scholarly journals METABOLIC PROFILE IN PLASMA AND CSF OF LEVODOPA-INDUCED DYSKINESIA OF PARKINSON’S DISEASE

Author(s):  
Bruno L. Santos-Lobato ◽  
Luiz Gustavo Gardinassi ◽  
Mariza Bortolanza ◽  
Ana Paula Ferranti Peti ◽  
Ângela V. Pimentel ◽  
...  

Structured AbstractBackgroundThe existence of few biomarkers and the lack of a better understanding of the pathophysiology of levodopa-induced dyskinesia (LID) in Parkinson’s disease (PD) require new approaches, as the metabolomic analysis, for discoveries.ObjectivesWe aimed to identify a metabolic profile associated with LID in patients with PD in an original cohort, and to confirm the results in an external cohort (BioFIND).MethodsIn the original cohort, plasma and CSF were collected from 20 healthy controls, 23 patients with PD without LID, and 24 patients with PD with LID. LC-MS/MS and metabolomics data analysis were used to perform untargeted metabolomics. Untargeted metabolomics data from the BioFIND cohort were analyzed.ResultsWe identified a metabolic profile associated with LID in PD, composed of multiple metabolic pathways. In particular, the dysregulation of glycosphingolipids metabolic pathway was more related to LID and was strongly associated with the severity of dyskinetic movements. Further, bile acid biosynthesis and C21-steroid hormone biosynthesis metabolites simultaneously found in plasma and CSF have distinguished patients with LID from other participants. Levels of cortisol and cortisone were reduced in patients with PD and LID compared to patients with PD without LID. Data from the BioFIND cohort confirmed dysregulation in plasma metabolites from the bile acid biosynthesis and C21-steroid hormone biosynthesis pathways.ConclusionThere is a distinct metabolic profile associated with LID in PD, both in plasma and CSF, which may be associated with the dysregulation of lipid metabolism and neuroinflammation.

2007 ◽  
Vol 282 (34) ◽  
pp. 24607-24614 ◽  
Author(s):  
Zhumei Xu ◽  
Olga L. Tavares-Sanchez ◽  
Quanzhong Li ◽  
Josephine Fernando ◽  
Carmen M. Rodriguez ◽  
...  

2000 ◽  
Vol 6 (3) ◽  
pp. 517-526 ◽  
Author(s):  
Bryan Goodwin ◽  
Stacey A. Jones ◽  
Roger R. Price ◽  
Michael A. Watson ◽  
David D. McKee ◽  
...  

Polymers ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1269 ◽  
Author(s):  
Changzhuan Shao ◽  
Jing Song ◽  
Shanguang Zhao ◽  
Hongke Jiang ◽  
Baoping Wang ◽  
...  

Ziyang green tea was considered a medicine food homology plant to improve chronic fatigue Ssyndrome (CFS) in China. The aim of this research was to study the therapeutic effect of selenium-polysaccharides (Se-TP) from Ziyang green tea on CFS and explore its metabolic mechanism. A CFS-rats model was established in the present research and Se-TP was administrated to evaluate the therapeutic effect on CFS. Some serum metabolites including blood urea nitrogen (BUN), blood lactate acid (BLA), corticosterone (CORT), and aldosterone (ALD) were checked. Urine metabolites were analyzed via gas chromatography-mass spectrometry (GC-MS). Multivariate statistical analysis was also used to check the data. The results selected biomarkers that were entered into the MetPA database to analyze their corresponding metabolic pathways. The results demonstrated that Se-TP markedly improved the level of BUN and CORT in CFS rats. A total of eight differential metabolites were detected in GC-MS analysis, which were benzoic acid, itaconic acid, glutaric acid, 4-acetamidobutyric acid, creatine, 2-hydroxy-3-isopropylbutanedioic acid, l-dopa, and 21-hydroxypregnenolone. These differential metabolites were entered into the MetPA database to search for the corresponding metabolic pathways and three related metabolic pathways were screened out. The first pathway was steroid hormone biosynthesis. The second was tyrosine metabolism, and the third was arginine-proline metabolism. The 21-hydroxypregnenolone level of rats in the CFS group markedly increased after the Se-TP administration. In conclusion, Se-TP treatments on CFS rats improved their condition. Its metabolic mechanism was closely related to that which regulates the steroid hormone biosynthesis.


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