Hui Jin, Yapei Wang, Hongbin Li, Yinqin Cheng, Yumin Ma
{"title":"口腔微生物群与妊娠期糖尿病的因果关系:一项双样本孟德尔随机研究。","authors":"Hui Jin, Yapei Wang, Hongbin Li, Yinqin Cheng, Yumin Ma","doi":"10.2147/IJWH.S531088","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Gestational diabetes mellitus (GDM) is associated with adverse pregnancy outcomes. The oral microbiota, influenced by genetic factors, may play a role in GDM development, but the causal association remains unclear.</p><p><strong>Methods: </strong>We employed a two-sample Mendelian randomization (MR) approach using Genome-Wide Association Study (GWAS) data on GDM from FINN cohort data (ID: finngen_R10_GEST_DIABETES) and GWAS data on the Oral microbiota from the Danish ADDITION-PRO cohort. We screened SNPs significantly associated with Oral microbiota abundance as instrumental variables (IVs) and assessed their association with GDM risk. The study primarily used an inverse variance weighting (IVW) approach and further applied MR-Egger regression, weighted median, and weighted mode methods for robustness testing. Sensitivity analyses were conducted to evaluate the impact of heterogeneity and pleiotropy, including MR-Egger, MR-PRESSO, Cochran's Q, and leave-one-out methods.</p><p><strong>Results: </strong>We identified 267 IVs associated with Oral microbiota abundance. IVW analysis revealed a positive causal association between Genus <i>Schaalia</i> and GDM risk (OR = 1.03, 95% CI: 1.01-1.06, P = 0.02) and a negative association between Genus <i>Haemophilus</i> and GDM risk (OR = 0.96, 95% CI: 0.93-1.00, P = 0.034). Sensitivity analyses confirmed the robustness of these two results, showing no evidence of heterogeneity or pleiotropy.</p><p><strong>Conclusion: </strong>Our study provides evidence for a causal association between Genus <i>Schaalia</i> and <i>Haemophilus</i> and GDM risk. This highlights the potential role of the Oral microbiota in GDM pathogenesis and suggests potential targets for GDM prevention and treatment.</p>","PeriodicalId":14356,"journal":{"name":"International Journal of Women's Health","volume":"17 ","pages":"2777-2791"},"PeriodicalIF":2.6000,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12407001/pdf/","citationCount":"0","resultStr":"{\"title\":\"Causal Associations Between Oral Microbiota and Gestational Diabetes Mellitus: A Two-Sample Mendelian Randomization Study.\",\"authors\":\"Hui Jin, Yapei Wang, Hongbin Li, Yinqin Cheng, Yumin Ma\",\"doi\":\"10.2147/IJWH.S531088\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Gestational diabetes mellitus (GDM) is associated with adverse pregnancy outcomes. The oral microbiota, influenced by genetic factors, may play a role in GDM development, but the causal association remains unclear.</p><p><strong>Methods: </strong>We employed a two-sample Mendelian randomization (MR) approach using Genome-Wide Association Study (GWAS) data on GDM from FINN cohort data (ID: finngen_R10_GEST_DIABETES) and GWAS data on the Oral microbiota from the Danish ADDITION-PRO cohort. We screened SNPs significantly associated with Oral microbiota abundance as instrumental variables (IVs) and assessed their association with GDM risk. The study primarily used an inverse variance weighting (IVW) approach and further applied MR-Egger regression, weighted median, and weighted mode methods for robustness testing. Sensitivity analyses were conducted to evaluate the impact of heterogeneity and pleiotropy, including MR-Egger, MR-PRESSO, Cochran's Q, and leave-one-out methods.</p><p><strong>Results: </strong>We identified 267 IVs associated with Oral microbiota abundance. IVW analysis revealed a positive causal association between Genus <i>Schaalia</i> and GDM risk (OR = 1.03, 95% CI: 1.01-1.06, P = 0.02) and a negative association between Genus <i>Haemophilus</i> and GDM risk (OR = 0.96, 95% CI: 0.93-1.00, P = 0.034). Sensitivity analyses confirmed the robustness of these two results, showing no evidence of heterogeneity or pleiotropy.</p><p><strong>Conclusion: </strong>Our study provides evidence for a causal association between Genus <i>Schaalia</i> and <i>Haemophilus</i> and GDM risk. This highlights the potential role of the Oral microbiota in GDM pathogenesis and suggests potential targets for GDM prevention and treatment.</p>\",\"PeriodicalId\":14356,\"journal\":{\"name\":\"International Journal of Women's Health\",\"volume\":\"17 \",\"pages\":\"2777-2791\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12407001/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Women's Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/IJWH.S531088\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"OBSTETRICS & GYNECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Women's Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/IJWH.S531088","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
Causal Associations Between Oral Microbiota and Gestational Diabetes Mellitus: A Two-Sample Mendelian Randomization Study.
Background: Gestational diabetes mellitus (GDM) is associated with adverse pregnancy outcomes. The oral microbiota, influenced by genetic factors, may play a role in GDM development, but the causal association remains unclear.
Methods: We employed a two-sample Mendelian randomization (MR) approach using Genome-Wide Association Study (GWAS) data on GDM from FINN cohort data (ID: finngen_R10_GEST_DIABETES) and GWAS data on the Oral microbiota from the Danish ADDITION-PRO cohort. We screened SNPs significantly associated with Oral microbiota abundance as instrumental variables (IVs) and assessed their association with GDM risk. The study primarily used an inverse variance weighting (IVW) approach and further applied MR-Egger regression, weighted median, and weighted mode methods for robustness testing. Sensitivity analyses were conducted to evaluate the impact of heterogeneity and pleiotropy, including MR-Egger, MR-PRESSO, Cochran's Q, and leave-one-out methods.
Results: We identified 267 IVs associated with Oral microbiota abundance. IVW analysis revealed a positive causal association between Genus Schaalia and GDM risk (OR = 1.03, 95% CI: 1.01-1.06, P = 0.02) and a negative association between Genus Haemophilus and GDM risk (OR = 0.96, 95% CI: 0.93-1.00, P = 0.034). Sensitivity analyses confirmed the robustness of these two results, showing no evidence of heterogeneity or pleiotropy.
Conclusion: Our study provides evidence for a causal association between Genus Schaalia and Haemophilus and GDM risk. This highlights the potential role of the Oral microbiota in GDM pathogenesis and suggests potential targets for GDM prevention and treatment.
期刊介绍:
International Journal of Women''s Health is an international, peer-reviewed, open access, online journal. Publishing original research, reports, editorials, reviews and commentaries on all aspects of women''s healthcare including gynecology, obstetrics, and breast cancer. Subject areas include: Chronic conditions including cancers of various organs specific and not specific to women Migraine, headaches, arthritis, osteoporosis Endocrine and autoimmune syndromes - asthma, multiple sclerosis, lupus, diabetes Sexual and reproductive health including fertility patterns and emerging technologies to address infertility Infectious disease with chronic sequelae including HIV/AIDS, HPV, PID, and other STDs Psychological and psychosocial conditions - depression across the life span, substance abuse, domestic violence Health maintenance among aging females - factors affecting the quality of life including physical, social and mental issues Avenues for health promotion and disease prevention across the life span Male vs female incidence comparisons for conditions that affect both genders.