Monday, June 22, 2026

 

Sweeping product analysis reveals path to more effective probiotic supplements





University of Virginia Health System

Sweeping product analysis reveals path to more effective probiotic supplements 

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University of Virginia School of Medicine researchers led by Jason Papin, PhD, analyzed more than 350 over-the-counter probiotics sold at the three largest pharmacy chains in the United States. Those 352 products were found to contain, collectively, only 36 unique species of bacteria. The most common species were forms of Lactobacillus, a type of bacteria commonly found in yogurt. 

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Credit: UVA Health





Probiotic supplements found in drugstores nationwide contain an assortment of microbes sold for specific health purposes despite limited understanding of the microbes' connections to their marketed use, new University of Virginia School of Medicine research reveals. But the scientists have assembled sophisticated computer models that could lead to more effective products to shape our microbiomes to improve health.

UVA researchers led by Jason Papin, PhD, analyzed more than 350 over-the-counter probiotics sold at the three largest pharmacy chains in the United States – CVS, Walgreens and Walmart. Those 352 products were found to contain, collectively, only 36 unique species of bacteria. The most common species were forms of Lactobacillus, a type of bacteria commonly found in yogurt. 

More than half the products contained only one probiotic species. The products with the most unique species topped out at 17. Some brands maintained a consistent number of bacterial strains across products, while others did not.

Based on their analysis, the scientists concluded that there was no real consistency in the combination of species used to support gut health, vaginal health or other health claims. 

“It is truly fascinating to discover that these probiotic bacteria hold a unique, specialized niche among the trillions of microbes in and on the human body,” said Glynis Kolling, PhD, a research faculty member in UVA’s Department of Biomedical Engineering who works closely with Papin. “By combining our advanced methods, we have the potential to vastly expand the pool of beneficial bacteria and pave the way for targeted solutions to support human health.”

Targeting the Microbiome

We have at least as many microorganisms living on and inside us than we have cells in our bodies. Scientists have increasingly come to appreciate the role these microorganisms – collectively known as the microbiome – play in maintaining our health. We can get beneficial bacteria from our diets, such as from yogurt and fermented foods, but there has also been an explosion in “probiotic” products over the last two decades.

So far, the federal Food and Drug Administration has approved only two microbial products for therapeutic purposes, and both are used to treat recurrent C. difficile infections in the colon. Supplements, however, are not regulated as strictly as drugs in the United States, and there is limited understanding of connections between bacteria and marketed use for many probiotic products, the UVA researchers found.

To improve the effectiveness of probiotic products, Papin and his team have developed HaPaPro, a collection of more than 1,000 computer models of bacterial metabolism. They used these models to see if they could identify probiotics with the potential to improve women’s vaginal health.

The vaginal microbiome is a natural ecosystem of bacteria, fungi and other microbes that help support health. Bacterial vaginosis occurs when this natural ecosystem is disrupted, leading to pregnancy complications, pelvic inflammatory disease, higher risk of sexually transmitted disease and general discomfort. The researchers were able to use their models to identify microbes that have the potential to help prevent bacterial vaginosis.

The successful results, Papin says, demonstrates HaPaPro’s potential for identifying ways to manipulate the microbiome will have concrete benefits. Such insights, he hopes, will lead to better probiotic products that deliver on their promises.

“It is remarkable how much microbes play a role in human health and well-being,” Papin said. “I love seeing how computational models of these complex biological systems are leading to new ideas for therapies and helping us understand such fundamental biological processes.”

Findings Published

The researchers have published their findings in the scientific journal Nature Microbiology. The research team consisted of Emma M. Glass, Kolling and Papin. The scientists have no financial interest in the probiotic industry, but Papin disclosed he has a stake in Cerillo, the manufacturer of instrumentation used in some of the analyses.

The work was supported by the National Science Foundation, grant 1842490, and the National Institutes of Health, grants T32 GM-145443-1, R01-AI154242 and R01-AT010253.

UVA’s Department of Biomedical Engineering is a joint program of the School of Medicine and the School of Engineering and Applied Science.

To keep up with the latest medical research news from UVA’s Paul and Diane Manning Institute of Biotechnology and School of Medicine, bookmark the Making of Medicine blog.

 

Digitization of centuries of Canadian weather records promises to improve climate understanding



McGill-affiliated project drew on handwritten records dating from 1768 to 1884 that detail temperature, precipitation, wind, storms and more



McGill University





Researchers have uncovered and digitized nearly two million 18th and 19th century weather observations from across Canada that offer new insights into how the country’s climate has changed over time.

The international project draws on handwritten records dating from 1768 to 1884. The data include temperature, precipitation, wind and detailed descriptions of such events as storms and floods.

“The paper is a data study, so in that sense we were looking for, documenting and transcribing meteorological observations from overseas archives, given Canada’s colonial history,” said Victoria Slonosky, an afiiliated researcher in the Department of Geography and lead author of a recent study in Scientific Data.

To build the dataset, researchers obtained fragile documents digitized by archives, transcribed the observations into a database and converted the measurements into modern units. Slonosky also helped establish Open Data Rescue, a not-for-profit organization that supports the search and transcription of Canadian weather records, along with related efforts such as McGill’s DRAW (Data Rescue: Archives and Weather) project.

Researchers drew on military and medical weather logs held in the United Kingdom’s Meteorological Office archives and records at the U.S. National Archives, including observations by Hudson’s Bay Company employees and missionaries.

Rich detail from the past

One surprise was the level of detail: Observers often recorded conditions two or three times a day and noted far more than temperature.

“As well as thermometer observations, there are wind, cloud, rain, snow, atmospheric humidity and atmospheric pressure observations, along with descriptions of the weather and sky,” Slonosky said.

These accounts include descriptions of floods, fires, storms and aurora, allowing researchers to identify past extreme events.

Filling a major knowledge gap

Until now, much of Canada’s early weather record was poorly understood, especially pertaining to northern and western regions.

“There was a ‘fog of ignorance’ … for this area,” Slonosky said, noting that limited data has made it harder to understand how storms form and evolve over time.

The newly digitized records suggest the climate in this period, near the end of the Little Ice Age, was highly variable.

“We knew it was generally colder than today, but discovering such a wealth of information also helps us see that the weather was more variable than in the 20th century generally,” she said.

Understanding how disruptive weather events happen

Researchers say the findings will help improve understanding of extreme weather events that affect people now and may also help put today’s climate headlines in context.

“We see the word ‘unprecedented’ a lot … so we’d like to find out if some of these things really are unprecedented, or if we just have short records and shorter memories,” Slonosky said.

About the study

Transcribing historical Canadian weather data by Victoria Slonosky et al. was published in Nature’s Scientific Data. It was funded by Environment and Climate Change Canada.

 

New lidar system maps location, speed and material properties in a single measurement



Technology expands lidar sensing beyond distance and motion, opening new possibilities for robotics, autonomous driving and remote sensing




Optica

Technology illustration 

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The new lidar system can simultaneously measure the location, speed and material properties (polarization) of objects in a scene, which could be useful for autonomous driving.

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Credit: Dongyu Du, University of Toronto






WASHINGTON — Researchers have developed a new kind of lidar system that simultaneously measures the location, speed and material properties of objects in a scene. This type of information could be useful for applications such as robotics, autonomous driving and remote sensing.

Lidar uses laser pulses to measure distances and create highly detailed 3D maps of objects and terrain. However, most commercial lidar systems, such as the ones used in autonomous cars, primarily measure distance.

“Although some emerging lidar technologies can also measure velocity, real-world perception often requires understanding an object's surface as well,” said Dongyu Du from the University of Toronto in Canada. “Our new system uses a single measurement at each scanned point to capture millimeter-accurate distance, velocity and surface material while using eye-safe laser power.”

In Optica, Optica Publishing Group’s journal for high-impact research, the researchers from the University of Toronto and network technology company Ciena Corporation describe their new lidar system, which combines new analysis methods with a standard telecommunications device that enables sensing of distance, velocity and surface material by capturing polarization information.

“Although this work is still at the research-prototype stage, it points toward future sensing systems that could help machines understand the physical world more reliably,”
 said Du. “This could lead to safer autonomous vehicles, more capable robots, better industrial inspection and sensing systems that work in poor visibility caused by glare, fog, or heavy rain.”

Adapting telecom technology for lidar

The new work grew out of a collaboration between research groups at the University of Toronto and Ciena Corporation, which have been exploring how a device called a coherent optical modem could be adapted for lidar. These mass-produced modems can simultaneously measure many different properties of light, including its frequency, polarization, phase and amplitude.

“Coherent optical modems are used to send internet traffic through cities and even across continents by encoding information into light,” said Du. “As a result, they can control and measure light with very high speed and precision, come in compact form factors and naturally solve many of the same sensing challenges encountered with lidar.”

The researchers developed a lidar system that uses a coherent optical modem as the transmitter and receiver. This made it possible to send and detect multiple properties of light with extremely high speed and precision and, thus, extract far more information from each measurement than is possible with a conventional lidar system.

The system works by illuminating a target with a laser beam that is randomly modulated at extremely fast speeds — tens of billions of times per second — in two orthogonal polarization channels. While conventional lidar systems measure the time delay between when light is emitted and when it returns to calculate distance, the new system also measures how the polarization properties of light change after interacting with the target surface, making it possible to recover distance, velocity and material properties.

Extracting the lidar signal

The researchers also developed a new way to make sense of the measurements, which are difficult to recover and are degraded by noise and unavoidable distortions induced by the lidar system’s internal optics.

“Previous systems lacked the computational tools to separate out the signal of interest from the internal distortions,” said Du. “We developed a new polarization-aware model of how light propagates through our system and interacts with the scene, along with algorithms that can disentangle all of these effects to produce clean estimates of distance, velocity and material properties.”

To test the system, the researchers first compared its depth and velocity measurements to those obtained with other lidar processing methods using controlled scenes with static and moving objects. The new method outperformed existing techniques on both fronts, particularly in challenging low-signal regions where other approaches struggled with noise. They also showed that the system works reliably under strong ambient light, which can cause other polarimetric lidar systems to fail.

The researchers then showed that the lidar system could recover surface material properties of everyday materials, including metals, plastics and objects with varying surface roughness. They also measured polarization speckle — an interference pattern created by laser light — and demonstrated that these patterns carry information about surface roughness, thereby providing a means to characterize materials at fine scales.

Finally, the researchers demonstrated that the polarization information obtained with the system can be helpful for imaging through scattering media with optical thickness up to 4.76. This capability could be useful for imaging in conditions where visibility is limited by fog, rain or dust.

The researchers are now working to improve the system’s hardware readout bandwidth, streaming acquisition and data transfer to enable more direct and faster capture of continuously evolving dynamic scenes.

Paper: D. Du, A. Xie, P. Mirdehghan, B. Buscaino, S.-H. Baek, K. N. Kutulakos, D. B. Lindell, “Polarimetric Full-Wavefield Coherent Lidar” 13, (2026).

DOI: 10.1364/OPTICA.592823.

About Optica

Optica is an open-access journal dedicated to the rapid dissemination of high-impact peer-reviewed research across the entire spectrum of optics and photonics. Published monthly by Optica Publishing Group, the Journal provides a forum for pioneering research to be swiftly accessed by the international community, whether that research is theoretical or experimental, fundamental or applied. Optica maintains a distinguished editorial board of more than 60 associate editors from around the world and is overseen by Editor-in-Chief Thomas Krauss, University of York, UK. For more information, visit Optica.

About Optica Publishing Group

Optica Publishing Group is a division of the society, Optica, Advancing Optics and Photonics Worldwide. It publishes the largest collection of peer-reviewed and most-cited content in optics and photonics, including 18 prestigious journals, the society’s flagship member magazine, and papers and videos from more than 835 conferences. With over 400,000 journal articles, conference papers and videos to search, discover and access, our publications portfolio represents the full range of research in the field from around the globe.

Experimental results 

The researchers used their new lidar system for simultaneous ranging, velocimetry and polarimetric sensing of an experimental scene (a) containing a moving model

vehicle, a speed-limit sign, an artificial plant and a real plant, mimicking a simplified

roadside environment with both static and dynamic objects. The reconstructed depth

map (b) localizes the spatial layout of the vehicle, sign and surrounding vegetation.

The reconstructed intensity map (c) doesn’t resolve the sign lettering because thesign has nearly uniform albedo at the modem wavelength of 1550 nm. The polarization map (d) reveals material-sensitive details not resolved by depth or intensity, including the sign text and the difference between artificial and real vegetation. The reconstructed Doppler velocity map (f) identifies the moving vehicle and separates it from the static background.

Credit

Dongyu Du, University of Toronto


 

Researchers identify key factors that build resilience and support mental health in female athletes



Longitudinal study highlights modifiable factors that may help reduce depression, anxiety, PTSD and stress





Pennington Biomedical Research Center






Researchers from have identified several modifiable factors that influence psychological resilience in female athletes and found that greater resilience may help protect against depression, anxiety, post-traumatic stress disorder (PTSD) and high levels of perceived stress.

The findings, “Modifiable Risk Factors of Female Athlete Psychological Resilience and Mental Health: A Longitudinal Investigation,” published in Sport, Exercise, and Performance Psychology, provide new insight into how resilience develops over time and offer a roadmap for future interventions designed to support the mental health and well-being of female athletes.

The study from researchers at LSU’s Pennington Biomedical Research Center, Harvard Medical School, Trinity University, Michigan State University and Women’s Health, Sports and Performance Institute in Boston followed close to 400 female athletes from across the United States over a 12-month period. Researchers examined factors that could influence resilience, including emotion regulation, sleep quality, social support, experiential avoidance and intolerance of uncertainty. They also evaluated how resilience affected mental health outcomes over time.

“Our findings reinforce the idea that resilience is not simply about toughness, nor is it a fixed trait that some athletes possess and others do not,” said Dr. Tiffany Stewart, Dudley & Beverly Coates Endowed Professor and Director of the Behavior Technology Laboratory at Pennington Biomedical. “Resilience appears to arise from a set of underlying psychological processes that can be strengthened through intentional, evidence-based approaches. This gives us reason for optimism – not only for improving performance, but for helping female athletes build the resources necessary to navigate adversity, protect mental health, and flourish both in and beyond sport.”

Researchers found that difficulties with emotion regulation, experiential avoidance, intolerance of uncertainty, sleep challenges and poor social support were associated with lower resilience over time. Among those factors, intolerance of uncertainty emerged as one of the strongest predictors of reduced resilience.

The study also found that athletes with higher resilience experienced lower rates of depression, anxiety, PTSD and perceived stress throughout the study period, reinforcing the important role resilience may play in protecting mental health.

Female participation in sports has increased significantly in recent decades, bringing greater attention to the unique experiences and mental health needs of female athletes. Previous research has shown that female athletes often experience higher levels of sport-related stressors and mental health challenges than their male counterparts. However, limited longitudinal research has examined the factors that influence resilience in this population.

By identifying modifiable risk factors and demonstrating the positive impact of resilience on mental health outcomes, the study helps lay the foundation for future prevention and intervention programs tailored specifically to female athletes.

“At Pennington Biomedical, we are committed to advancing research that improves health across every stage of life,” said Dr. Jennifer Rood, Interim Senior Vice Chancellor and Executive Director of Pennington Biomedical. “Female athletes often face unique pressures and challenges both within competition and in their daily lives, and understanding the factors that contribute to resilience allows us to better support athletes through targeted strategies that promote both well-being and performance.”

The researchers note that future studies will focus on developing and testing interventions designed to strengthen resilience by addressing the specific factors identified in this work.

The study, “Modifiable Risk Factors of Female Athlete Psychological Resilience and Mental Health: A Longitudinal Investigation,” was authored by Pennington Biomedical’s Dr. Stewart, Nicole Wesley and Kelsey Varzeas; Harvard Medical School’s Miriam Rowan, Trinity University’s Carolyn B. Becker, Michigan State University’s Vivienne M. Hazzard; and Women’s Health, Sports and Performance Institute’s Kathryn Ackerman.

About the Pennington Biomedical Research Center

The Pennington Biomedical Research Center is at the forefront of medical discovery as it relates to understanding the triggers of obesity, diabetes, cardiovascular disease, cancer and dementia. Pennington Biomedical has the vision to lead the world in promoting nutrition and metabolic health and eliminating metabolic disease through scientific discoveries that create solutions from cells to society. The Center conducts basic, clinical and population research, and is a campus in the LSU System.

The research enterprise at Pennington Biomedical includes over 600 employees within a network of 44 clinics and research laboratories, and 16 highly specialized core service facilities. Its scientists and physician/scientists are supported by research trainees, lab technicians, nurses, dietitians and other support personnel. Pennington Biomedical is a globally recognized state-of-the-art research institution in Baton Rouge, Louisiana. For more information, see www.pbrc.edu.