克隆性造血与非缺血性扩张型心肌病左心室逆重塑之间的关系

IF 8.4 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS JACC: Basic to Translational Science Pub Date : 2024-08-01 DOI:10.1016/j.jacbts.2024.04.010
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引用次数: 0

摘要

虽然不确定潜能克隆性造血(CHIP)是动脉粥样硬化疾病的不良预后因素,但它对非缺血性扩张型心肌病(DCM)的影响却难以捉摸。作者对198名DCM患者进行了全外显子组测序和深度靶向测序,检测到了心肌病相关基因的种系突变和CHIP驱动基因的体细胞突变。在22名DCM患者中检测到25个CHIP驱动基因突变。92名患者存在心肌病相关的致病基因突变。多变量分析显示,无论已知的预后因素如何,CHIP都是左心室逆向重塑的独立风险因素。在 DCM 小鼠模型中,CHIP 加剧了心脏收缩功能障碍和纤维化。在DCM患者中识别种系突变和体细胞突变可预测临床预后。
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Association Between Clonal Hematopoiesis and Left Ventricular Reverse Remodeling in Nonischemic Dilated Cardiomyopathy

Although clonal hematopoiesis of indeterminate potential (CHIP) is an adverse prognostic factor for atherosclerotic disease, its impact on nonischemic dilated cardiomyopathy (DCM) is elusive. The authors performed whole-exome sequencing and deep target sequencing among 198 patients with DCM and detected germline mutations in cardiomyopathy-related genes and somatic mutations in CHIP driver genes. Twenty-five CHIP driver mutations were detected in 22 patients with DCM. Ninety-two patients had cardiomyopathy-related pathogenic mutations. Multivariable analysis revealed that CHIP was an independent risk factor of left ventricular reverse remodeling, irrespective of known prognostic factors. CHIP exacerbated cardiac systolic dysfunction and fibrosis in a DCM murine model. The identification of germline and somatic mutations in patients with DCM predicts clinical prognosis.

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来源期刊
JACC: Basic to Translational Science
JACC: Basic to Translational Science CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
14.20
自引率
1.00%
发文量
161
审稿时长
16 weeks
期刊介绍: JACC: Basic to Translational Science is an open access journal that is part of the renowned Journal of the American College of Cardiology (JACC). It focuses on advancing the field of Translational Cardiovascular Medicine and aims to accelerate the translation of new scientific discoveries into therapies that improve outcomes for patients with or at risk for Cardiovascular Disease. The journal covers thematic areas such as pre-clinical research, clinical trials, personalized medicine, novel drugs, devices, and biologics, proteomics, genomics, and metabolomics, as well as early phase clinical trial methodology.
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