Hypertensive disorders in pregnancy (HDPs), marked by high blood pressure, may influence fetal and placental growth differently by sex. To investigate this, researchers in the United States analyzed birth data and found that male babies of mothers with HDPs had higher birthweight, while female babies had relatively heavier placentas. These findings highlight sex-specific responses to HDPs and may help guide more personalized strategies for monitoring and managing pregnancy and fetal health outcomes.

Fabry disease in mainland China is now mapped through the largest single-centre cohort to date, clarifying how α-galactosidase A deficiency, genotype and sex jointly sculpt the clinical spectrum. Retrospective analysis of 311 genetically confirmed individuals (200 males, 111 females) collected between 2012 and 2022 reveals that 76% present the classical phenotype and 24% the late-onset variant, with male predominance in the former (72%) and female skewing in the latter (62%). Limb pain (67%), hypohidrosis (63%), proteinuria (51%) and angiokeratomas (46%) emerge as the cardinal complaints, followed by renal (58%), cardiovascular (55%) and neuro-psychiatric (58%) involvement. Eye and ear lesions are also common, yet their frequency diverge sharply between sexes and phenotypes.

Ankylosing spondylitis (AS) is increasingly recognized as an independent risk factor for premature myocardial infarction (MI), yet the molecular bridge linking chronic axial inflammation to acute coronary events remains poorly mapped. Mining four public microarray cohorts (GSE128470, GSE73754, GSE100927, GSE122897) that profile peripheral blood mononuclear cells from AS patients, MI patients and healthy controls, integrative bioinformatics now delivers a concise pathogenic blueprint. Weighted gene co-expression network analysis identified one AS-related and one MI-related module that significantly overlap; machine-learning (LASSO + SVM-RFE) distilled these to two hub genes—S100A12 and MCEMP1—whose transcript levels rise concordantly across both diseases. ROC curves yield AUCs of 0.92–0.96 for distinguishing AS-MI cases from either disease alone, and a nomogram incorporating age, CRP and the two hubs achieves a net reclassification improvement of 34 %.