Metabolomic Profiling Revealed Potential Biomarkers in Patients With Moyamoya Disease

Frontiers in Neuroscience

Feng Jin¹  Changmeng Cui¹  Changshui Wang²  Jun Zhang³  Yujin Guo⁴  Chunmei Geng⁴  Wenxiu Han⁴  Dan Chen⁴  Pei Jiang⁴ 

[1] Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, China;Department of Clinical Translational Medicine, Jining Life Science Center, Jining, China;Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China;Jining First People’s Hospital, Jining Medical University, Jining, China;

关键词: moyamoya disease;    gas chromatography–mass spectrometry;    biomarkers;    serum;    metabolomics;   

DOI  :  10.3389/fnins.2020.00308

来源: DOAJ

【 摘 要 】

Metabolomics is increasingly used to observe metabolic patterns and disease-specific metabolic biomarkers. However, serum metabolite analysis of moyamoya disease (MMD) is rarely reported. We investigated serum metabolites in MMD and compared them with those of healthy controls (HCs) using a non-targeted gas chromatography–mass spectrometry (GC–MS) approach to identify metabolic biomarkers associated with MMD. Forty-one patients with MMD diagnosed by cerebral angiography and 58 HCs were recruited for our study. Comparative analyses (univariate, multivariate, correlation, heatmaps, receiver operating characteristi curves) were performed between MMD patients and HCs. Twenty-five discriminating serum metabolic biomarkers between MMD patients and HCs were identified. Compared with HCs, MMD patients had higher levels of phenol, 2-hydroxybutyric acid, L-isoleucine, L-serine, glycerol, pelargonic acid, L-methionine, myristic acid, pyroglutamic acid, palmitic acid, palmitoleic acid, stearic acid, octadecanamide, monoglyceride (MG) (16:0/0:0/0:0), and MG (0:0/18:0/0:0), and lower levels of L-alanine, L-valine, urea, succinic acid, L-phenylalanine, L-threonine, L-tyrosine, edetic acid, and oleamide. These metabolic biomarkers are involved in several pathways and are closely associated with the metabolism of amino acids, lipids, carbohydrates, and carbohydrate translation. A GC–MS-based metabolomics approach could be useful in the clinical diagnosis of MMD. The identified biomarkers may be helpful to develop an objective diagnostic method for MMD and improve our understanding of MMD pathogenesis.

【 授权许可】

Unknown