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  Promising Metabolite Profiles in the Plasma and CSF of Early Clinical Parkinson's Disease

Stoessel, D., Schulte, C., Teixeira dos Santos, M. C., Scheller, D., Rebollo-Mesa, I., Deuschle, C., et al. (2018). Promising Metabolite Profiles in the Plasma and CSF of Early Clinical Parkinson's Disease. Frontiers in Aging Neuroscience, 10: 51. doi:10.3389/fnagi.2018.00051.

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Datensatz-Permalink: http://hdl.handle.net/21.11116/0000-0000-CCB1-2 Versions-Permalink: http://hdl.handle.net/21.11116/0000-0000-CCB2-1
Genre: Zeitschriftenartikel

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Stoessel, D.1, Autor              
Schulte, Claudia2, Autor
Teixeira dos Santos, Marcia C.2, Autor
Scheller, Dieter2, Autor
Rebollo-Mesa, Irene2, Autor
Deuschle, Christian2, Autor
Walther, D.1, Autor              
Schauer, Nicolas2, Autor
Berg, Daniela2, Autor
Nogueira da Costa, Andre2, Autor
Maetzler, Walter2, Autor
Affiliations:
1BioinformaticsCIG, Infrastructure Groups and Service Units, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753303              
2External Organizations, ou_persistent22              

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 Zusammenfassung: Parkinson’s disease (PD) shows high heterogeneity with regard to the underlying molecular pathogenesis involving multiple pathways and mechanisms. Diagnosis is still challenging and rests entirely on clinical features. Thus, there is an urgent need for robust diagnostic biofluid markers. Untargeted metabolomics allows establishing low-molecular compound biomarkers in a wide range of complex diseases by the measurement of various molecular classes in biofluids such as blood plasma, serum, and cerebrospinal fluid (CSF). Here, we applied untargeted high-resolution mass spectrometry to determine plasma and CSF metabolite profiles. We semiquantitatively determined small-molecule levels (≤1.5 kDa) in the plasma and CSF from early PD patients (disease duration 0-4 years; n = 80 and 40, respectively), and sex- and age-matched controls (n = 76 and 38, respectively). We performed statistical analyses utilizing partial least square and random forest analysis with a 70/30 training and testing split approach, leading to the identification of 20 promising plasma and 14 CSF metabolites. These metabolites differentiated the test set with an AUC of 0.8 (plasma) and 0.9 (CSF). Characteristics of the metabolites indicate perturbations in the glycerophospholipid, sphingolipid, and amino acid metabolism in PD, which underscores the high power of metabolomic approaches. Further studies will enable to develop a potential metabolite-based biomarker panel specific for PD.

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Sprache(n): eng - Englisch
 Datum: 2018
 Publikationsstatus: Im Druck publiziert
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 Ort, Verlag, Ausgabe: -
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 Art der Begutachtung: -
 Identifikatoren: DOI: 10.3389/fnagi.2018.00051
BibTex Citekey: 10.3389/fnagi.2018.00051
 Art des Abschluß: -

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Titel: Frontiers in Aging Neuroscience
  Kurztitel : Front Aging Neurosci
Genre der Quelle: Zeitschrift
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Affiliations:
Ort, Verlag, Ausgabe: Lausanne : Frontiers Research Foundation
Seiten: - Band / Heft: 10 Artikelnummer: 51 Start- / Endseite: - Identifikator: ISSN: 1663-4365
CoNE: /journals/resource/1663-4365