis to study the disease. In 1966, in the New England Journal of Medicine, Henry Beecher, a Harvard anesthesiologist, described 22 cases of unethical research published in the nation's leading medical journals, but were mostly conducted without informed consent, and at times harmed participants without offering them any benefit.
Despite heightened awareness and enhanced guidelines, abuses continued. Until a 1974 journalistic exposé, the U.S. government continued to fund the now-notorious Tuskegee syphilis study of infected poor African-American men in rural Alabama, refusing to offer these men penicillin when it became available as effective treatment for the disease.
In response, in 1974 Congress passed the National Research Act, establishing research ethics committees or Institutional Review Boards (IRBs), to guide scientists, allowing them to innovate while protecting study participants' rights. Routinely, IRBs now detect and prevent unethical studies from starting.
Still, even with these regulations, researchers have at times conducted unethical investigations. In 1999 at the Los Angeles Veterans Affairs Hospital, for example, a patient twice refused to participate in a study that would prolong his surgery. The researcher nonetheless proceeded to experiment on him anyway, using an electrical probe in the patient's heart to collect data.
Part of the problem and consequent need for regulations is that researchers have conflicts of interest and often do not recognize ethical challenges their research may pose.
Pharmaceutical company scandals, involving Avandia, and Neurontin and other drugs, raise added concerns. In marketing Vioxx, OxyContin, and tobacco, corporations have hidden findings that might undercut sales.
Regulations become increasingly critical as drug companies and the NIH conduct increasing amounts of research in the developing world. In 1996, Pfizer conducted a study of bacterial meningitis in Nigeria in which 11 children died. The families thus sued. Pfizer produced a Nigerian IRB approval letter, but the letter turned out to have been forged. No Nigerian IRB had ever approved the study. Fourteen years later, Wikileaks revealed that Pfizer had hired detectives to find evidence of corruption against the Nigerian Attorney General, to compel him to drop the lawsuit.
Researchers in not only industry, but also academia have violated research participants' rights. Arizona State University scientists wanted to investigate the genes of a Native American group, the Havasupai, who were concerned about their high rates of diabetes. The investigators also wanted to study the group's rates of schizophrenia, but feared that the tribe would oppose the study, given the stigma. Hence, these researchers decided to mislead the tribe, stating that the study was only about diabetes. The university's research ethics committee knew the scientists' plan to study schizophrenia, but approved the study, including the consent form, which did not mention any psychiatric diagnoses. The Havasupai gave blood samples, but later learned that the researchers published articles about the tribe's schizophrenia and alcoholism, and genetic origins in Asia (while the Havasupai believed they originated in the Grand Canyon, where they now lived, and which they thus argued they owned). A 2010 legal settlement required that the university return the blood samples to the tribe, which then destroyed them. Had the researchers instead worked with the tribe more respectfully, they could have advanced science in many ways.
Part of the problem and consequent need for regulations is that researchers have conflicts of interest and often do not recognize ethical challenges their research may pose.
Such violations threaten to lower public trust in science, particularly among vulnerable groups that have historically been systemically mistreated, diminishing public and government support for research and for the National Institutes of Health, National Science Foundation and Centers for Disease Control, all of which conduct large numbers of studies.
Research that has failed to follow ethics has in fact impeded innovation.
In popular culture, myths of immoral science and technology--from Frankenstein to Big Brother and Dr. Strangelove--loom.
Admittedly, regulations involve inherent tradeoffs. Following certain rules can take time and effort. Certain regulations may in fact limit research that might potentially advance knowledge, but be grossly unethical. For instance, if our society's sole goal was to have scientists innovate as much as possible, we might let them stick needles into healthy people's brains to remove cells in return for cash that many vulnerable poor people might find desirable. But these studies would clearly pose major ethical problems.
Research that has failed to follow ethics has in fact impeded innovation. In 1999, the death of a young man, Jesse Gelsinger, in a gene therapy experiment in which the investigator was subsequently found to have major conflicts of interest, delayed innovations in the field of gene therapy research for years.
Without regulations, companies might market products that prove dangerous, leading to massive lawsuits that could also ultimately stifle further innovation within an industry.
The key question is not whether regulations help or hurt science alone, but whether they help or hurt science that is both "responsible and innovative."
We don't want "over-regulation." Rather, the right amount of regulations is needed – neither too much nor too little. Hence, policy makers in this area have developed regulations in fair and transparent ways and have also been working to reduce the burden on researchers – for instance, by allowing single IRBs to review multi-site studies, rather than having multiple IRBs do so, which can create obstacles.
In sum, society requires a proper balance of regulations to ensure ethical research, avoid abuses, and ultimately aid us all by promoting responsible innovation.
[Ed. Note: Check out the opposite viewpoint here, and follow LeapsMag on social media to share your perspective.]
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.