Your browser doesn't support javascript.
loading
Alterations of Sphingolipid and Phospholipid Pathways and Ornithine Level in the Plasma as Biomarkers of Parkinson's Disease.
Chang, Kuo-Hsuan; Cheng, Mei-Ling; Tang, Hsiang-Yu; Huang, Cheng-Yu; Wu, Hsiu-Chuan; Chen, Chiung-Mei.
Afiliação
  • Chang KH; Department of Neurology, Chang Gung Memorial Hospital Linkou Medical Center and College of Medicine, Chang Gung University, Taoyuan 333423, Taiwan.
  • Cheng ML; Department of Biomedical Sciences, Chang Gung University, Taoyuan 33323, Taiwan.
  • Tang HY; Metabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan 333323, Taiwan.
  • Huang CY; Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital, Taoyuan 333426, Taiwan.
  • Wu HC; Metabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan 333323, Taiwan.
  • Chen CM; Metabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan 333323, Taiwan.
Cells ; 11(3)2022 01 24.
Article em En | MEDLINE | ID: mdl-35159203
ABSTRACT
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) 240, 220, 200, phosphatidylethanolamine-plasmalogen (PEp) 386, and phosphatidylcholine 385 and 366, 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 α-synuclein, dihydro SM 240, and PEp 386 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.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença de Parkinson / Pessoas com Deficiência / Transtornos Motores Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Cells Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Taiwan

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doença de Parkinson / Pessoas com Deficiência / Transtornos Motores Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Cells Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Taiwan