Evidence map›Paper›PMID 40722147›Full record

ArticleBMC oral health2025

Oral and gut microbiota in gingivitis subtypes: a causal inference study using Mendelian randomization.

Jichao Lin, Qingjiang Xu, Wei Bi, Youcheng Yu, Qinglian Wang

Abstract read
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Article in BMC oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jichao LinDepartment of Stomatology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, 361000, China.
Qingjiang XuDepartment of Stomatology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, 361000, China.
Wei BiDepartment of Stomatology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Youcheng YuDepartment of Stomatology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Qinglian WangDepartment of Stomatology, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, 361000, China. wang.qinglian@zsxmhospital.com.

Funding

Science and Technology Plan of Xiamen City, Fujian, China No. 3502Z202373085
6 · The paper itself

Abstract

backgroundThe disruption of microbiota balance could be a pivotal factor in the complications arising from periodontal disease-induced inflammation outside the mouth. Nonetheless, it remains uncertain whether there is a direct causal relationship between the oral and gut microbiomes and gingivitis, especially in distinguishing between acute and chronic gingivitis.

methodsWe performed a two-sample Mendelian randomization (MR) analysis using GWAS summary statistics from FinnGen data (149 acute gingivitis cases, 850 chronic gingivitis cases, and 195,395 controls) to explore the causal role of oral and gut microbiota. The primary analysis employed the inverse-variance weighted (IVW) method, augmented by four supplementary approaches: weighted median, weighted mode, and MR Egger regression, all aimed at detecting and adjusting for horizontal pleiotropy.

resultsIn the gut microbiota, the results of IVW showed that class Negativicutes, Verrucomicrobiae, genus Butyricicoccus, Eubacterium, Lactobacillus, order Selenomonadales and Verrucomicrobiales were linked to a higher risk of acute gingivitis, while family Peptostreptococcaceae, genus Coprococcus2, and genus Lachnospiraceae UCG001 were linked to a lower risk of acute gingivitis (P < 0.05). Class Erysipelotrichia, Methanobacteria, Verrucomicrobiae, family Defluviitaleaceae, Erysipelotrichaceae, Methanobacteriaceae, Verrucomicrobiaceae, genus Akkermansia, Christensenellaceae R 7group, Defluviitaleaceae UCG011, Methanobrevibacter, genus Paraprevotella, Senegalimassilia, order Erysipelotrichales, Methanobacteriales, Verrucomicrobiales, and phylum Cyanobacteria were linked to a higher risk of chronic gingivitis, while family Clostridiales vadin BB60 group, genus Allisonella, Dorea, and Lachnospiraceae UCG004 were linked to a lower risk of chronic gingivitis (P < 0.05). And in the oral microbiota, unknown Porphyromonas species (ASV0008) and Genus Porphyromonas were linked to higher risk of acute gingivitis (P < 0.05). Unknown Neisseria species (ASV0004) and unknown Veillonella species (ASV0001) were linked to higher risk of chronic gingivitis, while Class Bacilli was linked to lower risk of chronic gingivitis (P < 0.05).

conclusionsThis MR analysis confirms the distinct causal relationships between microbiota and both acute and chronic gingivitis, providing insights into potential prevention strategies in European. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Gastrointestinal MicrobiomeGingivitisMicrobiotaMouthHumansMendelian Randomization AnalysisGenome-wide association studyGingivitisGut microbiotaTwo-sample Mendelian randomization

Identifiers

PMID40722147
PMCPMC12302868

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.