Metabolomics of blood reveals age-dependent pathways in Parkinson's Disease.
Age
Biomarkers
Metabolomics
Parkinson’s Disease
Journal
Cell & bioscience
ISSN: 2045-3701
Titre abrégé: Cell Biosci
Pays: England
ID NLM: 101561195
Informations de publication
Date de publication:
06 Jul 2022
06 Jul 2022
Historique:
received:
13
01
2022
accepted:
08
06
2022
entrez:
6
7
2022
pubmed:
7
7
2022
medline:
7
7
2022
Statut:
epublish
Résumé
Parkinson's Disease (PD) is the second most frequent degenerative disorder, the risk of which increases with age. A preclinical PD diagnostic test does not exist. We identify PD blood metabolites and metabolic pathways significantly correlated with age to develop personalized age-dependent PD blood biomarkers. We found 33 metabolites producing a receiver operating characteristic (ROC) area under the curve (AUC) value of 97%. PCA revealed that they belong to three pathways with distinct age-dependent behavior: glycine, threonine and serine metabolism correlates with age only in PD patients; unsaturated fatty acids biosynthesis correlates with age only in a healthy control group; and, finally, tryptophan metabolism characterizes PD but does not correlate with age. The targeted analysis of the blood metabolome proposed in this paper allowed to find specific age-related metabolites and metabolic pathways. The model offers a promising set of blood biomarkers for a personalized age-dependent approach to the early PD diagnosis.
Sections du résumé
BACKGROUND
BACKGROUND
Parkinson's Disease (PD) is the second most frequent degenerative disorder, the risk of which increases with age. A preclinical PD diagnostic test does not exist. We identify PD blood metabolites and metabolic pathways significantly correlated with age to develop personalized age-dependent PD blood biomarkers.
RESULTS
RESULTS
We found 33 metabolites producing a receiver operating characteristic (ROC) area under the curve (AUC) value of 97%. PCA revealed that they belong to three pathways with distinct age-dependent behavior: glycine, threonine and serine metabolism correlates with age only in PD patients; unsaturated fatty acids biosynthesis correlates with age only in a healthy control group; and, finally, tryptophan metabolism characterizes PD but does not correlate with age.
CONCLUSIONS
CONCLUSIONS
The targeted analysis of the blood metabolome proposed in this paper allowed to find specific age-related metabolites and metabolic pathways. The model offers a promising set of blood biomarkers for a personalized age-dependent approach to the early PD diagnosis.
Identifiants
pubmed: 35794650
doi: 10.1186/s13578-022-00831-5
pii: 10.1186/s13578-022-00831-5
pmc: PMC9258166
doi:
Types de publication
Journal Article
Langues
eng
Pagination
102Subventions
Organisme : Horizon 2020
ID : 857223
Informations de copyright
© 2022. The Author(s).
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