# Mediation Role of Gut Microbiota in the Causal Relationship Between m6A Regulatory Genes and Metabolic Dysfunction-Associated Steatotic Liver Disease: A Mendelian Randomization Study

**Authors:** Dongmei Qiu, Liwei Suo, Tao Wei, Zhenwei Lu, Qixin Weng, Jianxing Xiao, Xinchi Wang, Qinyu Xu, Jingtong Wu

PMC · DOI: 10.3390/biomedicines14030630 · Biomedicines · 2026-03-11

## TL;DR

This study explores how gut microbiota might mediate the link between m6A regulatory genes and liver disease, using genetic data to suggest a possible causal pathway.

## Contribution

The study is the first to use Mendelian randomization to investigate the causal interplay between m6A regulators, gut microbiota, and MASLD.

## Key findings

- Four m6A regulators (ALKBH3, ALKBH5, CBLL1, RBM15B) show significant causal associations with MASLD risk.
- Nineteen gut microbial taxa are causally linked to MASLD, with seven influenced by the identified m6A genes.
- A suggestive indirect effect was observed for ALKBH5 influencing MASLD via Parabacteroides abundance.

## Abstract

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a globally prevalent condition with a complex pathogenesis. While both m6A RNA methylation regulators and gut microbiota have been independently implicated in MASLD, their potential causal interplay remains unexplored. This study aimed to investigate the causal relationships among m6A regulatory genes, gut microbiota, and MASLD, and to assess the mediating role of gut microbiota. Methods: We performed a two-sample Mendelian randomization (MR) analysis using publicly available genome-wide association study (GWAS) data. Genetic instruments for m6A regulators were derived from blood expression quantitative trait loci (eQTL) data. Gut microbiota and MASLD data were obtained from large-scale metagenomic and disease GWAS, respectively. The inverse-variance weighted method was the primary analysis, supplemented by sensitivity and mediation analyses to evaluate potential mediating pathways. Results: Genetically predicted levels of four m6A regulators showed significant causal associations with MASLD risk: ALKBH3 increased risk (OR = 1.17), whereas ALKBH5 (OR = 0.89), CBLL1 (OR = 0.76), and RBM15B (OR = 0.83) were protective. Nineteen gut microbial taxa were causally linked to MASLD. Among these, seven taxa were influenced by the four identified m6A genes. Although no mediation effects reached strict statistical significance, the pathway from ALKBH5 to MASLD via Parabacteroides abundance showed a suggestive indirect effect accounting for 21.9% of the total effect (p = 0.068). Given the limited statistical power of mediation analyses in MR settings, this observation should be interpreted with caution and requires validation in larger, well-powered studies. Conclusions: This MR study provides genetic evidence supporting causal roles of specific m6A regulators in MASLD and suggests that gut microbiota may partially mediate these relationships. The findings highlight a potential “m6A–gut microbiota–liver” axis in MASLD pathogenesis.

## Linked entities

- **Genes:** ALKBH3 (alkB homolog 3, alpha-ketoglutarate dependent dioxygenase) [NCBI Gene 221120], ALKBH5 (alkB homolog 5, RNA demethylase) [NCBI Gene 54890], CBLL1 (Cbl proto-oncogene like 1) [NCBI Gene 79872], RBM15B (RNA binding motif protein 15B) [NCBI Gene 29890]
- **Diseases:** metabolic dysfunction-associated steatotic liver disease (MONDO:0013209), MASLD (MONDO:0013209)
- **Species:** Parabacteroides (taxon 375288)

## Full-text entities

- **Genes:** CBLL1 (Cbl proto-oncogene like 1) [NCBI Gene 79872] {aka HAKAI, RNF188}, RBM15B (RNA binding motif protein 15B) [NCBI Gene 29890] {aka HUMAGCGB, HsOTT3, OTT3}, ALKBH3 (alkB homolog 3, alpha-ketoglutarate dependent dioxygenase) [NCBI Gene 221120] {aka ABH3, DEPC-1, DEPC1, PCA1, hABH3}, ALKBH5 (alkB homolog 5, RNA demethylase) [NCBI Gene 54890] {aka ABH5, OFOXD, OFOXD1}
- **Diseases:** MASLD (MESH:D008107)
- **Chemicals:** Parabacteroides (-), m6A (MESH:C005955)

## Full text

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## Figures

11 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13023808/full.md

## References

37 references — full list in the complete paper: https://tomesphere.com/paper/PMC13023808/full.md

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Source: https://tomesphere.com/paper/PMC13023808