Opinion: The psychedelic revolution is leaving behind people of color

Flanked by one of psychedelics’ biggest celebrity cheerleaders, Joe Rogan, and a troupe of MAHA loyalists, President Trump recently signed an executive order aimed at accelerating psychedelic access for clinical research and treatment.

Use of naturally occurring and synthetic hallucinogens traces back to the Neanderthals. Yet these substances have long been a pariah in mainstream medicine, written off as “club drugs” with little to no clinical value (or worse, downright negative effects).

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Current Landscape of Mental Health Conversational Agents From a Trauma-Informed Care Lens: Scoping Review

Background: Conversational agents (CAs) are increasingly used in mental health care to enhance access and engagement. However, their safe, ethical, and user-sensitive design remains a challenge. Despite growing attention to trauma-informed approaches in human-computer interaction, there is limited work on how the trauma-informed care (TIC) framework could be applied in the design of mental health CAs and no comprehensive synthesis to date. Objective: Guided by the Substance Abuse and Mental Health Services Administration’s TIC framework, this scoping review explored how TIC principles (safety; trustworthiness and transparency; collaboration and mutuality; empowerment, voice, and choice; peer support; and cultural, historical, and gender issues) are currently represented in the design and evaluation of mental health conversational agents (MHCAs) and identified gaps and opportunities to promote more trauma-informed design practices. Methods: Online databases, as well as a secondary survey of citation lists from an initial search, were used to identify English-language journal articles and conference proceedings from 2000 to 2024 that empirically evaluated an independent, web- or app-based, unassisted CA used for mental health and included concepts from TIC. Results: Our analysis included 38 publications (n=28, 73.7%, published in 2020 or later) covering 28 distinct MHCAs. Most studies used experimental methods (n=23, 60.6%) or user studies (n=11, 28.9%), with samples skewed toward female (men: mean 34.92%, SD 18.64%), young in age (mean 32.52, SD 14.6 y), and predominantly nonclinical (n=29, 76.3%). MHCAs were largely rule-based prototypes. No studies explicitly referenced the TIC framework as a guiding lens for MHCA design or evaluation. A total of 26 studies referenced terminology from TIC core principles but rarely defined them, while all 38 included language that could be linked to one or more principles. Overall, TIC-related concepts appeared most often within intervention design descriptions, qualitative assessments, or as items embedded in questionnaires evaluating broader constructs. Trustworthiness and transparency, safety, empowerment, voice and choice, and collaboration and mutuality were comparatively well addressed, while peer support and cultural, historical, and gender issues were largely absent. Design recommendations, where present, were relatively broad and emphasized secure, customizable, reliable, human-like, and context-sensitive MHCAs that offered multimodal interaction, goal setting and tracking, and transparency. Conclusions: Studies did not self-identify as using Substance Abuse and Mental Health Services Administration’s framework for TIC, making it more difficult to identify its elements. The fragmented terms, disciplines, and metrics used make it difficult to draw more systematic conclusions about the current research landscape related to TIC, but our analysis indicates TIC to be a descriptive and potentially unifying framework and provides a starting point for the explicit trauma-informed MHCA research and design.
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Brain Glucose Levels Act as a Metabolic Switch for Myelin Formation

Scientists have long known that myelin doesn’t appear everywhere in the brain at once. Some regions myelinate early, others much later, and the timing shapes everything from motor development to cognitive maturation. What has remained elusive is why these regional differences emerge in the first place. A new study in Nature Neuroscience, titledGlucose-dependent spatial and temporal modulation of oligodendrocyte progenitor cell proliferation via ACLY-regulated histone acetylation,” points to an unexpected driver: shifting glucose levels that act as a metabolic switch, telling progenitor cells when to divide and when to mature into myelin‑forming oligodendrocytes.

The work, led by researchers at the Advanced Science Research Center at the CUNY Graduate Center (CUNY ASRC), maps glucose distribution across the developing mouse brain and reveals that these spatial and temporal fluctuations are not just metabolic background noise. They are instructive signals. “Regions with high glucose levels exhibited greater OPC proliferation and histone acetylation than regions with low glucose,” the authors wrote in the paper’s abstract, suggesting glucose as a key regulator of oligodendrocyte progenitor cell (OPC) population dynamics.

Using MALDI imaging at the CUNY ASRC MALDI Imaging Core Facility, the team visualized glucose concentrations across brain regions during early development in mice. Areas rich in glucose contained actively dividing OPCs, while regions with lower glucose levels harbored cells beginning to differentiate into oligodendrocytes. This pattern suggested that glucose availability helps determine whether OPCs expand their numbers or transition toward myelin production.

“Our findings show that glucose is not just fuel for the brain, it’s also a signal for the cells to divide,” said lead author Sami Sauma, PhD, a postdoctoral researcher with the CUNY ASRC Neuroscience Initiative. “When glucose levels are high in a particular brain region, progenitors use it to drive proliferation. As glucose levels shift, the same cells switch gears and begin maturing.”

An enzyme, ATP‑citrate lyase (ACLY), which converts glucose‑derived citrate into acetyl‑CoA in the nucleus, is central to this process. This acetyl‑CoA fuels histone acetylation, activating genes required for cell proliferation. When the researchers deleted Acly in OPCs, the cells could no longer proliferate efficiently, leading to a temporary reduction in myelin due to decreased OPC numbers. Yet differentiation still occurred, thanks to a compensatory pathway: mature oligodendrocytes can generate acetyl‑CoA outside the nucleus from alternative fuels such as ketone bodies.

This metabolic flexibility proved more than a biochemical curiosity. When mice lacking ACLY in OPCs were placed on a ketogenic diet, their myelin deficits improved. “The same cell lineage interprets different metabolic signals at distinct stages of development,” said senior author Patrizia Casaccia, MD, PhD, founding director of the CUNY ASRC Neuroscience Initiative. “By understanding how glucose and alternative energy sources regulate proliferation and myelin formation, we are uncovering new metabolic strategies that could be harnessed to protect myelin in the developing brain.”

The developmental window examined in mice corresponds to roughly 32 to 40 weeks of human gestation—a period when premature infants are particularly vulnerable to white‑matter injury. The findings raise the possibility that metabolic support during this stage could help preserve the progenitor cells responsible for building myelin. They may also inform future approaches to repairing myelin in disorders such as multiple sclerosis.

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STAT+: Katherine Szarama named acting director of FDA’s vaccines and biologics center

WASHINGTON — The Food and Drug Administration has named Katherine Szarama as the acting director of the Center for Biologics Evaluation and Research, which regulates vaccines, gene therapies, and the blood supply. 

A Health and Human Services official confirmed the move, which was first reported by Politico, to STAT. 

She is replacing Vinay Prasad, who left the agency on Thursday after a tumultuous tenure during which he issued a series of controversial decisions on rare disease drugs and vaccines. FDA Commissioner Marty Makary said in March that Prasad would return to the University of California San Francisco. 

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Korean Medical Consultation With Open-Weight Large Language Models: Pilot Comparative Evaluation of Retrieval-Augmented Generation With Metadata Filtering

Background: This study develops an open-source large language model–based chatbot tailored for Korean health consultations. The chatbot was implemented using the retrieval-augmented generation (RAG) technique alongside metadata filtering to enhance its performance. Objective: This study aims to analyze and compare the performance of a RAG-based chatbot with other leading language models in the context of Korean health consultations. Methods: A 10.4 GB Korean medical document corpus (487,277 segments) was constructed from official websites of major Korean hospitals, public health sources, and medical textbooks. This study quantitatively compared 5 open-source large language models (Qwen3:4B, Mistral:7B, Llama-3.1:8B, Gpt-Oss:20B, and Gemma3:27B) in 3 configurations: baseline (model only), RAG-only, and RAG with metadata filtering. The RAG system used a specialized Korean embedding model (upskyy/bge-m3-korean) and an Elasticsearch store. Performance was assessed by an emergency medicine specialist using a validation set of 226 questions across 7 common diseases and scoring responses based on accuracy, safety, and helpfulness. Results: The application of RAG alone failed to yield statistically significant performance improvements and, in some cases (Llama 3.1: 8B and Gemma 3: 27B), resulted in decreased scores. However, the combination of RAG with metadata filtering yielded statistically significant (<.05) performance increases in most models. Notably, the average score for Mistral:7B increased from 3.79, SD 0.08, to 4.10, SD 0.10, and Gpt-Oss:20B increased from 4.43, SD 0.05, to 4.51, SD 0.04, with the latter achieving the highest safety score (4.61, SD 0.03). The Gemma3:27B model, which possessed a high baseline performance (4.42, SD 0.03), was an exception, exhibiting no significant improvement (=.14) even with filtering. Conclusions: The effectiveness of RAG for specialized domains such as Korean medical consultation is highly dependent on a metadata filtering process that controls the quality of retrieved information; simple information augmentation is insufficient. Furthermore, the benefit of RAG is limited when a model’s intrinsic knowledge (eg, Gemma3:27B) already meets or exceeds the quality of the external knowledge base. This finding indicates that performance enhancement strategies must account for both the retrieval mechanism’s quality and the model’s preexisting capabilities.

Exploring Benefits of and Barriers to Patient Involvement Through Digital Tools in Psycho-Oncology: Qualitative Study Within the Reduct Trial

Background: Patient and public involvement is essential for developing patient-centered and acceptable eHealth interventions, yet little is known about how digital collaboration with patient representatives can best be implemented in psycho-oncological research. Objective: This study aimed to identify the benefits and barriers of digital collaboration in the development of an e-mental health application and provide recommendations to optimize digital collaboration with patient representatives in psycho-oncology research. Methods: Conducted from July to September 2023, this study involved digital semistructured interviews with 5 patient representatives from the Reduct trial, a multicenter randomized controlled trial to evaluate the efficacy of the web-based psycho-oncological training Make It. The interviews were analyzed using qualitative content analysis. Results: The findings highlighted multiple advantages of digital collaboration. These included significant reductions in travel costs and effort, personal acceptance and preference for digital methods, enhanced flexibility and accessibility, a reduced health burden, increased efficiency, and scalability. Conversely, several challenges were identified: social impacts or impediments due to less face-to-face interaction, technical difficulties, compromised effectiveness and quality of communication, diverse personal preferences and acceptance levels, organizational issues, cognitive demands, socioeconomic barriers, and safety concerns. The following recommendations to optimize digital collaboration were identified: maintaining regular communication and information exchange, valuing and committing to the collaboration, using diverse communication channels, ensuring comprehensible communication, integrating feedback, fostering openness and understanding, diligent documentation and recordkeeping, and providing targeted training and support for patient representatives. Conclusions: These findings confirm and specify previously known opportunities and challenges of digital collaboration, adding crucial insights for its implementation in psycho-oncological research. This research contributes to enhancing patient-centered approaches in psycho-oncology. Trial Registration: German Clinical Trials Register DRKS00025213; https://drks.de/search/en/trial/DRKS00025213
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Gamification of Cognitive Behavioral Therapy Homework: Therapist Concept Mapping Approach

Background: Greater homework adherence in cognitive behavioral therapy (CBT) is associated with positive treatment outcomes. However, the problems emerging from CBT homework use are common and affect adherence. In recent years, gamification has been explored to increase intervention adherence, but not yet in relation specifically to homework assignments. Objective: In this study, the aim was to gain a better understanding of obstacles to CBT homework and the use of gamification to overcome these. Methods: Concept mapping, a method to organize related information visually, was used in this study. For the 1-day face-to-face concept mapping session, 7 therapists (32 to 55 y, 6 females) participated and generated items based on 2 focal questions of interest. The generated items were grouped on perceived similarity, and each individual item was rated on (1) severity and difficulty (focal question 1) and (2) importance, acceptance by therapist, and acceptance by patient (focal question 2). The item groups on perceived similarity were inserted into computer software. Based on multidimensional scaling and hierarchical cluster analyses, item clusters were generated by the computer software and were presented to the therapists. The therapists were asked for their preference for the number of items a cluster should contain. Results: Through brainstorming, the therapists collectively generated a list of 29 possible reasons for not doing homework by patients. In the same manner, a list of 38 game design elements that could help patients make CBT homework was generated. External factors (eg, no time due to crisis situations) and lack of motivation (eg, not aspiring to a therapy goal) were perceived as the most important reasons for patients not to do homework. External and symptoms-unrelated internal factors were considered by therapists as the most difficult for patients to change for improved homework adherence. The game design elements, facilitation, and rewards were rated as most important to help patients do homework. These elements were also seen as most accepted by therapists. Conclusions: Facilitation of doing homework and rewards seem to have the potential to tackle some of the external factors and lack of motivation to make CBT homework that patients could have. Conclusions were limited by the small number of participating therapists. Future research is needed on the effects of specific game design elements, the number of these elements, their combinations, and patients’ preferences.
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STAT+: In her own words: Surgeon general nominee Nicole Saphier expresses enthusiasm and caution for MAHA

Now that Casey Means is no longer the Trump administration’s choice for surgeon general, attention is turning to the new nominee for the position. 

Nicole Saphier, whose candidacy was announced Thursday, is a licensed physician — unlike Means, whose license lapsed. A radiologist at the Memorial Sloan Kettering Cancer Center, Saphier (pronounced SAA-fire) is director of breast imaging at MSK Monmouth in New Jersey. She may be more widely known as a regular contributor to Fox Business, where she has said that the overwhelming majority of “good research” disputes the notion that vaccines are linked to autism, but has expressed an openness to alternative childhood vaccine schedules. 

Saphier has weighed in on many other concerns shared by the Make America Healthy Again movement promoted by health secretary Robert F. Kennedy Jr., agreeing with Kennedy on some positions but also clearly questioning others. In her own words, here are her views on vaccines, peptides, Tylenol in pregnancy, dietary guidelines, breast cancer, and also, Casey Means.

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Advanced Neural Probes Reveal Predictable Patterns in Epileptic Brain Activity

In addition to suffering seizures, many people with epilepsy also experience bursts of abnormal brain activity called interictal epileptiform discharges (IEDs). These can happen thousands of times a day and interfere with attention, memory, language, and sleep. New data from a study led by scientists at University of California, San Francisco (UCSF) shows that these brain blips are not random events as once thought. The data shows that they unfold in a predictable pattern that can be detected before they occur, suggesting it may be possible to prevent them. 

Details of their work are published in Nature Neuroscience in a paper titled “Laminar organization of cellular microcircuits modulating human interictal epileptiform discharges.” In it, the scientists explain that they used a high-resolution technology recently adapted for humans that records individual neuron activity to track more than 1000 neurons in four patients undergoing surgery for epilepsy. The so-called Neuropixel probes provide “a view into new ways we might address a debilitating aspect of epilepsy that we haven’t been able to tackle,” said Jon Kleen, MD, PhD, an associate professor of neurology at UCSF and co-senior author of the study. 

Preventing brain blips would be a boon for patients’ quality of life because over time, the effects of these mental disruptions can be significant and may account for some of the cognitive impairment experienced by about half of people with epilepsy. 

Neuropixels probes, which are thin devices lined with hundreds of sensors, are designed to record activity throughout the human cortex. This means that unlike current sensors which are limited to brain signals on the surface of the brain, Neuropixels can provide a three-dimensional view of brain activity. For the study, the scientists implanted the probes seven millimeters deep into the part of the brain where patients’ seizures originate—this is the tissue that surgeons typically remove to reduce epilepsy symptoms. 

Inserting the probes here made it possible to observe what happened in the neurons before, during, and after each IED. While seizures appear as a burst of neurons firing in synchrony, when IEDs occur, they unfold sequentially. Specifically, one set of neurons was active about a second before the IED started followed by another set that generated the sharp electrical spike at its peak, and then a third set became active as the IED faded. “We could see individual neurons that were just microns apart from each other playing different roles in the process,” said Alex Silva, the study’s first author and a medical student and doctoral candidate in the UCSF-UC Berkeley Joint PhD program in bioengineering. “It was really striking.”

Previous studies have demonstrated that most neurons involved in IEDs are used in normal cognitive processing. According to this study, nearly 80% of the neurons involved in IEDs were also involved in language and perception. Current implantable devices for epilepsy may be able to help. They include closed loop neurostimulators that can detect abnormal brain activity and deliver electrical pulses that interrupt it. So in the case of IEDs, devices that monitor single neurons could use the activity of the first set of neurons announcing the arrival of the abnormal pattern as a warning signal. “That would be a major step forward, changing treatment from reactively responding to abnormal brain bursts to proactively preventing them in the first place,” Kleen said.

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