Deciphering the molecular connections between polycystic ovarian syndrome and autism spectrum disorder using bioinformatic analysis.

Researchers used computer analysis to study how PCOS (a hormonal condition) and autism might be connected at the molecular level. They found shared genes and biological pathways between the two conditions, particularly involving hormones and brain development. The study suggests that elevated testosterone during pregnancy might be a common factor. However, this was purely computer-based research without laboratory testing to confirm the findings.

This bioinformatics study analyzed gene expression data from multiple datasets to explore molecular connections between polycystic ovarian syndrome (PCOS) and autism spectrum disorder (ASD). Researchers identified 63 shared genes and pathways related to hormone signaling, brain function, and metabolism. Key hub genes included TP53, MAPK1, and hormone receptors. The analysis suggested elevated maternal testosterone as a potential linking factor and identified candidate therapeutic molecules including celecoxib and N-acetylcysteine.

While the study provides novel insights into potential molecular mechanisms underlying the epidemiologically observed PCOS-ASD association, findings are entirely computational without experimental validation.

Provides preliminary molecular framework for understanding PCOS-ASD associations. Identifies potential research targets but requires extensive validation before clinical application. May inform future studies on prenatal hormone exposure and neurodevelopmental outcomes, particularly regarding maternal PCOS management during pregnancy.

Study was entirely computational without experimental validation. Sample sizes were modest. Analysis relied on publicly available datasets with potential variability in collection methods. Findings require laboratory confirmation and clinical validation before therapeutic applications.

Epidemiological studies show a positive association between polycystic ovarian syndrome (PCOS) and autism spectrum disorder (ASD), potentially due to elevated prenatal testosterone levels, supporting the prenatal sex steroid theory. However, the molecular mechanisms behind this association remain unclear. This study investigates the association between PCOS and ASD by identifying shared hub genes and exploring molecular mechanisms using publicly available gene expression datasets (GSE1615, GSE5850, GSE10946, GSE80432, and GSE28521). We analysed these datasets for identifying differentially expressed genes (DEGs) and pathways using bioinformatic tools such as GEO2R, STRING, Enrichr, and Cytoscape.

Sixty-three overlapping DEGs were identified, along with shared pathways related to hormone receptor signalling, synaptic function, and metabolic regulation. Network analysis highlighted hub genes (TP53, MAPK1, MAPK14, AR, ESR1, CCND1, EP300), regulatory microRNAs and transcription factors with potential roles in both disorders. Drug signature enrichment via DSigDB identified candidate small molecules through hypothesis generating prediction, including celecoxib, N-acetylcysteine and other drug molecules. Elevated maternal androgens are proposed as a shared environmental factor that may interact with molecularly regulated pathways, contributing to the observed molecular convergence.

While the study integrates multiple well-curated datasets, sample sizes were modest, and analysis were performed exclusively in silico without experimental validation. These findings provide insight into the potential mechanistic overlap between PCOS and ASD, highlighting the molecular targets for future functional and translational studies, while underscoring the need for careful interpretation in maternal-fetal health contexts.