Evidence map›Paper›PMID 41944198›Full record

ArticleJournal of the American Heart Association2026

Characteristics of Protein Profiling and Biomarkers in Aortic Regurgitation With Heart Failure.

Cheng-Yao Ni, Hai-Tao Hou, Hai-Ge Zhao, Yi-Ming Ni, Liang Ma, Guo-Wei He

Abstract read
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Article in Journal of the American Heart Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Cheng-Yao NiDepartment of Cardiac Surgery, The First Affiliated Hospital Zhejiang University Hangzhou China.
Hai-Tao HouDepartment of Cardiovascular Surgery, TEDA International Cardiovascular Hospital Tianjin University & Chinese Academy of Medical Sciences Tianjin China.ORCID 0000-0002-8907-1985
Hai-Ge ZhaoDepartment of Cardiac Surgery, The First Affiliated Hospital Zhejiang University Hangzhou China.ORCID 0000-0003-1533-0304
Yi-Ming NiDepartment of Cardiac Surgery, The First Affiliated Hospital Zhejiang University Hangzhou China.ORCID 0000-0002-2909-6734
Liang MaDepartment of Cardiac Surgery, The First Affiliated Hospital Zhejiang University Hangzhou China.ORCID 0000-0001-8054-4582
Guo-Wei HeDepartment of Cardiac Surgery, The First Affiliated Hospital Zhejiang University Hangzhou China.ORCID 0000-0001-6497-876X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundValvular heart disease, particularly aortic valve disease including stenosis and regurgitation, is a common heart disease. This study aimed to explore the protein profiling and the biomarkers in severe aortic valve disease and to provide new insights into the therapeutic strategy.

methodsBlood samples from 80 subjects were collected and analyzed by data independent acquisition technique in 3 comparisons (mild/moderate-control, severe-control, and severe-mild/moderate) and validated by ELISA. The diagnostic value of differentially expressed proteins associated with severe valvular heart disease was also evaluated by the receiver operating characteristic curve.

resultsA total of 9976 peptides and 451 proteins were identified through liquid chromatography-tandem mass spectrometry analysis. From these, 64 in mild/moderate-control, 50 in severe-control, and 50 in severe-mild/moderate comparisons were identified as differentially expressed proteins. IGFBP7 (insulin-like growth factor-binding protein 7; 5581.0±697.0 ng/mL), DSG1 (desmoglein-1; 21.0±2.0 pg/mL), ADIPOQ (adiponectin; 26 686.0±3730 ng/mL), and JUP (junction plakoglobin; 10.2±0.6 ng/mL) levels in the severe group were significantly higher than that in the mild/moderate (

conclusionsBy constructing proteomics profile to identify the protein characteristics this study found that increased IGFBP7, DSG1, JUP, and ADIPOQ are the characteristics of proteins in patients with severe valvular heart disease. These findings provide new insight into the diagnosis and pathogenesis of valvular heart disease, particularly aortic valve disease.

Indexed as

Aortic Valve InsufficiencyHeart FailureProteomicsAdiponectinAgedBiomarkersCase-Control StudiesChromatography, LiquidEnzyme-Linked Immunosorbent AssayFemaleHumansInsulin-Like Growth Factor Binding ProteinsMaleMiddle AgedPredictive Value of TestsROC CurveAdiponectinADIPOQ protein, humanBiomarkersinsulin-like growth factor binding protein-related protein 1Insulin-Like Growth Factor Binding ProteinsADIPOQaortic regurgitationdata independent acquisitionIGFBP7proteomics

Identifiers

PMID41944198
PMCPMC13279130

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.