While biomarkers are widely used in other medical fields, psychiatry has yet to introduce reliable biological diagnostic tools. Female reproductive transitions provide a unique window of opportunity for investigating psychiatric biomarkers. Hormonal changes across menstruation, pregnancy, parturition and perimenopause can have dramatic effects on mental health in vulnerable individuals, enabling the identification of unique biomarkers associated with these fluctuations.

This review integrates current evidence concerning potential biomarkers, with focus on recent human studies in perinatal depression, anxiety and obsessive–compulsive disorder, postpartum psychosis, premenstrual dysphoric disorder and perimenopausal depression.

We identified potential articles to be included in this narrative review by using PubMed to obtain articles in English since 2010 on the six conditions listed above, with the additional keywords of ‘biomarker’, ‘epigenetics’, ‘neuroactive steroid’, ‘immune’, ‘inflammatory’ and ‘neuroimaging’.

There is substantial published evidence regarding potential biomarkers of reproductive psychiatric disorders in the areas of epigenetics, neuroactive steroids, immune function and neuroimaging. This body of research holds significant potential to advance biomarker development, uncover disease mechanisms and improve diagnostic and therapeutic strategies, but there is as yet no clinically useful biomarker in commercial development for any reproductive psychiatric disorder.

There is an urgent need for longitudinal, large-scale and multi-modal studies to examine potential biomarkers and better understand their functions across various stages of reproduction.

Blast injuries can occur by a multitude of mechanisms, including improvised explosive devices (IEDs), military munitions, and accidental detonation of chemical or petroleum stores. These injuries disproportionately affect people in low- and middle-income countries (LMICs), where there are often fewer resources to manage complex injuries and mass-casualty events.

The aim of this systematic review is to describe the literature on the acute facility-based management of blast injuries in LMICs to aid hospitals and organizations preparing to respond to conflict- and non-conflict-related blast events.

A search of Ovid MEDLINE, Scopus, Global Index Medicus, Web of Science, CINAHL, and Cochrane databases was used to identify relevant citations from January 1998 through July 2024. This systematic review was conducted in adherence with PRISMA guidelines. Data were extracted and analyzed descriptively. A meta-analysis calculated the pooled proportions of mortality, hospital admission, intensive care unit (ICU) admission, intubation and mechanical ventilation, and emergency surgery.

Reviewers screened 3,731 titles and abstracts and 173 full texts. Seventy-five articles from 22 countries were included for analysis. Only 14.7% of included articles came from low-income countries (LICs). Sixty percent of studies were conducted in tertiary care hospitals. The mean proportion of patients who were admitted was 52.1% (95% CI, 0.376 to 0.664). Among all in-patients, 20.0% (95% CI, 0.124 to 0.288) were admitted to an ICU. Overall, 38.0% (95% CI, 0.256 to 0.513) of in-patients underwent emergency surgery and 13.8% (95% CI, 0.023 to 0.315) were intubated. Pooled in-patient mortality was 9.5% (95% CI, 0.046 to 0.156) and total hospital mortality (including emergency department [ED] mortality) was 7.4% (95% CI, 0.034 to 0.124). There were no significant differences in mortality when stratified by country income level or hospital setting.

Findings from this systematic review can be used to guide preparedness and resource allocation for acute care facilities. Pooled proportions for mortality and other outcomes described in the meta-analysis offer a metric by which future researchers can assess the impact of blast events. Under-representation of LICs and non-tertiary care medical facilities and significant heterogeneity in data reporting among published studies limited the analysis.

A key step toward understanding psychiatric disorders that disproportionately impact female mental health is delineating the emergence of sex-specific patterns of brain organisation at the critical transition from childhood to adolescence. Prior work suggests that individual differences in the spatial organisation of functional brain networks across the cortex are associated with psychopathology and differ systematically by sex.

We aimed to evaluate the impact of sex on the spatial organisation of person-specific functional brain networks.

We leveraged person-specific atlases of functional brain networks, defined using non-negative matrix factorisation, in a sample of n = 6437 youths from the Adolescent Brain Cognitive Development Study. Across independent discovery and replication samples, we used generalised additive models to uncover associations between sex and the spatial layout (topography) of personalised functional networks (PFNs). We also trained support vector machines to classify participants’ sex from multivariate patterns of PFN topography.

Sex differences in PFN topography were greatest in association networks including the frontoparietal, ventral attention and default mode networks. Machine learning models trained on participants’ PFNs were able to classify participant sex with high accuracy.

Sex differences in PFN topography are robust, and replicate across large-scale samples of youth. These results suggest a potential contributor to the female-biased risk in depressive and anxiety disorders that emerge at the transition from childhood to adolescence.