The Association between Rheumatic Diseases and the Risk of Polycystic Ovary Syndrome: A Two-Sample Mendelian Randomization Analysis DOI
Jing Wang, Qi Zhou

British Journal of Hospital Medicine, Journal Year: 2024, Volume and Issue: 85(11), P. 1 - 19

Published: Nov. 25, 2024

Aims/Background The association between rheumatic immune diseases and polycystic ovary syndrome (PCOS) remains elusive. purpose of this study was to investigate the causal relationship risk PCOS through a two-sample Mendelian randomization (MR) analysis. Methods In assessment exposure variables, we chose systemic lupus erythematosus (SLE), polymyositis (PM), rheumatoid arthritis (RA) as representative diseases, while designated outcome interest. All data utilized in investigation were obtained from Medical Research Council Integrative Epidemiology Unit (MRC-IEU) database. A MR analysis conducted using summary statistics for both which gathered genome-wide (GWAS) datasets. Single nucleotide polymorphisms (SNPs) significantly associated with selected instrumental variables (IVs) estimate effects on PCOS. final results analyzed five methods, namely MR-Egger, inverse variance weighted (IVW), median (WM), simple mode, mode. Causal estimation primarily IVW method. Sensitivity analyses also evaluate pleiotropy heterogeneity. Results analysis, total 1,000,246 participants included. Among them, there 647 cases SLE, 44 PM, 5539 RA, 797 approach indicated RA an increased (odds ratio [OR] = 1.069, 95% confidence interval [CI] 1.007–1.134, p 0.041). MR-Egger intercept Cochran’s Q test (p > 0.005) further verified stability results. However, no significant correlation observed other two (PM SLE) developing (both 0.05). Conclusion This suggests potential PCOS, SLE PM do not exhibit enhancing our comprehension etiological factors shedding light prevention strategies disease. Additional research is required elucidate underlying biological mechanisms by contributes progression

Language: Английский

Gut microbial metabolite indole-3-propionic acid alleviates polycystic ovary syndrome in mice by regulating the AhR-NLRP3 axis DOI
Zhuohan Li,

Huafeng Geng,

Cong Ye

et al.

International Immunopharmacology, Journal Year: 2025, Volume and Issue: 148, P. 114038 - 114038

Published: Jan. 18, 2025

Language: Английский

Citations

0
Unraveling the gut microbiota’s role in PCOS: a new frontier in metabolic health DOI Creative Commons
Caihong Li,

Dongkai Cheng,

Haiqin Ren

et al.

Frontiers in Endocrinology, Journal Year: 2025, Volume and Issue: 16

Published: March 18, 2025

Polycystic ovary syndrome (PCOS) is a common endocrine and metabolic disorder affecting reproductive-age women, characterized primarily by hyperandrogenism, ovulatory dysfunction, abnormalities. In recent years, the gut microbiota has garnered widespread attention for its potential role as key regulator of host metabolism in pathogenesis PCOS. Studies have shown that PCOS patients exhibit dysbiosis their microbiota, reduced microbial diversity, an imbalance ratio Firmicutes to Bacteroidetes, changes abundance specific taxa, abnormal levels products. These alterations may exacerbate dysfunction through multiple mechanisms, including influencing energy metabolism, disrupting lipid bile acid inducing chronic inflammation. Addressing modulation patients' microbiomes-such use of, prebiotics, fecal transplantation, optimizing diet lifestyle-may offer strategies improving abnormalities alleviating clinical symptoms Additionally, microbiome promises marker, aiding precise diagnosis personalization Although our current understanding how influences still limited, research needed explore causal relationships mechanisms involved, providing more reliable theoretical basis clinical. This review aims summarize progress on relationship between PCOS, suggest future directions promote development prevention treatment

Language: Английский

Citations

0
PCOS and genetics: Exploring the heterogeneous role of potential genes in ovarian dysfunction, a hallmark of PCOS – A review DOI

Vidhya Dharani,

Susmita Das Nishu,

Hariprasath Lakshmanan

et al.

Reproductive Biology, Journal Year: 2025, Volume and Issue: 25(2), P. 101017 - 101017

Published: April 12, 2025

Language: Английский

Citations

0
The Association between Rheumatic Diseases and the Risk of Polycystic Ovary Syndrome: A Two-Sample Mendelian Randomization Analysis DOI
Jing Wang, Qi Zhou

British Journal of Hospital Medicine, Journal Year: 2024, Volume and Issue: 85(11), P. 1 - 19

Published: Nov. 25, 2024

Aims/Background The association between rheumatic immune diseases and polycystic ovary syndrome (PCOS) remains elusive. purpose of this study was to investigate the causal relationship risk PCOS through a two-sample Mendelian randomization (MR) analysis. Methods In assessment exposure variables, we chose systemic lupus erythematosus (SLE), polymyositis (PM), rheumatoid arthritis (RA) as representative diseases, while designated outcome interest. All data utilized in investigation were obtained from Medical Research Council Integrative Epidemiology Unit (MRC-IEU) database. A MR analysis conducted using summary statistics for both which gathered genome-wide (GWAS) datasets. Single nucleotide polymorphisms (SNPs) significantly associated with selected instrumental variables (IVs) estimate effects on PCOS. final results analyzed five methods, namely MR-Egger, inverse variance weighted (IVW), median (WM), simple mode, mode. Causal estimation primarily IVW method. Sensitivity analyses also evaluate pleiotropy heterogeneity. Results analysis, total 1,000,246 participants included. Among them, there 647 cases SLE, 44 PM, 5539 RA, 797 approach indicated RA an increased (odds ratio [OR] = 1.069, 95% confidence interval [CI] 1.007–1.134, p 0.041). MR-Egger intercept Cochran’s Q test (p > 0.005) further verified stability results. However, no significant correlation observed other two (PM SLE) developing (both 0.05). Conclusion This suggests potential PCOS, SLE PM do not exhibit enhancing our comprehension etiological factors shedding light prevention strategies disease. Additional research is required elucidate underlying biological mechanisms by contributes progression

Language: Английский

Citations

0