STAT+: Kennedy focuses on affordability, combating fraud in Capitol Hill hearings

WASHINGTON — Health Secretary Robert F. Kennedy Jr. returned to Capitol Hill Thursday, where he defended the administration’s efforts to fight health care fraud and improve affordability — and worked to avoid discussions about vaccine policy.

An hours-long Ways and Means hearing Thursday morning covered a wide range of topics related to Kennedy’s Department of Health and Human Services and kicked off a marathon series of testimonies about the president’s proposed budget.

Later, during a hearing with the House Appropriations health subcommittee, Kennedy said the president would release the name of the nominee to lead the Centers for Disease Control and Prevention before the end of the week. (Soon after, Trump announced the nominee.)

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Brain Circuits Underlying Placebo Pain Relief Identified in Mice

Though the placebo effect is a well documented phenomenon, the neurological mechanisms that underlie the process are still not fully understood. Now scientists from multiple institutions led by a team at the University of California San Diego (UCSD) have pinpointed the brain circuitry in mice that they believe is responsible for placebo pain relief. Details of their findings are published in a new paper in the journal Neuron. In it, they describe brain regions that support placebo effects and highlight sites where endogenous opioid neuropeptides send signals that are important for placebo pain relief. 

The paper is titled “Top-down control of the descending pain modulatory system drives multimodal placebo analgesia.” According to the team, theirs is the first study to establish placebo mechanisms by adapting a protocol used for humans to work in mice. Working alongside labs at the University of Pennsylvania, University of California Irvine, and elsewhere, the UCSD team detected activity in parts of the mouse brain that correspond to those previously implicated in human studies. Furthermore, by precisely mapping neural pathways and brain activity in the mice, the team identified essential roles for neural circuits that link the cortex to the brainstem and spinal cord during placebo pain relief. 

They also found that training mice to exhibit a placebo effect with one type of pain results in relief from several different types of pain including pain from injuries. That is particularly notable because it has “direct implications for how placebo training in humans might be used to produce resilience to future pain that results from injury,” explained Matthew Banghart, PhD, an associate professor in UCSD’s neurobiology department and lead author on the study. The findings also open a door to “expectancy-driven” placebo effects as a substitute for addictive painkillers, he noted, meaning that it might be possible to use placebo conditioning to train patients to build preemptive resilience to pain.

Full details of the findings and methods used are provided in the paper. In it, the teams explain that they used sensor technology and a light-activated drug developed in the Banghart lab to study the role of naturally-occurring opioid peptides in the brain. Specifically, they used the sensors to detect opioid peptide signaling in the ventrolateral periaqueductal gray (vlPAG) region, a known hub for pain signaling, during placebo trials. They then used the light-activated drug called photoactivatable naloxone, or PhNX, to establish that these opioid peptides actually drive pain relief in a manner similar to drugs like morphine. The light allowed the scientists control and timing of the opioid signaling interference. Using PhNX, they confirmed that both morphine-induced pain relief and placebo pain relief use the same opioid signaling pathway in the vlPAG region of the brain. 

Essentially, “we trained a mouse brain to create its own broad-spectrum painkillers on demand, precisely where they are needed to treat pain, without the off-target effects of opioid-based painkillers,” said Janie Chang-Weinberg, a PhD student in the biological sciences graduate program at UCSD and one of the first authors on the study. 

Future studies planned by the team will dig more deeply into how placebo learning unfolds in the brain and evaluate different placebo training strategies in mice with an eye towards developing protocols that readily translate to produce placebo pain resilience in people living with chronic pain.

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Proteins.1 Launches to Develop Single Molecule Protein Amplification Tech for Diagnostics

Finnish deep-tech startup, Proteins.1, launched with €4.7 million in pre-seed funding, led by Lifeline Ventures and Cloudberry Ventures, with in-kind support from VTT and Business Finland. Harnessing technology transferred from VTT Technical Research Centre of Finland, Proteins.1 is developing a PCR-like enzyme-free, ultra-sensitive amplification platform for the detection of proteins at the single-molecule level. The firm says it aims to transform early disease diagnostics by enabling detection of disease-related molecular warning signals long before there are clinical signs.

While polymerase chain reaction (PCR) technology has transformed modern diagnostics by allowing tiny amounts of DNA to be amplified into detectable signals, no equivalent amplification method has existed for proteins, which often signal the earliest onset of cancer, neurodegeneration, cardiovascular disease, and inflammatory conditions, the company notes. Proteins.1 aims to leverage its technology to establish a new category of ultra-sensitive protein diagnostics, combining high multiplexing, scalable chip-based detection, and significantly lower capital costs compared to existing systems.

The patented, physics-based technology introduces cyclic signal amplification for proteins, potentially enabling up to 1,000 times better sensitivity than current gold-standard platforms, Proteins.1 claims. Unlike conventional immunoassays that rely on enzymatic reactions prone to variability and noise, the Proteins.1 approach is solid-state, enzyme-free, and compatible with semiconductor-based photonic detection.

The platform replaces enzymatic signal amplification with a physics-based magnetic cycling mechanism that repeatedly reads a single captured protein molecule, accumulating signal clarity without increasing background noise. The company says this supports ultra-high sensitivity combined with high multiplexing, potentially enabling the simultaneous measurement of hundreds of biomarkers from a few drops of blood.

“For decades, diagnostics has been limited not by biology, but by what our instruments can detect,” commented Proteins.1 co-founder and CEO Prateek Singh, who is inventor of the core technology. “The body produces early warning signals long before disease becomes visible. Our mission is to make those signals measurable and actionable, years earlier than today.”

Built on research conducted at VTT and further validated through European Union breakthrough innovation funding, the technology has been granted U.S. and Finnish patents, and additional international applications are pending. Initially, the company aims to develop research-use-only applications in oncology, neurology, and immunology, before progressing toward regulated clinical diagnostics. “Early detection dramatically improves survival rates in diseases such as cancer and neurodegenerative disorders,” Singh continued. “If we can detect disease at the molecular stage rather than the symptomatic stage, we entirely change treatment possibilities.”

Proteins.1 plans to expand its engineering and product development team in Finland during 2026–2027, positioning itself as a European hub for next-generation diagnostic technology. “Proteins.1 represents the kind of deep scientific breakthrough that can redefine an entire industry,” said Jyri Engeström at Lifeline Ventures. “The team combines world-class research with proven experience in building and scaling regulated medtech businesses.” Cloudberry Ventures further highlighted the company’s strong alignment with European strengths in photonics, microfabrication, and precision engineering.

Added Rene Kromhof, at Cloudberry VC, “What sets Proteins.1 apart is a fundamentally new sensing approach. Rather than using enzymes that give you one chance to detect a protein, they use light and thin-film transistors to amplify the signal from a single protein until it rises above the noise. That dramatically improves sensitivity, and ultimately, how early disease can be caught.”

CEO Prateek Singh has previously raised venture capital for microfluidics ventures and holds multiple patent families. Co-founder and COO Harri Hallila previously built and exited a regulated medical device company. The broader team includes commercial leadership with experience in leading diagnostics platforms.

The post Proteins.1 Launches to Develop Single Molecule Protein Amplification Tech for Diagnostics appeared first on GEN – Genetic Engineering and Biotechnology News.

Artificial Intelligence Design for Race-Based Prostate Cancer Stage Classification With Multilayer Perceptron: Feature Selection Optimization Approach

Background: Prostate cancer progression exhibits significant variability influenced by biological and racial factors. DNA methylation profiling has shown potential in early cancer detection, but its integration with machine learning across racially diverse populations remains limited. Objective: This study aimed to develop a prostate cancer stage classifier for the majority White cohort using DNA methylation data and a multilayer perceptron (MLP) model in order to classify prostate cancer stages into early (stages I-II) and late (stages III-IV) stages and assess its performance when applied to other racial groups to highlight the need for race-specific models. Methods: Methylation and phenotype data from the TCGA-PRAD (The Cancer Genome Atlas Prostate Adenocarcinoma) dataset were processed using differentially methylated position (DMP) analysis to identify CpG sites correlated with cancer stages. These features were further refined through recursive feature elimination (RFE) and used to train MLP models. Shapley Additive Explanations (SHAP) and Local Interpretable Model-Agnostic Explanations (LIME) were used to interpret the model and identify key DNA methylation features contributing to model predictions. Results: The best-performing model achieved 95% accuracy and up to 99% area under the curve on the majority race (White) training data using 90 selected features. However, performance declined sharply in racial minority groups, revealing the effects of sample imbalance and race-specific methylation patterns. Feature importance examination indicated strong patterns within certain CpG sites driving model predictions. Conclusions: We propose a race-aware MLP model for prostate cancer stage classification using DNA methylation data, which has been optimized through DMP and RFE-based feature selection. SHAP and LIME confirmed the predictive relevance of selected CpG sites, supporting model transparency. The results highlight high performance within the White cohort but reveal poor generalization to racial minority groups, emphasizing the importance of race-specific modeling strategies.
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A Survey of Primary Care Clinician Experiences With Electronic Health Record–Based Clinical Decision Support to Improve HIV Pre-Exposure Prophylaxis Prescribing

A survey of primary care clinicians suggests that a clinical decision support tool to support sexual risk assessment and prescribing of HIV pre-exposure prophylaxis was appropriate and useful for identifying at-risk patients, but uptake was hindered by workflow and usability barriers, which underscores the importance of postimplementation clinician feedback to improve the use of clinical decision support tools.
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A Digital Inclusion Intervention to Improve Access to a Digital Health Intervention Among Digitally Excluded Adults: Mixed Methods Pilot Randomized Controlled Trial

Background: The National Health Service 10-year health plan emphasizes an increasing shift toward digital health care delivery. However, there is limited research on how best to support, engage, and include individuals who are digitally excluded. As health care services become more digitally driven, evidence-based interventions are needed to address digital exclusion and ensure equitable access to care, particularly for people living with long-term conditions. Objective: This study aimed to evaluate the feasibility and acceptability of providing digital literacy training alongside a digital health intervention (DHI; Ex-Tab intervention), compared with providing a DHI alone. Kidney Beam, a DHI designed to promote physical activity and improve quality of life in people with chronic kidney disease (CKD), was used as an exemplar DHI. Methods: This mixed methods, single-site pilot randomized controlled trial recruited 40 adults with CKD who were digitally excluded. Digital exclusion was defined as lacking access to a Wi-Fi–enabled digital device or having a Digital Health Care Literacy Scale (DHLS) score of <7 (range 0‐21). Participants were randomized 1:1 to receive either the Kidney Beam Ex-Tab intervention or Kidney Beam alone (control). The intervention group received a Wi-Fi–enabled iPad on loan with Kidney Beam preinstalled, digital literacy training, and ongoing support to access the 12-week Kidney Beam program (twice weekly live exercise and education sessions). The control group received sign-up instructions for Kidney Beam only. Feasibility outcomes were assessed against a priori progression criteria and included screening, recruitment, retention, adherence, safety, and acceptability. Secondary outcomes included the Kidney Disease Quality of Life Questionnaire, Chalder Fatigue Questionnaire, and Patient Health Questionnaire-4. Outcomes were measured at baseline and 12 weeks. Acceptability and user experience were explored through semistructured interviews with participants from both groups at 12 weeks (n=25). Results: Between September 2023 and September 2024, a total of 169 individuals were screened and 40 were enrolled (median age 66.5 years; 20 male individuals; median DHLS score: 4). Twenty-one participants were randomized to the Kidney Beam Ex-Tab group and 19 to the Kidney Beam alone group. Of the 40 participants, 35 (88%) completed the 12-week follow-up (intervention: n=18; control: n=17). All prespecified feasibility criteria for recruitment, retention, adherence, and safety were met. Qualitative findings indicated that the tablet loan and digital literacy training were acceptable and highly valued, enhancing confidence, motivation, and DHI engagement. Providing loaned devices was particularly important for overcoming access barriers, especially for participants unable to afford their own device. Conclusions: Providing Wi-Fi–enabled devices and digital literacy training alongside a DHI was feasible and acceptable for people with lower digital literacy levels. The findings support progression to a future definitive multicenter trial or implementation study and offer transferable insights for the design of digital inclusion strategies for other long-term health conditions. Trial Registration: ClinicalTrials.gov NCT04872933; https://clinicaltrials.gov/study/NCT04872933

Feasibility and Acceptability of an eHealth-Based Physical Activity Coaching Intervention During Pulmonary Rehabilitation for People With Chronic Obstructive Pulmonary Disease: Mixed Methods Study

Background: Physical inactivity is a modifiable and significant trait in people with chronic obstructive pulmonary disease (COPD). While traditional exercise-based pulmonary rehabilitation (PR) improves symptoms and exercise tolerance, its impact on physical activity (PA) levels remains limited. Digital health (eHealth) interventions may help address this gap. Objective: This study aimed to assess the feasibility and acceptability of integrating an eHealth PA coaching intervention into PR for people with COPD. Methods: Patients enrolled in an outpatient PR program were recruited for a 3-week PA coaching intervention, which used a smart band connected to a mobile patient app and a web application for health care professionals (HCPs). The intervention included PA monitoring (steps per day); weekly goal setting; and app notifications for goal updates, achievement, and motivational messages. Weekly telephone calls supported goal adjustment and identification of PA barriers. The acceptability of the intervention was explored through a patient focus group. Results: Five patients with COPD (mean 67, SD 9 years; n=4, 80% female; mean predicted forced expiratory volume at 1 second of 49%, SD 23%) participated with 100% retention and adherence to the intervention (daily synchronization). No adverse events or PA barriers were identified. One patient reported an app connection issue that was resolved by restarting the app. Patients found the app easy to use and helpful for their PA awareness and remote monitoring by HCPs. Weekly goal adjustments and contact with an HCP were valued. Limitations regarding the app use included a lack of personalization, goal setting restricted to steps, and occasional step miscounts. Conclusions: The intervention was feasible and well accepted. Future studies with a larger sample are needed to assess the impact of the intervention on PA outcomes.
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Advances in Stem Cell‑Derived Insulin‑Producing Cells for Type 1 Diabetes

Researchers at Karolinska Institutet and KTH Royal Institute of Technology have developed an improved method for creating insulin-producing cells from human stem cells. In a newly published study, the team demonstrated that these cells effectively regulate blood sugar levels in laboratory tests and can reverse diabetes in mice.

“We have developed a method that reliably produces high-quality insulin-producing cells from multiple human stem cell lines,” said Per-Olof Berggren, PhD, professor at the Department of Molecular Medicine and Surgery, Karolinska Institutet. “This opens up opportunities for future patient-specific cell therapies, which could reduce immune rejection.” Berggren and Siqin Wu, PhD, researcher at Spiber Technologies AB (formerly at Karolinska Institutet), are co-corresponding authors of the researchers’ published paper in Stem Cell Reports, titled “An optimized protocol for efficient derivation of pancreatic islets from multiple human pluripotent stem cell lines.”

Type 1 diabetes (T1D) occurs when the immune system destroys insulin-producing cells in the pancreas, meaning the body can no longer absorb glucose from the blood and regulate blood sugar levels. “In type 1 diabetes (T1D), autoimmune destruction of β cells results in loss of glycemic control,” the authors wrote.

One possible treatment strategy is to replace these cells with new ones. However, previous methods of producing such cells from stem cells have often yielded mixed results. Stem cell therapy for type 1 diabetes is already being tested in several clinical trials. However, a challenge with previous methods is that the stem cells often develop into a combination of the desired and undesired cell types, increasing the risk of complications. Another challenge is that the insulin-producing cells created are often not mature enough to respond well to glucose.

“The success of cell therapy for type 1 diabetes (T1D) depends on reliable differentiation of stem cells into functional pancreatic islets,” the authors noted. They pointed out that previous protocols have exhibited variable efficiency across different human pluripotent stem cell (hPSC) lines. “Differentiation beyond the stage (S) 4 pancreatic progenitor (PP) stage frequently yields heterogeneous cultures containing proliferative non-endocrine cells and immature endocrine cells … increasing the risk of cyst or tumor formation,” the team further commented.

The newly optimized production process reported by Berggren and colleagues yields more mature and purer insulin-producing cells than previous methods. In a laboratory setting, the cells were able to secrete insulin and responded strongly to glucose. When the researchers transplanted these cells into streptozotocin (STZ)-induced diabetic mice, the animals gradually regained the ability to regulate their blood sugar. “By adjusting the culture steps and allowing the cells to form three-dimensional clusters themselves, many unwanted cell types are eliminated and the cells gain a better ability to respond to glucose, according to the researchers. “Single-cell analyses show that the SC-islets are free of non-endocrine cell populations before and after transplantation,” the team stated.

The transplantation was performed in the anterior chamber of the eye (ACE) which provides a transparent and accessible site for noninvasive monitoring of engrafted SC-islets through the cornea, the team pointed out. Transplantation into this compartment is also straightforward and minimally invasive.  In their paper, the team noted, “Intraperitoneal glucose tolerance tests (IPGTT) at three, four, and six months post-transplantation showed improved glucose handling over time … SC-islet transplantation reversed hyperglycemia by three months, and by five–six months blood glucose levels fell slightly below pre-STZ baselines.”

Berggren commented, “This is a technique we use to monitor the development and function of the cells over time in a minimally invasive way. We observed that the cells gradually matured after transplantation, retaining their ability to regulate blood sugar for several months, which demonstrates their potential for future treatments.”

Fredrik Lanner, PhD, professor at the Department of Clinical Science, Intervention and Technology, Karolinska Institutet, and last author of the paper, added, “This could solve several of the problems that have previously hindered the development of stem cell-based treatments for type 1 diabetes. Building on this, we will work towards clinical translation aiming at treating type 1 diabetes.” In their report the authors concluded, “Our protocol generated glucose-responsive SC-islets from all eight hPSC lines tested … demonstrating potential for autologous applications … Our efficient differentiation protocol represents a key step toward autologous cell therapy, though further work is required to realize this goal.”

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Brain Gene Variations Help Explain Neurological and Psychiatric Sex Differences

Thousands of genes are expressed differently in the brains of men and women, researchers have discovered.

The findings could help explain differences in neurodevelopmental, psychiatric, and neurodegenerative disorders between the sexes.

While men are more likely to experience schizophrenia, attention deficit hyperactivity disorder, and Parkinson’s disease, women are more prone to mood disorders and Alzheimer’s disease.

The U.S. study, in Science, is the first systemic single-cell survey of sex differences in gene expression across multiple regions of the human brain.

“Together, these findings provide a comprehensive map of molecular sex differences in the human brain and offer initial insight into their underlying mechanisms and potential functional consequences,” Alex DeCasien, PhD, from the National Institute of Mental Health in Bethesda, Maryland, told Inside Precision Medicine.

DeCasien and co-workers conducted a high-resolution analysis of gene expression in tissue samples from the brains of 15 men and 15 women using single-nucleus RNA sequencing.

They then used data from earlier large neuroimaging studies to select six cortical regions to sample, four of which showed sex-related differences in grey matter volume and two in which no such differences were found.

The team found subtle but widespread differences in gene activity between men and women. Biological sex explained very little of the variance in gene expression across the brain, at less than 1%, but differences were widespread—with more than 3000 genes showing different expression according to sex in at least one cortical region.

The greatest sex-related differences in gene expression were on the sex chromosomes. However, most of the genes showing sex-related variations in expression were autosomal—carried on one of the 22 numbered non-sex chromosomes.

The predominant driver for sex-biased expression of genes on these autosomal chromosomes were sex steroid hormones such as estrogen and testosterone.

Surprisingly, more than half the X chromosome genes in women were expressed in both alleles for at least one cell type. This indicated that many had escaped X chromosome inactivation—a female phenomenon in which one of the two X chromosomes is switched off early in development to stop women producing double the number of X-linked gene products to men.

“That finding has implications for understanding sex-biased disease susceptibility because several genes implicated in neurodevelopmental disorders reside on the X chromosome,” commented Jessica Tollkuhn, PhD, from Cold Spring Harbor Laboratory, and S Marc Breedlove, from Michigan State University, in an accompanying Perspective article.

They noted that autosomal genes showing sex-biased expression were substantially enriched for extracellular matrix components, hormone signaling pathways, and metabolic processes. “Genes with greater expression in women were enriched for mitochondrial and synaptic functions, whereas male-biased genes were associated with metabolic and structural pathways,” the editorialists added.

“By pinpointing these sexually differentiated processes, the data provide a treasure trove for the discovery of biomarkers of and/or therapeutic targets for differential disease risk in men and women.”

DeCasien and team added: “These findings raise the possibility that sex differences in gene expression modulate the magnitude of genetic effects at risk loci, contributing to differences in disease vulnerability and to reduced portability of polygenic risk prediction across sexes.”

The post Brain Gene Variations Help Explain Neurological and Psychiatric Sex Differences appeared first on Inside Precision Medicine.

Aging Immune Cells Linked to Fatty Liver Disease 

UCLA researchers have found that macrophages with a senescent phenotype may be actively driving progression of fatty liver disease. A study published today in Nature Aging reports that clearing this aging cell population in mice dramatically reduced liver inflammation and reversed damage even without any dietary changes. 

“Senescent cells are fairly rare, but think of them like a broken-down car,” said Anthony J. Covarrubias, PhD, assistant professor at the UCLA David Geffen School of Medicine and senior author of the study. “Just one stalled car can back up traffic for miles. Now imagine five or ten of them slowly accumulating. That’s what these cells do to a tissue: even a small number causes enormous disruption.”

As cells age and become senescent, they are known to drive chronic inflammation across a range of tissues. While previous research has shown that eliminating senescent cells can improve health and lengthen lifespan, there is still a limited understanding of which cells undergo the senescence process and how to distinguish them from healthy cells.

This is especially the case for cells that naturally share hallmark features with senescent cells, as is the case of macrophages; when activated, macrophages secrete a range of inflammatory cytokines and immunomodulatory metabolites that many senescent cells also produce when driving chronic, age-driven inflammation. 

The researchers found that no single biomarker was enough to identify senescent macrophages. Instead, they identified that this aging cell population was defined by the simultaneous expression of p21 and Trem2 proteins, together with altered nuclear morphology, lipid metabolism and type I interferon (IFN) hyperactivation.

In mice, senescent macrophages carrying this molecular signature were found to surge from 5% in young mice to up to 80% in older ones, correlating with a rise in chronic liver inflammation during normal aging. In addition, excess cholesterol was found to push macrophages into a senescent state where they stopped dividing, increased secretion of inflammatory proteins and activated expression of p21 and Trem2. 

“Physiologically, macrophages can handle cholesterol metabolism,” said Ivan A. Salladay-Perez, graduate student in the Covarrubias lab and lead author of the study. “But in a chronic state, it’s pathological. When you look at fatty liver disease, which is driven by overnutrition and too much cholesterol in the blood, that excess cholesterol appears to be a major driver of the senescent macrophage population.”

Experiments using a publicly available genomic dataset of patient liver biopsies found that the same senescent macrophage signature was increased in diseased livers compared to healthy ones, suggesting they also play a role in chronic liver disease in humans. 

In mice with a high-fat, high-cholesterol diet, a drug that selectively kills senescent cells was found to reduce overall body weight and make livers healthier—smaller and with a lower fat percentage. These findings suggest that clearing senescent macrophages from the liver does not just slow the progression of fatty liver disease, but can actually reverse it without changing the diet. 

Because the drug tested in mice is too toxic for humans, the researchers plan to begin drug screening studies to identify new compounds that can replicate these effects. They will also be exploring whether this therapeutic target could be expanded to a range of other age- and cholesterol-driven conditions where senescent macrophages have been observed.

“It all goes back to understanding how these cells arise in the first place,” said Salladay-Perez. “If you really understand the basic mechanisms driving inflammation with aging, you can target those same mechanisms to treat not just fatty liver disease, but atherosclerosis, Alzheimer’s and cancer.” 

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