Alterations of Sphingolipid and Phospholipid Pathways and Ornithine Level in the Plasma as Biomarkers of Parkinson's Disease

被引:27
作者
Chang, Kuo-Hsuan [1 ,2 ]
Cheng, Mei-Ling [3 ,4 ,5 ]
Tang, Hsiang-Yu [4 ]
Huang, Cheng-Yu [4 ]
Wu, Hsiu-Chuan [1 ,2 ]
Chen, Chiung-Mei [1 ,2 ]
机构
[1] Chang Gung Univ, Chang Gung Mem Hosp, Dept Neurol, Linkou Med Ctr, Taoyuan 333423, Taiwan
[2] Chang Gung Univ, Coll Med, Taoyuan 333423, Taiwan
[3] Chang Gung Univ, Dept Biomed Sci, Taoyuan 33323, Taiwan
[4] Chang Gung Univ, Hlthy Aging Res Ctr, Metabol Core Lab, Taoyuan 333323, Taiwan
[5] Chang Gung Mem Hosp, Clin Metabol Core Lab, Taoyuan 333426, Taiwan
关键词
Parkinson's disease; biomarker; metabolomics; sphingomyelin; phosphatidylethanolamine; phosphatidylcholine; ALPHA-SYNUCLEIN; PHOSPHATIDYLCHOLINE; METABOLISM; PHOSPHATIDYLETHANOLAMINE; IDENTIFICATION; DEFICIENCY; DIAGNOSIS; PATHOLOGY; GLYCINE; MODELS;
D O I
10.3390/cells11030395
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
The biomarkers of Parkinson's disease (PD) remain to be investigated. This work aimed to identify blood biomarkers for PD using targeted metabolomics analysis. We quantified the plasma levels of 255 metabolites in 92 PD patients and 60 healthy controls (HC). PD patients were sub-grouped into early (Hoehn-Yahr stage <= 2, n = 72) and advanced (Hoehn-Yahr stage > 2, n = 20) stages. Fifty-nine phospholipids, 3 fatty acids, 3 amino acids, and 7 biogenic amines, demonstrated significant alterations in PD patients. Six of them, dihydro sphingomyelin (SM) 24:0, 22:0, 20:0, phosphatidylethanolamine-plasmalogen (PEp) 38:6, and phosphatidylcholine 38:5 and 36:6, demonstrated lowest levels in PD patients in the advanced stage, followed by those in the early stage and HC. By contrast, the level of ornithine was highest in PD patients at the advanced stage, followed by those at the early stage and HC. These biomarker candidates demonstrated significant correlations with scores of motor disability, cognitive dysfunction, depression, and quality of daily life. The support vector machine algorithm using alpha-synuclein, dihydro SM 24:0, and PEp 38:6 demonstrated good ability to separate PD from HC (AUC: 0.820). This metabolomic analysis demonstrates new plasma biomarker candidates for PD and supports their role in participating PD pathogenesis and monitoring disease progression.
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页数:16
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