Journal
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
Volume 43, Issue 9, Pages 1532-1543Publisher
SAGE PUBLICATIONS INC
DOI: 10.1177/0271678X231170037
Keywords
Stroke; cerebral venous thrombosis; cerebral infarction; cerebral hemorrhage; branched chain amino acid
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In this study, metabolomic analysis was performed on plasma samples from acute CVT patients and healthy controls to identify specific biomarkers with high predictive ability for the diagnosis of acute CVT. The results showed that the caffeine metabolism pathway and the biosynthesis pathway for the BCAAs valine, leucine, and isoleucine were significant pathways between the CVT and healthy cohorts. The concentrations of BCAAs demonstrated good diagnostic efficacy for differentiating patients with acute CVT from the control cohort.
Cerebral venous thrombosis (CVT) is a special and easily misdiagnosed or undiagnosed subtype of stroke. To identify specific biomarkers with a high predictive ability for the diagnosis of acute CVT, we performed metabolomic analysis in plasma samples from acute CVT patients and healthy controls and confirmed the results in validation cohorts. In the discovery stage, there were 343 differential metabolites, and the caffeine metabolism pathway and the biosynthesis pathway for the branched chain amino acids (BCAAs) valine, leucine, and isoleucine were two significant pathways between the CVT and healthy cohorts. The area under the curve (AUC) for metabolites associated with valine, leucine, and isoleucine biosynthesis was 0.934. In the validation stage, the BCAA concentrations demonstrated an AUC of 0.935 to differentiate patients with acute CVT from the control cohort. In addition, BCAAs combined with D-dimer levels were used to establish a diagnostic model for CVT, and the AUC was 0.951, showing good diagnostic efficacy of separating CVT patients from the control cohort. BCAAs as plasma biomarkers deserve to be further studied and even developed in clinical CVT management.
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