Heidi S Lumish, Lorenzo R Sewanan, Lusha W Liang, Kohei Hasegawa, Mathew S Maurer, Muredach P Reilly, Yuichi J Shimada
{"title":"Comprehensive Plasma Proteomic Profiling Reveals Differentially Regulated Signaling Pathways Underlying Left Ventricular Hypertrophy Between Hypertrophic Cardiomyopathy and Aortic Stenosis.","authors":"Heidi S Lumish, Lorenzo R Sewanan, Lusha W Liang, Kohei Hasegawa, Mathew S Maurer, Muredach P Reilly, Yuichi J Shimada","doi":"10.1007/s12265-025-10618-x","DOIUrl":null,"url":null,"abstract":"<p><p>Hypertrophic cardiomyopathy (HCM) is the most common genetic myocardial disease, characterized by asymmetric left ventricular hypertrophy (LVH) due to sarcomeric mutations. Aortic stenosis (AS) results in concentric LVH, due to pressure overload. The aim of this study was to identify signaling pathways differentially regulated in HCM compared to AS, using plasma proteomic profiling. 76 HCM cases and 36 AS controls were matched by age and sex. A machine-learning (ML) model to predict HCM was built in the training set (70% cohort) and examined in the test set (30% cohort). Pathway analysis of proteins differentially expressed between HCM and AS was performed. The ML model accurately distinguished HCM from AS, with area under the receiver operating characteristic curve of 0.90 (95% CI: 0.79-1.00). Pathway analysis revealed differential regulation of Ras-MAPK, inflammatory and metabolic pathways. In conclusion, this study identified distinctive proteomic profiles and signaling pathways underlying LVH in HCM compared to AS.</p>","PeriodicalId":15224,"journal":{"name":"Journal of Cardiovascular Translational Research","volume":" ","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cardiovascular Translational Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12265-025-10618-x","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Hypertrophic cardiomyopathy (HCM) is the most common genetic myocardial disease, characterized by asymmetric left ventricular hypertrophy (LVH) due to sarcomeric mutations. Aortic stenosis (AS) results in concentric LVH, due to pressure overload. The aim of this study was to identify signaling pathways differentially regulated in HCM compared to AS, using plasma proteomic profiling. 76 HCM cases and 36 AS controls were matched by age and sex. A machine-learning (ML) model to predict HCM was built in the training set (70% cohort) and examined in the test set (30% cohort). Pathway analysis of proteins differentially expressed between HCM and AS was performed. The ML model accurately distinguished HCM from AS, with area under the receiver operating characteristic curve of 0.90 (95% CI: 0.79-1.00). Pathway analysis revealed differential regulation of Ras-MAPK, inflammatory and metabolic pathways. In conclusion, this study identified distinctive proteomic profiles and signaling pathways underlying LVH in HCM compared to AS.
期刊介绍:
Journal of Cardiovascular Translational Research (JCTR) is a premier journal in cardiovascular translational research.
JCTR is the journal of choice for authors seeking the broadest audience for emerging technologies, therapies and diagnostics, pre-clinical research, and first-in-man clinical trials.
JCTR''s intent is to provide a forum for critical evaluation of the novel cardiovascular science, to showcase important and clinically relevant aspects of the new research, as well as to discuss the impediments that may need to be overcome during the translation to patient care.