Evidence map›Paper›PMID 40171195›Full record

ArticleFrontiers in endocrinology2025

A Mendelian randomization study reveals a causal association between NASH and the risk of atrial fibrillation.

Biwei Cheng, Xuekang Su, Jue He, Yanghui Gu, Mingtai Chen, Yi Wei, Yumeng Yi, Peiying Chen, Xiaojuan Lin, Tao Li and 3 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Biwei Cheng *Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China.
Xuekang Su *Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China.
Jue HeThe Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China.
Yanghui GuShenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China.
Mingtai ChenShenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China.
Yi WeiShenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China.
Yumeng YiShenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China.
Peiying ChenShenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China.
Xiaojuan LinShenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China.
Tao LiShenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China.
Chong XuShenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China.
Qiang LiuShenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China.
Biao LiShenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Epidemiological evidence suggests that non-alcoholic fatty liver disease (NAFLD) may increase the risk of atrial fibrillation (AF). However, the findings are inconsistent, and the causality remains to be established. Methods: We conducted two-step, two-sample Mendelian randomization (MR) analysis to assess the association between genetically predicted NAFLD (i.e. chronically elevated serum alanine aminotransferase levels [cALT], imaging-based and biopsy-confirmed NAFLD) and AF. Subsequently, we further performed Mendelian randomization to investigate the causal relationship between non-alcoholic steatohepatitis (NASH), a subtype of NAFLD, and AF. The inverse variance weighted (IVW) method was used as the primary approach to reveal the potential causation between the exposure and outcome. Results: There was no significant causal association between NAFLD diagnosed based on cALT, confirmed by imaging, or verified by biopsy, and an increased risk of atrial fibrillation. Furthermore, the results of the IVW method revealed a positive causal effect of NASH on AF (OR=1.113, 95% CI=1.025-1.209, P = 0.011). In the reverse analysis, however, no evidence supported a significant genetic association between AF and NASH (OR=0.974, 95% CI=0.934-1.016, P = 0.214). Conclusion: A causal relationship existed between NASH and the risk of AF. However, no significant genetic association has been observed between NAFLD and AF risk. This suggests that managing the progression of NAFLD may hold potential value in preventing the onset of AF.

Indexed as

Atrial FibrillationMendelian Randomization AnalysisNon-alcoholic Fatty Liver DiseaseGenetic Predisposition to DiseaseHumansMalePolymorphism, Single NucleotideRisk Factorsatrial fibrillationcausal relationshipMendelian randomizationnon-alcoholic fatty liver diseasenon-alcoholic steatohepatitis

Identifiers

PMID40171195
PMCPMC11958169

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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.