Evidence map›Paper›PMID 42380913›Full record

SynthesisBMC pulmonary medicine2026

Asthma increased the risk of atrial fibrillation: insights from clinical association to genetic and molecular evidence.

Yan Zheng, Yanzhen Zhu, Jiayi Feng, Jianping Hu, Zhenhong Jiang, Jin Ouyang, Huitian Liao, Hong Deng, Wenfeng He, Yang Shen

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC pulmonary medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Yan ZhengDepartment of Medical Genetics, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Yanzhen ZhuDepartment of Anesthesia and Perioperative Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Jiayi FengDepartment of Medical Genetics, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Jianping HuJiangxi Key Laboratory of Molecular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Zhenhong JiangJiangxi Key Laboratory of Molecular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Jin OuyangJiangxi Key Laboratory of Molecular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Huitian LiaoFinancial Department, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Hong DengPharmacy Department, Jiujiang Hospital of Traditional Chinese Medicine, Jiujiang, China.
Wenfeng HeDepartment of Medical Genetics, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Yang ShenDepartment of Medical Genetics, The Second Affiliated Hospital of Nanchang University, Nanchang, China. ndefy2601@ncu.edu.cn.

Funding

Jiangxi Province Key Laboratory of Molecular Medicine No.2024SSY06231Jiangxi Province Natural Science Foundation youth project No.2023BAB216081National Natural Science Foundation of China No.82360048Project of the Jiangxi Provincial Health Commission No.202210499the Science and Technology Research Project of the Education Department of Jiangxi Province No.GJJ2200226
6 · The paper itself

Abstract

backgroundDespite the high global incidence of asthma and atrial fibrillation (AF), the causal relationship between the two conditions remains unclear. Emerging observational evidence suggests a potential association; however, conflicting results and limited mechanistic insights necessitate a comprehensive evaluation. This study aims to determine the causal relationship between asthma and the risk of AF and to explore the underlying molecular mechanisms.

methodsWe performed a meta-analysis of observational studies to assess the association between asthma and AF risk, followed by a two-sample Mendelian randomization (MR) analysis to infer causality. Bioinformatics analyses using data from the Gene Expression Omnibus (GEO) were conducted to identify differentially expressed genes (DEGs) and enriched pathways. Potential therapeutic targets were validated through drug-gene interaction screening.

resultsThe meta-analysis of eight observational studies involving 1,067,774 participants demonstrated that asthma was associated with a 21% increased risk of AF (odds ratio (OR) = 1.21, 95% confidence interval (CI): 1.07-1.36, p = 0.003). Two-sample MR analyses of European populations revealed that genetically predicted asthma was causally associated with increased AF risk (inverse-variance weighted (IVW) OR = 1.001, 95% CI: 1.000-1.002, p = 0.019), whereas no significant association was observed in East Asian cohorts. Transcriptomic analyses identified carboxypeptidase A3 (CPA3) as a shared upregulated gene in both asthma and AF, potentially involved in renin-angiotensin system dysregulation. Drug-gene interaction screening suggested osilodrostat and metyrapone as potential therapeutic candidates targeting CPA3.

conclusionsOur study provides evidence that genetic predisposition to asthma is significantly associated with an increased risk of AF in the European population. Transcriptomic data analyses suggest that CPA3 and its interactions with therapeutic drugs could serve as potential biomarkers, offering new opportunities to improve prognosis in patients with coexisting asthma and AF.

Indexed as

AsthmaAtrial FibrillationGenetic Predisposition to DiseaseHumansMendelian Randomization AnalysisRisk FactorsAsthmaAtrial fibrillationCPA3Mendelian randomization analysisMeta-analysis

Identifiers

PMID42380913
PMCPMC13617804

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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.