Wednesday, September 10, 2025

 

Extreme life inside the Arctic ice



Stanford University
diatom 

image: 

Image of an Arctic diatom, showing the actin filaments that run down its middle and enable its skating motion.

view more 

Credit: Prakash Lab





If you pull an ice core from the outer edges of the Arctic polar cap, you might spot what looks like a faint line of dirt. Those are diatoms – single-celled algae with outer walls made of glass. Their presence in ice isn’t new, but because they seemed trapped and dormant, few bothered to study them.

But new research from Stanford, published Sept. 9 in Proceedings of the National Academy of Sciences, revealed Arctic diatoms aren’t immobile or entombed. They’re not just surviving either – they’re gliding into the record books.

“This is not 1980s-movie cryobiology. The diatoms are as active as we can imagine until temperatures drop all the way down to -15 C, which is super surprising,” said Manu Prakash, associate professor of bioengineering in the Schools of Engineering and Medicine and senior author of the paper.

That temperature (5 F) is the lowest ever recorded for movement by a eukaryotic cell – the type of complex cells in plants, animals, fungi, and more, defined by having a nucleus inside a membrane.

“You can see the diatoms actually gliding, like they are skating on the ice,” said lead author and Stanford postdoctoral scholar Qing Zhang, who collected the samples during an Arctic research expedition. She and her colleagues demonstrated not only motility at such low temperatures, but also that their gliding – or skating – relies on a combination of mucus and molecular motors.

Navigating a bustling ’berg

The diatoms featured in this research resulted from a 45-day Arctic expedition in the Chukchi Sea aboard the research vessel Sikuliaq, which is owned by the National Science Foundation and operated by the University of Alaska Fairbanks. Researchers from the Prakash Lab and the lab of Kevin Arrigo, professor of Earth system science in the Stanford Doerr School of Sustainability, collected ice cores from 12 stations throughout the summer of 2023. Using a range of on-ship microscopes that the Prakash Lab has been developing for years, the team was able to image inside ice and document the secret lives of these incredible arctic diatoms.

Back in the lab, the team extracted diatoms from the ice cores and recreated their environments in a petri dish containing a thin layer of frozen freshwater and a layer of very cold saltwater. When ice forms in the Arctic, it kicks out salt, leaving freshwater ice with small microfluidic channels in it – so the lab also made channels in their ice, using their own hair.

Even as they lowered the temperatures of a special sub-zero microscope below freezing, the diatoms slipped through the strand-sized highways. Further experiments, using gels seeded with fluorescent beads, tracked their movements like footprints in sand.

The researchers developed and used special microscopes and experimental environments to track how the diatoms move through ice. | Prakash Lab

What’s so surprising is the diatoms cruised along without wiggling, scrunching, or use of any appendages. Instead, they practice the art that many diatoms display: gliding.

“There’s a polymer, kind of like snail mucus, that they secrete that adheres to the surface, like a rope with an anchor,” said Zhang. “And then they pull on that ‘rope’ and that gives them the force to move forward.”

The mucilage rope mechanism depends on actin and myosin – the same biological system that drives human muscle movements. How that machinery still works in subzero conditions is now a key research question the lab is pursuing. When the team compared Arctic diatoms with temperate relatives gliding along glass, the polar species moved much faster, hinting at an evolutionary advantage.

The bigger picture

The Prakash Lab made the most of their time in the Arctic and gathered an abundance of data on multiple projects, in addition to diatoms. That includes drone footage, taken under the ice, that vividly displays the potential of this work.

“The Arctic is white on top but underneath, it’s green – absolute pitch green because of the presence of algae,” said Prakash. “In some sense, it makes you realize this is not just a tiny little thing, this is a significant portion of the food chain and controls what’s happening under ice.”

The diatoms were gathered during an expedition aboard the research vessel Sikuliaq. During this trip, the researchers visited a dozen research stations and saw several polar bears. | Lexi Arlen, Stanford University

Knowing the diatoms are active raises broader questions about adaptation to a changing polar environment. Could they be moving resources through the Arctic food web, nourishing everything from fish to polar bears? Could their mucus trails even seed new ice formation, the way pearls form around grains of sand?

Normally, Prakash wouldn’t show his hand when it comes to these kinds of nascent ideas, but the stakes this time are different, he said.

“Many of my colleagues are telling me, in the next 25 to 30 years, there will be no Arctic. When ecosystems are lost, we lose knowledge about entire branches in our tree of life,” he said, noting that severe projected budget cuts to the National Science Foundation are predicted to reduce polar research funding by 70 percent. “I feel a sense of urgency in many of these systems, because, at the end of the day, the infrastructure and capacity to be able to operate is critical for discovery.”


For more information

Prakash is also a senior fellow at the Stanford Woods Institute for the Environment, associate professor, by courtesy, of biology and of oceans, a member of Stanford Bio-X, the Wu Tsai Human Performance Alliance, the Maternal & Child Health Research Institute, and the Wu Tsai Neurosciences Institute. Other authors include graduate student Hope T. Leng, Hongquan Li, PhD ’23, and Kevin Arrigo. Arrigo is the Donald and Donald M. Steel Professor of Earth Sciences, a senior fellow at the Stanford Woods Institute for the Environment, and a member of Bio-X.

This research was funded by the National Science Foundation, a Stanford VPGE DARE fellowship, the Human Frontier Science Program, the Moore Foundation, the Schmidt Foundation, and the Dalio Foundation. Part of this work was performed at the Cell Sciences Imaging Facility at Stanford University.

 

USC study shows how PFAS disrupt healthy function in human liver cells



Researchers exposed human liver cells to four common “forever chemicals,” revealing how they can promote fat buildup and trigger cancer-related changes, with effects that differ by sex.




Keck School of Medicine of USC





Per- and polyfluoroalkyl substances (PFAS), manmade chemicals that accumulate in the body over time, have been linked to liver disease and cancer, but it is not yet clear how they cause damage. Researchers from the Keck School of Medicine of USC used a lab model of the human liver to analyze changes at the cellular level, finding that some PFAS triggered fat accumulation and others caused cell damage linked to cancer. The study was just published in the journal Environment International.

The liver removes toxins from the blood, making it particularly vulnerable to PFAS, which enter the body through contaminated drinking water, food packaging and consumer products. While previous research has linked PFAS to liver problems in people and animal models, pinpointing the underlying biology has been more difficult.

In the present study, the researchers used spheroids, sophisticated 3D models that recreate the structure of the liver using cells from human donors. This approach gives a detailed view of cellular interactions and allows insights to move faster toward clinical applications. 

“We developed a new framework to analyze how PFAS affect the liver on a cellular and molecular level, where we exposed human liver cells to four types of PFAS in the lab, then measured changes in gene expression and fat buildup,” said Ana Maretti-Mira, PhD, assistant professor of research medicine at the Keck School of Medicine and the study’s senior author.

Each substance had a different effect on liver cells, but all four interfered with immune processes and disrupted communication between cells. Researchers also observed differences in how liver cells from male and female donors responded to PFAS exposure. The findings can help inform clinical trials aimed at reducing the harms of PFAS, but they also highlight the urgent need to limit individual exposure.

The study is part of the Southern California Superfund Research and Training Program for PFAS Assessment, Remediation and Prevention, or ShARP Center, a National Institutes of Health-funded effort that unites USC researchers to advance research and solutions for PFAS contamination.

Understanding the mechanism

To explore the link between PFAS and liver health at the cellular level, the researchers used liver spheroids, miniature models of the liver made from cells of 10 human donors (five male and five female). In the lab, they exposed the spheroids to four types of PFAS commonly found at high levels in the blood: perfluorooctanoic acid (PFOA), perfluorohexanesulfonic acid (PFHxS), perfluorooctanesulfonic acid (PFOS) and perfluorononanoic acid (PFNA). Each chemical was tested separately to determine its specific effects on liver cells.

After seven days of exposure, the researchers separated the spheroids into individual cells for analysis. They used single-cell RNA sequencing to analyze gene expression and a dye-based method to measure fat buildup in the spheroids under a microscope.

All four PFAS interrupted cell signaling and immune functions, but exact changes varied from one chemical to the next. Both PFOA and PFHxs increased fat accumulation—PFOA by causing cells to produce more fat and PFHxS by causing cells to retain fat.

“These are different cellular processes with the same result,” Maretti-Mira said. “Understanding the exact mechanism is what may ultimately allow us to design targeted interventions.”

Both PFOS and PFNA triggered cancer-related changes in cells, but PFNA had a stronger effect, increasing activity in cellular pathways related to inflammation, oxidative stress and DNA repair. Of the cells exposed to PFNA, 61.3% showed gene changes linked to cancer.

The researchers also found that liver cells from male and female donors responded differently to PFAS exposure. PFOA has stronger effects on female liver cells, while PFOS had stronger effects on cells from male donors. These findings suggest that the biological mechanisms of liver damage may vary by sex, which could point to different strategies for treatment.

Reducing harm from PFAS

A better understanding of how PFAS harm the liver is an important step toward developing targeted treatments. Some drugs, including those that regulate how the liver processes fat, are already approved by the U.S. Food and Drug Administration and could soon be tested for treating PFAS-related liver damage.

The findings also underscore the need to limit PFAS exposure, both through stronger regulations and individual actions, Maretti-Mira said.

“These chemicals change our bodies and we cannot wait for government regulations to take effect. Be aware of how you can be exposed and try to limit that exposure,” she said, including drinking only filtered water and avoiding nonstick cookware.

Maretti-Mira and her colleagues are now analyzing data from a follow-up study that tested the combined effects of PFOA, PFHxS, PFOS and PFNA on human liver cells.

About this research

In addition to Maretti-Mira, the study’s other authors are Lucy Golden-Mason, Chikako Matsuba and Yufen Wang from the Department of Medicine, Keck School of Medicine of USC, University of Southern California; Matthew P. Salomon from the Department of Cancer Biology, Keck School of Medicine of USC, University of Southern California; and Veronica Wendy Setiawan and Lida Chatzi from the Department of Population and Public Health Sciences, Keck School of Medicine of USC, University of Southern California.

This research was supported by the National Institute of Environmental Health Sciences Superfund Research Program [P42ES036506]; the National Institutes of Health [P30ES007048, R01DK117004, R01ES030691, R01ES029944, R01ES030364 and U01HG013288]; and the Advancing Tools for Human Early Life-course Exposome Research and Translation Project [874583].

 

 

Study: In interorganizational health care collaborations, stability of representation is key





Carnegie Mellon University






Interorganizational collaborations are increasingly used to tackle some of society’s most complex challenges. In health care, this takes many forms, such as strategic alliances, interorganizational networks, joint ventures, and public-private partnerships. The effectiveness of these collaborations hinges on participants pooling expertise toward the joint goal, but also on whether participants leverage each other’s expertise for their own organizations’ independent goals. The spillover of progress on those independent goals can sustain participation in the collaboration itself.

In a new study, researchers sought to gain a more thorough understanding of how participants of interorganizational collaborations can identify expertise that could be leveraged toward their organizations’ independent goals. Their findings, highlighting the importance of stability of the people involved (not just stability of the participating organizations), can inform the work of interorganizational health care alliances.

Conducted by researchers at Carnegie Mellon University and Santa Clara University, the study is published in Health Care Management Review.

“Despite the potential benefits of participation in interorganizational collaborations, research continues to show the difficulty of sustaining participants’ engagement, something that seems to improve when participants are getting a sort of spillover effect so they learn something relevant for their own organizational needs along the way,” notes Anna T. Mayo, assistant professor of organizational behavior at Carnegie Mellon’s Heinz College, who coauthored the study.

“That means the spillover is not just beneficial for independent goals. By sustaining engagement, it increases the effectiveness of the joint effort. Nevertheless, that spillover is often limited, and we wanted to better understand why.”

In their study, researchers examined the workings of a successful U.S. interorganizational health care alliance whose goal was to empower and accelerate the growth of leading clinical centers in their specialty. They conducted and analyzed interviews with 21 individuals involved in the alliance and triangulated their findings by analyzing seven years of the alliance’s records (e.g., meeting minutes).

Study findings suggest that the expertise that was available for one organization to leverage toward an independent goal was often hidden because it was not pertinent to the alliance’s joint goal. They found that relevant expertise was not merely a matter of participants paying attention to both the joint goal and their own independent goals—what would typically be recommended—but also to the other organizations independent goals and related expertise. Several key mechanisms emerged as likely to support that attention and ultimate leveraging: stability in alliance representatives (i.e., not the participating organizations, but the people representing them), interpersonal relationships, and formal mechanisms that guided attention to others’ independent goals like report-outs during a meeting.

“To the extent that the focus was on stability up to this point, it was on the stability of the participating organization,” explains Esther Sacket, assistant professor of management at Santa Clara University’s Leavey School of Business, who coauthored the study. “But this can breed a false sense of stability. Stable participation at the organizational level does not mean that the people involved in the collaboration are stable. Because of the interpersonal relationships formed, representatives from a particular organization are not interchangeable, and members of alliances should consider assigning a core person or group of people from their organization to participate consistently in the collaborative’s work. But if representative stability cannot be preserved, the loss of information might be mitigated by intraorganizational handoffs along with systems to keep track of expertise and goals, such as dashboards or repositories.”

Among the limitations of the study, the authors note the small sample and a need for additional work that could explore causal effects and test the utility of practices designed to bolster leveraging behavior.

 

USF study reveals how menopause impacts women’s voices – and why it matters



New research published in the journal Menopause paper details a wide range of treatment options – including AI



University of South Florida

Yael Bensoussan-3 

image: 

Yael Bensoussan in the USF Health Voice Center at the University of South Florida.

view more 

Credit: USF





Key takeaways:

  • Hormones matter for the voice: Falling estrogen and progesterone during menopause can cause hoarseness, vocal fatigue and instability, with major impact on singers, teachers, actors and other voice professionals.

  • An overlooked women’s health issue: Many women with vocal changes are dismissed or misdiagnosed, underscoring the need for stronger collaboration between gynecologists and voice specialists.

  • Promising new solutions: From AI-powered voice biomarkers to hormone therapy and vocal fold injections, innovative approaches are emerging to detect and treat menopause-related voice changes.

TAMPA, Fla. (Sept. 10, 2025) – A new University of South Florida study published in Menopause highlights a largely overlooked health issue: voice changes that many women experience during menopause, often triggered by falling levels of estrogen and progesterone.

The groundbreaking paper, led by Yael Bensoussan, MD, director of the USF Health Voice Center, and Rupal Patel, professor at Northeastern University, explains that those most at risk of unwanted voice changes — including roughness, hoarseness and loss of vocal stability — are women who rely on their voices professionally, such as teachers, actors and especially singers.

“Voice production is a complex physiological process requiring the precise coordination of multiple systems: respiration, phonation, articulation and resonance,” the authors wrote in the article, “Menopause and the voice: a narrative review of physiological changes, hormone therapy effects, and treatment options,” which published online today.

Even minor disruptions can affect vocal quality, the paper found. Vocal folds rely on musculature, pliability and airflow, while tension and elasticity of the cords play a key role in sound production. “Hormonal fluctuations play a critical role in maintaining the structural integrity of laryngeal tissues,” the authors wrote.

The team outlined a range of treatment options:

  • Voice therapy to reduce strain.
  • Hydration and steaming to address dryness of mucosal tissues.
  • Hormone therapy in collaboration with gynecology.
  • Bilateral vocal fold injections to restore clarity and volume.

They also highlight AI-powered voice biomarkers as a promising, noninvasive tool to detect subtle vocal changes linked to menopause.

“What needs to be done in the future is more research and more collaboration with gynecologists,” Bensoussan said. “And hopefully there will be more awareness to refer patients with these symptoms to a voice specialist, rather than saying, ‘Oh, it’s normal, don’t worry.’ And we need more research to understand at what level does giving hormones help the voice – and who should we give them to?”

Bensoussan, an assistant professor in Otolaryngology at the Morsani College of Medicine, is also leading NIH-funded research to build a database of human voices analyzed with AI to identify potential disease biomarkers.

Her interest in menopause-related voice issues grew directly from her patients.

“I was seeing a lot of middle-aged women just around menopause age, and they were coming in with very specific symptoms of rough voices, and dry coughs,” she said. “When we looked at their vocal cords with the little camera, we didn’t see anything abnormal. As a surgeon, I like to see something I can fix or remove. But these women just had tired voices, and that’s when I got really interested in the potential affect of hormones and what those do to change the voice.”

She recalls one singer whose teacher could tell when she was menstruating because her voice sounded different.

“Often these women – like many in women’s health – are dismissed and told ‘Oh, it’s reflux, oh it’s laryngitis, oh it’s nothing,’” Bensoussan said. “But a lot of these voice professionals are being dismissed because there’s not enough understanding that hormones have a huge impact on the voice.”

Another concern: testosterone therapy sometimes prescribed to menopausal women.

“Unfortunately, testosterone is a male hormone and one of the side effects is a ‘more masculine’ voice,” she said. “And these women are not counseled for that. So, they get to my office and, I can tell within two seconds of speaking with them what’s going on. I ask if they’re on testosterone, and they say, ‘Yes,’ and it’s really terrible for them. Many cry and say they were never told that it would affect their voice.”

Her collaboration with Patel — who noticed her own voice changes during perimenopause — and Dallas gynecologist Cheryl Kinney, MD, helped crystallize the project. Bensoussan was invited to present at a Menopause Society event in Chicago, where the response was overwhelming.

“I think it’s because they were surprised,” she said. “They didn’t understand or appreciate the effect of hormones on the voice.”

Among their conclusions: AI voice biomarkers could be a game-changer for early detection, but awareness and cross-specialty collaboration remain critical.

### 

 

What do our words say about our minds?





Washington University in St. Louis





Words are windows into the brain. The words that we choose — and how we say them — speak volumes about our personalities and even our mental health, said WashU psychologist Josh Oltmanns. “Our thoughts, feelings and behaviors are reflected in language,” he said.

Instead of subjecting people to endless batteries of tests, psychologists could gain valuable insights from samples of language. But they might need high-tech help to find the right signals in all of the chatter.

Artificial intelligence (AI) tools trained to detect tell-tale signs in speech could revolutionize psychological assessment, he said.

“Psychologists are people, and people are fallible, so even a good clinician might not always pick up on important verbal cues,” said Oltmanns, an assistant professor of psychological and brain sciences in Arts & Sciences at Washington University in St. Louis. “But a properly trained computer model will catch those cues.”

In theory, a psychologist could ask a client to describe their life and concerns, a standard part of an initial assessment. In addition to using their own clinical expertise, the psychologist could feed that conversation into a program designed to detect personality traits and signs of mental health concerns.

“The computer program could help validate their observations or warn them about something they might have missed,” Oltmanns said.

Oltmanns is working with his collaborators, who are also WashU PhD students, Tu DoTong Li, and Tongyao Ran, to develop AI tools to help psychologists uncover these hidden cues in language. He recently described the potential of such tools in the journal Advances in Methods and Practices in Psychological Science. Mehak Gupta, of Southern Methodist University, and Jocelyn Brickman, of Xavier University, were co-authors.

Language can convey psychology in many ways. Word choice matters, whether in a deep conversation or a casual post on X or Facebook. Early in his career, Oltmanns studied how word choices in social media posts broadly reflected a person’s Big Five personality traits: openness to experience, neuroticism, agreeableness, conscientiousness and extraversion.

But the way a person says words matters, too. “You can tell a lot by how a person speaks,” Oltmanns said. “Slowed speech can be a symptom of depression, while overly rapid speech is associated with anxiety.”

Speed is just one measure. Spoken words also vary in loudness, tone and pitch. “Speech samples have hundreds of different acoustic parameters that could be meaningful,” he said.

With so much potential information buried in each conversation, psychologists have long wanted the help of computers to analyze speech. More than 20 years ago, researchers developed Linguistic Inquiry and Word Count, a software program that could score people on various psychological aspects based on written text. Those tools have been refined over time, but the advent of AI opens a new world of possibilities, Oltmanns said.

“AI programs could be far faster, more thorough and more accurate than previous computer models,” he said.

Still, Oltmanns cautioned that AI also has risks. “It’s often trained on information on the internet, which means it can be biased,” he said. If those biases aren’t addressed, it’s possible that certain cultural differences in speech patterns could be inaccurately labeled as signs of mental health problems.

To avoid such problems with bias, AI models should be trained on diverse patient populations. To that end, Oltmanns is studying the hundreds of hours of interviews collected over the years through the SPAN Study, an ongoing investigation of more than 1,600 St. Louis adults who represent the city’s diversity.

“We’re particularly interested in looking at speech patterns in white and Black participants to ensure that the AI models treat each group fairly,” he said.

Oltmanns sees several other important questions moving forward. It’s not clear how word choice in written language differs from word choice in speech, or how many words it takes to truly gain insights into a person’s psychology. “We have a lot of ideas and a lot of work to do,” he said.

Given the speed of innovation in the AI field, he hopes to find answers sooner rather than later.

“Companies are already selling AI psychological assessment tools to hospitals and clinicians, but it’s not clear to me how well they work or how thoroughly they’ve been evaluated,” Oltmanns said. “This sort of technology could be a huge advance for the field of psychology, but it has to be done carefully. We have to be smart.”


Originally published on the Ampersand website.

 

Equity implications of where long-term fossil fuel plants are located found to differ based on time period studied




Study’s findings have implications for environmental justice




Carnegie Mellon University





Considerations related to environmental justice have risen to the forefront of policy discussions over the location of long-term infrastructure like power plants. These discussions have centered on ensuring equitable siting of planned infrastructure, but rarely account for its consequences over the long run.

In a new study, researchers examined the relative contributions of siting decisions (i.e., where to locate infrastructure projects) and demographic shifts after projects are built to current disparities in exposure to polluting U.S. fossil fuel plants. The study found little evidence that plants were disproportionately located in counties with higher Black populations, on average. But it also found that the share of the Black population grew in the decades after the first fossil fuel plant was built in a county.

The study was conducted by researchers at Carnegie Mellon University, Arizona State University, Université de Montréal, and Boston College. It will be published in this year’s NBER volume, Environmental and Energy Policy and the Economy.

“Relatively little research has focused on estimating social lifecycle impacts of long-lived infrastructure because the effects can take many decades to show up,” says Karen Clay, professor of economics and public policy at Carnegie Mellon’s Heinz College, who led the study. “Our work highlights that the equity implications of siting long-lived infrastructure can differ significantly depending on the time period studied.”

Researchers leveraged newly digitized data on the siting of power plants and their operations from 1900 to 2020, combined with spatially resolved demographics and population data from the U.S Census from 1870 to 2020. This extended time horizon allowed them to assess how demographics evolve over several decades after power plants are built.

The study also collected data on the potential determinants of power plant siting over time (e.g., population, transmission infrastructure, location of coal production, economic activity, railroads), which allowed researchers to determine the potential role played by pre-existing demographics in addition to other siting determinants.

Researchers found little evidence that power plants were sited disproportionately in counties with a higher share of Black residents, on average. Instead, siting decisions appear to have been influenced primarily by factors related to local demand for electricity and operating costs. The plants tended to be disproportionately located in counties that were more populous, had larger employment shares in manufacturing, and enjoyed better access to coal.

But researchers also discovered that openings of fossil fuel power plants led to long-term increases in counties’ shares of Black populations, with an average rise in Black population share of 4% in the 50 to 70 years after the first plant was built. These longer-run demographic responses to early power plant openings likely reflect a number of interrelated mechanisms, the authors conclude, such as the Great Migration and local sorting within and across county boundaries based on air pollution and other factors. Between 1910 and 1970, millions of African Americans moved from the South to northern cities, population inflows that resulted in large outflows of White people from city centers to outlying suburbs and neighboring counties, especially between 1940 and 1970.

This historical evolution in the local costs and benefits of fossil fuel power plants underscores the importance of quantifying the short- and long-run demographic changes that follow power plant siting, suggest the authors. Long-term demographic shifts after siting likely play a much larger role in current disparities in power plant exposure than does inequity in initial siting decisions. In this way, even when plants are not sited inequitably, geographic mobility can lead to inequitable outcomes.

“Our findings have important implications for infrastructure investment, particularly in the context of environmental justice,” says Akshaya Jha, associate professor of economics and public policy at Carnegie Mellon’s Heinz College, who coauthored the study. “Because the equity implications of investments in long-lived infrastructure vary depending on the time period studied, it is essential to consider the full social life cycle of these investments to ensure equitable outcomes.”

“While infrastructure projects like fossil fuel plants may promise short-term economic or energy benefits, their long-term implications often extend far beyond immediate gains,” adds Noah Miller, postdoctoral research fellow in public policy and management at Carnegie Mellon’s Heinz College, who coauthored the study. “The persistence of these disparities points to the need to incorporate a long-term perspective into decisions about infrastructure planning and policy.”

The authors note that their analyses were done at the county level, so they likely underestimate the full demographic shifts after siting of power plants.