Potential role of plasma branched-chain amino acids in the differential diagnosis of acute cerebral venous thrombosis

Author:

Jiang Huimin1,Zhou Chen12,Wei Huimin3,Wu Yan24,Zhou Yifan1,Xiao Xuechun3,Liu Lu25,Li Ming24,Duan Jiangang26,Meng Ran25,Ji Xunming127ORCID

Affiliation:

1. Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Capital Medical University, Beijing, China

2. Neurology and Intracranial Hypertension & Cerebral Venous Disease Center, National Health Commission of China, Xuanwu Hospital, Capital Medical University, Beijing, China

3. Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Biological Science and Medical Engineering, Beihang University, Beijing, China

4. Beijing Institute of Geriatrics, Xuanwu Hospital, Capital Medical University, Beijing, China

5. Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China

6. Department of Emergency, Xuanwu Hospital Capital Medical University, Beijing, China

7. Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China

Abstract

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.

Publisher

SAGE Publications

Subject

Cardiology and Cardiovascular Medicine,Neurology (clinical),Neurology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Metabolomic profiling of deep vein thrombosis;Phlebology: The Journal of Venous Disease;2023-11-22

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