Association between gut microbiota and peptic ulcer disease, particularly gastric ulcer and duodenal ulcer: a two-sample Mendelian randomization study

Front Microbiol. 2024 Jan 12:14:1277300. doi: 10.3389/fmicb.2023.1277300. eCollection 2023.

Abstract

Background: Recent an observational study has suggested a potential connection between gut microbiota (GM) and peptic ulcer diseases (PUDs), particularly gastric ulcer (GU) and duodenal ulcer (DU). However, the causal connection remains unsure.

Methods: A two-sample Mendelian randomization (MR) is carried out to explore the connection between the GM and DU or GU. Data on the GM comes from the MiBioGend database, and GU or DU data are based on the FinnGen database. One group of single nucleotide polymorphisms (SNPs) (P < 5 × 10-8) are served as instrumental variables (IVs). To obtain a more comprehensive conclusion, the other SNPs (P < 1 × 10-5) are selected as IVs. Inverse variance weighting (IVW) is used to determine the causal relationship.

Results: At the level of P < 1 × 10-5, the IVW analysis suggests that Clostridiaceae1, Butyriccoccus, and Peptcoccus have harmful effects on GU, while LachnospiraceaeUCG004 and MollicutesRF9 have beneficial effects on GU. Then, in the case of DU, the IVW analysis suggested that Lentisphaeria, Negativicutes, Clostridiaceae1, ClostridiumseMnsustricto1, ErysipelotrichaceaeUCG003, LachnospiraceaeNC2004group, Selenomonadale, Victivallales, and Lentisphaerae have harmful effects, while Catenibacterium, Escherichia.Shigella, LachnospiraceaeUCG008, and Sutterella have beneficial effects. When P < 5 × 10-8, IVW analysis suggests that GM has no significant influence on GU or DU.

Conclusion: This two-sample MR indicates a causal relationship between GM and GU or DU.

Keywords: Mendelian randomization study; causal inference; duodenal ulcer; gastric ulcer; genetics; gut microbiota.

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was financially supported by research project of General Program of National Natural Science Foundation of China (52072142) and Jilin Province Tianhua Health Foundation (J2023JKJ017).