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01902nam a2200253Ia 4500 |
| 001 |
10.1186-s13578-022-00831-5 |
| 008 |
220718s2022 CNT 000 0 und d |
| 020 |
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|a 20453701 (ISSN)
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| 245 |
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|a Metabolomics of blood reveals age-dependent pathways in Parkinson’s Disease
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| 260 |
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|b BioMed Central Ltd
|c 2022
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| 856 |
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|z View Fulltext in Publisher
|u https://doi.org/10.1186/s13578-022-00831-5
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|a 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: 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: 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. © 2022, The Author(s).
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|a Age
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|a Biomarkers
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|a Metabolomics
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|a Parkinson’s Disease
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| 700 |
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|a Angiolillo, A.
|e author
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|a Antonecchia, E.
|e author
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|a Bender, V.
|e author
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|a Camerlenghi, M.
|e author
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|a D’Ascenzo, N.
|e author
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|a Di Costanzo, A.
|e author
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|a Xie, Q.
|e author
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| 773 |
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|t Cell and Bioscience
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