Zahra Amirsardari
Tehran University of Medical Sciences, Iran
Title: Revolutionizing early detection of coronary artery aneurysms in Kawasaki disease: A breakthrough biomarker unveiled through metabolomics profiling
Biography
Biography: Zahra Amirsardari
Abstract
Abstract
Background: Kawasaki disease is a childhood vasculitis known for its potential to cause coronary artery complications. The identification of patients at higher risk of developing such complications is of utmost importance to mitigate their severity. Therefore, this study aimed to explore metabolomics profiles in patients with Kawasaki disease (KD) and uncover potential prognostic biomarkers capable of predicting coronary aneurysms.
Methods: A total of 26 Kawasaki patients and 28 healthy controls were subjected to metabolomics profiling analysis. The Liquid Chromatography with Tandem Mass Spectrometry method was utilized to analyze 44 metabolites, including 12 amino acids, L-carnation, and 31 acylcarnitines. Coronary arteries were evaluated using echocardiography.
Results: Isovalerylcarnitine (C5) and Hydroxytetradecanoylcarnitine (C14-OH) exhibited differential expression in Kawasaki patients compared to healthy controls (Figure1). Additionally, Tetradecanoylcarnitine (C14) was identified as a potential biomarker for predicting coronary artery aneurysms in Kawasaki disease. According to the KEGG database, the most enriched pathways in Kawasaki disease patients were Arginine biosynthesis and Alanine, Aspartate, and Glutamine metabolism pathways (Figure2).
Conclusions: Our results provide valuable insights into the metabolic pathways underlying Kawasaki disease by identifying differentially expressed metabolites associated with this disorder, which may serve as predictive biomarkers for coronary artery aneurysms. These findings have the potential to enhance Kawasaki disease patient outcomes through earlier identification of high-risk cases and improved treatment strategies.