Personalized nutrition apps could provide valuable data to people trying to eat healthier, though more research must be done to show effectiveness.
As a type 2 diabetic, Michael Snyder has long been interested in how blood sugar levels vary from one person to another in response to the same food, and whether a more personalized approach to nutrition could help tackle the rapidly cascading levels of diabetes and obesity in much of the western world.
Eight years ago, Snyder, who directs the Center for Genomics and Personalized Medicine at Stanford University, decided to put his theories to the test. In the 2000s continuous glucose monitoring, or CGM, had begun to revolutionize the lives of diabetics, both type 1 and type 2. Using spherical sensors which sit on the upper arm or abdomen – with tiny wires that pierce the skin – the technology allowed patients to gain real-time updates on their blood sugar levels, transmitted directly to their phone.
It gave Snyder an idea for his research at Stanford. Applying the same technology to a group of apparently healthy people, and looking for ‘spikes’ or sudden surges in blood sugar known as hyperglycemia, could provide a means of observing how their bodies reacted to an array of foods.
“We discovered that different foods spike people differently,” he says. “Some people spike to pasta, others to bread, others to bananas, and so on. It’s very personalized and our feeling was that building programs around these devices could be extremely powerful for better managing people’s glucose.”
Unbeknown to Snyder at the time, thousands of miles away, a group of Israeli scientists at the Weizmann Institute of Science were doing exactly the same experiments. In 2015, they published a landmark paper which used CGM to track the blood sugar levels of 800 people over several days, showing that the biological response to identical foods can vary wildly. Like Snyder, they theorized that giving people a greater understanding of their own glucose responses, so they spend more time in the normal range, may reduce the prevalence of type 2 diabetes.
The commercial potential of such apps is clear, but the underlying science continues to generate intriguing findings.
“At the moment 33 percent of the U.S. population is pre-diabetic, and 70 percent of those pre-diabetics will become diabetic,” says Snyder. “Those numbers are going up, so it’s pretty clear we need to do something about it.”
Fast forward to 2022,and both teams have converted their ideas into subscription-based dietary apps which use artificial intelligence to offer data-informed nutritional and lifestyle recommendations. Snyder’s spinoff, January AI, combines CGM information with heart rate, sleep, and activity data to advise on foods to avoid and the best times to exercise. DayTwo–a start-up which utilizes the findings of Weizmann Institute of Science–obtains microbiome information by sequencing stool samples, and combines this with blood glucose data to rate ‘good’ and ‘bad’ foods for a particular person.
“CGMs can be used to devise personalized diets,” says Eran Elinav, an immunology professor and microbiota researcher at the Weizmann Institute of Science in addition to serving as a scientific consultant for DayTwo. “However, this process can be cumbersome. Therefore, in our lab we created an algorithm, based on data acquired from a big cohort of people, which can accurately predict post-meal glucose responses on a personal basis.”
The commercial potential of such apps is clear. DayTwo, who market their product to corporate employers and health insurers rather than individual consumers, recently raised $37 million in funding. But the underlying science continues to generate intriguing findings.
Last year, Elinav and colleagues published a study on 225 individuals with pre-diabetes which found that they achieved better blood sugar control when they followed a personalized diet based on DayTwo’s recommendations, compared to a Mediterranean diet. The journal Cell just released a new paper from Snyder’s group which shows that different types of fibre benefit people in different ways.
“The idea is you hear different fibres are good for you,” says Snyder. “But if you look at fibres they’re all over the map—it’s like saying all animals are the same. The responses are very individual. For a lot of people [a type of fibre called] arabinoxylan clearly reduced cholesterol while the fibre inulin had no effect. But in some people, it was the complete opposite.”
Eight years ago, Stanford's Michael Snyder began studying how continuous glucose monitors could be used by patients to gain real-time updates on their blood sugar levels, transmitted directly to their phone.
The Snyder Lab, Stanford Medicine
Because of studies like these, interest in precision nutrition approaches has exploded in recent years. In January, the National Institutes of Health announced that they are spending $170 million on a five year, multi-center initiative which aims to develop algorithms based on a whole range of data sources from blood sugar to sleep, exercise, stress, microbiome and even genomic information which can help predict which diets are most suitable for a particular individual.
“There's so many different factors which influence what you put into your mouth but also what happens to different types of nutrients and how that ultimately affects your health, which means you can’t have a one-size-fits-all set of nutritional guidelines for everyone,” says Bruce Y. Lee, professor of health policy and management at the City University of New York Graduate School of Public Health.
With the falling costs of genomic sequencing, other precision nutrition clinical trials are choosing to look at whether our genomes alone can yield key information about what our diets should look like, an emerging field of research known as nutrigenomics.
The ASPIRE-DNA clinical trial at Imperial College London is aiming to see whether particular genetic variants can be used to classify individuals into two groups, those who are more glucose sensitive to fat and those who are more sensitive to carbohydrates. By following a tailored diet based on these sensitivities, the trial aims to see whether it can prevent people with pre-diabetes from developing the disease.
But while much hope is riding on these trials, even precision nutrition advocates caution that the field remains in the very earliest of stages. Lars-Oliver Klotz, professor of nutrigenomics at Friedrich-Schiller-University in Jena, Germany, says that while the overall goal is to identify means of avoiding nutrition-related diseases, genomic data alone is unlikely to be sufficient to prevent obesity and type 2 diabetes.
“Genome data is rather simple to acquire these days as sequencing techniques have dramatically advanced in recent years,” he says. “However, the predictive value of just genome sequencing is too low in the case of obesity and prediabetes.”
Others say that while genomic data can yield useful information in terms of how different people metabolize different types of fat and specific nutrients such as B vitamins, there is a need for more research before it can be utilized in an algorithm for making dietary recommendations.
“I think it’s a little early,” says Eileen Gibney, a professor at University College Dublin. “We’ve identified a limited number of gene-nutrient interactions so far, but we need more randomized control trials of people with different genetic profiles on the same diet, to see whether they respond differently, and if that can be explained by their genetic differences.”
Some start-ups have already come unstuck for promising too much, or pushing recommendations which are not based on scientifically rigorous trials. The world of precision nutrition apps was dubbed a ‘Wild West’ by some commentators after the founders of uBiome – a start-up which offered nutritional recommendations based on information obtained from sequencing stool samples –were charged with fraud last year. The weight-loss app Noom, which was valued at $3.7 billion in May 2021, has been criticized on Twitter by a number of users who claimed that its recommendations have led to them developed eating disorders.
With precision nutrition apps marketing their technology at healthy individuals, question marks have also been raised about the value which can be gained through non-diabetics monitoring their blood sugar through CGM. While some small studies have found that wearing a CGM can make overweight or obese individuals more motivated to exercise, there is still a lack of conclusive evidence showing that this translates to improved health.
However, independent researchers remain intrigued by the technology, and say that the wealth of data generated through such apps could be used to help further stratify the different types of people who become at risk of developing type 2 diabetes.
“CGM not only enables a longer sampling time for capturing glucose levels, but will also capture lifestyle factors,” says Robert Wagner, a diabetes researcher at University Hospital Düsseldorf. “It is probable that it can be used to identify many clusters of prediabetic metabolism and predict the risk of diabetes and its complications, but maybe also specific cardiometabolic risk constellations. However, we still don’t know which forms of diabetes can be prevented by such approaches and how feasible and long-lasting such self-feedback dietary modifications are.”
Snyder himself has now been wearing a CGM for eight years, and he credits the insights it provides with helping him to manage his own diabetes. “My CGM still gives me novel insights into what foods and behaviors affect my glucose levels,” he says.
He is now looking to run clinical trials with his group at Stanford to see whether following a precision nutrition approach based on CGM and microbiome data, combined with other health information, can be used to reverse signs of pre-diabetes. If it proves successful, January AI may look to incorporate microbiome data in future.
“Ultimately, what I want to do is be able take people’s poop samples, maybe a blood draw, and say, ‘Alright, based on these parameters, this is what I think is going to spike you,’ and then have a CGM to test that out,” he says. “Getting very predictive about this, so right from the get go, you can have people better manage their health and then use the glucose monitor to help follow that.”
Laika, a gene-edited pig, was named in honor of the first living creature to orbit the earth, a stray dog named Laika.
Untold numbers of animals have contributed to science, in ways big and small. Studying cows and cowpox helped English doctor Edward Jenner create a smallpox vaccine; Ivan Pavlov's experiments on dogs' reactions to external stimuli heavily influenced modern behavioral psychology.
We have these five animals to thank for some of our most important scientific advancements, from space travel to better organ replacement options.
Scientists still work with rats, rabbits, and other mammals to test cosmetics and pharmaceuticals and to conduct infectious disease research. Most of these animals remain nameless and unknown to the public, but over the years, certain individuals have had an outsize effect. We have these five animals to thank for some of our most important scientific advancements, from space travel to better organ replacement options.
1) LAIKA THE DOG
Laika was the first living creature ever to orbit the Earth. In October 1957, the Soviet Sputnik I ship had made history as the first man-made object sent into Earth's orbit; Premier Nikita Khrushchev was keen to gain another Space Race victory by sending up a canine cosmonaut.
Laika ("barker" in Russian), was a stray dog, reportedly a husky-spitz mix, recruited among several other female strays for the trip. Although the scientists put extensive work into preparing Laika and the other canine finalists—evaluating their reactions to air-pressure variations, training them to adapt to pelvic sanitation devices meant to contain waste, and eventually having them live in pressurized capsules for weeks—there was no expectation that the dog would return to Earth, and only one meal's worth of food was sent up with her.
Sputnik II, six times heavier than its predecessor, launched on November 3, 1957. Soviet broadcasts reported that Laika, fitted out with surgically implanted devices to monitor her heart rate, blood pressure, and breathing rates, survived until November 12; the spacecraft stayed in orbit for five more months, burning up when it re-entered the atmosphere.
At the time, the Sputnik II team reassured the world that Laika had died painlessly of oxygen deprivation. It was only decades later, in the 1990s, that Oleg Gazenko—one of the scientists and dog trainers assigned to the mission—revealed that Laika had died 5 to 7 hours after launch from a combination of heat and stress. The capsule had overheated, probably as a result of the rushed preparation; after the fourth orbit, the temperature inside Sputnik was over 90 degrees, and it's doubtful she could have survived much past that. "The more time passes, the more I'm sorry about it. We shouldn't have done it," Gazenko said. "We did not learn enough from the mission to justify the death of the dog."
Yet even the four or five orbits that Laika did complete were enough to spur scientists to press on in the effort to send a human into space.
2) HAM THE CHIMP
Four years after Laika's ill-fated flight, a chimpanzee named Ham entered suborbital flight in the American Project Mercury MR-2 mission on January 31, 1961, becoming the first hominid in space—and unlike Laika, he returned to Earth, alive, after a 16-minute flight.
Even though Ham's flight was not destined for orbit, the spacecraft and booster used on his trip were the same combination intended for the first (human) American's trip later that year. If he came back unharmed, NASA's medical team would be prepared to okay astronaut Alan Shepard's flight.
For approximately 18 months before liftoff, Ham was trained to perform simple tasks, like pushing levers, in response to visual and auditory cues. (If he failed, he received an electric shock; correct performance earned him a treat. Pavlov would have been pleased.)
At 37 pounds, Ham was also the heaviest animal to ever make it to space. His vital signs and movements were monitored from Earth, and after a light electric shock from the ground team reminded him of his tasks, he performed his lever-pushing just a bit slower than he had on Earth, verifying that motion would not be seriously impaired in space.
Less than three months after Ham returned to Earth, on April 12, 1961, Soviet cosmonaut Yuri Gagarin became the first human to complete an orbital flight; Shepard was close behind, successfully crewing the MR-3 mission on May 5. For his part, Ham "retired" to the National Zoo in Washington D.C. for 17 years, before being transferred to the North Carolina Zoological Park; he died of liver failure in 1983 at age 26. His grave is at the International Space Hall of Fame in New Mexico.
3) KOKO THE GORILLA
A western lowland gorilla born at the San Francisco Zoo, Hanabi-ko, or "Koko," became famous in the 1970s for her cognitive and communicative abilities. Psychologist Francine "Penny" Patterson, then a doctoral student at Stanford, chose Koko to work on a language research project, teaching her American Sign Language; by age four, Koko demonstrated the ability both to make up new words and to combine known words to express herself creatively, as opposed to simply mimicking her trainer.
Koko's work with Patterson reflected levels of cognition that were higher than non-human primates had previously been thought to have; by the end of her life, her language skills were roughly equivalent to a young child's, with a vocabulary of around 1,000 signs and the ability to understand 2,000 words of spoken English.
An especially impactful study in 2012 showed that Koko had learned to play the recorder, revealing an ability for voluntary breath control that scientists had previously thought was linked closely to speech and could only be developed by humans. Barbara J. King, a biological anthropologist, suggested that Koko's immersion in a human environment may have helped her develop such a skill, and that it might be misleading to consider similar abilities "innate" or lacking in either humans or non-human primates.
Koko's displays of emotions also fascinated the public, especially those that seemed to closely mirror humans': she cared for pet kittens; appeared on Mr. Rogers' Neighborhood and untied the host's shoes for him; acted playfully with Robin Williams during a visit from him, and later expressed grief when told about the comedian's death. Koko died in her sleep in June 2018, at age 46. Patterson continues to run The Gorilla Foundation, which is dedicated to using inter-species communication to motivate conservation efforts.
4) DOLLY THE SHEEP
Dolly—named after country singer Dolly Parton—was the first mammal ever to be cloned from an adult somatic cell, using the process of nuclear transfer. She was born in 1996 as part of research by scientists Keith Campbell and Ian Wilmut of the University of Edinburgh.
By taking a donor cell from an adult sheep's mammary gland, using it to replace the cell nucleus of an unfertilized, developing egg cell, and then bringing the resultant embryo to term, Campbell and Wilmut proved that even a mature cell (one that had developed to perform mammary gland functions) could revert to an embryonic state and go on to develop into any and all parts of a mammal.
Although cloned livestock are legal in the U.S.—the FDA approved the practice in 2008, after determining that there was no difference between the meat and milk of cattle, pigs, and goats—Dolly has had an even bigger impact on stem cell research. The successful test of nuclear transfer proved that it was possible to change a cell's gene expression by changing its nucleus.
Japanese stem cell biologist Shinya Yamanaka, inspired by the birth of Dolly, won the Nobel Prize in 2012 for his adaptation of the technique. He developed induced pluripotent stem cells (iPS cells) by chemically reverting mature cells back to an embryonic-like blank state that is highly desirable for disease research and treatment. This technique allows researchers to work with such stem cells without the ethically charged complication of having to destroy a human embryo in the process.
5) LAIKA THE PIG
Named in honor of the dog who made it to space, the second science-famous Laika was a genetically engineered pig born in China in 2015 as a result of gene editing carried out by Cambridge, MA startup eGenesis and collaborators.* eGenesis aims to create pigs whose organs—hearts, kidneys, lungs, and more—are safe to transplant into people.
Using animal organs in humans (xenotransplantation) is tricky: the immune system is very good at recognizing interlopers, and the human body can start to reject an organ from another species in as little as five minutes. But pigs are otherwise exceptionally good potential donors for humans: their organs' sizes and functions are very similar, and their quick gestation and maturation make them attractive from an efficiency standpoint, given that twenty Americans die every day waiting for organ donors.
Perhaps unsurprisingly, Dolly the sheep helped move xenotransplantation forward. In the 1990s, immunologist David Sachs was able to use a similar cloning method to eliminate alpha-gal, an enzyme that is produced by most animals with immune systems, including pigs—but not humans. Since our immune systems don't recognize alpha-gal, attacks on that enzyme are a major cause of organ rejection. Sachs' experiments increased the survival time of pig organs in primates to weeks: a huge improvement, but not nearly enough for someone in need of a liver or heart.
The advent of CRISPR technology, and the ability to edit genes, has allowed another leap. In 2015, researchers at eGenesis used targeted gene-editing to eliminate the genes for porcine endogenous retroviruses from pig kidney cells. These viral elements are part of all pigs' genomes and pose a potentially high risk of infecting human cells. (After the HIV/AIDS crisis especially, there was a lot of anxiety about potentially introducing a new virus into the human population.)
The eGenesis lab used nuclear transfer to embed the edited nuclei into egg cells taken from a normal pig; and Laika was born months later—without the dangerous viral genes. eGenesis is now working to make the organs even more humanlike, with the goal of one day providing organs to every human patient in need.
*[Disclosure: In 2019, eGenesis received a series B investment from Leaps By Bayer, the funding sponsor of leapsmag. However, leapsmag is editorially independent of Bayer and is under no obligation to cover companies they invest in.]
[Correction, March 3, 2020: Laika the gene-edited pig was born in China, not Cambridge, and eGenesis is pursuing xenotransplant programs that include heart, kidney, and lung, but not skin, as originally written.]
