<![CDATA[Consensus guidance clarifies IV ketamine dosing, monitoring, staffing and consent to support safer, evidence-based depression treatment.]]>

Autistic- and attention-deficit/hyperactivity disorder-like traits: differential associations with burnout, depression and anxiety, and empathy among Japanese junior residents

IntroductionBurnout, depression, and anxiety are major concerns among physicians because they affect individual well-being, patient care, and healthcare systems. Neurodevelopmental traits, including autistic-like traits (ALTs) and attention-deficit/hyperactivity disorder (ADHD)-like traits (ADHLTs), may increase vulnerability to psychological distress. However, little is known about how these traits relate to burnout, depression and anxiety, and empathy among junior residents.MethodsIn this cross-sectional study, 148 junior residents from two teaching hospitals in Japan completed validated measures of ALTs (21-item Japanese version of the Autism-Spectrum Quotient), ADHLTs (Adult ADHD Self-Report Scale Screener), burnout (Maslach Burnout Inventory), depression and anxiety (Hospital Anxiety and Depression Scale), physician–patient empathy (Jefferson Scale of Physician Empathy), and psychological flexibility and inflexibility processes (Valuing Questionnaire, Cognitive Fusion Questionnaire-7, and Work-related Acceptance and Action Questionnaire). Associations were examined using multivariable logistic and linear regression analyses. Exploratory statistical mediation analyses using structural equation modeling examined indirect associations through psychological flexibility and inflexibility processes.ResultsThe prevalence of ALTs and ADHLTs was 23.6% for each trait. ALTs were associated with lower personal accomplishment, a burnout dimension; higher depression and anxiety; and lower physician–patient empathy. ADHLTs were associated with greater emotional exhaustion, another burnout dimension. In exploratory statistical mediation analyses, progress toward values, a core process of psychological flexibility, showed a significant indirect association between ALTs and personal accomplishment, and the direct association was attenuated and no longer statistically significant after including the process variables. Significant indirect associations through progress toward values were also observed for the associations of ALT with depression and anxiety and empathy. Cognitive fusion, a core process of psychological inflexibility, showed a significant indirect association between ADHLTs and emotional exhaustion. Overall, neurodevelopmental traits were associated with distinct patterns of psychological functioning, suggesting variability in both vulnerability and adaptive processes.DiscussionNeurodevelopmental traits such as ALTs and ADHLTs were significantly associated with burnout dimensions, depression and anxiety, and physician–patient empathy among junior residents. Psychological flexibility and inflexibility processes, particularly progress toward values and cognitive fusion, may be relevant to these associations. Process-based support strategies may warrant further investigation for residents with elevated neurodevelopmental traits.Clinical trial registrationhttps://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R00005, identifier UMIN000046897.

Loneliness, rumination, and adolescent psychological crisis in China: a pilot moderated mediation study

BackgroundAdolescent psychological crisis—encompassing depressive disorder, anxiety disorder, and suicidal ideation—is a major public health challenge. One in five adolescents experiences a clinically significant mental health condition globally. Loneliness is a well-documented, modifiable risk factor for these outcomes. However, the exact cognitive-emotional pathways linking loneliness to acute psychological crisis remain unclear. This is particularly true in China, where rapid social change and intense academic pressure increasingly strain adolescent mental health. We do not yet fully understand how protective resources might buffer these specific pathways.Objectives and methodsThis pilot study tests a moderated mediation model based on the Evolutionary Theory of Loneliness and the stress-vulnerability framework. We investigate ruminative thinking as a cognitive-emotional mediator between loneliness and psychological crisis. We also test whether perceived social support and psychological resilience moderate distinct stages of this pathway. Based on a pilot sample of N = 312 Chinese adolescents (ages 12–18), we use structural equation modelling (SEM), confirmatory factor analysis (CFA), and Hayes’ PROCESS Macro (Model 14) with 5, 000 bootstrap replications. Two-wave longitudinal data (n = 187, 8-week interval) were available for the depression outcome only; the anxiety and suicidal-ideation pathways were examined cross-sectionally.ResultsLoneliness is significantly associated with depressive symptoms (β = 0.43, p < 0.001), anxiety (β = 0.38, p < 0.001), and suicidal ideation (β = 0.27, p < 0.001). Ruminative thinking accounts for 40–46% of the total indirect association across all three outcomes. Social support buffers the transmission from loneliness to rumination (b = −0.16, p = 0.002, ΔR2 = 0.023), while resilience buffers the transmission from rumination to crisis (b = −0.19, p < 0.001, ΔR2 = 0.031).ConclusionsThese preliminary, exploratory findings are consistent with the possibility that ruminative thinking partially accounts for the cross-sectional association between loneliness and adolescent psychological crisis in China, and with social support and resilience attenuating this association at potentially distinct stages. Because the pilot is underpowered for the moderated mediation model and the available longitudinal evidence covers depression only, the moderation and stage-specificity results should be read as hypothesis-generating rather than confirmatory. A planned full-scale study (N ≥ 1, 200) will test these mechanisms further. We also outline initial practical implications for school-based interventions.

Treating addiction with an addictive drug: the ketamine paradox revisited

BackgroundSubstance use disorders (SUDs) and treatment-resistant depression (TRD) remain a major global health challenge, marked by high relapse rates and limited long-term effectiveness of existing treatments. Ketamine, a glutamatergic modulator with rapid neuroplastic effects, has emerged as a novel intervention for TRD and is increasingly investigated as an adjunctive treatment for addiction, yet concerns about its abuse liability persist.ObjectiveThis review critically evaluates ketamine’s therapeutic potential for SUDs while examining its neurobiological mechanisms, clinical efficacy, and risk of misuse within a unified risk–benefit framework.MethodsA structured narrative review conducted in accordance with the SANRA framework using the PubMed, Scopus, PsycINFO, and Web of Science databases, covering literature published until March 2026. Eligible studies included clinical trials, experimental studies, and mechanistic investigations relevant to ketamine use in addiction and depression. Evidence was synthesized thematically across the domains of efficacy, mechanisms, and safety.ResultsAcross alcohol and cocaine use disorders, ketamine combined with psychotherapy has demonstrated promising reductions in craving and increases in abstinent days in small-to moderate-sized Phase 2 trials. However, findings remain difficult to generalize due to considerable variability in dosing strategies, comparator conditions, and follow-up periods. Effects on relapse prevention have been more inconsistent and less reliably positive. Mechanistically, ketamine promotes synaptic plasticity via NMDA receptor antagonism and downstream glutamatergic signaling, potentially disrupting maladaptive reward-related memories and reversing maladaptive neurocircuitry involved in both depression and addiction. While acute adverse effects are generally transient under clinical supervision, ketamine carries a well-established risk of misuse, particularly in unsupervised or high-dose settings.ConclusionsKetamine represents a promising but still experimental intervention for both refractory depression and selected SUDs. Its clinical use depends on careful patient selection, structured delivery, and integration with psychotherapy. Although ketamine may redefine treatment paradigms for TRD and addiction, larger-scale trials and long-term safety data are essential to define its role within psychiatric and addiction treatment frameworks.

Real-world outcomes of intranasal esketamine and intravenous ketamine induction therapy for treatment-resistant depression in a community clinic: a retrospective cohort study

IntroductionIntravenous (IV) ketamine and intranasal esketamine are NMDA receptor antagonists used for treatment-resistant depression (TRD). Both have demonstrated efficacy in controlled trials, but observational evidence from real-world community settings is limited.MethodsWe conducted a single-center retrospective cohort study of adults aged 18 to 65 receiving induction therapy for TRD with intranasal esketamine or IV ketamine at a community psychiatric clinic from January 1 through December 31, 2025. Patients with prior exposure to either medication or to oral ketamine derivatives were excluded. The primary outcome was change in Patient Health Questionnaire-9 (PHQ-9) score from baseline to end of induction. Secondary outcomes included response (≥50% PHQ-9 reduction), remission (final PHQ-9 ≤4), clinically meaningful improvement (≥5 PHQ-9 reduction), induction completion, and adverse events. Within-group and per-protocol analyses were exploratory.ResultsSixty-three patients met inclusion criteria (esketamine n=37; IV ketamine n=26). Baseline PHQ-9 scores were similar (18.22±4.49 vs. 18.27±5.41; P = 0.967), as was mean change from baseline (-10.31±5.59 vs. -9.50±5.69; mean difference 0.81, 95% CI -2.12 to 3.75; P = 0.589). Response rates were 64.9% vs. 69.2% (RR 0.94, 95% CI 0.66 to 1.33; P = 0.790), remission 32.4% vs. 23.1% (RR 1.41, 95% CI 0.61 to 3.26; P = 0.573), and clinically meaningful improvement 83.8% vs 73.1% (RR 1.15, 95% CI 0.87 to 1.51; P = 0.353). Induction completion exceeded 90% in both groups; one patient per cohort discontinued from intolerable side effects, and no serious adverse events occurred. Within-group PHQ-9 reduction was large: 10.31±5.59 points (paired t[34]=10.91; P<0.001; Cohen’s d=1.84) for esketamine and 9.50±5.69 points (paired t[23]=8.18; P<0.001; Cohen’s d=1.67) for ketamine. Findings remained statistically significant and clinically large under a pre-specified baseline observation carried forward (BOCF) sensitivity analysis (Cohen’s d=1.65 and 1.45).ConclusionsInduction therapy with intranasal esketamine and intravenous ketamine was associated with robust antidepressant effects in a community outpatient setting, consistent with prior trial data. The modest sample size limits power to detect between-group differences and increases the risk of type II error; the absence of statistically significant between-group differences should therefore not be interpreted as evidence of equivalence. Protocol asymmetry between arms (esketamine: 12 sessions over 8 weeks; IV ketamine: 6 sessions over 3 weeks) further limits direct comparison of endpoint values between groups. Practical considerations including insurance coverage, cost, and administration logistics may help guide treatment selection. Longitudinal follow-up is planned to characterize treatment durability.

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.”

The post Virtual Patients Will Train Future Mental Health Clinicians appeared first on Inside Precision Medicine.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

<![CDATA[PP-01 targets CB-1 recovery and dopamine balance, aiming to ease cannabis withdrawal and boost abstinence as a fast-tracked phase 3 trial advances.]]>

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. 

The post Astrocytes Preserve Memory Persistence Through Ankyrin-2 Protein in Mice appeared first on GEN – Genetic Engineering and Biotechnology News.

<![CDATA[Psychiatrists unpack parental leave anxiety, FMLA gaps, and how smarter time-off planning can reduce postpartum depression and support working families.]]>