Evidence map›Paper›PMID 40909989›Full record

ArticleInternational journal of women's health2025

Causal Associations Between Oral Microbiota and Gestational Diabetes Mellitus: A Two-Sample Mendelian Randomization Study.

Hui Jin, Yapei Wang, Hongbin Li, Yinqin Cheng, Yumin Ma

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Article in International journal of women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hui Jin *Department of Internal Medicine, The Second People's Hospital of Nantong, Nantong, 226000, People's Republic of China.
Yapei Wang *Department of Internal Medicine, The Second People's Hospital of Nantong, Nantong, 226000, People's Republic of China.
Hongbin LiDepartment of Internal Medicine, The Second People's Hospital of Nantong, Nantong, 226000, People's Republic of China.
Yinqin ChengDepartment of Internal Medicine, The Second People's Hospital of Nantong, Nantong, 226000, People's Republic of China.
Yumin MaDepartment of Internal Medicine, The Second People's Hospital of Nantong, Nantong, 226000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 Conclusion: Our study provides evidence for a causal association between Genus

Indexed as

causal inferenceEuropean descentgestational diabetes mellitusMendelian randomizationoral microbiota

Identifiers

PMID40909989
PMCPMC12407001

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