Interplay between genetically predicted gut microbiota and chronic apical periodontitis: a Mendelian randomization analysis

Background: Whether alterations in the gut microbiota play a causal role in chronic apical periodontitis (CAP) remains uncertain. A two-sample Mendelian randomization (MR) analysis was used in this study to assess the potential causal effect of gut microbiota on CAP risk. Methods: Gut microbiota summary statistics were from the MiBioGen consortium's largest GWAS, and CAP data from the FinnGen project. The inverse variance-weighted method was the main analytic approach, and sensitivity analyses verified instrument robustness. Results: = 0.002). Sensitivity analyses supported the stability of these findings and confirmed that the effect estimates were directionally consistent, thereby strengthening confidence in the primary results. Conclusions: This MR analysis provides evidence of a genetic relationship between gut microbiota composition and susceptibility to CAP. The findings broaden our understanding of microbial changes in CAP-affected tissues, and suggest a genetic association between alterations in the composition of the gut microbiota and CAP risk.

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Publication Details

Journal
Journal of Oral Microbiology
Published
2026-03-31
DOI
https://doi.org/10.1080/20002297.2026.2650930
Primary Topic
Oral microbiology and periodontitis research
Type
article
Field-Weighted Citation Impact
0.00

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article

Interplay between genetically predicted gut microbiota and chronic apical periodontitis: a Mendelian randomization analysis

Xuechao Yang, Yu Xie, Lijing Zhu
Journal of Oral Microbiology
Oral microbiology and periodontitis research
article

Interplay between genetically predicted gut microbiota and chronic apical periodontitis: a Mendelian randomization analysis

Xuechao Yang, Yu Xie, Lijing Zhu
article en

Abstract

Background: Whether alterations in the gut microbiota play a causal role in chronic apical periodontitis (CAP) remains uncertain. A two-sample Mendelian randomization (MR) analysis was used in this study to assess the potential causal effect of gut microbiota on CAP risk. Methods: Gut microbiota summary statistics were from the MiBioGen consortium's largest GWAS, and CAP data from the FinnGen project. The inverse variance-weighted method was the main analytic approach, and sensitivity analyses verified instrument robustness. Results: = 0.002). Sensitivity analyses supported the stability of these findings and confirmed that the effect estimates were directionally consistent, thereby strengthening confidence in the primary results. Conclusions: This MR analysis provides evidence of a genetic relationship between gut microbiota composition and susceptibility to CAP. The findings broaden our understanding of microbial changes in CAP-affected tissues, and suggest a genetic association between alterations in the composition of the gut microbiota and CAP risk.

Journal of Oral MicrobiologyVol. 18(1)
Stomatology Hospital (CN)
Natural Science Foundation of Guangdong Province
Zero hunger
Openalex Percentile: Top 34%
Oral microbiology and periodontitis research
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