scholarly journals MicroRNAs regulating superoxide dismutase 2 are new circulating biomarkers of heart failure

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Emilie Dubois-Deruy ◽  
Marie Cuvelliez ◽  
Jan Fiedler ◽  
Henri Charrier ◽  
Paul Mulder ◽  
...  
2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Emilie Dubois-Deruy ◽  
Marie Cuvelliez ◽  
Jan Fiedler ◽  
Henri Charrier ◽  
Paul Mulder ◽  
...  

2015 ◽  
Vol 23 (15) ◽  
pp. 1220-1232 ◽  
Author(s):  
Rolf Schreckenberg ◽  
Manuel Rebelo ◽  
Alexander Deten ◽  
Martin Weber ◽  
Susanne Rohrbach ◽  
...  

2009 ◽  
Vol 16 (29) ◽  
pp. 3828-3840 ◽  
Author(s):  
D. Tousoulis ◽  
A. Kampoli ◽  
G. Siasos ◽  
E. Stefanadi ◽  
C. Antoniades ◽  
...  

2013 ◽  
Vol 165 (2) ◽  
pp. 208-215.e4 ◽  
Author(s):  
Serge Masson ◽  
Roberto Marchioli ◽  
Dariush Mozaffarian ◽  
Roberto Bernasconi ◽  
Valentina Milani ◽  
...  

2010 ◽  
Vol 18 ◽  
pp. S103-S104
Author(s):  
C. Gabrielides ◽  
J.L. Scott ◽  
R.W. Taylor ◽  
D.A. Young

2013 ◽  
Vol 10 (4) ◽  
pp. 350-358 ◽  
Author(s):  
Eileen O’Meara ◽  
Simon de Denus ◽  
Jean-Lucien Rouleau ◽  
Akshay Desai

2014 ◽  
Vol 21 (4) ◽  
pp. 565-569 ◽  
Author(s):  
Celine Faure ◽  
Pauline Leveille ◽  
Charlotte Dupont ◽  
Chantal Julia ◽  
Pascale Chavatte-Palmer ◽  
...  

Author(s):  
Vincenzo Castiglione ◽  
Alberto Aimo ◽  
Giuseppe Vergaro ◽  
Luigi Saccaro ◽  
Claudio Passino ◽  
...  

AbstractHeart failure (HF) is a significant cause of morbidity and mortality worldwide. Circulating biomarkers reflecting pathophysiological pathways involved in HF development and progression may assist clinicians in early diagnosis and management of HF patients. Natriuretic peptides (NPs) are cardioprotective hormones released by cardiomyocytes in response to pressure or volume overload. The roles of B-type NP (BNP) and N-terminal pro-B-type NP (NT-proBNP) for diagnosis and risk stratification in HF have been extensively demonstrated, and these biomarkers are emerging tools for population screening and as guides to the start of treatment in subclinical HF. On the contrary, conflicting evidence exists on the role of NPs as a guide to HF therapy. Among the other biomarkers, high-sensitivity troponins and soluble suppression of tumorigenesis-2 are the most promising biomarkers for risk stratification, with independent value to NPs. Other biomarkers evaluated as predictors of adverse outcome are galectin-3, growth differentiation factor 15, mid-regional pro-adrenomedullin, and makers of renal dysfunction. Multi-marker scores and genomic, transcriptomic, proteomic, and metabolomic analyses could further refine HF management.


Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
David Berg ◽  
Stephen D Wiviott ◽  
Eugene Braunwald ◽  
David A Morrow ◽  

Background: Circulating biomarkers reflecting pathways implicated in heart failure (HF) may improve HF risk assessment in patients with stable atherosclerotic cardiovascular disease (ASCVD). Hypothesis: We aimed to evaluate the performance of circulating biomarkers of hemodynamic stress, myocardial injury, and inflammation for the prediction of hospitalization for HF (HHF) in a large well-characterized cohort with stable ASCVD followed for a median of 4.1 years. Methods: HPS3/TIMI 55-REVEAL was a randomized, double-blind, placebo-controlled trial of the CETP inhibitor anacetrapib in patients with stable ASCVD. We performed a nested prospective biomarker study, measuring high-sensitivity troponin T (hsTnT), N-terminal pro-B-type natriuretic peptide (NT-proBNP), and growth differentiation factor-15 (GDF-15) (all Roche Diagnostics) at randomization (n=29,673). Hazard ratios were adjusted for covariates of a priori clinical relevance to HHF risk: age, prior HF, hypertension, diabetes mellitus, eGFR <60, body-mass index, and polyvascular disease. Discrimination was assessed using Harrell’s c-index. Results: A significant graded risk of HHF was observed with increasing deciles of hsTnT, NT-proBNP, and GDF-15 (p-trend <0.001 for each) ( Figure ). These associations remained significant after multivariable adjustment for clinical risk factors (p<0.001 for each). When added to a multivariable Cox regression model of clinical risk indicators (c-index 0.74), these 3 biomarkers significantly improved the prognostic performance of the model (c-index 0.85; p<0.001). There was no treatment interaction with anacetrapib. Conclusions: In patients with stable ASCVD, biomarkers of myocardial injury, hemodynamic stress, and inflammation provide incremental information for prediction of HHF. Future studies should address whether these patients are more likely to benefit from emerging HF preventive therapies.


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