Untargeted high-resolution plasma metabolomic profiling predicts outcomes in patients with coronary artery disease.

Autor: Anurag Mehta, Chang Liu, Aditi Nayak, Ayman S Tahhan, Yi-An Ko, Devinder S Dhindsa, Jeong Hwan Kim, Salim S Hayek, Laurence S Sperling, Puja K Mehta, Yan V Sun, Karan Uppal, Dean P Jones, Arshed A Quyyumi
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: PLoS ONE, Vol 15, Iss 8, p e0237579 (2020)
Druh dokumentu: article
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0237579
Popis: OBJECTIVE:Patients with CAD have substantial residual risk of mortality, and whether hitherto unknown small-molecule metabolites and metabolic pathways contribute to this risk is unclear. We sought to determine the predictive value of plasma metabolomic profiling in patients with CAD. APPROACH AND RESULTS:Untargeted high-resolution plasma metabolomic profiling of subjects undergoing coronary angiography was performed using liquid chromatography/mass spectrometry. Metabolic features and pathways associated with mortality were identified in 454 subjects using metabolome-wide association studies and Mummichog, respectively, and validated in 322 subjects. A metabolomic risk score comprising of log-transformed HR estimates of metabolites that associated with mortality and passed LASSO regression was created and its performance validated. In 776 subjects (66.8 years, 64% male, 17% Black), 433 and 357 features associated with mortality (FDR-adjusted q
Databáze: Directory of Open Access Journals
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