Smartphone-Based Ecological Momentary Assessment Among Community-Dwelling Older Adults: Observational Feasibility and Acceptability Study

<strong>Background:</strong> Ecological momentary assessment (EMA) enables repeated, real-time measurement of emotional states, behaviors, and contextual exposures in individuals’ daily lives. Although EMA has been increasingly used in health and behavioral research, evidence regarding the feasibility, compliance, and acceptability of smartphone-based EMA among older adults in Asian settings remains limited. <strong>Objective:</strong> This study aimed to evaluate the feasibility, EMA compliance, usability, and acceptability of a 14-day smartphone-based EMA protocol among community-dwelling older adults in Singapore. <strong>Methods:</strong> The data came from the Ecological Momentary Assessment in Ageing study, a smartphone-based EMA study designed to assess mental well-being, lifestyle behaviors, and perceived neighborhood environment among older adults. Adults aged 65 years or older in Singapore were enrolled and asked to complete 5 EMA prompts per day over 14 consecutive days using a smartphone app. Each EMA prompt remained available for up to 5 hours after delivery. EMA prompts assessed momentary mental well-being, sleep, physical activity, screen time, and perceived neighborhood environment. Feasibility indicators included recruitment and retention rates. EMA compliance was assessed as the proportion of completed EMA prompts out of all scheduled prompts. Usability and acceptability were assessed using a poststudy survey. <strong>Results:</strong> Between June 2025 and December 2025, a total of 186 individuals initially expressed interest in the study, of whom 139 (74.7%) scheduled an appointment, and 132 (95%) of the latter attended the appointment. Of those who attended, 98.5% (130/132) were enrolled. Participants had a mean age of 70.1 (SD 4.04) years; 65.4% (85/130) were female, 90.8% (118/130) were Chinese, and 65.4% (85/130) had postsecondary or university-level education. All enrolled participants completed the 14-day EMA protocol, resulting in 100% (130/130) retention. Across all participants, 99% (9007/9100) of the scheduled EMA prompts were completed. The poststudy usability survey was completed by 96.9% (126/130) of the participants. Among those who completed the poststudy usability survey, 88.1% (111/126) agreed or strongly agreed that the app was easy to use, 84.1% (106/126) agreed or strongly agreed that most people would learn to use it quickly, and 87.3% (110/126) preferred the app over face-to-face interviews. Overall, 91.3% (115/126) reported being satisfied or strongly satisfied with the app, and 100% (126/126) indicated willingness to be contacted for future research. <strong>Conclusions:</strong> A 14-day smartphone-based EMA protocol was highly feasible and acceptable among community-dwelling older adults in Singapore, with high retention and compliance and favorable usability ratings. These findings support the use of EMA methodologies in aging research within Asian contexts and suggest that older adults can successfully engage with repeated smartphone-based assessments when protocols are appropriately designed and supported.

Symptom-Only Localization of Brainstem Ischemia Using Large Language Models Versus Neurologists in Diffusion-Weighted Imaging–Positive Cases: Retrospective Single-Center Study

Background: Symptom-based localization of brainstem ischemia is challenging because of the anatomical complexity of the brainstem and the nonspecific overlap of clinical syndromes. Whether large language models (LLMs) can meaningfully assist in this task remains uncertain. Objective: This study aimed to compare the performance of several OpenAI LLMs and neurologists in localizing diffusion-weighted imaging (DWI)–confirmed brainstem ischemic lesions based on symptom descriptions alone. Methods: In this retrospective single-center study, 109 patients with DWI-confirmed acute brainstem ischemia were included. Three neurologists and 6 LLMs (GPT-5, GPT-4, GPT-4.1, GPT-4o, o3, and o3-pro) predicted lesion localization using a combined anatomical-lateral end point (left or right midbrain, pons, and medulla) based on symptom descriptions alone. Overall and regional accuracy, the Cohen κ, 6-class confusion matrices, and point-biserial correlations between symptom count and correct prediction were assessed. Because all raters evaluated the same cases, paired McNemar tests with Benjamini-Hochberg correction were used for pairwise performance comparisons. Results: GPT-4 and GPT-4o achieved the highest overall accuracy (61/109, 56%; 95% CI 46.1%‐65.5%). Agreement with the DWI reference standard remained limited across all raters, with the Cohen κ reaching a maximum of 0.291 for GPT-4o. Confusion matrices showed that higher performance was driven mainly by pontine cases, whereas misclassification remained frequent in mesencephalic and medullary lesions. Regional analyses outside the pons were imprecise because mesencephalic and medullary subgroups each contained only 16 cases. A higher number of documented symptoms was associated with correct prediction for GPT-4, GPT-5, GPT-o3, and 1 neurologist. Conclusions: Although some LLMs showed higher relative accuracy than the participating neurologists, absolute performance remained limited and clinically insufficient. These findings are best interpreted as an exploratory benchmark under constrained conditions: absolute performance remained modest, agreement beyond chance was limited, and performance outside pontine lesions was inconclusive.
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Conversational mHealth Platform Designed to Support Tuberculosis Treatment Adherence in Low-Income South African Patients: Pilot Cohort Study

Background: Tuberculosis is a leading cause of death in South Africa, with poor adherence undermining treatment success. Findings from recent research on the impact of mHealth (mobile health) interventions on tuberculosis treatment outcomes show promise, yet many interventions remain untested in African contexts. Rising smartphone ownership in South Africa enables more complex mHealth interventions, offering an opportunity to deploy behavioral tools within high-burden, resource-constrained settings. Objective: This pilot study evaluates the feasibility and effectiveness, among low-income patients at a South African clinic, of a WhatsApp (Meta)-based conversational mHealth platform designed to tackle specific behavioral barriers to adherence. Aims include the following: (1) evaluating coverage by studying the proportion of patients within the target group who own smartphones, (2) describing patterns of engagement with the platform and the role of mobile data scarcity as a barrier to use, and (3) producing evidence on the impact that a behavioral mHealth intervention can have on tuberculosis treatment success. Methods: Patients newly diagnosed with drug-susceptible pulmonary tuberculosis between August 2022 and October 2023 completed a screening survey. Those owning compatible mobile phones were invited to enroll. The platform provided reminders alongside behavioral support features. Coverage was studied by estimating smartphone ownership among screened patients and comparing characteristics between enrolled patients (n=42) and those receiving standard care (n=102) using standardized differences. Engagement was analyzed using local polynomial regressions for usage trends and logistic regressions to estimate the impact of mobile data top-ups. The marginal effect of enrollment on the probability of successfully completing tuberculosis treatment was studied using a test and logistic regressions with and without covariates. Results: A total of 34% (49/146) of screened participants owned a phone that could use WhatsApp. There were differences in characteristics by enrollment status. Further, 50% of patients engaged with the platform each day until the end of treatment. Overcoming an initial inability to send unprompted messages to inactive patients was associated with an immediate 13-percentage-point increase in aggregate engagement the following month. Mobile data scarcity hindered use—receiving mobile data top-ups within the previous week was associated with a 3.37-percentage-point increase (95% CI 0.0007 to 0.0666) in platform engagement. The estimated marginal effect of enrollment was a 17.6-percentage-point (95% CI 0.003 to 0.348) increase in treatment completion, becoming attenuated after adjusting for patient characteristics (12.8 percentage points, 95% CI −0.048 to 0.304). Conclusions: While phone ownership and mobile data constraints represent barriers to feasibility, findings suggest that smartphone-based mHealth interventions may aid successful treatment completion—alleviating health system burdens by automating care for less vulnerable patients. Engagement with the platform throughout tuberculosis treatment was high and stable, and enrolled users experienced a higher success rate. A randomized controlled trial is required for impact evaluation.
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Resilience and Stress Among Health Care Workers Participating in the StressPal Frontline Program: Quasi-Experimental Pretest-Posttest Study

Background: Health care workers continue to experience heightened levels of distress and burnout, which contribute to higher levels of job dissatisfaction, turnover intentions, presenteeism, and staffing shortages. Objective: The aim of this study was to examine how participation in the StressPal Frontline: Essential Resilience Self-Care and Burnout Prevention program influenced health care workers’ stress and resilience. The study also sought to identify specific measures of perceived stress and resilience that were most affected by participation in the program and to explore whether pre-and-post differences varied based on participant characteristics. The StressPal Frontline program is a digital resilience intervention specifically developed for health care workers to enhance psychological flexibility and stress resilience. The self-paced training program, designed for approximately a 6-week period, consists of brief modules, follow-up resources, and a peer engagement community. Methods: A pretest-posttest quasi-experimental design was used to assess the effectiveness of the StressPal Frontline program in reducing stress and building resilience among 76 health care workers who voluntarily joined and completed the program. Outcome measures included the Perceived Stress Scale and the Brief Resilience Scale to assess participants’ perceptions of stressful situations and their ability to bounce back from stress. Descriptive statistics, correlation analysis, paired-samples 2-tailed test, and multiple regression analysis were conducted. The paired-samples test was calculated at the scale level and item level to evaluate the statistical significance of pretest and posttest mean differences, and the Cohen statistic was used as a measure of effect size. Statistical analysis for this study was conducted in Excel (Microsoft), SPSS (IBM Corp), and Jamovi (jamovi project). Results: The results indicated a 1.53-point reduction in the Perceived Stress Scale score after participating in the StressPal Frontline program, suggesting a statistically significant decline in average perceived stress due to participation in the program (=.004). The corresponding value of Cohen was 0.34, suggesting a small-to-medium effect of the intervention, StressPal Frontline program, in reducing perceived stress. For the Brief Resilience Scale, pre-and-post difference was not significant at the scale level (=.07); however, item-level analysis found significant increases in participants’ perception of their ability to bounce back quickly after hard times and handle difficult situations. No significant differences were found in outcome measures based on age, race, ethnicity, professional role, or practice setting. Conclusions: The StressPal Frontline program was associated with positive outcomes in reducing perceived stress. Our study also found no statistical differences in outcomes among participants of different age groups, races, ethnicities, occupations, genders, and practice settings. This is an important finding, as it indicates that the StressPal Frontline program may provide positive benefits for reducing stress across professions, settings, and individual characteristics. This program, along with other resources, could be implemented by health care organizations to support workers’ professional development, behavioral health, and well-being.
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Epitope Editing Strategy Could Enable Less Toxic Stem Cell Transplants

Stem cell transplantation and gene therapy are among the most powerful curative approaches for blood diseases such as sickle cell disease, β-thalassemia, immune deficiencies, and some blood cancers. Replacing or correcting the blood-forming stem cells can offer the possibility of long-lasting benefit or a cure. However, before patients can receive these therapies, they usually need intensive and potentially toxic chemotherapy or radiation to clear space in the bone marrow for the new stem cells.

Researchers headed by teams at Boston Children’s Hospital and Dana-Faber Cancer Institute have developed a new strategy to make stem cell transplants safer by replacing chemotherapy-based treatment with a more targeted approach. Instead of using toxic agents that damage DNA throughout the body, the team developed an donor stem cell epitope-editing strategy and antibodies that recognize surface markers only on the blood-forming stem cells that need to be depleted. Reporting on their developments in Nature (“Non-genotoxic transplantation and in vivo selection through epitope editing,”) the team demonstrated that these antibodies can help clear the patient’s existing stem cells from the bone marrow in a more selective, less toxic way.

Hematopoietic stem/progenitor cell (HSPC) transplantation (HSCT) is a cornerstone therapy for a wide range of malignant and non-malignant conditions, “… leveraging the unique regenerative capacity of HSPCs to replenish the hematopoietic system,” the authors wrote. However, they pointed out, the short-term and long-term effects of pre-transplant genotoxic conditioning represent real barriers to broader use of HSPC transplantation and gene therapies.

Although monoclonal antibodies have been proposed as alternatives to chemotherapy or radiotherapy, they are also associated with efficacy and safety challenges, the team noted. An antibody normally cannot distinguish between the patient’s original stem cells and the infused therapeutic stem cells from the treatment. If the antibody remains in the body, it may also attack these transplanted cells, preventing them from integrating. “… immune-based agents pose efficacy and safety challenges due to nonselective targeting of transplanted HSPCs and prolonged half-life, leading to on-target depletion,” the investigators stated.

Researcher Pietro Genovese, PhD, of the Dana-Farber/Boston Children’s Cancer and Blood Disorders Center, and his team solved this problem by giving the therapeutic stem cells a form of molecular protection. Using precise genome-editing tools, they made changes to a tiny recognition site—epitope—on the surface of the donor stem cells. This small change prevented the antibody from binding to the therapeutic cells, while preserving the normal function of the protein. “… we identified amino acid changes in the extracellular domain of KIT that disrupt the binding of two therapeutic monoclonal antibodies, which impair stem cell factor (SCF)-mediated signaling without affecting KIT expression or functionality,” they explained.

The edited stem cells were in effect given a molecular camouflage. They could hide from the antibody, while the unedited cells remained vulnerable. In previous work the team had used the same general principle of epitope editing to protect healthy blood stem cells from cancer immunotherapies, such as CAR T cells or therapeutic antibodies, while allowing those therapies to attack leukemia cells.

The newly reported approach included therapeutic editing of blood stem cells to increase fetal hemoglobin (HbF), a protective form of hemoglobin that can compensate for the defective adult hemoglobin found in sickle cell disease and β-thalassemia. “In our experiments, KIT and BCL11A were efficiently co-edited in primary HSPCs, endowing their progeny with both HbF induction and mAb resistance,” the investigators commented. The results showed that the protected, epitope-edited stem cells can survive antibody treatment, integrate in the bone marrow, and enrich gradually over time. The findings point to a new way to make room for transplanted cells, and also selectively favor the therapeutic cells after transplantation.

“By avoiding chemotherapy, we can open up stem cell transplants for diseases that are less severe or for fragile patients normally too sick or too high risk for transplantation,” said first author Gabriele Casirati, MD, an instructor in Genovese’s lab. “Typically, bone marrow transplants are reserved for patients with life-threatening diseases but are simultaneously limited to those patients who can tolerate the chemotherapy.”

This work could have implications for the future of both stem cell and gene therapy. First, it may help enable chemotherapy-free or chemotherapy-sparing transplantation approaches, reducing the burden of treatment for patients who currently face the risks of DNA damage. Second, because the antibody can continue to select for protected cells after transplantation, the strategy could help therapeutic stem cells reach the levels needed for clinical benefit. “In conclusion, our findings support the paradigm-shifting potential of epitope editing to design next-generation HSCT,” the team stated.

The broader significance extends beyond inherited blood disorders. Together, these studies suggest that epitope editing could become a flexible platform: one application could make stem cell transplantation and gene therapy safer, while another could expand the use of cancer immunotherapy by protecting normal blood formation from unintended damage. “… by overcoming the limitations of monoclonal antibody pharmacokinetics, epitope editing enables novel hematopoietic replacement regimens that are not limited by on-target graft elimination, allowing prolonged immune-based conditioning that maximizes hematopoietic niche clearance without chemo-radiotherapy or monoclonal antibody wash-out,” they noted.

“Although this work is still preclinical, it points toward a future in which patients may receive curative stem cell therapies with less toxicity, less reliance on chemotherapy, and greater precision,” said Genovese. “By combining targeted biological conditioning with molecularly protected therapeutic stem cells, this strategy offers a new framework for safer and more accessible treatments for a wide range of blood diseases.”

The technology used in this study is jointly owned by Boston Children’s and Dana-Farber Cancer Institute. In their paper the team commented, “We envision a future where patients receive life-saving stem cell therapies without risks of prolonged aplasia, infertility or secondary malignancies, and with minimal or no hospitalization.”

The post Epitope Editing Strategy Could Enable Less Toxic Stem Cell Transplants appeared first on GEN – Genetic Engineering and Biotechnology News.

Lung Tumors Hijack Nerve Signals to Drive Cachexia, Opening New Therapeutic Target

Cancer cachexia has long been viewed as a systemic inflammatory syndrome driven primarily by tumor-secreted molecules circulating through the bloodstream. Now, a study published in Science suggests that at least one subset of lung cancers may instead exploit the nervous system to trigger appetite loss and rapid weight loss, revealing a potential new avenue for therapeutic intervention.

Using mouse models and supporting clinical observations, researchers found that certain lung tumors produce prostaglandin E2 (PGE2), a lipid signaling molecule that activates sensory neurons in the lung. Those neurons transmit signals through the vagus nerve to appetite-regulating centers in the brainstem, ultimately driving anorexia and cachexia.

The findings challenge the prevailing view that circulating inflammatory cytokines are the primary drivers of cancer-associated wasting and instead point to direct neural communication between tumors and the brain.

“We found that there’s some subsets of lung cancer that are at high risk of developing cachexia,” said senior author Thales Papagiannakopoulos, PhD, from the Salk Institute. “We wanted to understand how the cachexia is actually mediated, and in particular the neurological symptoms related to anorexia—the lack of appetite.”

Cachexia affects up to 80% of patients with advanced cancer and contributes substantially to treatment intolerance, reduced quality of life, and mortality. Despite decades of research, effective therapies remain limited because the biological mechanisms underlying the syndrome have been incompletely understood.

One of the study’s most unexpected findings involved diet.

Clinicians have often recommended calorie-dense, high-fat foods to help patients maintain weight during cancer treatment. Instead, the investigators found that high-fat diets—particularly those rich in animal fats—accelerated cachexia in their lung cancer models.

“We found that high-energy, high-calorie, high-fat diets, particularly animal-containing fat, instead of delaying the weight loss and the cachexia, made it worse,” Papagiannakopoulos said. “That’s quite surprising, but important to know.”

The researchers traced this effect to prostaglandin E2, a bioactive lipid involved in inflammation and known to be regulated by drugs such as aspirin and ibuprofen. Tumors produced higher levels of PGE2 when animals consumed diets rich in animal fat, intensifying appetite loss.

Importantly, the investigators found little evidence that well-known cachexia-associated cytokines, including IL-6 and GDF15, were responsible for the anorexia observed in this model. Instead, the biology appeared to mirror mechanisms previously described during respiratory infections.

Studies of influenza and bacterial lung infections have shown that sensory neurons detect inflammatory signals in the lung and relay information directly to the brainstem, producing sickness behaviors such as reduced appetite, decreased activity, and diminished water intake.

Papagiannakopoulos and colleagues suspected lung tumors were co-opting this same pathway. “The tumors are sort of co-opting these infection-like scenarios,” he said. “They’re signaling to the neurons and, by doing so, directly connecting to the brain and not requiring factors in circulation.”

To test that hypothesis, the researchers disrupted communication between the lung and the brain in two different ways.

In one experiment, they surgically severed one branch of the vagus nerve, reducing neural signaling from the lung by approximately half. The intervention significantly improved anorexia. The team then used chemogenetics—a neuroscience technique that selectively turns specific neurons on or off—to inhibit only lung sensory neurons projecting to the brain. “When we did that, we could rescue the mice,” Papagiannakopoulos said. “They were able to eat and drink and move as if they didn’t have cachexia.”

While surgically interrupting the vagus nerve is unlikely to become a treatment for cancer cachexia, the experiments identified an actionable biological pathway that could be targeted pharmacologically.

One possibility is developing therapies that block the specific prostaglandin receptors on sensory neurons rather than broadly suppressing prostaglandin production with nonsteroidal anti-inflammatory drugs.

“We want to identify what receptors on the neurons prostaglandin E2 is signaling through,” Papagiannakopoulos said. “Then we could potentially use inhibitors against the specific receptors, which would be much more focused than using ibuprofen or aspirin.”

Another approach could involve neuromodulation. Devices that electrically stimulate the vagus nerve are already FDA-approved for certain inflammatory diseases, and early studies are exploring similar technologies in cancer patients.

The researchers ultimately hope to identify the precise population of vagal sensory neurons responsible for transmitting cachexia signals and determine where those neurons communicate within the brain.

Beyond cachexia, the work raises broader questions about how tumors communicate with the nervous system. Rather than acting solely through hormones and inflammatory proteins circulating in blood, cancers may directly manipulate neural circuits to produce many of the systemic symptoms experienced by patients.

“The brain acts as a central integrator of all these signals coming from the body,” Papagiannakopoulos said. “We actually think that a lot of the effects seen in cancer patients—some of them grouped under cachexia or other paraneoplastic syndromes—are mediated through the brain through these neural networks.”

If confirmed in patients, those neural pathways could represent an entirely new class of precision medicine targets aimed not at shrinking tumors themselves, but at preventing one of cancer’s most devastating complications.

The post Lung Tumors Hijack Nerve Signals to Drive Cachexia, Opening New Therapeutic Target appeared first on Inside Precision Medicine.

Impact of an Artificial Intelligence–Powered Clinical Decision Support System for Acute Kidney Injury Prevention in the Intensive Care Unit: Single-Center Uncontrolled Before-and-After Implementation Study

Background: Acute kidney injury (AKI) is a frequent and serious complication among hospitalized patients, particularly in critical care settings, where its incidence can exceed 50%. AKI is associated with increased mortality, prolonged hospitalization, dialysis dependence, and higher health care costs. Although the KDIGO (Kidney Disease: Improving Global Outcomes) guidelines emphasize supportive care, hemodynamic optimization, and avoidance of nephrotoxins, their implementation remains inconsistent, partly due to the lack of timely risk stratification. Recent advances in artificial intelligence have enhanced early prediction and detection of AKI, offering new opportunities to improve patient outcomes and intensive care unit (ICU) efficiency. The U-Care Renal Platform (UCRP; U-Care Medical S.r.l), a Conformité Européenne (CE)–marked artificial intelligence–powered medical device, integrates directly with the ICU electronic health record to continuously analyze patient data and predict the risk of moderate or severe AKI within 24 hours, providing actionable, guideline-based recommendations. While the predictive performance of UCRP has been validated previously, its real-world impact on clinical and operational outcomes in the ICU remains underexplored. Objective: This single-center uncontrolled before-and-after implementation study aims to evaluate the association between UCRP implementation and selected ICU clinical and operational outcomes in routine practice at SCIAS Hospital, Barcelona. Methods: This study was conducted as a retrospective service evaluation of a workflow-embedded clinical decision support system between March 2023 and March 2025. It included 202 postsurgical adult ICU patients. Outcomes of interest were assessed by comparing preimplementation and postimplementation periods. Months during which the UCRP was inactive were excluded from the analysis (total excluded duration: 10 months; 5 in the preimplementation period and 5 in the postimplementation period). The outcomes included the incidence of moderate-to-severe AKI (KDIGO stages 2 and 3), the use of nephrotoxic medications, the frequency of hypotensive episodes among patients with AKI, and the ICU length of stay. Results: During the postimplementation period, lower rates of moderate-to-severe AKI (9/99, 9.1% vs 12/103, 11.7%), nephrotoxic drug administration, and hypotensive episodes among patients with AKI were observed compared with the preimplementation period. Conclusions: Integration of the UCRP into ICU workflows was associated with differences in selected AKI-related process and intermediate clinical outcomes in this single-center uncontrolled before-and-after implementation study. However, given the study design, causal relationships cannot be established, and the findings should be interpreted as preliminary signals requiring confirmation in larger, controlled, and multicenter studies, including patient-centered outcomes.
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BRCA Tests Alone Miss 42% of Hereditary Cancer Risk

A study carried out in Estonia on healthy relatives of breast and ovarian cancer patients shows around 20% of those tested carried some form of genetic variant that increased their risk of developing cancer.

The study showed that BRCA1/2 cancer-associated variants, currently the most widely recognized and tested cancer predisposition genes overall, accounted for 58.4% of all pathogenic variants uncovered by the investigators, but 41.6% were in non-BRCA genes.

“A carrier rate of 19.7% is remarkably high compared with the general population and strongly supports broader and more systematic genetic testing of relatives in families affected by breast and ovarian cancer,” lead investigator Mikk Tooming, PhD, a researcher at the Institute of Clinical Medicine in Tartu, Estonia, told Inside Precision Medicine.

“The highest yield was observed when a pathogenic variant was already known in the family… However, even among relatives without a previously identified familial variant, 8% carried a pathogenic variant. This is a clinically meaningful detection rate and suggests that genetic testing should not be restricted only to families in which a specific variant has already been identified.”

The current study, published in Frontiers in Genetics, included 3,472 healthy family members of people with breast and ovarian cancer. Of these individuals, 88% were female and 12% male. Most of those tested (79%) were younger than 51 years, which is when cancer screening often starts.

The researchers retrospectively analyzed genetic results from the family members, tested at four hospitals between 2007 and 2023. Testing evolved from targeted Sanger sequencing and microarrays in the early years to broad multigene next generation screening panels covering up to 6,700 genes by 2023.

Overall, around 20% of the tested family members carried a pathogenic or likely pathogenic variant. This went up to 41.8% when a familial variant was already known, versus 8.0% when it was not. BRCA1/2 variants accounted for most variants, but 23 genes were implicated in total, with CHEK2, ATM, BRIP1, and PALB2 also prominent.

Notably, the youngest group tested, those who were 30 years or younger, were more likely to have a cancer risk variant than older groups with a rate of 28%. “Age is highly relevant because many hereditary cancer syndromes begin to confer increased cancer risk well before routine screening starts,” says Tooming. “Identifying carriers early allows surveillance and prevention plans to be implemented at the most appropriate time.”

Despite being under tested, the carrier rate of risk variants in the men tested was high at 34%. Breast and ovarian cancers are thought of as predominantly female conditions. While women may be more impacted by these cancers than men, men can also carry relevant risk variants and these can increase their risk of developing other cancers.

“Both healthcare providers and families may focus testing efforts on women, unintentionally overlooking men,” emphasizes Tooming. “This highlights a significant gap in current practice. Male carriers, particularly those with BRCA2 variants, have elevated risks of prostate cancer, male breast cancer, pancreatic cancer, and several other malignancies. Health systems should actively promote genetic counselling and testing for male relatives when hereditary cancer risk is suspected.”

The researchers support expanded testing but believe that earlier and more personalized genetic risk assessment, for example, in families known to be impacted by cancer, would produce better results than simply lowering the age of cancer screening.

“The data suggest that individuals from families affected by breast and ovarian cancer should undergo earlier evaluation for hereditary cancer risk. When a pathogenic variant is identified, surveillance should be tailored according to the specific gene and associated cancer risk,” says Tooming.

“While our study did not include longitudinal follow-up and therefore cannot directly measure reductions in cancer incidence or mortality, the high proportion of carriers identified before standard screening age strongly suggests that expanded testing has the potential to deliver substantial public health benefits in Estonia and elsewhere.”

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Human-Pig Interactions in Liver Xenotransplant Recipients: A Multi-Omics Study

A comprehensive multi-omics analysis published in Nature Medicine provides new mechanistic insights into extracorporeal liver cross-circulation (ELC) using gene-edited porcine liver xenografts, advancing understanding of the molecular and cellular interactions that will shape the clinical translation of xenogeneic liver support.

The study builds on a previously reported first-in-human decedent model in which blood from four brain-dead human recipients was circulated through ten-gene-edited porcine livers for up to 84 hours. While the initial work demonstrated that ELC could provide meaningful metabolic support, significant thrombocytopenia and evidence of host immune activation remained major barriers. The new study applies longitudinal, species-resolved multi-omics to dissect these biological responses at unprecedented resolution.

Researchers from NYU Langone Health, NYU Grossman School of Medicine, and the Perelman School of Medicine at the University of Pennsylvania profiled 64 serial blood samples using proteomics, metabolomics, and lipidomics alongside spatial transcriptomic analysis of 25 porcine liver biopsies and three native human liver samples. This integrated approach enabled simultaneous tracking of human and porcine molecular signatures throughout the xenoperfusion procedures.

Spatial transcriptomics revealed progressive infiltration of human innate immune cells into the porcine xenografts, dominated by inflammatory macrophages and neutrophils. These infiltrating cells expressed pro-inflammatory cytokines including IL1B, TNF, and IL6, while resident porcine Kupffer-like macrophages and T cells declined over time. Adaptive immune cell infiltration remained comparatively limited, suggesting that the extensive genetic engineering of the donor pigs may mitigate early adaptive rejection during short-term support.

One of the study’s most important findings was the distinct behavior of the human and porcine complement systems. While human complement proteins declined during ELC, the pig liver continued producing high levels of complement components C3 and C5 alongside acute-phase proteins and coagulation factors. The findings suggest that the xenograft actively drives innate immune and inflammatory responses rather than simply replacing liver function. Because currently available complement inhibitors are designed to target human proteins, they may not adequately suppress pig-derived complement activity, highlighting a potential need for species-specific therapeutics and additional genetic engineering to improve xenograft compatibility.

The investigators also identified candidate mechanisms underlying the profound thrombocytopenia consistently observed during ELC. Human platelets rapidly accumulated within the porcine liver, where they colocalized with activated sinusoidal endothelial cells expressing increasing levels of porcine von Willebrand factor (vWF), as well as infiltrating macrophages, neutrophils, and hepatocytes. Elevated expression of platelet adhesion receptors and evidence of platelet activation, aggregation, and phagocytosis point to a multifactorial process involving endothelial activation, innate immune responses, and platelet clearance pathways. These findings nominate multiple potential therapeutic targets, including porcine-specific vWF interactions and complement-mediated inflammatory signaling.

Beyond immune compatibility, the multi-omics analyses demonstrated sustained hepatic metabolic activity throughout the procedures. The xenografts supported bilirubin clearance, amino acid metabolism, detoxification, and synthesis of albumin, transferrin, apolipoproteins, and coagulation factors. In one recipient who underwent hepatectomy, the extracorporeal pig liver maintained critical metabolic functions for more than 48 hours in the absence of a native liver, although circulating lipid levels remained reduced during exclusive xenograft support.

The study also illustrates the growing value of systems biology approaches in transplantation research. By integrating longitudinal proteomic, metabolomic, lipidomic, and spatial transcriptomic datasets, investigators were able to distinguish donor- and recipient-derived biological processes while identifying dynamic molecular networks that would likely remain undetected using conventional analyses.

Although the cohort comprised only five ELC procedures in four decedents, it represents the most comprehensive molecular characterization of pig-to-human liver xenoperfusion reported to date. The findings provide a roadmap for improving xenograft biocompatibility through both genetic engineering and targeted therapeutics, while establishing species-resolved multi-omics as a powerful platform for biomarker discovery and mechanism-driven optimization of xenotransplantation strategies.

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Non-Invasive Brush Biopsy Test Detects Cancer Within an Hour

In the largest of its kind, involving over 1000 samples from 545 patients, a non-invasive, brush biopsy test detected oral cancer within one hour in a validation test. It is hoped the test will greatly advance oral cancer detection and prevent perhaps over 90% of unnecessary harmful scalpel biopsy procedures, which can be difficult to carry out and may damage underlying tooth and bone structure. 

“We were genuinely astonished by the fact that the brush swab test performance is comparable to a microbiopsy,” said lead author Muy-Teck Teh, PhD. “It suggests that the biological signal captured by these four genes is sufficiently strong and consistent that it can be detected even from the superficial exfoliated cells collected by a brush biopsy.”

The work was published in the Nature journal Biomarker Research by a cross-University team led by Queen Mary University of London researchers. Teh is a professor of molecular oral oncology at Queen Mary of The Centre for Oral Immunobiology & Regenerative Medicine, Institute of Dentistry, Barts and The London School of Medicine and Dentistry, Queen Mary University of London.

Oral cancer is a growing global killer. According to Global Burden of Disease data, lip and oral cancer is among the world’s most rapidly increasing causes of early death. Over ten thousand people in the U.K. were diagnosed with oral cancer last year, according to the charity Mouth Cancer, and 3637 people lost their lives. Almost 650,000 people in America are estimated to get the disease each year and more than 13,000 die from it. Worldwide, it affects 650,000 a year. Risk factors include tobacco use/smoking, alcohol, infection with the HPV virus, and sun damage. Unfortunately, more than half (53%) of all mouth cancers are diagnosed in stage IV, where the cancer is at its most advanced.

Cases Human of Papillomavirus (HPV)—specifically HPV type 16 is thought to cause a large proportion of this disease. While the HPV vaccine is having tremendous effect protecting young girls and women from HPV-related cervical cancer, there has been less pick-up of the vaccine among boys.

Oral squamous cell carcinoma (OSCCs) are usually diagnosed early using scalpel biopsies. Early diagnosis is critical for the greatest chance of survival, yet most oral potentially malignant disorders (OPMDs) are benign, and patients frequently undergo unnecessary invasive scalpel biopsies, creating diagnostic delays and harms. A scalpel oral biopsy can be extremely painful—especially the tongue (the most common cancer site)—essentially because part of the tongue is removed. But the overwhelming likelihood is that the growth is benign.”

These circumstances discourage both patients and clinicians from doing biopsies repeatedly and in a timely fashion. This study aimed to find out if a successful microbiopsy-based multigene assay (qMIDS-V2) could be adapted into a rapid, non-invasive brush biopsy test (qMIDS-V3) for accurate OSCC detection. This new test could potentially spare over 90% of low-risk OPMD patients from unnecessary invasive tissue biopsies. 

The prospective diagnostic case-control study validated a multigene mRNA test (qMIDSV3) for OSCC detection using 1090 oral brush biopsies from 545 patients. Each patient provided paired brush biopsies from oral lesion and contralateral non-lesion mucosa, including OSCC (n = 443), oral leukoplakia (OL; n = 63), and oral lichen planus (OLP; n = 39). qPCR quantified mRNA levels of four genes (INHBA, S100A16, YAP1, POLR2A) from each brush biopsy, and an algorithm generated a malignancy index for cancer risk stratification.

qMIDSV3 distinguished OSCC from OL and OLP with AUC 0.975, sensitivity 95.7%, specificity 95.1%, and overall accuracy 95.5%. False-positive and false-negative rates were 4.9% and 4.3%, showing the test has high specificity for detecting malignant cells rather than premalignant or inflammatory lesions.

The test could thus give clinicians a rapid, accurate, and non-invasive way to triage patients. It can also be repeatedly administered. “That means doctors can now monitor patients with persistent pre-malignant lesions regularly and systematically—and pick up cancers much earlier than we would have been able to before,” said Teh.

Overtesting is also a problem. In the U.K., a current 10 year audit reported a 450% rise in two week wait referrals alongside a 50% drop in cancer detection rate. Subsequent audits showed that 92.5–99.5% of referred patients were cancer free, with most (96–98%) remaining cancer free at 5-year follow up. This latest study builds on substantial of prior clinical validation. 

The team included researchers from Queen Mary University of London’s Centre for Oral Immunobiology & Regenerative Medicine, King George’s Medical University in India, Modern Dental College & Research Centre in India, and the All India Institute of Medical Sciences.

 

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