Genome Wide Analysis Broadens Genetic Knowledge of Anxiety

A large European meta-analysis led by King’s College London has revealed 39 new areas of the genome linked to symptoms of anxiety and provided new estimates of heritability of this common condition.

Writing in Nature Human Behaviour, the researchers explain they found 80 variants linked to anxiety in 74 specific areas of the genome, but 35 were already known to be linked to the disorder from previous research.

“These correlations highlight the interconnection between mental and physical health,” said Brittany Mitchell, PhD, a senior researcher at the QIMR Berghofer medical research institute and co-first author on the study in a press statement.

“Importantly, while some shared genetic variants may increase risk for both a physical health condition and more severe anxiety symptoms, it’s also true that living with chronic pain or illness can contribute to anxiety symptoms. Our findings don’t reveal causation or the direction of effect, but they do open up important questions for future research.”

Anxiety disorders are very common mental health conditions across the globe with large variations in severity from mild to debilitating. Previous research has attempted to assess the genetic heritability of anxiety but estimates of how heritable this condition is vary widely.

In this study, genetic data from 14 cohorts of people with generalized anxiety symptoms assessed via self-report questionnaires between 2007 and 2023 was combined to carry out a large meta-analysis of 693,869 people. Most of the cohorts were largely made up of people of European ancestry, for example, the UK Biobank, and mostly came from Europe or North America.

In addition to finding the new variants, the team also created a polygenic risk score for anxiety aggregating genome-wide SNP effects. Overall, the estimated SNP-based heritability was around 6% and the team estimated that about 1-3% of variance in anxiety symptom severity could be attributed to genetics according to the polygenic risk score.

Notably the research also highlighted some links between the genetics of anxiety and other conditions like irritable bowel syndrome, coronary artery disease, and migraine.

“Given the high and rising rates of anxiety, especially in young adults, it is more important than ever to improve our ability to identify and understand sources of risk,” write the authors.

“Despite its public health impact, progress in anxiety genetics lags behind other major mental health conditions. We hope our findings encourage genome-wide investigations leveraging existing but potentially underutilized anxiety severity data in genotyped cohorts, accelerating our progress in understanding the genetic architecture of anxiety.”

The post Genome Wide Analysis Broadens Genetic Knowledge of Anxiety appeared first on Inside Precision Medicine.

David Sinclair plans to test whole-body rejuvenation drugs in the XPrize competition

The outspoken longevity scientist David Sinclair has been predicting that one day, you’ll go to the doctor and get a prescription that will make you 10 years younger.

Now MIT Technology Review has learned that he has plans to launch human tests of an oral “reprogramming” drug as part of a $101 million competition organized by the XPrize Foundation. 

The foundation is offering cash awards to teams able to “restore” a person to an earlier apparent age, as measured by improvements in immune, cognitive, and muscle function. 

The grand prize goes to any team able to show a 10-year (or greater) relative improvement after one year of treatment. 

Reached by phone, Sinclair, a biologist at Harvard Medical School, confirmed that he plans to give an oral drug mixture to volunteers in a bid to seek “evidence for age restoration in humans.”

The trial, if it goes forward, will be a significant new development in the race to harness so-called epigenetic reprogramming. That technology is based on the discovery, 20 years ago, of powerful genes able to turn an adult cell into a stem cell similar to those found in embryos.

The age-reversal effect is believed to occur via a resetting of molecular controls on DNA known as epigenetic marks, which help determine a cell’s overall metabolism and identity.

Companies are now racing to use that phenomenon for a new form of rejuvenation medicine. Only this January, one of Sinclair’s companies, Life Biosciences, made news by winning approval to launch an initial human trial using a set of powerful reprogramming genes. The company announced today it had treated its first patient. 

But that test involves a complex gene therapy and is limited to patients’ eyes, where it could treat conditions like glaucoma. 

Sinclair’s new plan is bolder: a reprogramming drug you’d swallow in order to promote such effects across the body. 

“What we’re aiming to do is to epigenetically restore the animal and eventually the person,” he says. “It is true that we’ve been doing extensive animal studies with the oral agent and are looking to compete in the XPrize.”

This alternative method, chemical reprogramming, uses drugs to mimic the effects of the embryonic genes. That is significant because drug compounds can travel through the bloodstream, reaching most or all cells in a person’s body. 

Some experts expressed caution, saying the chemical process, at least as used in labs, is extremely harsh and not even particularly effective. “Who doesn’t dream of whole-body rejuvenation? I think it’s a great goal,” says Sergiy Velychko, founder of Soxogen, a stealth reprogramming company in Boston. “But these chemicals are used in very, very high concentrations for cell reprogramming.”

Sinclair declined to describe the exact makeup of the drug candidate, code-named SL-100, calling its contents “highly, highly confidential.”

However, he has previously published lab studies of what he called “epigenetic age-reversal cocktails,” which mixed powerful chemicals with known supplements and commercially available medicines. 

It’s those latter components that would be easiest to test on people, since doctors are free to prescribe them, even for unusual objectives like age reversal. James Clement, head of Betterhumans, an organization that specializes in life-extension studies using existing drugs, said in a message that he is “running clinical trials” of an oral reprogramming cocktail for Sinclair’s XPrize team.

Sinclair’s team is competing in the XPrize Healthspan Competition, launched in 2023. It follows several previous competitions that focused on commercial spaceflight, lunar landings, and other goals. The XPrize Foundation is led by executive chairman Peter Diamandis, also an active promoter of longevity research.

“If two teams are equivalent, they would split the award,” says Jamie Justice, a doctor and executive director for the contest, which was bankrolled by Saudi Arabia’s Hevolution Foundation, “But it will be incredibly hard to even get to one winner.”

Justice says a judging panel is now in the process of picking 10 finalists from 65 teams that have been exploring health foods, lifestyle interventions, digital trackers, and drug compounds. 

Sinclair’s team, Justice says, was a late entrant to the contest, but like all teams, it would be required to move into wider human tests starting this year. “You have to be ready and in trials,” she says.

The race to harness the reprogramming phenomenon and apply it to living people is heating up, even outside the XPrize competition. On June 2, a startup called NewLimit, founded by the crypto billionaire Brian Armstrong, said it had raised a further $435 million, from investors including Peter Thiel’s Founders Fund, to support what it calls “age reprogramming.” 

The company says it is working toward delivering genetic reprogramming instructions to the liver, to treat diseases of that organ.

But Sinclair has been saying that whole-body rejuvenation is a possibility too. And for that, chemicals, rather than gene therapy, could be the most practical strategy. 

Sinclair says his lab has been searching for such compounds and is starting to use AI “to improve the oral agents that we’re testing.”

Chemical reprogramming cocktails, as used in labs, typically involve a mix of vitamins, approved drugs, and experimental molecules. For instance, one recipe Sinclair filed a patent on includes the supplement forskolin,  the antidepressant tranylcypromine, and an experimental chemical, laduviglusib, which has been tested against Alzheimer’s, among other ingredients.

“In those days it was a six-factor cocktail,” Sinclair says of his earlier research. “But we’ve come a long way. I can’t disclose what’s in it, but it’s an improvement and an advance on that, and we’ve done a number of animal studies. They are not published, but we’ve been doing them for a long time, and we want to make sure that we’ve done a full investigation of safety and efficacy before we release any of the data.”

While Sinclair’s results aren’t published, other teams say attempts to reverse the age of entire animals using chemical drugs haven’t worked yet. Last year, the lab of Vadim Gladyshev, another Harvard biologist and a member of a different XPrize team, reported on its attempt to rejuvenate mice by installing pumps in their bodies that released controlled doses of seven compounds.

Gladyshev says the procedure proved to be toxic. “The idea was to see if we could rejuvenate whole animals. Unfortunately, we have not found [the right] conditions,” he says. “At low concentrations there was no effect, and high concentrations were toxic.”

Gladyshev says he doesn’t know what is in Sinclair’s cocktail, but says that “trying to improve the combinations makes sense.”

Sinclair, who is the author of several books on aging and has a large social media following, has frequently been criticized by other scientists for making unproven rejuvenation claims. 

In 2024, he resigned as president of the Academy for Health and Lifespan Research after claiming that a supplement developed by a company his brother runs had “reversed” the age of dogs, a claim for which there was so little evidence that one scientist called it a “lie.”

Part of the problem is that scientists still disagree on how to measure aging. And they don’t have a reliable way to measure age reversal, either, should it ever be achieved.

Justice, the XPRIZE director, says a primary purpose of the competition is to solve that problem by encouraging the development of standardized measures of aging. That is so that anti-aging drugs can be assessed reliably, and, one-day, approved by regulators if they work.

 “We as a scientific field have been forced to ask, ‘If a medicine improves how we age, how would we know?” Justice said during a public meeting with FDA officials in May. “If something worked, what would convince us as scientists, what’s meaningful to the general public?”

Finalists in the Healthspan competition will be announced in August.

Five things you need to know about AI

At SXSW London last week I gave a talk called “Five things you need to know about AI,” in which I shared what I think are the biggest themes in AI right now.

I pulled a few things from our first AI10 list, an annual guide to the most important trends in this buzzy world, but I also veered off on a number of tangents. In my half-hour slot, I tried to cover the key talking points that I think help to make sense of what’s going on in tech—and thus the economy—today.  

(I gave a talk with the same title at SXSW London last year with five different things you needed to know. A lot has happened since then!)

So: This is how I’m thinking about AI midway through 2026. Let me know if you would pick different points!

1. Strictly speaking, I didn’t need to show up to give this talk.

Tongue in cheek? Maybe. But generative AI tools have already become mundane, used by millions to automate everyday office tasks (including producing and delivering talks). It’s no surprise that one of the biggest questions out there right now is what this all means for jobs. People are confused and scared.

The frustrating answer is that despite the hype coming from the top about the potential for AI to join the workforce soon—and viral social media posts yelling that something big is happening—there is almost no data to say either way what kind of effect this technology will have on employment and the economy overall. That’s not to say it won’t have an impact, even a huge one, but it’s just too soon to tell.

In theory, teams of agents working together toward common goals could become assembly lines for white-collar work, doing to offices this century what Henry Ford’s innovations did to factories in the 20th century.

In theory. Because in order to know what will happen to jobs, we need to know what will happen inside the companies that create those jobs. But most companies are still figuring that out.

 2. AI is getting scary (for real this time).

There have been scary stories about AI for years—claims that it will kill us all or bring about the end of civilization. There’s still a loud crowd of doomers, but those scenarios remain dystopian science fiction.

What’s happened instead is that many of the worst near-term, real-world fears have come true.

Take deepfakes, AI-generated images or videos of people doing things they didn’t actually do. Deepfakes have been used to incite violence, swing votes, and sow distrust. Trump’s White House is among those creating and publishing fake images.

Many deepfakes are also used to abuse women and girls. One study found that 98% of deepfakes are pornographic and 99% involve women.

Another concern is the rise of dangerous and delusional relationships with chatbots. Many people turn to chatbots to seek private advice and to feel heard. But there are now multiple lawsuits against AI companies alleging that the technology encouraged or aided suicides and other forms of self-harm.

AI is also being used in warfare in new and worrying ways. LLMs are now giving advice, not just being used for analysis. One US defense official told my colleague James O’Donnell that you could now give a military chatbot a list of targets and ask which one to hit first. Anyone who uses AI knows that its output needs to be reviewed carefully. In fact-paced, high-stress active conflict, the risk that corners get cut is high.

3. A lot of people really hate AI.

I checked out an anti-AI protest in London earlier this year and found a very broad mix of complaints. Banners proclaiming the end times bounced along to chants of “Stop the slop! Stop the slop!” Protests are getting more organized and drawing larger crowds.

There’s pushback from fans of films and video games, who object to the use of generative AI in their favorite titles. In one notable case, the acclaimed 2025 game Clair Obscur was stripped of an award when the developers admitted to using AI in just one small, specific part of its production.

And there’s the data center backlash. The US has more than 5,400 data centers and counting. With the energy demands of AI growing, people are unhappy about the environmental impact and their rising electricity bills. Activists are managing to stall development in a number of places.

Regulation is becoming politically popular. Grassroots movements like QuitGPT have gained momentum. A small number have turned to violence; a few weeks ago somebody threw a Molotov cocktail at Sam Altman’s house. It’s not clear where all this leads. But the apocalyptic hype from tech leaders is not helping people stay calm.

4. AI for science is a very big deal.

It’s early days yet, but the potential for AI to help make a genuine and important scientific discovery is greater than ever.

Google DeepMind has developed Co-Scientist, a multipurpose tool that can help researchers dig up and compare previous results, generate hypotheses, and devise experiments to test them. OpenAI told me this year that its North Star is the goal of building a fully automated researcher by 2028.

Mathematicians are excited too. Fundamental math underpins many everyday technologies, from internet security to video streaming. The last few months have seen a string of claims that AI has cracked unsolved math problems. And software that can solve really hard math problems will be able—so the argument goes—to solve more general-purpose real-world problems too.

What are the downsides? Some scientists are warning that an overreliance on AI tools could narrow the scope of research because scientists may choose problems that are most suited to AI assistance. There are also concerns that AI-assisted research will lead to a flood of inaccurate or fake results: science slop.

5. AI is everywhere all at once.

So where does that leave us? There are a lot of exciting things, a lot of worrying things, and a lot of hot air. It can be exhausting to keep up, and yet it all feels inescapable. Some people will tell you we’re in a race to the top; some will tell you we’re in a race to the bottom. But it’s really not clear where we’re headed.

AI companies want us to march to their tune and buy into the propaganda about artificial general intelligence, whatever that means. They are selling a vision that feels inevitable, but it isn’t.

We’ve built a technology that can do humanlike things, and I think that makes it hard to get our heads around the fact that it is still just a technology.

Something is happening. Maybe even something comparable to the invention of electricity or the internet. But technologies like that take time to settle and bring lasting change.

Get ready for a marathon, not a sprint.

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here.

Opinion: Ending animal testing could set back xenotransplantation just as the field is poised for a breakthrough

Health secretary Robert F. Kennedy Jr. seeks to end all federally funded animal testing after concluding that “the predictivity of animal models is very, very poor for human health outcomes.”

In November 2025, Centers for Disease Control and Prevention staff were told that the agency would be required to phase out primate studies, and they are in the process of transferring their animals to a primate sanctuary. The National Institutes of Health, the largest funder of biological sciences in the U.S., has stopped issuing funding opportunities exclusively for animal models, sending a clear message that basic science conducted in animals small and large will no longer be a priority. Of the eight NIH-funded National Primate Research Centers in the U.S., one has been shuttered, and a second is exploring the possibility of converting to an animal sanctuary.

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STAT+: Wearables, and the flood of data they generate, inch closer to entering the clinic

A major selling point for wearable devices is the promise that they’ll help identify hidden health conditions before they lead to major harm. But a nagging issue has been the connection to clinician guidance when a smartwatch or ring raises the alarm.

To help address this issue, wearable makers Oura and Whoop recently announced they’ll make it possible for users to connect virtually with doctors directly from their apps. While the move could represent the first step in the long-awaited adoption of consumer health data by traditional clinical care, experts cautioned that the bar for data in clinical decision-making is higher than for simple wellness purposes. The Food and Drug Administration has only authorized a handful of wearable features for clinical use, and the evidence base for using wearable data to inform medical care is nascent. Widespread use by clinicians will take considerably more work.

“This was an inevitable development,” said Ida Sim, a physician and professor at the University of California, San Francisco, who studies how to make best use of consumer health data. “We’ve got these sensors that have ostensibly valuable data … but we haven’t even begun to tap into the real clinical value.”

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Opinion: Why STAT is sticking with ‘health care’ as two words

After the Associated Press Stylebook made the startling decision in April to shift from “health care” to “healthcare,” it set off a fierce debate not only in the STAT newsroom, where we use a lightly modified version of AP style, but among our readers.

As STAT’s director of editorial operations and a longtime copy editor, I consulted with my colleagues and also asked for readers’ help. The fight over a single space, which has raged for years, might look a little silly from the outside, and maybe it is. But it’s taken on perhaps outsize importance, and many people, including me, have strong feelings on the matter.

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STAT+: Trump’s health care affordability czar touts Medicaid cuts to hospital leaders

NATIONAL HARBOR, Md. — Hospital finance leaders rolled out the red carpet for the Trump administration’s new health care affordability czar at an industry conference on Monday. He promptly took the main stage to champion Medicaid cuts that threaten their bottom lines. 

Casey Mulligan, appointed by Robert F. Kennedy Jr. as the Department of Health and Human Services’ chief economist and chief regulatory officer in April, spent most of his speech at the Healthcare Financial Management Association’s conference praising the One Big Beautiful Bill Act’s cuts to state-directed payments, which the government projects could save $510 billion over 10 years. 

State-directed payments work by first taxing Medicaid providers like hospitals and nursing homes, using that money to obtain federal Medicaid match dollars, and then redistributing the money to providers, often giving them more than they paid in taxes. Since 2024, some providers have gotten reimbursed at much higher commercial rates. The One Big Beautiful Bill Act will gradually trim those payments beginning in 2028 until they’re close to or on par with Medicare rates. 

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A leader of the 2014 U.S. Ebola response compares then to now

In October 2014, when the Centers for Disease Control and Prevention warned that the Ebola outbreak in West Africa risked infecting 1.4 million Africans by 2015, Susan Reichle was the counselor to USAID in Washington, D.C. At the time, the CDC mounted the largest response in history, and for the first time in an Ebola outbreak. USAID was involved in the response, too.

It was a very different situation compared to the current outbreak in the Democratic Republic of the Congo and Uganda. In 2014, the world learned about the outbreak when there were 49 confirmed cases, and it took two-and-a-half months to get to 300 cases. This time, there were already hundreds of suspected cases by the time the CDC began its response, and 300 confirmed cases were reached within two weeks.

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