Animal skin disease confirmed in clusters of European men who have sex with men

Researchers in France and Spain have diagnosed a number of men who have sex with other men with dermatophilosis, a skin disease that normally infects livestock, even though the cases had no known exposure to affected animals. Cases have also been detected in Germany, one of the researchers told STAT. 

The clusters of infections are in some ways reminiscent of the emergence of mpox in 2022 in networks of gay men and other men who have sex with men. But people who have diagnosed some of these dermatophilosis cases describe a disease that is much milder in presentation. 

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Leukemia Stem Cell Diversity Drives Treatment Resistance in AML

Scientists from the German Cancer Research Center and HI-STEM have uncovered a major reason why acute myeloid leukemia (AML) frequently returns after treatment. Their findings, published in Cell Stem Cell, reveal that leukemia stem cells, the rare but critical cells that sustain the disease, exist in multiple biologically distinct forms, each with different vulnerabilities and resistance mechanisms.

The discovery helps explain why venetoclax, one of the most important targeted therapies in AML, often loses effectiveness over time. More importantly, it provides a framework for designing personalized combination therapies that could prevent relapse by targeting resistant stem cell populations before they expand.

Why AML remains difficult to cure

Acute myeloid leukemia is an aggressive blood cancer characterized by the rapid accumulation of abnormal myeloid cells in the bone marrow. Although newer targeted therapies have improved outcomes, relapse remains the central clinical challenge.

One of the most transformative advances in AML treatment has been the introduction of venetoclax, a selective inhibitor of the anti-apoptotic protein BCL-2. Combined with hypomethylating agents or low-dose chemotherapy, venetoclax has substantially improved responses, particularly in older patients who are unable to tolerate intensive chemotherapy.

Yet despite these advances, most patients eventually relapse.

Researchers have long suspected that leukemia stem cells are responsible. These rare cells possess the ability to self-renew indefinitely and survive therapeutic pressure, allowing the disease to regenerate even after apparently successful treatment.

Not one leukemia stem cell—but four

In the new study, researchers analyzed samples from more than 150 AML patients to better understand how leukemia stem cells respond to therapy.

Their findings challenge the idea that AML stem cells represent a single uniform population. Instead, the team identified at least four distinct leukemia stem cell subtypes, each resembling different developmental stages of normal blood cell formation.

This developmental identity turned out to be critically important because it determined which survival pathways the cells depended on—and therefore how sensitive they were to venetoclax.

Some stem cell subtypes were highly dependent on BCL-2 and responded well to treatment. Others relied on alternative survival programs that rendered them intrinsically less sensitive to the drug.

Cancer stem cells adapt under therapeutic pressure

One of the study’s most significant findings was that leukemia stem cells are not fixed in a single state. Instead, they can dynamically reprogram themselves in response to therapy.

Venetoclax works by blocking BCL-2, a protein that protects leukemia cells from programmed cell death. When BCL-2 is inhibited, susceptible leukemia cells undergo apoptosis.

However, the researchers found that under treatment pressure, many leukemia stem cells transition into more resistant cellular states. Rather than relying on BCL-2, these resistant cells switch to using a related survival protein known as BCL-xL.

This adaptive shift effectively allows the cells to bypass venetoclax and survive treatment.

The findings strengthen a broader principle increasingly recognized across oncology: cancer is not only genetically heterogeneous but also highly plastic. Tumor cells can alter their identity to evade therapeutic pressure, making durable treatment responses difficult to achieve with single-agent therapies.

Combination therapies may overcome resistance

The study also points toward potential strategies for overcoming this resistance.

By identifying which survival pathways individual leukemia stem cell subtypes depend on, researchers showed that resistant populations could potentially be targeted with rational drug combinations. In particular, combining venetoclax with inhibitors targeting BCL-xL emerged as a promising approach.

In mouse models transplanted with patient-derived leukemia cells, these subtype-specific combination therapies were significantly more effective than current standard approaches.

This suggests that future AML therapy may require simultaneous targeting of multiple stem cell states to prevent resistant populations from emerging during treatment.

Biomarkers could guide precision medicine in AML

Another key advance from the study was the identification of biomarkers capable of distinguishing the different leukemia stem cell subtypes.

These biomarkers could eventually enable clinicians to determine, at the time of diagnosis, which resistance mechanisms are most likely to arise in a particular patient.

“This means that in the future, it may be possible to determine at the time of diagnosis which patient will benefit most from which therapy,” said Alexander Waclawiczek, PhD, first author of the study.

Such an approach would represent a major shift away from treating AML as a largely uniform disease and toward truly individualized therapy guided by stem cell biology.

A new framework for AML treatment

The findings also reinforce the growing importance of cancer stem cell biology in therapeutic design. Rather than focusing exclusively on eliminating bulk tumor cells, future strategies may increasingly aim to eradicate the specific stem cell populations capable of regenerating disease after therapy.

“The results should help to align AML therapy in the future more closely with the biological characteristics of individual AML cases and, in particular, their leukemia stem cells, rather than treating all patients according to a similar protocol,” said Andreas Trumpp, PhD, who led the study.

The next major step will be translating these findings into clinical trials testing personalized combination therapies tailored to leukemia stem cell subtype composition.

The post Leukemia Stem Cell Diversity Drives Treatment Resistance in AML appeared first on Inside Precision Medicine.

Fully Anonymized Digital Health Data Acquisition in a Research Partnership Using a Blinded Deidentification Proxy in the HerzFit App: Implementation Study

Background: The European General Data Protection Regulation (GDPR) strictly regulates the processing of personal and health-related data, posing challenges for digital health research, especially when data are collected using participants’ own devices. Although scientific data can theoretically be anonymized, standard internet communication protocols inevitably expose transmission metadata, preventing true anonymization. Existing solutions, including virtual private networks, reverse proxies, and trust centers, improve confidentiality but do not technically or legally enable fully anonymized data collection. Consequently, large-scale digital health research often requires extensive organizational measures, complex consent procedures, and high regulatory overhead. Objective: This study aimed to develop a GDPR-compliant concept for fully anonymized scientific data collection, ensuring that no entity has simultaneous access to identifying information and donated data. We also implemented and evaluated this concept in a real-world public-private partnership. Methods: We designed a data donation architecture based on a blinded deidentification proxy that decouples identifying transmission metadata from encrypted user data at the time of donation. The concept combines symmetric (Advanced Encryption Standard-128 in Cipher Block Chaining) and asymmetric (Rivest-Shamir-Adleman with Optimal Asymmetric Encryption Padding) encryption, enabling end-to-end encrypted and anonymized data transfer without persistent identifiers. The system was integrated into the HerzFit app, a mobile lifestyle coach for cardiovascular disease prevention available in German-speaking countries, and evaluated for adoption, technical feasibility, and performance. Performance overhead was assessed using round-trip time benchmarks. Duplicate donations were identified and merged to estimate unique data donors. Results: The solution was integrated and tested in the HerzFit app with more than 200,000 downloads between April 2022 and December 2025. Since the introduction of the data donation feature, more than 13,000 donations have been received, translating to more than 9000 individual users contributing anonymized datasets. Proxy-based transmission resulted in an average round-trip time of 143 ms, compared to 58 ms for direct transfer, representing a modest overhead while maintaining usability. The operator of the donation database did not gain access to identifying information at any stage, demonstrating full technical anonymization. The approach can be operated reliably at scale with minimal server resources due to the stateless proxy design. Conclusions: This work introduces a novel system architecture enabling fully anonymized, GDPR-compliant data donation directly from participants’ devices. By decoupling identifying metadata from encrypted health data, the concept minimizes regulatory effort, strengthens privacy protection, and provides a practical framework for large-scale digital health research in research partnerships, for example, between a private company and a research institution. The real-world deployment in HerzFit demonstrates the feasibility, scalability, and scientific utility of this approach. The concept is broadly transferable to other mobile health apps and has the potential to substantially expand ethically and legally compliant data acquisition.
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A two-decade bibliometric analysis (2004–2024) of parental factors in the context of internet gaming disorder research

ObjectiveThis is the first targeted bibliometric analysis which explores the development of scientific production on the relationship between parenting and Internet Gaming Disorder (IGD) over twenty years, emphasizing the central role of the family context in the etiology and maintenance of IGD.MethodsPapers indexed in Scopus and Web of Science databases from 2004 to December 31, 2024, were analyzed using the PRISMA guidelines, the R package Bibliometrix, and VOSviewer. A comprehensive search strategy was developed using Boolean operators to capture variations of parental and gaming-related terminology. Records were exported in BibTeX format and were merged and cleaned to remove duplicates before the analysis. A descriptive bibliometric analysis, bibliometric mapping, and content analysis were conducted to identify trends and thematic clusters. The analysis included 389 publications.ResultsThe most cited papers confirm the association of low parental warmth, family dysfunction, and comorbid psychiatric symptoms with a higher risk of IGD. Thematic mapping reveals six dominant clusters covering the conceptualization and diagnosis of IGD, parental mediation and virtual environment, psychological vulnerability and mental health, parenting and attachment, parenting styles and self-control, and problematic screen-related behaviors, and a strong concentration of publications in China, Germany, and the USA. The analysis also revealed an increase in publication output after 2013, with a notable acceleration following the inclusion of gaming disorder in the International Classification of Diseases 11th Revision (ICD-11).ConclusionThe bibliometric analysis reveals the rapid growth of research on parenting and IGD, highlighting the multifactorial nature of the disorder where dysfunctional family relationships increase risk, while supportive ones reduce it. Despite progress, longitudinal studies are needed for better understanding of causality and interventions.

The balcony solar boom is coming to the US

Dozens of US states are considering legislation to allow people to install plug-in solar systems, often called balcony solar. These small arrays require little to no setup and could help cut emissions and power bills.

Balcony solar is already popular in Europe, and proponents say that the systems could make solar power more accessible for more people in the US, including renters. As popularity rises, though, some experts caution that there are safety concerns with how balcony solar would work with existing electrical equipment in homes.

Let’s talk about what balcony solar is, why it’s unique, and how new testing requirements could affect our progress toward deploying the technology in the US.

Plug-in solar systems are designed to be simple to install, often requiring no electrician or specialized worker at all. They’re small, and many can be plugged into existing outlets.

People across Germany have installed over a million balcony solar systems. They generally measure up to roughly two square meters or about 20 square feet, and can generate up to 800 watts—enough to power a standard microwave.

Now the plug-in solar wave is coming to the US. Many Americans have already installed DIY balcony solar without the permission of their utilities—it’s something of a regulatory gray area. In late 2025, Utah became the first state to explicitly allow people to install and use balcony solar systems. Over two dozen other states are now considering similar legislation.

Generally, utilities require users to sign an interconnection agreement before they can plug in large arrays of solar panels that generate power for the grid. There can be fees and permits, and it all amounts to an expensive and lengthy process.

Utah’s law ditched the interconnection requirement for panels that have a low power cap and that are certified by a national testing facility. (Legislation under consideration in other states, including New York, includes the same requirements.) The thinking is that since the panels produce very little power, which would be used to meet a home’s own energy demand and probably not get sent back to the grid, the same requirements shouldn’t apply. 

As for that certification piece, in January the national testing and certification lab UL Solutions released UL 3700, a testing protocol to certify balcony solar systems and ensure that they’re safe. 

There are three main safety considerations to address for these plug-in solar systems, says Joseph Bablo, manager of principal engineering, energy, and industrial automation at UL Solutions. First, there’s the possibility of overloading a circuit. Generally, electrical circuits have circuit breakers, which can trip and interrupt current if necessary. But if there’s a solar panel adding extra power to a circuit, a traditional breaker might not be able to respond to overload. Over time, overloaded circuits can damage equipment or even start a fire. 

Second, these small systems are typically installed on the outside of homes, and outdoor power outlets generally have ground fault circuit interruption (GFCI). Basically, if an outlet or its surroundings are wet, it can shut down to prevent electric shock. Many GFCI systems may not work if there’s power going back into an outlet from a solar panel.

Finally, there’s touch safety: If a plug gets disconnected from the wall, the blades of the plug may still have power running through them for a short time. If a panel is getting sunlight, those blades could be energized for longer than is typical.

The new UL Solutions testing framework aims to address these concerns. One of the key recommendations is that plug-in solar panels should use a special outlet that’s designed specifically for them. The safety measures included in that connection, and within a panel, would ensure that the panels are safe.

The need for a special outlet means that currently, people who want to plug in a solar panel array would probably need to have an electrician come and update their wiring in order to comply with the protocol, Bablo says. “I know they want to say ‘No electrician, no permits’—we’re not there.”

Today, anyone can buy products like solar panels and inverters, some of which carry their own component UL certifications, and string them together. (Inverters are covered under UL 1741, for example.)

But the gold standard is to have an entire system that meets the safety requirements, and that means adhering to the new standard, Bablo says. As of early May, there aren’t any plug-in solar systems that have been fully certified by UL Solutions. And Bablo said he couldn’t share information about what, if any, are in the pipeline.  

Even with the new certification requirements, Bablo still thinks plug-in solar still has the potential to help more people access the technology. “There’s a way for it to work, but we want it to work safely,” he says.

This article is from The Spark, MIT Technology Review’s weekly climate newsletter. To receive it in your inbox every Wednesday, sign up here. 

Early Glucagon Elevation Linked to MASLD in Type 2 Diabetes

Researchers at the German Diabetes Centre have found that glucagon, a hormone that is considered to be a counterbalance to insulin, is elevated early in type 2 diabetes (T2D) and closely linked to the development of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD). The findings, published in the journal Diabetes Care, indicate that dysregulation of glucagon occurs soon after diagnosis of type 2 diabetes and is associated with liver fat accumulation, information that could prompt a shift in the understanding of how MASLD progresses and suggesting new ways to treat it.

“Our findings highlight that type 2 diabetes should not be viewed solely from the perspective of insulin action. The liver and the regulation of glucagon play a special role in metabolism,” said senior author Michael Roden, MD, scientific director of the German Diabetes Centre.

The aim of the research was to address unresolved questions about the activity of glucagon in early type 2 diabetes and how it may influence the development of fatty liver disease (MASLD). While insulin resistance is central to diabetes research, glucagon is also known to contribute to elevated blood glucose by stimulating hepatic glucose production. MASLD is also common in people with type 2 diabetes, yet the interaction between liver fat and glucagon regulation is not well understood.

To investigate glucagon’s role in this regard, the researchers analyzed 50 adults with newly diagnosed type 2 diabetes and 50 people with normal glucose tolerance matched for age, sex, and body mass index. Participants underwent mixed-meal tolerance tests to assess glucagon and metabolites, hyperinsulinemic-euglycemic clamps to measure insulin sensitivity, and imaging using magnetic resonance spectroscopy and MRI to quantify hepatic lipid content and visceral fat.

The resulting data indicated that those people with newly diagnosed type 2 diabetes had significantly higher liver fat and elevated glucagon levels both when fasting and after meals.

“Individuals with T2D had an ∼65% higher HLC as well as higher fasting and postprandial glucagonemia (∼30% and ∼75%) than those with NGT,” the research noted. The presence of MASLD, rather than diabetes itself, was associated with higher fasting glucagon levels. Elevated glucagon levels after a meal were specifically linked to liver fat content in those people with type 2 diabetes.

These associations were independent of insulin sensitivity and visceral adipose tissue. “Hyperglucagonemia in the face of higher HLC in early T2D is not due to differences in insulin sensitivity or glucagonotropic metabolites but could suggest hepatic glucagon resistance,” the researchers wrote.

The study also addressed the role of amino acids and nonesterified fatty acids (NEFAs), which previous research has suggested serve as mediators of glucagon secretion. But the current research did not show this to be the case. “This study demonstrates that 1) fasting glucagon concentrations are elevated and tightly associated with MASLD already in newly diagnosed T2D and 2) increased postprandial glucagon levels are positively linked to HLC only in early T2D, but not NGT… but 3) neither amino acids nor NEFAs mediate this hepatopancreatic relationship,” the researchers wrote.

These findings could boost current development of glucagon-based drugs, including dual- and triple-agonists targeting incretin and glucagon receptors, which are already being studied for the treatment of MASLD. The study implicates that altered glucagon physiology in type 2 diabetes may influence how patients respond to drugs, and differences in glucagon signaling may help explain why some therapies appear less effective in individuals with diabetes compared to those without.

While this study was cross-sectional and does establish causality, the researchers pointed to the consistent associations across multiple metabolic measurements as evidence to support further investigation. Additional work could determine whether hepatic glucagon resistance can be directly measured and targeted. Future research will also focus on finding out whether modifying glucagon signaling can alter the progression of MASLD and type 2 diabetes, and how new therapies in development can be personalized for patients with different metabolic profiles.

The post Early Glucagon Elevation Linked to MASLD in Type 2 Diabetes appeared first on Inside Precision Medicine.

Moss Powering the Next Drug Frontier

For decades, Chinese hamster ovary (CHO) cells have been the gold standard for producing biologic drugs, from monoclonal antibodies to enzyme therapies. But for some of the most complex and fragile proteins, even CHO systems can fall short. Now, an unlikely contender—moss—is offering a new path forward.

At Germany-based Eleva, researchers are using Physcomitrium patens, a simple moss species, as a suspension cell culture system for producing recombinant human proteins that are difficult and sometimes impossible to manufacture in conventional platforms. According to Andreas Schaaf, PhD, Eleva’s CSO, these include “glycoproteins with complex or sensitive glycosylation requirements,” as well as cytokines, immune-cytokines, complement regulators, enzymes for rare metabolic disorders, and advanced antibody formats such as antibody-toxin conjugates.

The technology has deep academic roots. Plant biotechnologist Ralf Reski, PhD, at the University of Freiburg, helped develop P. patens into a model species for synthetic and systems biology and co-invented the moss bioreactor. His research led to the founding of Greenovation, now known as Eleva, which has since advanced the platform toward clinical-stage drug development.

The company’s first moss-produced drug candidate to enter clinical studies was a recombinant alpha-galactosidase enzyme replacement therapy (ERT) for Fabry disease, a rare lysosomal storage disorder. Current ERT options for Fabry patients are limited by short circulating half-life, inefficient uptake into key affected cell types, and immunogenicity. Eleva believes the more uniform glycosylation achieved through moss production could help overcome these limitations.

A particularly significant demonstration of the platform is Eleva’s recombinant complement Factor H candidate, currently in Phase Ib. Factor H is a large complement-regulatory glycoprotein used to target complement-related renal diseases such as C3 glomerulopathy (C3G), lupus nephritis (LN), and potentially dry age-related macular degeneration (AMD).

Schaaf notes that Factor H “had long resisted reliable expression in conventional systems such as yeast or CHO cells.” For patients with C3G—many of whom are young and face a 50% rate of kidney failure within ten years—the ability to restore natural Factor H activity could represent a major therapeutic shift. Current treatments often rely on broader complement suppression and carry boxed warnings for serious infections.

So why moss?

Unlike mammalian cells, which often generate heterogeneous glycan mixtures, moss produces more uniform glycosylation profiles due to its simplified glycan-processing pathway. This matters because glycosylation can directly affect a drug’s stability, efficacy, and immunogenicity.

Moss cells are also largely unaffected by toxic cytokine feedback, which in mammalian systems can inhibit growth or trigger apoptosis, limiting secretion efficiency and yields. Plant-specific chaperones and folding assistants, including protein disulfide isomerases, also help prevent protein aggregation and support the correct assembly of complex multimeric proteins.

“Moss offers clear advantages over other expression systems for certain protein classes that are difficult or impossible to manufacture otherwise,” Schaaf says, adding that such therapies might otherwise be “deprioritized or abandoned.”

There are practical manufacturing advantages, too. Moss requires no animal-derived media supplements, eliminating mammalian virus risk and removing the need for costly viral filtration in downstream processing. It is also less sensitive to fluctuations in temperature and pH, giving manufacturers greater process flexibility and potentially lowering production costs.

Still, Eleva is careful not to position moss as a replacement for CHO. Björn Cochlovius, PhD, CEO of Eleva, says standard proteins will continue to be best served by established systems. “The goal is not to replace CHO or other systems with moss when those other systems deliver well,” he explains.

Instead, the aim is to ensure that the range of therapeutic candidates in development is not defined by the limits of existing manufacturing platforms. Yields for large-scale GMP production and improving predictability remain ongoing challenges, but commercially viable titers are already being achieved through continuous optimization.

Cochlovius believes regulatory precedent and growing CDMO partnerships will further strengthen adoption. “A moss-based platform capable of reliably producing this category of proteins at scale would open a pipeline of programs that are currently inaccessible,” he says.

For biotech developers—and for patients with limited treatment options—that could make all the difference. Sometimes, the future of medicine grows in the smallest places.

The post Moss Powering the Next Drug Frontier appeared first on GEN – Genetic Engineering and Biotechnology News.

Next Generation CRISPR Gene Editing Could Help Target Cancer Cells

A CRISPR gene editing protein called Cas12a2 can be turned into a kind of programmable self‑destruct switch for cells, which researchers think could be a new way to treat conditions like cancer if the technique is validated.

Cas12a2 eliminates eukaryotic cells based purely on which RNA transcripts they express, and the investigators showed this can be used to selectively destroy virus‑infected cells, unedited cells, and cancer cells bearing a single‑nucleotide mutation.

“Common molecular and cell-based interventions, such as small-molecule inhibitors, toxins, antibodies, lytic viruses or programmed immune cells, eliminate cells through specific proteins or survival pathways; however, these methods cannot be tailored to arbitrary genetic or transcriptional states as well as difficult-to-drug scenarios such as mutations in non-coding sequences or complex etiologies,” write co-lead author Yang Liu, PhD, assistant professor in biochemistry at University of Utah Health, and colleagues in Nature.

“A cell-killing approach triggered directly by the specific recognition of prescribed DNA or RNA sequences could greatly broaden the range of targetable conditions, creating new means to counter select against specific cells in a variety of situations and applications.”

In this study, the researchers first tested the technology in yeast and human cell lines against a harmless target. They found that the guided Cas12a2 destroyed the cells carrying the marker by effectively shredding their DNA. When they checked for off-target effects they were rare and weak.

They then tested the technology on cancer cells carrying the HPV virus by targeting viral RNA. The method killed cells containing the virus, but not cells negative for HPV. The team also used the Cas12a2 method to “clean up” after gene editing by killing unedited cells and enriching edited ones. Finally, they tested if Cas12a2 could recognize a single mutation in the cancer gene KRAS and showed it could destroy cells with this mutation while leaving cells with a non-mutant version of KRAS alone. This worked even when those cells were resistant to an approved KRAS drug.

“The enzyme that we’re working with is extremely specific,” Liu says. “It does not touch the healthy cells. So if we’re thinking about a cancer therapy, you’re treating cancer with no side effects. That was striking to us. We did not know that was possible.”

This research is early stage, and it will take some time to enter the clinic, as testing in animal models is needed first, but the research team say the results are promising. The technology is being developed commercially by German biotech Akribion Therapeutics, a biotech spin-off from BRAIN Biotech launched in 2024.

The post Next Generation CRISPR Gene Editing Could Help Target Cancer Cells appeared first on Inside Precision Medicine.

Muscle Quality and Fat Distribution Predict Mortality Risk Better than BMI

Researchers at the University Medical Center Freiburg in Germany, say that detailed measures of body composition derived from whole-body MRI scans can predict diabetes, cardiovascular events, and mortality risk better than current methods that rely on body mass index (BMI). Using MRI imaging data from more than 66,000 people, the team has developed age-, sex-, and height-adjusted reference standards that show how fat and muscle are distributed across the body and how these patterns relate to health outcomes. Their findings, published in the journal Radiology, show analysis of both the quantity and quality of skeletal muscle, along with where fat is distributed in the body, can provide a more accurate way to determine risk as opposed to weight-based methods alone.

“Many risk scores and treatment decisions still rely on BMI or waist circumference because they are simple to obtain,” said senior author Jakob Weiss, MD, PhD, an interventional radiologist at University Medical Center Freiburg. “But BMI does not reliably reflect a person’s actual body composition.” This is one of the central findings of the study: that individuals with similar BMI values can have markedly different distributions of fat and muscle, which carry different levels of risk for cardiometabolic disease and mortality.

The team’s retrospective study analyzed whole-body MRI scans from 66,608 people using data from the UK Biobank and the German National Cohort collected between April 2014 and May 2022. The cohort had a mean age of 57.7 years and an average BMI of 26.2. Using a fully automated deep learning framework, the researchers quantified multiple body composition measures, including subcutaneous adipose tissue, visceral adipose tissue, skeletal muscle, skeletal muscle fat fraction, and intramuscular adipose tissue. These measures were normalized for age, sex, and height. A score is developed from these data to show how far individuals deviated from a population-adjusted reference.

“Whole-body MRI–derived BC (body composition) z-scores were used to identify at-risk individuals and predict cardiometabolic outcomes and mortality beyond traditional risk factors.” They then used the z-score categories to assess associations and clinical outcomes.

Their data showed that individuals with high visceral fat had a 2.26-fold increased risk of developing diabetes. High intramuscular fat was associated with a 1.54-fold increased risk of major adverse cardiovascular events, while low skeletal muscle was linked to a 1.44-fold increase in all-cause mortality.

The deep learning system used to develop the risk profiles was trained and evaluated against radiologist-defined reference standards, allowing it to extract volumetric measurements across the entire body rather than relying on single cross-sectional slices. This method allowed the researchers to capture meaningful variations in muscle quality and fat distribution that are not visible through other techniques.

“Manual BC measurement in large-scale imaging datasets is prohibitively time-consuming,” the researchers wrote. “However, recent advances in deep learning have enabled fully automated, accurate, and efficient quantification from cross-sectional imaging.” This capability allowed the team to construct reference curves reflective of how body composition changes with age and differs between men and women.

Importantly, the research shines a light on the limitations of using BMI to determine future risk. Because BMI is calculated using only two metrics, height and weight, it does not distinguish between fat and muscle or account for where fat is stored. Because of this, two people with the same BMI may have very different levels of visceral fat or muscle mass, factors that can lead to different to different health risks. The researchers showed that deviations in these specific components, captured via their MRI-based z-scores, were predictive of outcomes even after accounting for traditional risk factors.

“It’s not only how much muscle you have, but also it’s the quality of that muscle,” said first author Matthias Jung, MD, a radiologist at University Medical Center Freiburg. “Knowing the volume of intramuscular fat gives us a window into muscle quality that other methods like BMI, bioelectrical impedance analysis, or DEXA can’t easily provide.” This distinction is relevant because intramuscular fat is linked to metabolic dysfunction and cardiovascular risk.

The study also produced a web-based calculator that allows clinicians and researchers to compare individual patient data with population-based reference values. According to Weiss, this tool could be applied to existing imaging studies. “A dedicated whole-body MRI is not necessarily required. If a routine CT or MRI body scan already exists, the information can be extracted for benchmarking against the reference values,” he said.

The study has limitations, including a cohort of primarily White Western European adults, which may impact the generalizability of the findings. The researchers also pointed out that whole-body MRI is not routinely performed in clinical practice, although they provided reference values for commonly imaged regions such as the chest, abdomen, and pelvis to address this.

The team will continue their work by seeking to validate the reference curves in clinical populations and exploring their use in predicting treatment outcomes, including toxicity, survival, and recurrence in cancer patients. The team also plans to develop disease-specific reference values for broader patient groups to broaden the use of body composition analysis into clinical care.

The post Muscle Quality and Fat Distribution Predict Mortality Risk Better than BMI appeared first on Inside Precision Medicine.

Cultural Relevance and Acceptability of Cognitive Behavioral Therapy Techniques Adapted by AI or a Human Psychologist: Experimental Study

Background: Evidence-based psychological interventions are usually not accessed by marginalized groups such as refugees. Culturally adapted psychological interventions have reported larger effect sizes than nonadapted psychological interventions. However, the cultural adaptation of interventions is a lengthy process, entailing a challenge. One potential solution to overcome this challenge is the use of artificial intelligence (AI). Objective: The aim of this study was to investigate and compare the perceived cultural relevance and acceptability of 2 common cognitive behavioral therapy (CBT) techniques when translated and culturally adapted by AI versus a human psychologist. Methods: In a 2×2 factorial design, the text generator type (AI vs human psychologist) and the CBT technique (cognitive restructuring vs behavior modification) were compared. CBT technique texts translated and culturally adapted either by AI or by a human psychologist were blindly rated using the Cultural Relevance Questionnaire and the Theoretical Framework of Acceptability. Raters were Arabic-speaking refugees and immigrants, aged between 18 and 69 years, residing in Sweden, Denmark, and Germany. Raters were randomly allocated to 1 of 4 conditions. Each condition consisted of 2 stimuli. Two-factor between-subject design analyses were used to analyze the data. Results: A significant main effect of the text generator domain type (=.02; η²=0.045) was found in the first rating, with texts adapted by the AI domain perceived as more culturally relevant than those adapted by the human domain. No significant main effect of the CBT technique was found in the first rating (=.10; η²=0.022). There were no differences in the second rating. Regarding acceptability, no significant main effects of text generator domain type (=.09; η²=0.024) or the CBT technique (=.88; η²=0.001) were found in either of the ratings. Conclusions: CBT technique materials adapted by AI may be perceived as similarly culturally relevant as those adapted by a human psychologist. This finding implies the potential to accelerate the cultural adaptation of psychological interventions. However, AI still needs to be used with caution and in accordance with rigorous safety standards and robust frameworks.
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