Acute and chronic coronary syndromes (ACS and CCS) are leading causes of mortality. Inflammation is considered a key pathogenic driver of these diseases, but the underlying immune states and their clinical implications remain poorly understood. This study uses multiomic factor analysis (MOFA) on longitudinal multiomic data from blood samples of ACS and CCS patients to uncover hidden sources of variance and provide pathophysiological insights. MOFA reveals multicellular immune signatures linked to disease state and treatment outcome, providing proof-of-concept for using MOFA to understand immune programs in cardiovascular disease.
Publisher
Nature Medicine
Published On
Jun 01, 2024
Authors
Kami Pekayvaz, Corinna Losert, Viktoria Knottenberg, Christoph Gold, Irene V. van Blokland, Roy Oelen, Hilde E. Groot, Jan Walter Benjamins, Sophia Brambs, Rainer Kaiser, Adrian Gottschlich, Gordon Victor Hoffmann, Luke Eivers, Alejandro Martinez-Navarro, Nils Bruns, Susanne Stiller, Sezer Akgöl, Keyang Yue, Vivien Polewka, Raphael Escaig, Markus Joppich, Aleksandar Janjić, Oliver Popp, Sebastian Kobold, Tobias Petzold, Ralf Zimmer, Wolfgang Enard, Kathrin Saar, Philipp Mertins, Norbert Huebner, Pim van der Harst, Lude H. Franke, Monique G. P. van der Wijst, Steffen Massberg, Matthias Heinig, Leo Nicolai, Konstantin Stark
Tags
coronary syndromes
inflammation
multiomic factor analysis
immune signatures
cardiovascular disease
latent factors
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