Restoring Gut Barrier Function in Crohn’s by Targeting ISR Activation

Researchers at the University of Houston, working with collaborators at Baylor College of Medicine and The University of Texas MD Anderson Cancer Center, have identified a mechanism that identifies epithelial cell stress as a one of the main drivers of Crohn’s disease, a finding that runs counter to much current thinking of Crohn’s disease as immune-mediated and instead frames it as a failure of within the intestinal barrier. The study, published in Gastro Hep Advances, shows that chronic integrated stress response (ISR) activation and a related cell death pathway, necroptosis, form a feedback loop that damages intestinal epithelial cells and prevents cell regeneration leading to sustained inflammation.

“It’s a paradigm shift from the way we’ve thought about the disease,” said senior author Seema Khurana, PhD, a professor of biology and biochemistry at the University of Houston. “Existing therapies primarily manage symptoms because we don’t know what causes the disease. We believe our research brings us closer to identifying those drivers.”

Crohn’s disease is typically treated with anti-inflammatory therapies aimed at suppressing immune activity, but only a minority of patients have long lasting benefits. This current study may help explain why anti-inflammatories only have limited benefits by showing that intestinal barrier dysfunction is not simply a consequence of inflammation but is a factor in disease development.

For their research, the team sought to discover how stress signaling within certain epithelial cells contribute to disease progression. The ISR is a conserved cellular pathway that helps cells respond to stress by temporarily reducing protein production and activating processes that restore cellular balance, including stress-response gene expression, protein quality control, and metabolic adaptation. While short-term ISR activation is a temporary response to cellular stress, the researchers found that in Crohn’s disease, ISR signaling becomes chronically activated.

“Our results identify ISR activation as a unifying hallmark of epithelial stress in CD, regardless of whether the initiating insult is intrinsic (loss of villin-1/gelsolin) or extrinsic (TNF-α dysregulation),” the researchers wrote.

The result of this chronic ISR activation is that instead of helping epithelial cells become healthy, they are instead kept in a dysfunctional state. This leads to mitochondrial stress and triggers necroptosis, a form of programmed cell death that releases inflammatory signals. The combination of ongoing stress signaling and cell death prevents epithelial regeneration and weakens the intestinal barrier, allowing microbes to infiltration tissue in the intestine further increasing inflammation.

Prior studies have focused on this form of dysfunction to Crohn’s disease, but ISR activation had not been clearly characterized as a central driver of disease development. To address this, the team used a number of different models of Crohn’s disease, including genetically engineered mice with epithelial-specific ISR activation, mice with chronic inflammation driven by TNF-α dysregulation, and patient-derived intestinal organoids. The organoids allowed the researchers to directly study human epithelial responses.

The resulting data showed that for all the models, the same pattern of chronic ISR activation, increased necroptosis, impaired epithelial survival, and failure of regenerative growth emerged.

To begin finding potential therapeutic approaches based on these new findings, the investigators then tested whether blocking these pathways could reverse intestinal damage. Using both experimental inhibitors and two FDA-approved cancer drugs, pazopanib and ponatinib, repurposed at low concentrations, they were able to suppress ISR signaling and necroptosis. This restored epithelial cell survival, improved regeneration, and reestablished barrier integrity.

“A major advance of this work is the demonstration that pharmacologic inhibition of ISR or necroptosis restores epithelial homeostasis by promoting regenerative growth of the epithelium in both murine and human models of CD,” the researchers wrote.

If additional studies can establish ISR inhibition as safe and effective for human use, this research could be the beginning of a shift in how Crohn’s disease is treated. Instead of focusing only on controlling inflammation, a new class of treatments could aim to repair the epithelial barrier directly. This approach aligns with emerging evidence that permeability barrier healing is a stronger predictor of long-term remission than traditional measures such as mucosal healing.

Further, because both pazopanib and ponatinib are already approved drugs that are known to be safe and have well characterized pharmacology profiles, the path to these new treatments could be on a fast track.

“If you had to start from scratch to identify and develop a drug, it takes 10 to 15 years and can cost between $1 billion to $2 billion,” Khurana said. “For a patient who is suffering from chronic Crohn’s disease, they’re looking for some immediate relief. Our goal was to make our findings much more translatable to real patients.”

Beyond drug development, the study points to new opportunities for improving clinical care. Biomarkers of ISR activation, such as phosphorylated eIF2α or RIPK3 expression, could help identify patients with barrier dysfunction and guide treatment decisions. Patient-derived organoid systems may also enable personalized testing of therapeutic responses before treatment.

The post Restoring Gut Barrier Function in Crohn’s by Targeting ISR Activation appeared first on Inside Precision Medicine.

Sexual Assault Prevention via Bystander Intervention Using Instagram Reels as a Communication Channel: Experimental Design Study

Background: Bystander intervention is one of the most commonly used methods to curb the sexual violence crisis on college campuses. Most universities conduct training among their student bodies to ensure students are familiar with the procedure. However, it is necessary to remind and repeat messages to audiences to underscore their importance and solidify that knowledge among populations. Objective: In this study, the author developed Instagram-type reel messages that consider multiple frameworks used to develop bystander training and programs, such as the social norms approach and bystander barriers. Methods: These messages were tested via a 4×1 experimental design study with college students at a large public university (N=157). The conditions were messages that emphasize norms (norm reinforcement condition, based on the social norms approach; n=39), messages that emphasize behavior (norm readjustment condition, based on bystander barriers; n=39), messages that underscore the discrepancy between perceived peer norm and actual behavior (combination condition, based on both the social norms approach and bystander barriers; n=39), and a control condition (n=40). Results: ANOVA analysis revealed that the norms reinforcement condition and the combination condition seemed to have the greatest impact on participants’ perceived norms and behavioral intentions. In particular, when assessing norms as the dependent variable, the reinforcement group was significantly different from the readjustment group (Δmean 0.682, SD 0.160; 001), the combination group (Δmean 0.675, SD 0.160; 001), and the control group (Δmean 0.432, SD 0.159; =.04). For behavioral intentions to engage in bystander intervention, the reinforcement group was significantly different from the control group (Δmean 0.217, SD 0.073; =.02), and the combination group was significantly different from the control group as well (Δmean 0.221, SD 0.073; 02). Conclusions: The findings indicate that these messages could work in conjunction with training as a way to underscore the importance of bystander intervention behavior. It also highlights the role that Instagram reels can play in the prevention of sexual violence on college campuses.
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Benefit of the N-of-1 Approach Versus Aggregate Analysis in Tracking Individual Trajectories During Pregnancy: Comparison of Longitudinal Wearable Observational Studies

Background: Personal digital health technologies (DHTs) enable real-time monitoring of physiological metrics and behavioral data, including heart rate variability (HRV), supporting analysis of pregnancy-related conditions and personalized care throughout the perinatal period. While recent studies demonstrate the utility of personal DHTs in tracking pregnancy-related symptoms, they often rely on aggregate statistical methods that overlook individual variability. Objective: This study aims to compare aggregate and individual-level analyses of DHT data for pregnancy-related conditions, using the comprehensive BUMP (Better Understanding the Metamorphosis of Pregnancy) dataset to highlight the importance of individual variability and data heterogeneity. Methods: We analyzed wearable and self-reported data from 256 participants enrolled in the BUMP study (January 2021 to May 2022), including HRV, sleep, and fatigue measured via Oura Rings and smartphone surveys. Individual-level (N-of-1) trajectories were evaluated and compared with aggregate results to uncover personal and collective trends. A statistical method was developed to assess the influence of adverse events and severe symptoms, while case studies explored confounding and modifying factors underlying heterogeneity. Comprehensive statistical analysis included the coefficient of determination, Kolmogorov-Smirnov tests, likelihood ratio tests, and Welch tests, with interindividual variability flagged based on high-variability thresholds. Results: Substantial interindividual variability was observed across all features. Only 4.76% (12/256) of participants exhibited an HRV inflection at the aggregate week-33 inflection point, with a coefficient of variation of 14.24%. The median value of the gestational week in individual fatigue troughs was 23 (IQR 8; range 8-38) weeks, differing from aggregate estimates. Distributional comparisons showed no statistically significant differences in individual-level model fit (²) by pregnancy complications or age ( values ranging from .06 to .99 across all model fit comparisons). Case studies further highlighted both intraindividual and interindividual differences, emphasizing the importance of considering external factors, such as adverse events and severe symptoms. Conclusions: Our findings show that aggregate wearable data often fail to generalize across populations, oversimplifying pregnancy-related physiological and subjective changes. This simplification can obscure individual trajectories, leading to generalized insights that may not reflect many pregnant women’s experiences. Our results highlight the impact of heterogeneity on pregnancy outcomes, emphasizing the need to move beyond one-size-fits-all models and leverage DHT for personalized care.
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Why Microbot Medical developed a fully disposable surgical robot

Microbot Medical is creating a “whole new category in robotics” with its fully disposable Liberty endovascular navigation surgical robot, co-founder and CEO Harel Gadot says. The medical device developer designed Liberty as a single-use system to overcome adoption barriers in robot-assisted surgery. The main barrier in endovascular surgical robotics is extended setup time, Gadot said, followed…

The post Why Microbot Medical developed a fully disposable surgical robot appeared first on Medical Design and Outsourcing.

STAT+: FDA launches effort to speed up clinical trials, using AI

WASHINGTON — The Food and Drug Administration on Tuesday announced efforts to make clinical trials more efficient, starting by reviewing data in real time from trials conducted by AstraZeneca and Amgen.  

The agency also asked the public to weigh in on a potential pilot program to work with companies that use AI to enhance safety monitoring and medication dose selections, identify safety signals, and improve patient recruitment in clinical trials. 

AstraZeneca is conducting a Phase 2 trial of its combination therapy for patients with an aggressive form of lymphoma. The trial will take place at the University of Texas MD Anderson Cancer Center and the University of Pennsylvania. Amgen is conducting a Phase 1b trial of its treatment for small cell lung carcinoma. The trials will rely on a real-time data platform built by Paradigm Health. 

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Method Identifies Cellular Makeup of Microenvironments Favoring Tumor Metastasis

Researchers at Baylor College of Medicine and collaborating institutions have developed a method that reveals the cellular makeup of tissues that support metastatic cancer growth, which is the primary cause of death for most patients with solid tumors. The technique, sortase A-based microenvironment niche tagging (SAMENT), is designed to selectively label cells encountered by cancer cells during metastasis. The team’s tests using SAMENT not only revealed cellular features shared by metastatic niches of multiple cancer models but also uncovered an unexpected driver of immune suppression in bone metastasis.

“As tumors progress, cancer cells leave the original site and spread or metastasize to other organs where they seed new tumors,” said Xiang Zhang, PhD, William T. Butler, MD, Endowed Chair for Distinguished Faculty, professor of molecular and cellular biology, and director of the Lester and Sue Smith Breast Center at Baylor. “Our lab is interested in better understanding what cellular and molecular features support metastasis as these could guide the development of therapies to prevent, slow down, or eliminate them. In the current study, we first developed a new method to identify the makeup of metastatic niches.”

Zhang, also a member of Baylor’s Dan L Duncan Comprehensive Cancer Center, is senior and corresponding author of the team’s published paper in Cell, titled “Unbiased niche labeling maps immune-excluded niche in bone metastasis.”

During metastasis, cancer cells interact constantly with other normal cells in the body, and these interactions affect cell behavior, fate, and even response to therapies. “Numerous previous studies have elucidated the roles of specific microenvironment niches (i.e., cells that are immediately adjacent to cancer cells) in the progression of metastasis,” the authors wrote.

For their newly reported study the team developed the SAMENT technology. “Our method allowed us to identify specific cells encountered by cancer cells during metastasis,” said co-first author Fengshuo Liu, graduate student in the Cancer and Cell Biology Program working in the Zhang lab. “The method, called Sortase A–Based Microenvironment Niche Tagging (SAMENT), selectively labels normal cells that come into direct contact with cancer cells.”

The authors further explained, “By combining SrtA and synthetic ligand-receptor binding, we aim to label any cells that are physically encountered by cancer cells.”

The investigators’ tests using SAMENT revealed that pro-metastatic microenvironments of multiple cancer models in all the organs studied, including bone, lung, liver, and brain, shared common features, including an abundance of macrophage immune cells and shortage or absence of immune T cells, which typically help fight tumors. “Among all cell types, macrophages occur most frequently surrounding disseminated cancer cells and appear to be phenotypically re-programmed upon interaction with metastases,” they wrote.

Liu added, “However, bone metastases stood out. We were surprised to find that macrophages surrounding cancer cells in bone metastases activated a protein called estrogen receptor alpha (ERα). This protein is best known for its role in hormone-responsive breast cancer but is much less studied in macrophages or other immune cells.” The team added, “It also plays an important role in many other cell types, including macrophages, T cells, osteoblasts, and osteoclasts.”

The study showed that macrophages with active ERα signaling were not detected in normal bone or in primary tumors in other tissues. ERα-active macrophages were also present in human bone metastasis samples from patients with breast, lung and kidney cancers—including male patients. This showed that this finding is not limited to one cancer type or to women.

The researchers also investigated how cancer cells turned macrophages, which would typically fight cancer, into their allies. Cancer cells deliver small molecules called fatty acids (FAs) to macrophages, likely through tiny particles known as extracellular vesicles (EVs). These fatty acids activate a metabolic pathway in macrophages that turns on ERα signaling. “Taken together, our data indicate that ERα expression in macrophages is driven by cancer cell-derived FAs through paracrine interaction mediated by EVs,” they wrote.

Once ERα is active, macrophages become immunosuppressive—instead of helping the immune system attack cancer, they form a barrier that physically and chemically blocks T cells from reaching tumor cells. ERα-active macrophages act as bodyguards for metastatic cancer in bone.

“To test whether ERα in macrophages can drive bone metastasis, we genetically removed the ERα gene specifically from macrophages in mice,” Liu continued. “As a result, cancer cells were far less able to colonize bone in multiple cancer models. Tumors grew more slowly, and metastases in other organs that often arise from bone tumors were also reduced. Importantly, removing ERα from macrophages did not disrupt normal bone health—bone structure and remodeling remained intact.” In their paper the scientists stated, “Taken together, our results strongly support the hypothesis that ERα in macrophages plays an important role in bone colonization.”

“When macrophage ERα was genetically removed or when mice were treated with fulvestrant, an FDA-approved cancer drug that degrades estrogen receptors, T cells were able to enter metastatic lesions in bone and kill tumor cells,” Zhang said. “Our findings support conducting future human clinical trials to assess the value of estrogen-blocking therapies combined with other therapies to treat bone metastases across multiple cancer types, in both women and men.”

The authors added, “Furthermore, as shown in the final set of experiments, inhibition of ERα in macrophages may not be effective by itself but could synergize with immunotherapies because it facilitates T cell infiltration into static lesions.” The team acknowledged that they didn’t see any synergy between Erαknockout in macrophages and anti-PD1 treatment. However, they noted, “… it is still worth exploring the combinatory effects with other immunotherapies. Therefore, our findings may warrant future clinical trials on combined endocrine and immunotherapies on patients with bone metastases, and this combination may be extended to other cancer types and to patients of both genders.”

The post Method Identifies Cellular Makeup of Microenvironments Favoring Tumor Metastasis appeared first on GEN – Genetic Engineering and Biotechnology News.

Face Photos Offer Window on Cancer Survival

An artificial intelligence tool could identify patients at increased risk of death after cancer treatment from their faces, research findings suggest.

The FaceAge algorithm captures dynamic changes in facial aging from photographs, offering a visible manifestation of the complex interplay between aging, cancer, and survival.

Patients with faces that aged rapidly between radiotherapy treatments according to the tool had a decreased chance of survival, according to the study in Nature Communications.

FaceAge assessments could therefore offer a dynamic, simple, accessible and non-invasive biomarker for cancer prognosis, which could be used to stratify risk and tailor treatment planning in oncology.

“Our study suggests that measuring FaceAge over time may refine personalized treatment planning, improve patient counseling, and help guide the frequency and intensity of follow-up in oncology,” said researcher Raymond Mak, PhD, from Mass General Brigham Cancer Institute.

Facial aging involves alterations in skin texture, loss of volume, and changes in bone structure and advances in deep learning have enabled age to be accurately estimated from visual biomarkers.

To investigate its prognostic value in cancer treatment, Mak and team developed the Face Aging Rate (FAR) biomarker.

This is calculated as the change in FaceAge between two time points divided by the time interval between the two facial photographs that were used, to provide a dynamic measure of aging over time.

A FAR value above one indicates accelerated aging that is faster than expected while a FAR value below one suggests decelerated aging.

The team tested the prognostic value of FAR in 2279 patients with different types of cancer, who underwent at least two courses of radiotherapy at Brigham and Women’s hospital between 2012 and 2023.

Face photographs taken in routine care during different radiotherapy courses at distinct timepoints were associated with survival, they reported. Specifically, a higher FAR is associated with an increased risk of death over different timeframes in stratified analyses.

For photos taken with a short interval in between, of 10 to 365 days, the adjusted hazard ratio (aHR) was 1.25, while for those with a long interval of between 731 and 1460 days, the aHR was 1.65.

The aHR was not statistically significant for the mid interval of photos taken 366 to 730 days apart.

“The association between accelerated facial aging and increased mortality risk may reflect deeper systemic biological processes, such as cellular senescence, DNA damage, and reduced tissue repair; all of which are hallmarks of both aging and cancer progression,“ the authors noted.

They added: “As research progresses, FAR has the potential to become an integral component of comprehensive cancer care and a tool to monitor changes in health more broadly, embodying the future of personalized medicine where serial facial photographs can provide profound prognostic insights.”

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Opinion: Healthcare or health care? Help STAT decide

The Associated Press Stylebook, the foundational journalism guide for how newsrooms report and write their stories, made waves last week when it decreed that “health care” should now be written as one word, not two. The change, announced at the annual ACES: The Society for Editing’s conference, was prompted by shifting usage and years of appeals to make the switch.

STAT closely follows AP style and has used “health care” since its founding in 2015. Now, we have to decide whether to adopt this new guidance, but our newsroom is divided. 

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Restoring Engagement in Digital Self-Control Tools Using Nudge Reconfiguration Prompts: Quasi-Experimental Study

Background: Digital self-control tools (DSCTs) have emerged as technological interventions to address excessive smartphone usage and promote digital well-being. However, these tools face persistent challenges with user attrition and sustained engagement, compromising their long-term effectiveness. Current literature lacks an understanding of how observable behavioral indicators, as opposed to self-reported measures, are associated with user engagement and readiness to change in DSCTs. Objective: This study addresses three research questions (RQs): (RQ1) whether prompting passive DSCT users to reconfigure nudges increases subsequent user-nudge interaction, (RQ2) how engagement evolves over time and what behavioral divergence emerges between accepting and rejecting users, and (RQ3) whether observable in-app behavioral indicators are more strongly associated with intervention acceptance than traditional self-reported measures. Methods: We conducted a quasi-experimental study (N=252) targeting users who had disabled nudges. Participants were randomly assigned to receive a prompt to reconfigure their nudge settings during daily check-ins (n=138, experimental group) or to a control condition (n=114, no intervention). The experimental group was further classified into acceptance and rejection subgroups based on their response to the intervention. Data collection included DSCT configuration logs, usage-triggered nudge logs, and self-reported questionnaire responses. We analyzed user-nudge interaction ratios using difference-in-differences with permutation tests (RQ1) and nudge configuration parameters and manual app blocking using independent-samples tests with Cohen (RQ2) and compared behavioral indicators against self-reported measures using tests and chi-square tests (RQ3). Results: Of the experimental participants, 46% (63/138) accepted the nudge reconfiguration prompt. Post intervention, the acceptance subgroup’s 7-day average user-nudge interaction ratio increased from 29.7% to 58.5% (peak of 65% on day 1), a significant increase even after controlling for the temporal decline observed in the control group (difference-in-differences=+36.3 percentage points, <.001). The rejection subgroup’s decline was not significantly different from the control group’s decline (=.82). The acceptance subgroup showed preexisting behavioral indicators of higher readiness to change, including 21.53% shorter consecutive usage thresholds (=.03) compared to the rejection subgroup, with a directionally consistent but nonsignificant difference in cooldown length (+20.56%). Behavioral divergence in consecutive usage thresholds widened post intervention, with Cohen increasing from −0.47 to −0.67 (=.002). Acceptance subgroup participants demonstrated a significantly lower tendency to select leisure-oriented daily goals (15.6% vs 26.2%; chi-square =.001, Cramer =0.13). Self-reported measures of screen time goals and scrolling regret were not significantly associated with intervention acceptance (>.10). Conclusions: Observable in-app behavioral indicators, rather than self-reported measures, effectively differentiate intervention receptiveness. Study results suggest that effective DSCT design should incorporate adaptive strategies that recognize and respond to users’ readiness to change, as evidenced by their in-app behaviors, while preserving autonomy. Such systems are likely to outperform static interventions or designs that rely solely on self-reported preferences.

Opinion: FDA commissioner: ‘Smarter,’ real-time clinical trials could transform drug development

Why does it take a new drug 10 years, on average, to come to market? Part of the reason lies in the dead time in the process.  

Historically, trials have required tedious tabulations and repeated application submissions between phases, which is why 45% of the time from a Phase 1 trial until final submission is spent without any ongoing clinical trial in progress — idle time in the system.   

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