Evidence map›Paper›PMID 38714485›Full record

ArticleESC heart failure2024

Genetic insights into the role of cathepsins in cardiovascular diseases: a Mendelian randomization study.

Ruiqi Zeng, Zhiyi Zhou, Wanzhe Liao, Beian Guo

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Article in ESC heart failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Post-viral myocarditis.Heart failure reviews · 2026
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ruiqi ZengGuangzhou Medical University, Guangzhou, 511436, China.
Zhiyi ZhouGuangzhou Medical University, Guangzhou, 511436, China.
Wanzhe LiaoGuangzhou Medical University, Guangzhou, 511436, China.
Beian GuoGuangzhou Medical University, Guangzhou, 511436, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study aimed to explore the causal relationships between cathepsins and cardiovascular diseases (CVDs) by Mendelian randomization (MR) analysis. METHODS AND

resultsSingle nucleotide polymorphisms (SNPs) associated with nine cathepsin types (cathepsins B, E, F, G, H, O, S, L2, and Z) were obtained from the INTERVAL study (3301 individuals). CVDs data were acquired from the UK Biobank (coronary atherosclerosis: 14 334 cases, 346 860 controls) and a genome-wide association study (GWAS) (myocardial infarction: 20 917 cases, 440 906 controls; myocarditis: 633 cases, 427 278 controls; chronic heart failure: 14 262 cases, 471 898 controls; angina pectoris: 30 025 cases, 440 906 controls; stable angina pectoris: 17 894 cases, 325 132 controls; unstable angina pectoris: 9481 cases, 446 987 controls; pericarditis: 1795 cases, 453 370 controls). Inverse variance weighted (IVW), MR-Egger, weighted median methods were adopted to conduct univariable MR (UVMR), reverse MR, multivariable MR (MVMR) analyses to estimate causality. The UVMR analyses demonstrated significant causal relationships between higher cathepsin E levels and increased risk of coronary atherosclerosis [IVW: P = 0.0051, odds ratio (OR) = 1.0033, 95% confidence interval (CI) = 1.0010-1.0056] and myocardial infarction (IVW: P = 0.0097, OR = 1.0553, 95% CI = 1.0131-1.0993), while elevated cathepsin L2 levels were causally related to reduced risk of myocarditis (IVW: P = 0.0120, OR = 0.6895, 95% CI = 0.5158-0.9216) and chronic heart failure (IVW: P = 0.0134, OR = 0.9316, 95% CI = 0.8807-0.9854). Reverse MR analyses revealed that myocardial infarction increased cathepsin O levels (IVW: P = 0.0400, OR = 1.0708, 95% CI = 1.0031-1.1431). MVMR analyses treating nine cathepsins together revealed that the positive causality between cathepsin E levels and coronary atherosclerosis risk (IVW: P = 0.0390, OR = 1.0030, 95% CI = 1.0000-1.0060), and the protective effect of cathepsin L2 levels on myocarditis (IVW: P = 0.0030, OR = 0.6610, 95% CI = 0.5031-0.8676) and chronic heart failure (IVW: P = 0.0090, OR = 0.9259, 95% CI = 0.8737-0.9812) remained, as higher cathepsin O levels were found to be causally related to increased risks of myocarditis (IVW: P = 0.0030, OR = 1.6145, 95% CI = 1.1829-2.2034) and chronic heart failure (IVW: P = 0.0300, OR = 1.0779, 95% CI = 1.0070-1.1537).

conclusionsThe study highlights the causalities of cathepsin E, L2, and O on CVDs, offering insights into their roles in cardiovascular biomarkers and therapeutic targets development. Further research is required to apply these genetic findings clinically.

Indexed as

Cardiovascular DiseasesCathepsinsGenome-Wide Association StudyMendelian Randomization AnalysisPolymorphism, Single NucleotideDNAGenetic Predisposition to DiseaseHumansCathepsinsDNACardiovascular diseasesCathepsinsGenetic associationsMendelian randomization

Identifiers

PMID38714485
PMCPMC11424349

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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.