Autistic- and attention-deficit/hyperactivity disorder-like traits: differential associations with burnout, depression and anxiety, and empathy among Japanese junior residents
Loneliness, rumination, and adolescent psychological crisis in China: a pilot moderated mediation study
Treating addiction with an addictive drug: the ketamine paradox revisited
Real-world outcomes of intranasal esketamine and intravenous ketamine induction therapy for treatment-resistant depression in a community clinic: a retrospective cohort study
Virtual Patients Will Train Future Mental Health Clinicians
Researchers from the University of Pennsylvania and New York University have received a $4 million grant from the Wellcome Trust to develop an AI-driven platform to train mental health clinicians using simulations of real patients.
Within the next two years, the partners will work on the development of the STELLAR platform, which stands for Steering-Vector Enhanced LLM Agents for Realistic Digital Twins in Mental Health. The platform will create digital twins of patients that trainees can use to practice conducting clinical interviews and evaluating psychiatric symptoms.
“STELLAR brings together behavioral data, clinical expertise, and AI to ask a very practical question,” said Sharath Chandra Guntuku, PhD, associate professor of computer and information science at Penn Engineering. “Can we build training tools that better prepare clinicians for how varied and complex patients are?”
Preparing future mental health clinicians for clinical interviews can be challenging as patients will often report overlapping symptoms that shift over time and subjective experiences that can be expressed differently by each individual. STELLAR will give trainees an ethical option for trainees to simulate interviewing patients with a broad range of symptoms, backgrounds, and clinical scenarios.
“In psychiatry, the details of symptom experience matter: how someone describes distress, how symptoms overlap, how severity changes over time, and how context shapes the clinical interaction,” said Raquel E. Gur, MD, PhD, professor of psychiatry, neurology, and radiology at Penn’s Perelman School of Medicine.
Patient simulations will be created drawing from clinical data from the Philadelphia Neurodevelopmental Cohort, a repository including psychiatric assessments and clinical interviews from thousands of young people created by Penn Medicine and the Children’s Hospital of Philadelphia. Rather than copying individual patients, the simulations will create composites based on real-world data for clinicians to practice realistic conversations in the context of a clinical interview.
This will allow trainers to precisely control the symptoms students encounter, their intensity, and how they interact with each other. For instance, a trainee may practice interviewing a patient with mild anxiety and another whose anxiety overlaps with depression or psychosis to learn how to distinguish the differences in presentation between both.
Because many mental health symptoms manifest beyond formal clinical settings, the platform will also be trained using data from social media platforms, where people discuss mental health symptoms in everyday language.
“Patient simulations will only be useful for clinician training if they are grounded in real clinical speech and evaluated as clinical interactions, not just plausible AI dialogue,” said Neville Ryant, PhD, researcher at Penn’s Linguistic Data Consortium. “[Our] role is to bring speech and language science into the core of the project: adapting speech-recognition tools to clinical interviews, creating high-quality transcripts and annotations, and helping evaluate both what the simulations say and how they say it. That includes assessing the language generated by the models, the naturalness of synthetic voices, how well those voices reflect target speech patterns, and the behavior of the avatar during real trainee interactions.”
To ensure the conversations are realistic, respectful, and useful to trainees, the team will involve people with lived experience of mental health conditions as well as family members and caregivers to provide their perspective into the evaluation process. Their feedback will help researchers assess the accuracy of simulations, avoid stereotyping patients, and prepare trainees for complex and nuanced clinical conversations with real patients.
“The promise of this approach is that we can move beyond stylized and potentially biased simulations,” said João Sedoc, PhD, assistant professor of technology, operations and statistics at NYU’s Stern School of Business. “If we can create digital patients that simulate controllable plausible symptom expression and responsibly evaluate, we can augment current clinician training practices with the kinds of conversations that are essential to better mental health care.”
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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.
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Astrocytes Preserve Memory Persistence Through Ankyrin-2 Protein in Mice
Although scientists have long studied how memories are formed in the brain, how certain memories persist over time for learning and cognitive function remains unclear.
A new study published in Nature Communications titled, “Astrocytic ankyrin-2 enables memory persistence in the mouse hippocampus,” suggests that astrocytes play a critical role in long-term memory through the regulatory protein ankyrin-2 (Ank2).
Removing Ank2 function led to significantly impaired memory in mice after after two weeks. Under normal conditions, these mice showed standard locomotion, sociability, and recent memory immediately after learning.
Astrocytes lacking Ank2 formed significantly less physical contacts with nearby engram neurons, the specialized neurons for memory storage. Additionally, the maintenance of long-term potentiation (LTP) was impaired while normal synaptic transmission remained intact. The findings suggest that astrocytes stabilize the neural circuits required for preserving memories long after they are formed.
On the molecular level, researchers found that Ank2 is required for brain-derived neurotrophic factor (BDNF) signaling through the astrocytic TrkB.T1 receptor and IP3R2-mediated calcium signaling. In the absence of Ank2, calcium signaling weakened, astrocytes failed to undergo normal structural remodeling, and showed reduced ability to maintain contacts with memory-encoding neurons.
The researchers further demonstrated that hippocampal BDNF infusion normally strengthens long-term memory persistence, but this effect disappeared when astrocytic Ank2 was deleted, showing that Ank2 is essential for BDNF-dependent memory stabilization.
To determine whether astrocytic BDNF signaling alone is sufficient to enhance memory, the team developed an optogenetic tool called Opto-T1. Activation of this pathway promoted astrocyte remodeling, maintained long-term potentiation, and significantly enhanced remote memory without affecting recent memory.
“Our findings show that astrocytes are not passive support cells, but active regulators that determine how long memories last,” said Wuhyun Koh, PhD, senior research fellow at Institute for Basic Science (IBS) and corresponding author of the study. “By identifying Ank2 as a key regulator of astrocyte remodeling and BDNF signaling, we have uncovered a new mechanism that helps stabilize long-term memories and opens new avenues for understanding and potentially treating memory disorders.”
The researchers indicate the study provides a new framework for understanding how astrocytes contribute to neurological diseases.
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