Proteomics Profiling Reveals Circulating Biomarkers and Dysregulated Pathways in Transthyretin Amyloid Cardiomyopathy

医学 转甲状腺素 心肌病 心力衰竭 蛋白质组学 线性判别分析 生物信息学 内科学 信号转导 判别式 生物途径 扩张型心肌病 曲线下面积 病理 心脏病学 基因表达谱 疾病 心脏病 生物标志物 肿瘤科 心室重构 内分泌学
作者
Ree Lu,Ani Nalbandian,Keitaro Akita,Sergio Teruya,Dimitrios Bampatsias,Alfonsina Mirabal Santos,Mathew S. Maurer,Yuichi J. Shimada
出处
期刊:Circulation-heart Failure [Ovid Technologies (Wolters Kluwer)]
卷期号:: e013220-e013220
标识
DOI:10.1161/circheartfailure.125.013220
摘要

BACKGROUND: Transthyretin amyloid cardiomyopathy (ATTR-CM) causes a restrictive cardiomyopathy resulting in heart failure (HF). Signaling pathways associated with ATTR-CM are not well defined. The purpose of this study was to identify signaling pathways that are dysregulated in ATTR-CM compared with controls. METHODS: This was a case-control study of cases with ATTR-CM, internal controls with hypertensive left ventricular hypertrophy, and external controls with HF. For model development, ATTR-CM cases were age- and sex-matched with internal controls with hypertensive left ventricular hypertrophy. Plasma proteomics profiling of 7289 proteins was conducted. A sparse partial least squares discriminant analysis was performed to develop a proteomics-based discrimination model from 70% of the data (ie, the training set), and the discriminative ability was tested in the remaining 30% of the data (ie, the internal test set). External validation using HF controls was also conducted. Pathway analysis of significantly (ie, univariable P <10 −6 ) dysregulated proteins was executed. Signaling pathways with a false discovery rate <0.05 were declared positive. RESULTS: The analysis included 169 cases and 220 controls. A total of 211 discriminant proteins were identified in the training set from the proteomics-based model developed to distinguish ATTR-CM cases from 170 internal controls with hypertensive left ventricular hypertrophy. The area under the receiver-operating characteristic curve to discriminate ATTR-CM in the test set from 50 external controls with HF was 0.89 (95% CI, 0.82–0.96). The sensitivity was 0.90 (95% CI, 0.75–0.97), and the specificity was 0.86 (95% CI, 0.72–0.96). Pathway analysis revealed the PI3K-Akt (phosphoinositide-3-kinase-protein kinase) pathway and its related pathways (eg, JAK-STAT [Janus kinase-signal transducer and activator of transcription]) were dysregulated. Dysregulation of previously identified pathways, such as the complement and coagulation cascade pathways, was also observed. CONCLUSIONS: This study reveals a distinct proteomic profile of ATTR-CM compared with controls with HF, and elucidates both novel and known signaling pathways that are differentially regulated in ATTR-CM.

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