Leonardo A Guerra, Christelle Lteif, Yimei Huang, Rylie M Flohr, Alejandra C Nogueira, Brian E Gawronski, Julio D Duarte
{"title":"Genetic variation in RYR1 is associated with heart failure progression and mortality in a diverse patient population.","authors":"Leonardo A Guerra, Christelle Lteif, Yimei Huang, Rylie M Flohr, Alejandra C Nogueira, Brian E Gawronski, Julio D Duarte","doi":"10.3389/fcvm.2025.1529114","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Heart failure (HF) is a highly prevalent disease affecting roughly 7 million Americans. A transcriptome-wide analysis revealed <i>RYR1</i> upregulation in HF patients with severe pulmonary hypertension. Therefore, we aimed to further characterize the role of <i>RYR1</i> in HF progression and mortality.</p><p><strong>Methods: </strong>In a mouse model of HF, expression of <i>Ryr1</i> was compared in cardiac pulmonary, and vascular tissue between HF and control mice. Candidate single nucleotide polymorphisms (SNPs) in the <i>RYR1</i> gene region were identified, including variants affecting <i>RYR1</i> expression in relevant tissue types. A Cox proportional hazard model was used to analyze genetic associations of candidate SNPs with all-cause mortality in HF patients. An exploratory analysis assessed significantly associated SNPs with risk of HF and arrhythmia development.</p><p><strong>Results: </strong>In the preclinical HF model, left ventricular expression of <i>Ryr1</i> was increased compared to control (fold change = 2.08; <i>P</i> = 0.01). In 327 HF patients, decreased mortality risk was associated with two <i>RYR1</i> SNPs: rs12974674 (HR: 0.59; 95% CI: 0.40-0.87; <i>P</i> = 0.007) and rs2915950 (HR: 0.62, 95% CI: 0.43-0.88; <i>P</i> = 0.008). Based on eQTL data, these SNPs were associated with decreased <i>RYR1</i> expression in vascular tissue. Two missense variants, in linkage disequilibrium with rs2915950 (rs2915952 and rs2071089) were significantly associated with decreased mortality risk (<i>P</i> = 0.03) and decreased risk of atrial fibrillation/flutter (OR: 0.66, 95% CI: 0.44-0.96; <i>P</i> = 0.03 and OR: 0.67, 95% CI: 0.45-0.98; <i>P</i> = 0.04, respectively). Survival associations with these SNPs were replicated in HF patients self-identifying as Black in the UK Biobank, and the arrhythmia associations were replicated in the overall UK Biobank population.</p><p><strong>Conclusion: </strong>Increased <i>RYR1</i> expression may contribute to HF progression, potentially through the mechanisms associated with calcium handling and arrhythmia development. Our findings suggest that <i>RYR1</i> should be further studied as a potential therapeutic target for reducing HF-related mortality.</p>","PeriodicalId":12414,"journal":{"name":"Frontiers in Cardiovascular Medicine","volume":"12 ","pages":"1529114"},"PeriodicalIF":2.8000,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11885062/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Cardiovascular Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fcvm.2025.1529114","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Heart failure (HF) is a highly prevalent disease affecting roughly 7 million Americans. A transcriptome-wide analysis revealed RYR1 upregulation in HF patients with severe pulmonary hypertension. Therefore, we aimed to further characterize the role of RYR1 in HF progression and mortality.
Methods: In a mouse model of HF, expression of Ryr1 was compared in cardiac pulmonary, and vascular tissue between HF and control mice. Candidate single nucleotide polymorphisms (SNPs) in the RYR1 gene region were identified, including variants affecting RYR1 expression in relevant tissue types. A Cox proportional hazard model was used to analyze genetic associations of candidate SNPs with all-cause mortality in HF patients. An exploratory analysis assessed significantly associated SNPs with risk of HF and arrhythmia development.
Results: In the preclinical HF model, left ventricular expression of Ryr1 was increased compared to control (fold change = 2.08; P = 0.01). In 327 HF patients, decreased mortality risk was associated with two RYR1 SNPs: rs12974674 (HR: 0.59; 95% CI: 0.40-0.87; P = 0.007) and rs2915950 (HR: 0.62, 95% CI: 0.43-0.88; P = 0.008). Based on eQTL data, these SNPs were associated with decreased RYR1 expression in vascular tissue. Two missense variants, in linkage disequilibrium with rs2915950 (rs2915952 and rs2071089) were significantly associated with decreased mortality risk (P = 0.03) and decreased risk of atrial fibrillation/flutter (OR: 0.66, 95% CI: 0.44-0.96; P = 0.03 and OR: 0.67, 95% CI: 0.45-0.98; P = 0.04, respectively). Survival associations with these SNPs were replicated in HF patients self-identifying as Black in the UK Biobank, and the arrhythmia associations were replicated in the overall UK Biobank population.
Conclusion: Increased RYR1 expression may contribute to HF progression, potentially through the mechanisms associated with calcium handling and arrhythmia development. Our findings suggest that RYR1 should be further studied as a potential therapeutic target for reducing HF-related mortality.
期刊介绍:
Frontiers? Which frontiers? Where exactly are the frontiers of cardiovascular medicine? And who should be defining these frontiers?
At Frontiers in Cardiovascular Medicine we believe it is worth being curious to foresee and explore beyond the current frontiers. In other words, we would like, through the articles published by our community journal Frontiers in Cardiovascular Medicine, to anticipate the future of cardiovascular medicine, and thus better prevent cardiovascular disorders and improve therapeutic options and outcomes of our patients.