Literature DB >> 27429122

Identification of novel biomarker candidates for hypertrophic cardiomyopathy and other cardiovascular diseases leading to heart failure.

H Rehulkova1, P Rehulka, A Myslivcova Fucikova, J Stulik, R Pudil.   

Abstract

In-depth proteome discovery analysis represents new strategy in an effort to identify novel reliable specific protein markers for hypertrophic cardiomyopathy and other life threatening cardiovascular diseases. To systematically identify novel protein biomarkers of cardiovascular diseases with high mortality we employed an isobaric tag for relative and absolute quantitation (iTRAQ) proteome technology to make comparative analysis of plasma samples obtained from patients suffering from non-obstructive hypertrophic cardiomyopathy, stable dilated cardiomyopathy, aortic valve stenosis, chronic stable coronary artery disease and stable arterial hypertension. We found 128 plasma proteins whose abundances were uniquely regulated among the analyzed cardiovascular pathologies. 49 of them have not been described yet. Additionally, application of statistical exploratory analyses of the measured protein profiles indicated the relationship in pathophysiology of the examined cardiovascular pathologies.

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Year:  2016        PMID: 27429122     DOI: 10.33549/physiolres.933253

Source DB:  PubMed          Journal:  Physiol Res        ISSN: 0862-8408            Impact factor:   1.881


  4 in total

1.  Identification of a Multiplex Biomarker Panel for Hypertrophic Cardiomyopathy Using Quantitative Proteomics and Machine Learning.

Authors:  Gabriella Captur; Wendy E Heywood; Caroline Coats; Stefania Rosmini; Vimal Patel; Luis R Lopes; Richard Collis; Nina Patel; Petros Syrris; Paul Bassett; Ben O'Brien; James C Moon; Perry M Elliott; Kevin Mills
Journal:  Mol Cell Proteomics       Date:  2019-06-26       Impact factor: 5.911

2.  NMR plasma metabolomics study of patients overcoming acute myocardial infarction: in the first 12 h after onset of chest pain with statistical discrimination towards metabolomic biomarkers.

Authors:  M Petras; D Kalenska; M Samos; T Bolek; M Sarlinova; P Racay; E Halasova; O Strbak; J Stasko; L Musak; M Skorvanova; E Baranovicova
Journal:  Physiol Res       Date:  2020-09-09       Impact factor: 1.881

3.  Application of Proteomics Profiling for Biomarker Discovery in Hypertrophic Cardiomyopathy.

Authors:  Yuichi J Shimada; Kohei Hasegawa; Stephanie M Kochav; Pouya Mohajer; Jeeyoun Jung; Mathew S Maurer; Muredach P Reilly; Michael A Fifer
Journal:  J Cardiovasc Transl Res       Date:  2019-07-05       Impact factor: 4.132

4.  Integrative Multi-Omics Analysis in Calcific Aortic Valve Disease Reveals a Link to the Formation of Amyloid-Like Deposits.

Authors:  Marina A Heuschkel; Nikolaos T Skenteris; Joshua D Hutcheson; Dewy D van der Valk; Juliane Bremer; Philip Goody; Jesper Hjortnaes; Felix Jansen; Carlijn V C Bouten; Antoon van den Bogaerdt; Ljubica Matic; Nikolaus Marx; Claudia Goettsch
Journal:  Cells       Date:  2020-09-24       Impact factor: 6.600

  4 in total

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