{"title":"Dietary factors and risk for endometriosis: a Mendelian randomization analysis.","authors":"Xia Zhang, Qiaomei Zheng, Lihong Chen","doi":"10.1186/s12986-025-00970-9","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>Observational studies have reported an association between dietary factors and endometriosis, but the causality remains unknown. The study aimed to investigate the potential causal association between dietary factors and endometriosis using Mendelian randomization (MR).</p><p><strong>Methods: </strong>We performed a two-sample MR analysis to investigate the effects of 18 diet-related exposure factors (alcoholic drinks per week, alcohol intake frequency, processed meat intake, poultry intake, beef intake, non-oily fish intake, oily fish intake, pork intake, lamb/mutton intake, bread intake, cheese intake, cooked vegetable intake, tea intake, fresh fruit intake, cereal intake, salad/raw vegetable intake, coffee intake, dried fruit intake) on the risk of endometriosis using summary statistics from the genome-wide association study (GWAS). The inverse variance weighted (IVW) method was used to deduce the causal association between dietary factors and endometriosis, and sensitivity analyses were further performed.</p><p><strong>Results: </strong>Processed meat intake (OR = 0.550; 95%CI:0.314-0.965; p = 0.037) and salad / raw vegetable intake (OR = 0.346; 95%CI:0.127-0.943; p = 0.038) were discovered as protective factors for endometriosis. Heterogeneity test revealed no significant heterogeneity (processed meat intake: p<sub>IVW</sub>=0.607, p<sub>MR-Egger</sub>=0.548; salad / raw vegetable intake: p<sub>IVW</sub>=0.678, p<sub>MR-Egger</sub>=0.620). MR-Egger regression test didn't support any evidence for horizontal pleiotropy (processed meat intake: p for intercept = 0.865; salad / raw vegetable intake: p for intercept = 0.725). No causal relationship was found between other dietary intakes and endometriosis.</p><p><strong>Conclusion: </strong>These findings suggest that processed meat intake and salad/raw vegetable intake are associated with a decreased risk of endometriosis, but further investigation is required.</p>","PeriodicalId":19196,"journal":{"name":"Nutrition & Metabolism","volume":"22 1","pages":"72"},"PeriodicalIF":3.9000,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12236032/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition & Metabolism","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12986-025-00970-9","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 0
Abstract
Aims: Observational studies have reported an association between dietary factors and endometriosis, but the causality remains unknown. The study aimed to investigate the potential causal association between dietary factors and endometriosis using Mendelian randomization (MR).
Methods: We performed a two-sample MR analysis to investigate the effects of 18 diet-related exposure factors (alcoholic drinks per week, alcohol intake frequency, processed meat intake, poultry intake, beef intake, non-oily fish intake, oily fish intake, pork intake, lamb/mutton intake, bread intake, cheese intake, cooked vegetable intake, tea intake, fresh fruit intake, cereal intake, salad/raw vegetable intake, coffee intake, dried fruit intake) on the risk of endometriosis using summary statistics from the genome-wide association study (GWAS). The inverse variance weighted (IVW) method was used to deduce the causal association between dietary factors and endometriosis, and sensitivity analyses were further performed.
Results: Processed meat intake (OR = 0.550; 95%CI:0.314-0.965; p = 0.037) and salad / raw vegetable intake (OR = 0.346; 95%CI:0.127-0.943; p = 0.038) were discovered as protective factors for endometriosis. Heterogeneity test revealed no significant heterogeneity (processed meat intake: pIVW=0.607, pMR-Egger=0.548; salad / raw vegetable intake: pIVW=0.678, pMR-Egger=0.620). MR-Egger regression test didn't support any evidence for horizontal pleiotropy (processed meat intake: p for intercept = 0.865; salad / raw vegetable intake: p for intercept = 0.725). No causal relationship was found between other dietary intakes and endometriosis.
Conclusion: These findings suggest that processed meat intake and salad/raw vegetable intake are associated with a decreased risk of endometriosis, but further investigation is required.
期刊介绍:
Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects.
The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases.
Key areas we wish to encourage submissions from include:
-how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes;
-the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components;
-how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved;
-how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.