Literature DB >> 25451704

Novel extracellular matrix biomarkers as predictors of adverse outcome in chronic heart failure: association between biglycan and response to statin therapy in the CORONA trial.

Thor Ueland1, Pål Aukrust2, Ståle H Nymo3, John Kjekshus4, John J V McMurray5, John Wikstrand6, Dirk Block7, Christian Zaugg8, Lars Gullestad9.   

Abstract

BACKGROUND: The extracellular matrix (ECM) plays an important role in left ventricular remodeling and progression of heart failure (HF). Biglycan and mimecan are ECM proteins that are abundantly expressed in cardiac tissue but have not been evaluated as prognostic markers in HF. We investigated their interaction with statin treatment and association with adverse outcome in chronic HF. METHODS AND
RESULTS: The association between serum levels of biglycan and mimecan and the primary end point (cardiovascular [CV] death, nonfatal myocardial infarction, nonfatal stroke), all-cause mortality, CV death, the composite of all-cause mortality/hospitalization for worsening of HF, and the coronary end point was evaluated in 1,390 patients >60 years of age with ischemic systolic HF in the Controlled Rosuvastatin Multinational Trial in HF (CORONA) population, randomly assigned to 10 mg rosuvastatin or placebo. Serum biglycan and mimecan added no prognostic information beyond conventional risk factors, including N-terminal pro-B-type natriuretic peptide. However, statin treatment improved all outcomes except CV death in patients with low biglycan levels (ie, lower tertile), even after full multivariable adjustment.
CONCLUSIONS: Although circulating levels of mimecan and biglycan were of limited predictive value in patients with chronic HF, circulating biglycan could be a useful marker for targeting statin therapy in patients with HF.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Heart failure; adverse outcome; biglycan; extra cellular matrix; mimecan

Mesh:

Substances:

Year:  2014        PMID: 25451704     DOI: 10.1016/j.cardfail.2014.10.016

Source DB:  PubMed          Journal:  J Card Fail        ISSN: 1071-9164            Impact factor:   5.712


  3 in total

1.  Phrase mining of textual data to analyze extracellular matrix protein patterns across cardiovascular disease.

Authors:  David A Liem; Sanjana Murali; Dibakar Sigdel; Yu Shi; Xuan Wang; Jiaming Shen; Howard Choi; John H Caufield; Wei Wang; Peipei Ping; JiaWei Han
Journal:  Am J Physiol Heart Circ Physiol       Date:  2018-05-18       Impact factor: 4.733

2.  Inflammation: Friend and Foe.

Authors:  John Kjekshus
Journal:  EBioMedicine       Date:  2015-06-03       Impact factor: 8.143

3.  Ski drives an acute increase in MMP-9 gene expression and release in primary cardiac myofibroblasts.

Authors:  Natalie Landry; Morvarid S Kavosh; Krista L Filomeno; Sunil G Rattan; Michael P Czubryt; Ian M C Dixon
Journal:  Physiol Rep       Date:  2018-11
  3 in total

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