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Novel plasma biomarkers predicting biventricular involvement in arrhythmogenic right ventricular cardiomyopathy - 31/12/21

Doi : 10.1016/j.ahj.2021.10.187 
Deniz Akdis, MD a, #, Liang Chen, MD, PhD b, #, Ardan M. Saguner, MD a, Ningning Zhang, BS b, Joanna Gawinecka, PhD c, Lanja Saleh, MD c, Arnold von Eckardstein, MD c, d, Jie Ren, MD b, Christian M. Matter, MD a, Zhenliang Hu, MD b, Xiao Chen, MS b, Felix C. Tanner, MD a, Robert Manka, MD a, Kai Chen, MD, PhD b, Corinna Brunckhorst, MD a, Jiangping Song, MD, PhD b, $, , Firat Duru, MD a, d, $,
a Department of Cardiology, University Heart Center Zurich, Zurich, Switzerland 
b State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. 
c Department of Clinical Chemistry, University Hospital Zurich, Zurich, Switzerland 
d Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland 

Corresponding authors: Firat Duru: University Heart Center Zurich, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, SwitzerlandUniversity Heart Center ZurichUniversity Hospital ZurichRaemistrasse 1008091Switzerland⁎⁎Jiangping Song: Peking Union Medical College and State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, 167 Beilishi Road, 100037, Beijing, ChinaUniversity Heart Center ZurichUniversity Hospital ZurichRaemistrasse 1008091Switzerland

Riassunto

Background

Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited heart muscle disease characterized by fibrofatty replacement of the myocardium and ventricular arrhythmias. Biventricular involvement in ARVC may lead to heart failure. This study aimed to investigate the role of plasma biomarkers soluble (s)ST2, Galectin-3 (Gal-3) and GDF-15 in predicting biventricular involvement and adverse outcomes in ARVC.

Methods and Results

ARVC patients from 2 independent cohorts, were studied. The Bejing (Chinese) cohort (n = 108) was the discovery cohort, whereas the Zurich (Swiss) cohort (n = 47) served as validation. All patients had a definite ARVC diagnosis at time of blood withdrawal. Biomarkers were independently correlated with NT-proBNP and left ventricular (LV)-function. ARVC patients with LV involvement had higher levels of sST2 and GDF-15 as compared to controls and patients with isolated right ventricle (RV) involvement. sST2 and GDF-15 were significantly correlated with late gadolinium enhancement in CMR and with adverse heart failure outcomes. Gal-3 was elevated in ARVC patients with and without LV involvement. The combined use of the three biomarkers (sST2, GDF-15 and NT-proBNP) showed the best performance in predicting LV involvement in both cohorts. Plasma drawn from the coronary arteries and coronary sinus indicated a transmyocardial elevation of sST2, but no transmyocardial gradient of GDF-15. After heart transplantation, both sST2 and GDF-15 returned to near-normal levels.

Conclusion

Our study showed that sST2 and GDF-15 may predict biventricular involvement in ARVC. The combined use of sST2, GDF-15 and NT-proBNP showed the best prediction of biventricular involvement in ARVC.

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Graphical abstractAU: Please provide the all author(s) degree. Novel biomarkers in ARVC, Plasma levels of sST2 and GDF-15 are elevated in ARVC patients with biventricular (BiV) involvement and these biomarkers are correlated with adverse heart failure outcomes, whereas Gal-3 levels are elevated in patients with and without BiV involvement. The combined use of sST2, GDF-15 and NT-proBNP showed the best prediction of BiV involvement in ARVC.

Graphical abstract

Novel biomarkers in ARVC, Plasma levels of sST2 and GDF-15 are elevated in ARVC patients with biventricular (BiV) involvement and these biomarkers are correlated with adverse heart failure outcomes, whereas Gal-3 levels are elevated in patients with and without BiV involvement. The combined use of sST2, GDF-15 and NT-proBNP showed the best prediction of BiV involvement in ARVC.




Image, graphical abstract.

Il testo completo di questo articolo è disponibile in PDF.

Keywords : Arrhythmogenic cardiomyopathy, Right ventricular, Biomarker, Heart failure, Risk stratification


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P. 66-76 - febbraio 2022 Ritorno al numero
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