Eight babies have been born in the UK thanks to a technology that uses DNA from three people: the two biological parents plus a third person who supplies healthy mitochondrial DNA. The babies were born to mothers who carry genes for mitochondrial diseases and risked passing on severe disorders. The eight babies are healthy, say the researchers behind the trial.
“Mitochondrial disease can have a devastating impact on families,” Doug Turnbull of Newcastle University, one of the researchers behind the study, said in a statement. “Today’s news offers fresh hope to many more women at risk of passing on this condition, who now have the chance to have children growing up without this terrible disease.”
The study, which makes use of a technology called mitochondrial donation, has been described as a “tour de force” and “a remarkable accomplishment” by others in the field. In the team’s approach, patients’ eggs are fertilized with sperm, and the DNA-containing nuclei of those cells are transferred into donated fertilized eggs that have had their own nuclei removed. The new embryos contain the DNA of the intended parents along with a tiny fraction of mitochondrial DNA from the donor, floating in the embryos’ cytoplasm.
“The concept of [mitochondrial donation] has attracted much commentary and occasionally concern and anxiety,” Stuart Lavery, a consultant in reproductive medicine at University College Hospitals NHS Foundation Trust, said in a statement. “The Newcastle team have demonstrated that it can be used in a clinically effective and ethically acceptable way to prevent disease and suffering.”
Not everyone sees the trial as a resounding success. While five of the children were born “with no health problems,” one developed a fever and a urinary tract infection, and another had muscle jerks. A third was treated for an abnormal heart rhythm. Three of the babies were born with a low level of the very mitochondrial-DNA mutations the treatment was designed to prevent.
Heidi Mertes, a medical ethicist at Ghent University, says she is “moderately optimistic.” “I’m happy that it worked,” she says. “But at the same time, it’s concerning … it’s a call for caution and treading carefully.”
Pavlo Mazur, a former embryologist who has used a similar approach in the conception of 15 babies in Ukraine, believes that trials like this one should be paused until researchers figure out what’s going on. Others believe that researchers should study the technique in people who don’t have mitochondrial mutations, to lower the risk of passing any disease-causing mutations to children.
Long time coming
The news of the births has been long awaited by researchers in the field. Mitochondrial donation was first made legal in the UK in 2015. Two years later, the Human Fertility and Embryology Authority (HFEA), which regulates fertility treatment and research in the UK, granted a fertility clinic in Newcastle the sole license to perform the procedure. Newcastle Fertility Centre at Life launched a trial of mitochondrial donation in 2017 with the aim of treating 25 women a year.
That was eight years ago. Since then, the Newcastle team have been extremely tight-lipped about the trial. That’s despite the fact that other teams elsewhere have used mitochondrial donation to help people achieve pregnancy. A New York–based doctor used a type of mitochondrial donation to help a Jordanian couple conceive in Mexico in 2016. Mitochondrial donation has also been trialed by teams in Ukraine and Greece.
But as the only trial overseen by the HFEA, the Newcastle team’s study was viewed by many as the most “official.” Researchers have been itching to hear how the work has been going, given the potential implications for researchers elsewhere (mitochondrial donation was officially made legal in Australia in 2022). “I’m very glad to see [the results] come out at last,” says Dagan Wells, a reproductive biologist at the University of Oxford who worked on the Greece trial. “It would have been nice to have some information out along the way.”
At the Newcastle clinic, each patient must receive approval from the HFEA to be eligible for mitochondrial donation. Since the trial launched in 2017, 39 patients have won this approval. Twenty-five of them underwent hormonal stimulation to release multiple eggs that could be frozen in storage.
Nineteen of those women went on to have mitochondrial donation. So far, seven of the women have given birth (one had twins), and an eighth is still pregnant. The oldest baby is two years old. The results were published today in the New England Journal of Medicine.
“As parents, all we ever wanted was to give our child a healthy start in life,” one of the mothers, who is remaining anonymous, said in a statement. “Mitochondrial donation IVF made that possible. After years of uncertainty this treatment gave us hope—and then it gave us our baby … Science gave us a chance.”
When each baby was born, the team collected a blood and urine sample to look at the child’s mitochondrial DNA. They found that the levels of mutated DNA were far lower than they would have expected without mitochondrial donation. Three of the mothers were “homoplasmic”—100% of their mitochondrial DNA carried the mutation. But blood tests showed that in the women’s four babies (including the twins), 5% or less of the mitochondrial DNA had the mutation, suggesting they won’t develop disease.
A mixed result
The researchers see this as a positive result. “Children who would otherwise have inherited very high levels are now inheriting levels that are reduced by 77% to 100%,” coauthor Mary Herbert, a professor of reproductive biology at Newcastle University and Monash University, told me during a press briefing.
But three of the eight babies had health symptoms. At seven months, one was diagnosed with a rare form of epilepsy, which seemed to resolve within the following three months. Another baby developed a urinary tract infection.
A third baby developed “prolonged” jaundice, high levels of fat in the blood, and a disturbed heart rhythm that required treatment. The baby seemed to have recovered by 18 months, and doctors believe that the symptoms were not related to the mitochondrial mutations, but the team members admit that they can’t be sure. Given the small sample size, it’s hard to make comparisons with babies conceived in other ways.
And they acknowledge that a phenomenon called “reversal” is happening in some of the babies. In theory, the children shouldn’t inherit any “bad” mitochondrial DNA from their mothers. But three of them did. The levels of “bad” mitochondrial DNA in the babies’ blood ranged between 5% and 16%. And they were higher in the babies’ urine—the highest figure being 20%.
The researchers don’t know why this is happening. When an embryologist pulls out the nucleus of a fertilized egg, a bit of mitochondria-containing cytoplasm will inevitably be dragged along with it. But the team didn’t see any link between the amount of carried-over cytoplasm and the level of “bad” mitochondria. “We continue to investigate this issue,” Herbert said.
“As long as they don’t understand what’s happening, I would still be worried,” says Mertes.
Such low levels aren’t likely to cause mitochondrial diseases, according to experts contacted by MIT Technology Review. But some are concerned that the percentage of mutated DNA could be higher in different tissues, such as the brain or muscle, or that the levels might change with age. “You never know which tissues [reversal] will show up in,” says Mazur, who has seen the phenomenon in babies born through mitochondrial donation to parents who didn’t have mitochondrial mutations. “It’s chaotic.”
The Newcastle team says it hasn’t looked at other tissues, because it designed the study to be noninvasive.
There has been at least one case in which similar levels of “bad” mitochondria have caused symptoms, says Joanna Poulton, a mitochondrial geneticist at the University of Oxford. She thinks it’s unlikely that the children in the trial will develop any symptoms but adds that “it’s a bit of a worry.”
The age of reversal
No one knows exactly when this reversal happens. But Wells and his colleagues have some idea. In their study in Greece, they looked at the mitochondrial DNA of embryos and checked them again during pregnancy and after birth. The trial was designed to study the impact of mitochondrial donation for infertility—none of the parents involved had genes for mitochondrial disease.
The team has seen mitochondrial reversal in two of the seven babies born in the trial, says Wells. If you put the two sets of results together, mitochondrial donation “seems to have this possibility of reversal occurring in maybe about a third of children,” he says.
In his study, the reversal seemed to occur early on in the embryos’ development, Wells says. Five-day-old embryos “look perfect,” but mitochondrial mutations start showing up in tests taken at around 15 weeks of pregnancy, he says. After that point, the levels appear to be relatively stable. The Newcastle researchers say they will monitor the children until they are five years old.
People enrolling in future trials might opt for amniocentesis, which involves sampling blood from the fetus’s amniotic sac at around 15 to 18 weeks, suggests Mertes. That test might reveal the likely level of mitochondrial mutations in the resulting child. “Then the parents could decide what to do,” says Mertes. “If you could see there was a 90% mutation load [for a] very serious mitochondrial disease, they would still have an option to cancel the pregnancy,” she says.
Wells thinks the Newcastle team’s results are “generally reassuring.” He doesn’t think the trials should be paused. But he wants people to understand that mitochondrial donation is not without risk. “This can only be viewed as a risk reduction strategy, and not a guarantee of having an unaffected child,” he says.
And, as Mertes points out, there’s another option for women who carry mitochondrial DNA mutations: egg donation. Donor eggs fertilized with a partner’s sperm and transferred to a woman’s uterus won’t have her disease-causing mitochondria.
That option won’t appeal to people who feel strongly about having a genetic link to their children. But Poulton asks: “If you know whose uterus you came out of, does it matter that the [egg] came from somewhere else?”
No one knows exactly how AI will transform our communities, workplaces, and society as a whole. Because it’s hard to predict the impact AI will have on jobs, many workers and local governments are left trying to read the tea leaves to understand how to prepare and adapt.
A new interactive report released today by the Brookings Institution attempts to map how embedded AI companies and jobs are in different regions of the United States in order to prescribe policy treatments to those struggling to keep up.
While the impact of AI on tech hubs like San Francisco and Boston is already being felt, AI proponents believe it will transform work everywhere, and in every industry. The report uses various proxies for what the researchers call “AI readiness” to document how unevenly this supposed transformation is taking place.
Here are four charts to help understand where that could matter.
1. AI development is still highly focused in tech hubs.
Brookings divides US cities into five categories based on how ready they are to adopt AI-related industries and job offerings. To do so, it looked at local talent pool development, innovations in local institutions, and adoption potential among local companies.
The “AI Superstars” above represent, unsurprisingly, parts of the San Francisco Bay Area, such outliers that they are given their own category. The “Star AI Hubs,” on the other hand, include large metropolitan areas known for tech work, including Boston, Seattle, and Miami.
2. Concentration of workers and startups is highly centralized, too.
The data shows that the vast majority of people working with AI and startups focused on AI are clustered in the tech hubs above. The report found that almost two-thirds of workers advertising their AI skills work there, and well over 75% of AI startups were founded there. The so-called “Star AI Hubs,” from the likes of New York City and Seattle down to Columbus, Ohio, and Boulder, Colorado, take up another significant portion of the pie.
It’s clear that most of the developments in AI are concentrated in certain large cities, and this pattern can end up perpetuating itself. According to the report, though, “AI activity has spread into most regional economies across the country,” highlighting the need for policy that encourages growth through AI without sacrificing other areas of the country.
3. Emerging centers of AI show promise but are lacking in one way or another.
Beyond the big, obvious tech-hub cities, Brookings claims, there are 14 regions that show promise in AI development and worker engagement with AI. Among these are cities surrounding academic institutions like the University of Wisconsin in Madison or Texas A&M University in College Station, and regional cultural centers like Pittsburgh, Detroit, and Nashville.
However, according to Brookings, these places are lacking in some respect or another that limits their development. Take Columbia, South Carolina, for example. Despite a sizable regional population of about 860,000 people and the University of South Carolina right there, the report says the area has struggled with talent development; relatively few students graduate with science and engineering degrees, and few showcase AI skills in their job profiles.
On the other hand, the Tampa, Florida, metropolitan area struggles with innovation, owing in large part to lagging productivity of local universities. The majority of the regions Brookings examined struggle with adoption, which in the report is measured largely by company engagement with AI-related tools like enterprise data and cloud services.
4. Emerging centers are generally leaning toward industry or government contracts, not both.
Still, these emerging centers show plenty of promise, and funders are taking note. To measure innovation and adoption of AI, the report tallies federal contracts for AI research and development as well as venture capital funding deals.
If you examine how these emerging centers are collecting each, it appears that many of them are specializing as centers for federal research, like Huntsville, Alabama, or places for VC firms to scout, like the Sacramento area in California.
While VC interest can beget VC interest, and likewise for government, this may give some indication of where these places have room to grow. “University presence is a tremendous influence on success here,” says Mark Muro, one of the authors of the report. Fostering the relationship between academia and industry could be key to improving the local AI ecosystem.
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.
Google’s generative video model Veo 3 has a subtitles problem
As soon as Google launched its latest video-generating AI model at the end of May, creatives rushed to put it through its paces. Released just months after its predecessor, Veo 3 allows users to generate sounds and dialogue for the first time. It sparked a flurry of hyperrealistic eight-second clips stitched together into ads, ASMR videos, imagined film trailers, and humorous street interviews.
But others quickly found that in some ways the tool wasn’t behaving as expected. When it generates clips that include dialogue, Veo 3 often adds nonsensical, garbled subtitles, even when the prompts it’s been given explicitly ask for no captions or subtitles to be added. And getting rid of them isn’t straightforward—or cheap. Read the full story.
—Rhiannon Williams
MIT Technology Review Narrated: This rare earth metal shows us the future of our planet’s resources
We’re in the middle of a potentially transformative moment. The materials we need to power our world are beginning to shift from fossil fuels to energy sources that don’t produce the greenhouse-gas emissions changing our climate. Metals discovered barely more than a century ago now underpin the technologies we’re relying on for cleaner energy, and not having enough of them could slow progress.
Take neodymium, for example. Its potential future reveals many of the challenges we’ll likely face across the supply chain for materials in the coming century and beyond.
This is our latest story to be turned into a MIT Technology Review Narrated podcast, which we’re publishing each week on Spotify and Apple Podcasts. Just navigate to MIT Technology Review Narrated on either platform, and follow us to get all our new content as it’s released.
The must-reads
I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.
1 OpenAI is developing agents designed specifically for work
In a direct challenge to Microsoft apps like PowerPoint and Excel. (The Information $)
+ The whole of OpenAI runs on Slack, apparently. (Insider $)
+ Are we ready to hand AI agents the keys? (MIT Technology Review)
2 Congress is poised to reject most of the White House’s proposed NASA cuts
As well as postponing its plans to cancel the Space Launch System rocket and Orion spacecraft. (Ars Technica)
3 Grok’s AI companions are already going haywire
They’ve no qualms talking about topics like sex or how to bomb a school. (TechCrunch)
+ The pair demonstrate Elon Musk’s willingness to push the boundaries of taste. (NBC News)+ It’s likely that Grok has been trained on the worst parts of the internet. (CNN)
+ Inside the Wild West of AI companionship. (MIT Technology Review)
4 AI could find cures to diseases using drugs we already have
It may be time to repurpose what we know. (New Yorker $)
+ An AI-driven “factory of drugs” claims to have hit a big milestone. (MIT Technology Review)
5 China is pumping billions into becoming an AI power player
Local governments are building entire neighborhoods to act as startup incubators. (NYT $)
+ Meanwhile, Trump is creating an AI hub in Pennsylvania. (WSJ $)
6 Silicon Valley’s super-babies are on the way
One startup claims to be able to sequence an embryo’s entire genome. (WP $)
+ Beyond gene-edited babies: the possible paths for tinkering with human evolution. (MIT Technology Review)
7 How the Earth’s magnetic crust could improve airplane navigation
It’s likely to be more reliable than GPS, for one. (WSJ $)
8 We’re entering the era of hyper-personalized AI slop
Coming to a Facebook feed near you.(404 Media)
9 You don’t need to take weight-loss drugs consistently
Patients who take it sporadically can still lose weight. (New Scientist $)
10 This UK startup wants to give non-alcoholic drinks a buzz 
It’s working on a molecule to mimic the high of a few drinks without the hangover. (Bloomberg $)
Quote of the day
“I’m doing the equivalent of vibe coding, except it’s vibe physics.”
—Travis Kalanick, the founder of Uber, explains how he’s using xAI’s Grok to come “pretty damn close to some interesting breakthroughs” in the field of physics, Gizmodo reports.
One more thing
How Indian health-care workers use WhatsApp to save pregnant women
Across India, an all-women cadre of 1 million community health-care workers are responsible for making public health care accessible to people from remote areas and marginalized communities.
These workers counsel pregnant women and ensure they receive proper science-backed health care. Many are turning to WhatsApp as a means to combat the medical misinformation that is rampant across the country and to navigate sensitive medical situations, particularly regarding pregnancy. Their approach has surprisingly good results. Read the full story.
—Sanket Jain
We can still have nice things
A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line or skeet ’em at me.)
+ Britain’s greatest export? Possibly its gravy.
+ How a luxury condo building in Manhattan ended up sloping sideways (New Yorker $)
+ The Emmy nominations are out! But who’s been snubbed?
+ The Tony Hawk’s Pro Skater 3 + 4 reboots are proving extremely controversial—after only 10 songs on their legendary soundtracks made the cut.
This could be an important brnading opportunity for the app.
A heap of valuable pointers for your LinkedIn marketing efforts.
Though it’s ChatGPT that leads the overall chart.
Meta looks to be updating its age-checking requirements, as more regions consider teen access restrictions.
