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Identification of metabolic components of carotid plaque in high‐risk patients utilizing liquid chromatography–tandem mass spectrometry.

Authors :
Ding, Rui
Guan, Wenfei
Yi, Man
Qin, Xiaohong
Wei, Shanshan
Lu, Haoran
Wang, Yuxuan
Lin, Chunnan
Mei, Fei
Xu, Haitao
Wu, Liquan
Source :
Rapid Communications in Mass Spectrometry: RCM. 7/30/2024, Vol. 38 Issue 14, p1-14. 14p.
Publication Year :
2024

Abstract

Objective: Carotid atherosclerosis is a chronic progressive vascular disease that can be complicated by stroke in severe cases. Prompt diagnosis and treatment of high‐risk patients are quite difficult due to the lack of reliable clinical biomarkers. This study aimed to explore potential plaque metabolic markers of stroke‐prone risk and relevant targets for pharmacological intervention. Method: Carotid intima and plaque sample tissues were obtained from 20 patients with cerebrovascular symptoms of carotid origin. An untargeted metabolomics approach based on liquid chromatography–tandem mass spectrometry was utilized to characterize the metabolic profiles of the tissues. Multivariate and univariate analysis tools were used. Results: A total of 154 metabolites were significantly altered in carotid plaque when compared with thickened intima. Of these, 62 metabolites were upregulated, whereas 92 metabolites were downregulated. Support vector machines identified the 15 most important metabolites, such as N‐(cyclopropylmethyl)‐N′‐phenylurea, 9(S)‐HOTrE, ACar 12:2, quinoxaline‐2,3‐dithiol, and l‐thyroxine, as biomarkers for high‐risk plaques. Metabolic pathway analysis showed that abnormal purine and nucleotide metabolism, amino acid metabolism, glutathione metabolism, and vitamin metabolism may contribute to the occurrence and progression of carotid atherosclerotic plaque. Conclusions: Our study identifies the biomarkers and related metabolic mechanisms of carotid plaque, which is stroke‐prone, and provides insights and ideas for the precise prevention and targeted intervention of the disease. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09514198
Volume :
38
Issue :
14
Database :
Academic Search Index
Journal :
Rapid Communications in Mass Spectrometry: RCM
Publication Type :
Academic Journal
Accession number :
177772610
Full Text :
https://doi.org/10.1002/rcm.9763