Abstract
Emerging metabolomic tools have created the opportunity to establish metabolic signatures of myocardial injury. We applied a mass spectrometry–based metabolite profiling platform to 36 patients undergoing alcohol septal ablation treatment for hypertrophic obstructive cardiomyopathy, a human model of planned myocardial infarction (PMI). Serial blood samples were obtained before and at various intervals after PMI, with patients undergoing elective diagnostic coronary angiography and patients with spontaneous myocardial infarction (SMI) serving as negative and positive controls, respectively. We identified changes in circulating levels of metabolites participating in pyrimidine metabolism, the tricarboxylic acid cycle and its upstream contributors, and the pentose phosphate pathway. Alterations in levels of multiple metabolites were detected as early as 10 minutes after PMI in an initial derivation group and were validated in a second, independent group of PMI patients. A PMI-derived metabolic signature consisting of aconitic acid, hypoxanthine, trimethylamine N-oxide, and threonine differentiated patients with SMI from those undergoing diagnostic coronary angiography with high accuracy, and coronary sinus sampling distinguished cardiac-derived from peripheral metabolic changes. Our results identify a role for metabolic profiling in the early detection of myocardial injury and suggest that similar approaches may be used for detection or prediction of other disease states.
Authors
Gregory D. Lewis, Ru Wei, Emerson Liu, Elaine Yang, Xu Shi, Maryann Martinovic, Laurie Farrell, Aarti Asnani, Marcoli Cyrille, Arvind Ramanathan, Oded Shaham, Gabriel Berriz, Patricia A. Lowry, Igor F. Palacios, Murat Taşan, Frederick P. Roth, Jiangyong Min, Christian Baumgartner, Hasmik Keshishian, Terri Addona, Vamsi K. Mootha, Anthony Rosenzweig, Steven A. Carr, Michael A. Fifer, Marc S. Sabatine, Robert E. Gerszten
Metabolite changes in the peripheral blood 60 minutes after myocardial injury
Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)