Introduction: Bipolar disorder (BD) and schizophrenia (SZ) are serious mental illnesses (SMI) with overlapping symptoms but distinct differences in onset and course. Sex differences are an area of growing interest in SMI. This study aims to examine potential interactions between sex and diagnosis across a broad range of variables, to compare males and females within SZ and BD, and to investigate sex-specific group differences.
View Article and Find Full Text PDFIntroduction: Bipolar disorder (BD) is a severe mental disorder characterized by extreme mood swings, often accompanied by metabolic comorbidities, such as cardiovascular disease, which increase mortality and reduce quality of life. Both metabolic dysfunctions and BD are associated with cognitive dysfunction. Body mass index (BMI) is closely linked to metabolic health and cognitive performance.
View Article and Find Full Text PDFBiol Psychiatry Glob Open Sci
September 2025
Background: Polygenic scores (PGSs) hold the potential to identify patients who respond favorably to specific psychiatric treatments. However, their biological interpretation remains unclear. In this study, we developed pathway-specific PGSs (PS) for lithium response and assessed their association with clinical lithium response in patients with bipolar disorder.
View Article and Find Full Text PDFCutaneous adverse reactions (CARs) are common complications of epidermal growth factor receptor (EGFR) inhibitor therapy, with papulopustular eruptions and paronychia being the most frequent. Growing scientific evidence implies that is involved in the pathogenesis of these reactions. This observational prospective study characterized 42 strains isolated from CARs, analyzing antibiotic resistance, biofilm formation, soluble virulence factors, and virulence/resistance genes using multiplex polymerase chain reaction (PCR).
View Article and Find Full Text PDFImportance: Numerous studies indicate that the traditional categorical classification of severe mental disorders (SMD), such as schizophrenia, bipolar disorders, and major depressive disorders, does not align with the underlying biology of those disorders as they frequently overlap in terms of symptoms and risk factors.
Objective: This study aimed to identify transdiagnostic patient clusters based on disease severity and explore the underlying biological mechanisms independently of the traditional categorical classification.
Design: We utilized data from 443 participants diagnosed with SMD of the PsyCourse Study, a longitudinal study with deep phenotyping across up to four visits.