Evidence map›Paper›PMID 41169663›Full record

ArticleInternational journal of genomics2025

Cathepsin Levels and Atrial Fibrillation Risk: Insights From Bidirectional and Multivariable Mendelian Randomization Analyses.

Fang Ye, Ruya Zhou, Haiying Lin, Liping Wu, Xianjun Wu

Abstract read
In one paragraph

Article in International journal of genomics, 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

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Fang YeDepartment of Cardiology, Lishui People's Hospital, Lishui Hospital of Wenzhou Medical University, The First Affiliated Hospital of Lishui University, Lishui, Zhejiang, China.
Ruya ZhouDepartment of Cardiology, Lishui People's Hospital, Lishui Hospital of Wenzhou Medical University, The First Affiliated Hospital of Lishui University, Lishui, Zhejiang, China.
Haiying LinProcurement Center, Lishui People's Hospital, Lishui Hospital of Wenzhou Medical University, The First Affiliated Hospital of Lishui University, Lishui, Zhejiang, China.
Liping WuZijin Street Community Health Service Center, Lishui, Zhejiang, China.
Xianjun WuDepartment of Cardiology, Lishui People's Hospital, Lishui Hospital of Wenzhou Medical University, The First Affiliated Hospital of Lishui University, Lishui, Zhejiang, China.ORCID https://orcid.org/0000-0002-9637-7181

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Atrial fibrillation (AF) is the most common cardiac arrhythmia, contributing to substantial morbidity, mortality, and healthcare burden. While genome-wide association studies (GWAS) have identified numerous genetic variants linked to AF risk, the causal roles of proteolytic enzymes such as cathepsins remain poorly defined. This study employed bidirectional and multivariable Mendelian randomization (MR) approaches to investigate the causal relationship between genetically determined cathepsin levels and AF risk. Methods: Genetic instruments for nine cathepsins were derived from the INTERVAL study ( Results: Genetically elevated cathepsin O levels were significantly associated with increased AF risk (IVW: Conclusion: This study provides genetic evidence that elevated cathepsin O levels-and conditionally cathepsin B-are causally linked to increased AF risk. These findings highlight the potential role of proteolytic enzymes in AF pathogenesis and suggest novel therapeutic targets. All analyses were conducted in European-ancestry populations; replication in diverse cohorts and mechanistic studies are warranted to validate and extend these insights.

Indexed as

atrial fibrillationcardiovascular proteomicscathepsingenetic epidemiologymendelian randomization

Identifiers

PMID41169663
PMCPMC12569522

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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.