Multi-omics analyses identify molecular signatures with prognostic values in different heart failure aetiologies

Heart failure (HF) is the leading cause of morbidity and mortality worldwide, and there is an urgent need for more global studies and data mining approaches to uncover its underlying mechanisms. Multiple omics techniques provide a more holistic molecular perspective to study pathophysiological events involved in the development of HF.

Source: Journal of Molecular and Cellular Cardiology - December 6, 2022 Category: Cytology Authors: Joseph Pierre Aboumsallem, Canxia Shi, Sanne De Wit, George Markousis-Mavrogenis, Valentina Bracun, Tim R. Eijgenraam, Martijn F. Hoes, Wouter C. Meijers, Elles M. Screever, Marloes E. Schouten, Adriaan A. Voors, Herman H.W. Sillj é, Rudolf A. De Boer Source Type: research