Comprehensive Proteomics Profiling Identifies Circulating Biomarkers to Distinguish Hypertrophic Cardiomyopathy from Other Cardiomyopathies with Left Ventricular Hypertrophy.

IF 7.8 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Keitaro Akita, Mathew S Maurer, Albree Tower-Rader, Michael A Fifer, Yuichi J Shimada
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引用次数: 0

Abstract

Background: Distinguishing hypertrophic cardiomyopathy (HCM) from other cardiomyopathies with left ventricular hypertrophy (LVH), such as hypertensive LVH, transthyretin amyloid cardiomyopathy (ATTR-CM), and aortic stenosis (AS), is sometimes challenging. Using plasma proteomics profiling, we aimed to identify circulating biomarkers and dysregulated signaling pathways specific to HCM. Methods: In this multicenter case-control study, plasma proteomics profiling was performed in cases with HCM and controls with hypertensive LVH, ATTR-CM, and AS. Two-thirds of patients enrolled earlier in each disease group were defined as the training set, and the remaining one-third as the test set. Protein concentrations in HCM were compared with those in hypertensive LVH (comparison 1), ATTR-CM (comparison 2), and AS (comparison 3). Candidate proteins that meet the following 2 criteria were selected: (1) Higher abundance in HCM throughout all 3 comparisons or lower abundance in HCM throughout all 3 comparisons with univariable P<0.05 and |log2(fold change)| >0.5 in both the training and test sets and (2) Independently associated with HCM with multivariable P<0.05 after adjusting for clinical parameters significantly different between HCM and controls. Using the selected candidate proteins, a logistic regression model to distinguish HCM from controls was developed in the training set and applied to the test set. Finally, pathway analysis was performed in each comparison using proteins with different abundance. Results: Overall, 4,979 proteins in 1,415 patients (HCM, n=879; hypertensive LVH, n=331; ATTR-CM, n=169; AS, n=36) were analyzed. Of those, 5 proteins were selected as candidate proteins. The logistic regression model with these 5 proteins had an area under the receiver-operating-characteristic curve of 0.86 (95% CI 0.82-0.89) in the test set. The MAPK and HIF-1 pathways were dysregulated in HCM throughout the 3 comparisons. Conclusions: This study identified circulating biomarkers that distinguish HCM from other cardiomyopathies with LVH independently from confounders and revealed signaling pathways associated with HCM.

综合蛋白质组学分析发现循环生物标记物,可将肥厚型心肌病与其他左心室肥厚型心肌病区分开来
背景:将肥厚型心肌病(HCM)与其他左心室肥厚(LVH)的心肌病(如高血压性左心室肥厚、转甲状腺素淀粉样变性心肌病(ATTR-CM)和主动脉瓣狭窄(AS))区分开来有时具有挑战性。通过血浆蛋白质组学分析,我们旨在确定 HCM 特异的循环生物标记物和失调信号通路。方法:在这项多中心病例对照研究中,我们对患有高血压左心室积水、ATTR-CM 和 AS 的 HCM 病例和对照组进行了血浆蛋白质组学分析。每个疾病组早期入组患者的三分之二被定义为训练集,其余三分之一被定义为测试集。将 HCM 中的蛋白质浓度与高血压 LVH(比较 1)、ATTR-CM(比较 2)和 AS(比较 3)中的蛋白质浓度进行比较。筛选出符合以下两个标准的候选蛋白质:(1) 在所有 3 次比较中,HCM 中的蛋白质丰度较高,或在所有 3 次比较中,HCM 中的蛋白质丰度较低,且在训练集和测试集中的单变量 P2(折叠变化)|>0.5;(2) 多变量 PR 结果显示与 HCM 独立相关:总共分析了 1,415 名患者(HCM,879 人;高血压 LVH,331 人;ATTR-CM,169 人;AS,36 人)的 4,979 个蛋白质。其中,5 个蛋白质被选为候选蛋白质。在测试集中,包含这 5 个蛋白的逻辑回归模型的接收者操作特征曲线下面积为 0.86(95% CI 0.82-0.89)。在 3 次比较中,MAPK 和 HIF-1 通路在 HCM 中均出现失调。结论:这项研究发现了能区分 HCM 和其他伴有 LVH 的心肌病的循环生物标志物,这些标志物不受混杂因素的影响,并揭示了与 HCM 相关的信号通路。
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来源期刊
Circulation: Heart Failure
Circulation: Heart Failure 医学-心血管系统
CiteScore
12.90
自引率
3.10%
发文量
271
审稿时长
6-12 weeks
期刊介绍: Circulation: Heart Failure focuses on content related to heart failure, mechanical circulatory support, and heart transplant science and medicine. It considers studies conducted in humans or analyses of human data, as well as preclinical studies with direct clinical correlation or relevance. While primarily a clinical journal, it may publish novel basic and preclinical studies that significantly advance the field of heart failure.
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