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Updated: May 16, 2025

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
Published on: November 29, 2024
Plasma metabolomics differentiating and predicting prognosis of coronary artery disease patients with distinct
Chengyang Lai1, Yangchen Li1, Wenwei Luo2
1School of Medicine, South China University of Technology, Guangzhou, Guangdong, China; Department of Pharmacy, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China; Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China.
Abstract:
This study investigated the metabolic mechanisms underlying the association between malnutrition and poor prognosis in coronary artery disease (CAD). We hypothesized that specific metabolites associated with nutritional status impact all-cause mortality and Major Adverse Cardiovascular Events in CAD patients. To test this hypothesis, we evaluated the nutritional status of 5182 CAD patients from multiple centers using three nutritional risk screening tools and analyzed the impact on CAD outcomes with restricted cubic splines and Cox regression. Poor nutritional status was found to be linked to increased adverse outcomes. Further analysis using multiple linear regression and mediation analysis identified elevated concentrations of β-pseudouridine and dulcitol, and decreased concentrations of l-tryptophan and LPC (18:2/0:0), among other metabolites, as mediators of this association. Employing Least Absolute Shrinkage and Selection Operator for variable selection, we integrated these metabolites with clinical variables, which significantly improved the predictive accuracy for adverse outcomes. Our results highlight significant metabolic disparities in CAD patients based on nutritional status and provide novel insights into the role of nutrition-associated metabolites in CAD prognosis. These findings suggest that customized nutritional interventions targeting these metabolites could positively influence the progression of CAD.
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