British Journal of Psychiatry

Medical assistance in dying on psychiatric versus somatic grounds: survey on the experiences of relatives

van den Bosch A, Oude Voshaar RC, Chambaere K et al. · 2026 Oct 19
Study Type: Cross-sectional online survey (self-selected sample, Netherlands, 2023–2025)
Key Question: How do relatives' experiences, emotions, involvement, and views of the due care criteria differ between psychiatric and somatic medical assistance in dying (MAID)?
Key Findings:
  • Of 616 relatives (110 psychiatric, 506 somatic), >80% judged the due care criteria positively in both groups, with no group difference. Over 25% felt insufficiently involved.
  • After psychiatric MAID, the most strongly felt emotions were gratitude, resignation, relief and sadness (mean 3.5–4.2/5). Relatives reported greater powerlessness (p = 0.026) and guilt (p = 0.004) than after somatic MAID.
  • 68.3% of psychiatric-MAID relatives found the trajectory too long, versus 21% for somatic MAID (p < 0.001).
Clinical Relevance: MAID is not legal in the UK, but this informs the ongoing debate on assisted dying legislation and may guide support for families of patients with severe, treatment-refractory mental illness who seek MAID abroad.
Limitations: Recruitment was self-selected (social media, patient federation), so results are vulnerable to selection bias and cannot be generalised, and the cross-sectional design precludes causal inference.
British Journal of Psychiatry

Clinical and genetic correlates of a circadian subtype of depression in the Australian Genetics of Depression Study

Tonini E, Crouse JJ, Shin M et al. · 2026 Oct 20
Study Type: Cross-sectional observational study (Australian Genetics of Depression Study; self-reported data plus polygenic risk scoring)
Key Question: Does a circadian subtype of depression, defined by ≥3 circadian-related features, show distinct clinical course, antidepressant response and genetic risk profile?
Key Findings:
  • 23% of participants (n=2604) met circadian criteria. This group had earlier onset and more severe features (hypo)manic-like and psychotic-like experiences, suicidality, distress, somatic complaints and weight gain (all P<0.001).
  • Self-reported response was poorer to SSRIs (OR 0.88, 95% CI 0.82–0.94) and SNRIs (OR 0.89, 0.83–0.97), with more side-effects.
  • The subtype was associated with higher polygenic risk for ADHD, MDD, anxiety, bipolar disorder, BMI, IL-6, insomnia and later sleep midpoint (ORs ~1.08–1.15).
Clinical Relevance: Routine assessment of chronotype, social jetlag and seasonality may help identify a more severe, treatment-resistant depressive phenotype, though no alternative treatment is tested here.
Limitations: Cross-sectional, self-reported design (including medication response) precludes causal inference, effect sizes are small, and findings await independent replication.
British Journal of Psychiatry

Metabolic biomarker levels before and after initiation of GLP-1 receptor agonist treatment among individuals with schizophrenia: interrupted time-series analysis

Mikkelsen NB, Ørberg A, Østergaard SD et al. · 2026 Oct 23
Study Type: Nationwide register-based cohort study with interrupted time-series analysis (Denmark).
Key Question: Do the metabolic benefits of GLP-1 receptor agonists seen in schizophrenia RCTs translate to routine clinical practice?
Key Findings:
  • Among 3,042 people with schizophrenia starting a GLP-1RA, those treated for diabetes showed post-initiation reductions of 11.4% in HbA1c, 6.2% in LDL and 14.8% in triglycerides (all p < 0.001).
  • Those treated for overweight showed reductions of 3.4% (HbA1c), 4.9% (LDL) and 12.7% (triglycerides) (all p < 0.001).
  • LDL and triglycerides were used as proxies for weight loss; weight itself was not measured.
Clinical Relevance: Supports real-world use of GLP-1RAs to address cardiometabolic risk in people with schizophrenia, relevant to NHS physical health monitoring and the persistent mortality gap in this population.
Limitations: No control group and no direct weight or BMI data, so changes cannot be causally attributed to GLP-1RA treatment and the proxy outcomes limit interpretation of weight effects.
JAMA Psychiatry

Psilocybin and Inflammatory and Mitochondrial Stress Markers in Parkinson Disease: A Nonrandomized Clinical Trial

Bradley ER, Kelley P, Szigeti B et al. · 2026 Oct 21
Study Type: Nonrandomised clinical trial (per title). No abstract text was provided, so design details cannot be confirmed.
Key Question: Does psilocybin alter inflammatory and mitochondrial stress markers in people with Parkinson disease? (Inferred from the title only.)
Key Findings:
  • Unable to summarise: the abstract body was empty, so no data on sample size, dosing, outcomes, effect sizes or safety are available.
  • The title suggests biomarker endpoints (inflammatory and mitochondrial stress markers) rather than motor or psychiatric outcomes, but this cannot be verified.
Clinical Relevance: If confirmed, findings would inform early-phase work on psychedelic-assisted therapy in Parkinson disease, though it is not currently relevant to UK clinical practice, where psilocybin remains a Schedule 1 substance outside research settings.
Limitations: Nonrandomised design (per title) limits causal inference; further appraisal requires the full abstract or paper. *Please resend with the complete abstract for a full summary.*
JAMA Psychiatry

Multimodal Machine Learning-Based Prediction of Relapse in Major Depressive Disorder

Teutenberg L, Winter NR, Usemann P et al. · 2026 Oct 21
Study Type: Naturalistic longitudinal prognostic cohort study (machine learning prediction model; Marburg-Münster Affective Disorders Cohort, Germany).
Key Question: Can integrating multimodal baseline data improve prediction of 2-year relapse in major depressive disorder?
Key Findings:
  • Of 564 patients with current or lifetime MDD, 270 (48%) relapsed within 2 years.
  • Balanced accuracy ranged from 47.2% (SD 5.9) to 64.4% (SD 6.6), i.e. close to chance at the lower end and only moderate at best.
  • The best-performing model used only a few clinical risk factors. Adding neuroimaging, genetics, neurocognition, blood markers and gut microbiome did not improve prediction.
Clinical Relevance: Routine clinical risk factors remain the most informative predictors of relapse, so expensive multimodal biomarker work-ups are not justified for individual relapse prediction in NHS practice.
Limitations: Single time-point baseline measurement, with no external validation reported in the abstract and a mixed sample (current and lifetime MDD) from two German sites, limits generalisability to UK populations.
JAMA Psychiatry

Evaluating Large Language Models for Mental Health Care

Jin KW, Xu H, Yip SW et al. · 2026 Oct 21
Study Type: Cannot be determined. The title alone does not indicate whether this is original research, a review, or an editorial or commentary.
Key Question: Presumably the evaluation of large language models in mental health care, but the specific question and scope are not stated.
Key Findings: None available. No data, effect sizes or themes were provided, and I have not inferred any from the title.
Clinical Relevance: Cannot be assessed without the content.
Limitations: Not applicable. No abstract text was supplied. If you paste the full abstract, I will complete the summary. Alternatively, if you can share the full text, I can summarise from that.
Psychological Medicine

Structural network alterations and peripheral immune-inflammatory dysregulation define distinct subtypes of major depressive disorder with prognostic implications

Du W, Yuan M, Gao Z et al. · 2026 Oct 19
Study Type: Mixed-design study: two-sample Mendelian randomisation using GWAS data, plus a prospective single-cohort neuroimaging study (122 MDD, 66 healthy controls) with machine-learning subtyping and survival analysis.
Key Question: Does structural brain network variation define biologically distinct MDD subtypes with different immune-inflammatory profiles and treatment outcomes?
Key Findings:
  • Genetic liability to MDD was causally associated with lower circulating IGF-1 (pFDR = 0.013). IL-5 and leptin were negatively associated with grey matter volume in the right cingulate gyrus and bilateral putamen respectively.
  • Structural covariance analysis identified a hypoconnectivity subtype (n=49) with greater anxiety and anhedonia, and a hyperconnectivity subtype (n=73) with broadly elevated inflammatory markers.
  • The hyperconnectivity subtype showed faster antidepressant response during follow-up (p = 0.032).
Clinical Relevance: Supports the development of imaging- and immune-based stratification for treatment prediction, though this remains a research-stage finding with no current NHS application.
Limitations: Modest sample size, single cohort without external validation, and unspecified antidepressant regimens and follow-up duration limit generalisability and the strength of the prognostic claim.
Psychological Medicine

Neural correlates of self-directed violence: A large-sample resting-state fMRI study from UK Biobank

Lin JY, Chi IJ, Zhu JD et al. · 2026 Oct 19
Study Type: Cross-sectional neuroimaging analysis (resting-state fMRI) using UK Biobank data.
Key Question: Do functional connectivity patterns differ between people with a history of suicide attempt and those with non-suicidal self-directed violence, and do they track self-harm frequency and recency?
Key Findings:
  • Among 1,070 participants with self-directed violence (579 suicide attempt, 491 NSSDV), the attempt group showed reduced connectivity in bilateral amygdala and right putamen, and increased connectivity in right caudate.
  • More frequent self-harm correlated with increased orbitofrontal–occipital connectivity.
  • Self-harm within the past 12 months showed trends towards reduced orbitofrontal connectivity (rectus gyrus, temporal lobe). Effect sizes and confidence intervals were not reported in the abstract.
Clinical Relevance: Limbic and reward circuit differences may eventually support risk stratification for suicide attempt among UK patients presenting with self-harm, but the findings are not yet clinically actionable.
Limitations: Cross-sectional design with self-reported group classification precludes causal or predictive inference, and UK Biobank participants are healthier and less representative than NHS self-harm populations.

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