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.”

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Integrating evidence-based health approaches in U.S. healthcare settings: addressing the syndemics of poverty, health, and violence

Health disparities in the United States are not produced by single risk factors but by interacting social and biological conditions that cluster within structurally marginalized communities. Poverty, violence, and poor physical and mental health form a reinforcing system of disadvantage that traditional healthcare models—organized around isolated diseases—are poorly equipped to address. This perspective examines these dynamics through a syndemic framework, which conceptualizes co-occurring conditions as mutually interacting epidemics intensified by social inequality. Drawing on interdisciplinary evidence from public health, medicine, and social science, we describe how poverty-related stressors such as housing instability, food insecurity, and barriers to healthcare intersect with exposure to interpersonal and structural violence to amplify risks for depression, posttraumatic stress disorder, chronic disease, and premature mortality. These interactions produce compounded health burdens that are disproportionately experienced by marginalized populations. Despite increasing attention to social determinants of health, current healthcare responses remain fragmented. Health systems frequently identify risks through screening for social needs or trauma exposure but lack the institutional infrastructure, reimbursement mechanisms, and cross-sector partnerships required to address them effectively. We argue that advancing health equity requires moving beyond additive models of care coordination toward syndemic-informed healthcare systems that intervene simultaneously on clustered conditions and their shared upstream drivers. We outline key priorities for practice, policy, and research, including linking screening to actionable care pathways, strengthening partnerships between healthcare and social service systems, and expanding workforce training to include structural and syndemic competency.

Establishing standards of care for forensic mental health: an international Delphi consensus-building study

ObjectivesThe present study aimed to establish a consensus on a definition of forensic mental health systems and services, and to identify principles and components of forensic mental health systems.MethodsA Delphi consensus-building process was employed among 23 experts in forensic mental health, defined by lived experience of forensic mental health services, professional, clinical or management practice in forensic settings, or academic research in the field. Items were rated on a 9-point Likert scale, with consensus defined as ≥75% of panelists rating an item between 7 and 9. Across three Delphi rounds, items were revised, merged, or added based on participant feedback. Data were collected anonymously using LimeSurvey, with reminders sent to maximize participation, followed by a structured consensus meeting to resolve remaining areas of disagreement.ResultsThe final consensus statement comprises three components: (1) a definition of forensic mental health services; (2) a general statement including 12 guiding principles; and (3) 43 core components organized across 10 thematic domains addressing models of care, pathways and processes, programs and activities, physical health, service user and peer involvement, evaluation and improvement, service integration, safe environments, restrictive practices, and other system-level considerations. While all items achieved consensus at the consensus meeting, areas of sustained discussion related to the integration of cultural expertise, the inclusion of a lived experience workforce, and the distinction between descriptive and aspirational elements of forensic mental health services.ConclusionsThis international consensus statement provides a structured framework for understanding forensic mental health systems. By articulating shared principles and core components while allowing flexibility across jurisdictions, the framework offers a foundation to support service development and evaluation across diverse jurisdictions.

Can psychiatric genetics advance without incorporating a lifecourse perspective?

Psychiatric disorders unfold over the lifecourse, yet genomic studies of these conditions overwhelmingly rely on phenotypes collected at a single time point, often in adulthood. Genome-wide association studies (GWAS) of psychiatric conditions may therefore miss genetic variants with time-varied relevance to etiology, prevention and treatment, such as those that influence trajectories of symptoms and behaviors, age-at-onset, course of treatment response, and co-evolution of comorbidities. With recent advances in longitudinal biobanks and analytic tools, we posit that incorporating a lifecourse perspective in psychiatric genetics will enable critically relevant insights into each of these areas of investigation.

[Comment] Youth mental health in central Asia: research needs

Little research has been published on mental health difficulties in young people (aged 10–24 years) living in central Asia,1 a region comprising Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. As researchers and representatives from academic, non-governmental, governmental, and UN organisations working in Kyrgyzstan and Uzbekistan and beyond, we are noting an increasing number of young people reporting emotional and behavioural symptoms in central Asia in published articles2 and from our own observations.

Determinants of Digital Health Literacy Among Patients With Serious Mental Illness: Cross-Sectional Survey

Background: Individuals with serious mental illness increasingly use digital devices and the internet to access health information and services but often face challenges when navigating digital tools, which may limit the benefits they receive from online health resources and digital health care services. Objective: The objective of our study was to assess digital health literacy among individuals with serious mental illness and identify factors influencing this literacy. Methods: Participants were recruited, using convenience sampling, from 2 psychiatric clinics, 1 day-care center, and 4 halfway houses in Taipei, Taiwan, between May 2024 and February 2025. Self-reported data were collected using a survey that incorporated the eHealth Literacy Scale, the Attitudes Toward Computer/Internet Questionnaire, and the Mobile Device Proficiency Questionnaire. Generalized linear modeling was applied to identify factors associated with digital health literacy. Results: Among 255 participants included in the analysis, 83.5% (n=213) reported owning at least 1 digital device. Digital health literacy was significantly lower among individuals who reported greater perceived difficulty in using digital tools (=−1.533, 95% CI −2.350 to −0.717; <.001) and higher distrust in online information (=−0.986, 95% CI −1.916 to −0.056; =.04). By contrast, greater mobile device proficiency (=0.144, 95% CI 0.008‐0.281; =.04) and self-efficacy (=1.777, 95% CI 0.376‐3.177; =.01) were positively associated with digital health literacy. Conclusions: Despite widespread device ownership, digital health literacy was varied and generally suboptimal among patients with serious mental illness. Perceived difficulty and distrust emerged as major barriers; proficiency and self-efficacy facilitated higher literacy. These findings highlight the need for mental health professionals to integrate tailored digital skills training, confidence-building strategies, and ongoing support into digital health interventions for individuals with serious mental illnesses.

Development of a Contextualized, Research-Based Flemish Assessment Framework for Digital Care, Assistance, and Support: Delphi Study

<strong>Background:</strong> The rapid evolution of digital technologies has transformed health, mental health, and social care, offering new modalities of digital care, assistance, and support through web-based platforms, mobile apps, extended reality, wearables, and artificial intelligence systems. Despite this proliferation, there is little consensus on what constitutes “high-quality” digital care. Challenges persist regarding data security, interoperability, accessibility, sustainability, and professional competence, whereas existing standards and regulations provide fragmented guidance. <strong>Objective:</strong> This study aimed to develop a contextualized, consensus-based quality assessment framework for digital care, assistance, and support in Flanders, Belgium. For this purpose, perspectives across technology, organizational processes, and professional competencies were integrated. <strong>Methods:</strong> The study used a multiphase design comprising (1) 10 expert interviews with Flemish government officials; (2) a narrative literature review of 303 peer-reviewed and gray literature sources; (3) a 3-round Delphi study with 50 experts across 5 domains (end users, facilitators, technology developers, deontology and ethics experts, and digital inclusion and media literacy experts); and (4) 4 complementary focus groups and 3 interviews with specialists in artificial intelligence, regulation, social work, mental health, and IT. The Delphi rounds gathered iterative feedback through open-ended elicitation, structured rating, and classification of quality criteria. Quantitative data were analyzed using descriptive statistics, whereas qualitative feedback was subjected to thematic analysis. <strong>Results:</strong> A total of 50 experts participated in round 1, a total of 40 (80%) participated in round 2, and 27 (54%) participated in round 3. Round 1 generated 577 unique quality criteria, consolidated into 26 clusters organized under 3 pillars: technology, organization, and professional competencies. The relative importance across pillars was balanced (mean score 37.29, SD 12.38 for technology; 33.33, SD 10.39 for professional competencies; and 29.80, SD 10.45 for organizations). Accessibility, reliability, and safety ranked highest for the technology; vision, quality monitoring, and infrastructure ranked highest for organization; and support, digital competencies, and ethics ranked highest for professional competencies. The finalized framework included 112 criteria, of which 35 (31.3%) were designated as optional and 77 (68.8%) were designated as minimum requirements. Focus groups and interviews validated the framework’s comprehensiveness and usability, emphasizing proportional implementation, user centrality, and alignment with European Union regulations. Stakeholders highlighted the need for tools, training, and governance mechanisms to ensure adoption and sustainability. <strong>Conclusions:</strong> This study produced a codeveloped, context-sensitive quality assessment framework that balances technological robustness, organizational readiness, and professional competence in digital care, assistance, and support. The framework can serve both as a quality safeguard and a developmental road map. Accompanying self-assessment and governance tools enhance practical applicability. Implementation success will depend on governmental support, resource allocation, and structured feedback loops. Future research should pilot the framework in real-world settings, assess its impact, and establish mechanisms for continuous updates to maintain relevance in a rapidly evolving digital landscape. <strong>Trial Registration:</strong>

Preoperative anxiety and depression symptoms are associated with poorer clinical outcomes following corrective surgery for adult equinocavovarus foot

PurposeThis study aimed to investigate the preoperative psychological status of adult patients with equinocavovarus foot deformity and to examine the association between preoperative anxiety/depressive symptoms and the clinical outcomes of corrective surgery in this population.MethodsA retrospective analysis was conducted on 103 adult patients who underwent corrective surgery for equinocavovarus foot at Xi’an Honghui Hospital between March 2014 and July 2023. Baseline data were collected. Patient psychological status, ankle-hindfoot function, pain, and quality of life were assessed preoperatively and at the final follow-up using the Hospital Anxiety and Depression Scale (HADS), the American Orthopedic Foot & Ankle Society (AOFAS) ankle-hindfoot score, the Visual Analog Scale (VAS), and the 36-Item Short Form Health Survey (SF-36). Based on preoperative HADS scores, patients were categorized into an anxiety/depression group (Group A) and a non-anxiety/depression group (Group B). The two groups were compared with respect to baseline characteristics (gender, age, disease duration, BMI, follow-up duration), clinical outcomes, and the degree of improvement in all assessment metrics.ResultsA total of 83 patients completed the follow-up, among whom 38 (45.78%) exhibited preoperative anxiety/depression symptoms. No significant differences were found in baseline characteristics between the two groups (all P > 0.05). At the final follow-up, both groups showed significant improvement in VAS, AOFAS, SF-36 (PCS/MCS), and HADS (A/D) scores compared to their preoperative baselines (all P < 0.001). Intergroup comparisons revealed that Group A had significantly lower AOFAS and SF-36 (PCS/MCS) scores, and significantly higher VAS and HADS (A/D) scores than Group B, both preoperatively and at the final follow-up (all P < 0.001). Regarding the degree of improvement, Group A demonstrated a smaller magnitude of improvement in VAS (P < 0.01), AOFAS (P < 0.01), and SF-36 PCS (P < 0.001) compared to Group B. Conversely, Group A showed a greater improvement in SF-36 MCS and HADS (A/D) scores (all P < 0.001).ConclusionsWhile surgery improved all outcomes, patients with preoperative anxiety/depression exhibited persistently worse clinical scores. Their improvement profile was distinct: smaller gains in pain and physical function but greater mental health improvement. Addressing preoperative psychological status may optimize comprehensive outcomes.

Call for expert – Research & report on deinstitutionalisation and psychosocial disabilities in Europe

Seeking an expert to support the development of a study on deinstitutionalisation (DI) and psychosocial disabilities in Europe, exploring how mental health systems and disability-inclusive policies can be better aligned at the EU level.

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