Human Study on MS and PCOS Association
A Mendelian randomization analysis suggested a potential inverse causal association between multiple sclerosis (MS) and polycystic ovary syndrome (PCOS), with an odds ratio of 0.906. Transcriptomic analysis found four shared differentially expressed genes that indicate immune-related pathways, which also allowed for accurate patient-control discrimination in nomogram models (AUCs of 82.8% for MS and 81.1% for PCOS).
- Tags
- #Other
- Most relevant to
- —
Why it matters
These findings highlight a potential link between MS and PCOS, suggesting that autoimmune diseases may influence PCOS. However, the results do not establish direct causal relationships or mechanisms.
What this does not prove
This study does not prove causality but identifies potential associations. The focus was on correlations between autoimmune diseases and PCOS rather than exploring specific biological mechanisms.
Next milestone
No next milestone was established from the available source.
Study facts
- Study design
- Not reported
- Participants / samples
- Not reported
- Randomised
- Not reported
- Controlled
- Not reported
- Primary endpoint met
- Not reported
- Relevant MS type
- Not reported
- Publication date
- Not reported
- Evidence reviewed
- Abstract only
- Regulatory approval
- Not reported
- Research areas
- Not classified
Original sources
- Primary evidenceAutoimmune disease influence on polycystic ovary syndrome: Insights from Mendelian randomization and multi-omics analysis. ↗DOI: 10.17219/acem/214667
Supporting passages (4)
subjectsMATERIAL AND METHODS: A 2-sample MR analysis was conducted using genome-wide association study (GWAS) data from the FinnGen (n = 118,870) and European Bioinformatics Institute (EBI) (n = 141,355) cohorts.
peer reviewedJournal: Advances in clinical and experimental medicine : official organ Wroclaw Medical University
findingsRESULTS: Mendelian randomization analysis suggested a potential inverse causal association between MS and PCOS (IVW: odds ratio (OR) = 0.906; 95% confidence interval (95% CI): 0.820-0.999; p = 0.049), which was consistent across both datasets and robust in the sensitivity analyses.
limitationsTitle: Autoimmune disease influence on polycystic ovary syndrome: Insights from Mendelian randomization and multi-omics analysis.
AI assessment, not yet reviewed by a person · version 2 · Community votes are separate from evidence review.