Kang Liu, Xiaochun Liu, Tao Cao, Xianmei Cui, Pengyu Sun, Liang Zhang, Xiaoqin Wu
{"title":"Causal Relationship Between Endometriosis and Pelvic Inflammatory Diseases: Mendelian Randomization Study","authors":"Kang Liu, Xiaochun Liu, Tao Cao, Xianmei Cui, Pengyu Sun, Liang Zhang, Xiaoqin Wu","doi":"10.2147/ijwh.s440110","DOIUrl":null,"url":null,"abstract":"Objective: This study explores the causal relationship between endometriosis and pelvic inflammatory diseases (PID). Methods: The study utilized genome-wide association study (GWAS) datasets for endometriosis (“finn-b-N14_ENDOMETRIOSIS“) and PID (”finn-b-N14_OTHFEMPELINF”). Subsequently, two-sample Mendelian randomization (MR) analyses were conducted using inverse variance weighting (IVW), Egger regression (MR-Egger), and weighted median (WM) methods. Heterogeneity was evaluated using Cochran’s Q test, and in case of detected outliers, they were removed for re-evaluation of MR causality. Results: From the endometriosis GWAS dataset, 33 single nucleotide polymorphisms (SNPs) were selected as instrumental variables. All three methods, IVW (OR = 1.39, P < 1×10 −8 ), MR-Egger (OR = 1.41, P = 0.003), and WM (OR = 1.37, P = 1.16×10 −5 ) confirmed a causal relationship between endometriosis and PID. The association between endometriosis and pelvic inflammation remained unaffected by the exclusion of individual SNPs. Lastly, Cochran’s Q test and funnel plots showed no evidence of SNP asymmetry. Conclusion: The results of the MR analysis support a potential causal relationship between endometriosis and an increased risk of PID.","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":"43 9","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/ijwh.s440110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: This study explores the causal relationship between endometriosis and pelvic inflammatory diseases (PID). Methods: The study utilized genome-wide association study (GWAS) datasets for endometriosis (“finn-b-N14_ENDOMETRIOSIS“) and PID (”finn-b-N14_OTHFEMPELINF”). Subsequently, two-sample Mendelian randomization (MR) analyses were conducted using inverse variance weighting (IVW), Egger regression (MR-Egger), and weighted median (WM) methods. Heterogeneity was evaluated using Cochran’s Q test, and in case of detected outliers, they were removed for re-evaluation of MR causality. Results: From the endometriosis GWAS dataset, 33 single nucleotide polymorphisms (SNPs) were selected as instrumental variables. All three methods, IVW (OR = 1.39, P < 1×10 −8 ), MR-Egger (OR = 1.41, P = 0.003), and WM (OR = 1.37, P = 1.16×10 −5 ) confirmed a causal relationship between endometriosis and PID. The association between endometriosis and pelvic inflammation remained unaffected by the exclusion of individual SNPs. Lastly, Cochran’s Q test and funnel plots showed no evidence of SNP asymmetry. Conclusion: The results of the MR analysis support a potential causal relationship between endometriosis and an increased risk of PID.
期刊介绍:
ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications.
The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.