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Metabolomic Profiling in LRRK2-Related Parkinson's Disease

BACKGROUND: Mutations in LRRK2 gene represent the most common known genetic cause of Parkinson's disease (PD). METHODOLOGY/PRINCIPAL FINDINGS: We used metabolomic profiling to identify biomarkers that are associated with idiopathic and LRRK2 PD. We compared plasma metabolomic profiles of patien...

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Autores principales: Johansen, Krisztina K., Wang, Lei, Aasly, Jan O., White, Linda R., Matson, Wayne R., Henchcliffe, Claire, Beal, M. Flint, Bogdanov, Mikhail
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2761616/
https://www.ncbi.nlm.nih.gov/pubmed/19847307
http://dx.doi.org/10.1371/journal.pone.0007551
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author Johansen, Krisztina K.
Wang, Lei
Aasly, Jan O.
White, Linda R.
Matson, Wayne R.
Henchcliffe, Claire
Beal, M. Flint
Bogdanov, Mikhail
author_facet Johansen, Krisztina K.
Wang, Lei
Aasly, Jan O.
White, Linda R.
Matson, Wayne R.
Henchcliffe, Claire
Beal, M. Flint
Bogdanov, Mikhail
author_sort Johansen, Krisztina K.
collection PubMed
description BACKGROUND: Mutations in LRRK2 gene represent the most common known genetic cause of Parkinson's disease (PD). METHODOLOGY/PRINCIPAL FINDINGS: We used metabolomic profiling to identify biomarkers that are associated with idiopathic and LRRK2 PD. We compared plasma metabolomic profiles of patients with PD due to the G2019S LRRK2 mutation, to asymptomatic family members of these patients either with or without G2019S LRRK2 mutations, and to patients with idiopathic PD, as well as non-related control subjects. We found that metabolomic profiles of both idiopathic PD and LRRK2 PD subjects were clearly separated from controls. LRRK2 PD patients had metabolomic profiles distinguishable from those with idiopathic PD, and the profiles could predict whether the PD was secondary to LRRK2 mutations or idiopathic. Metabolomic profiles of LRRK2 PD patients were well separated from their family members, but there was a slight overlap between family members with and without LRRK2 mutations. Both LRRK2 and idiopathic PD patients showed significantly reduced uric acid levels. We also found a significant decrease in levels of hypoxanthine and in the ratios of major metabolites of the purine pathway in plasma of PD patients. CONCLUSIONS/SIGNIFICANCE: These findings show that LRRK2 patients with the G2019S mutation have unique metabolomic profiles that distinguish them from patients with idiopathic PD. Furthermore, asymptomatic LRRK2 carriers can be separated from gene negative family members, which raises the possibility that metabolomic profiles could be useful in predicting which LRRK2 carriers will eventually develop PD. The results also suggest that there are aberrations in the purine pathway in PD which may occur upstream from uric acid.
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spelling pubmed-27616162009-10-22 Metabolomic Profiling in LRRK2-Related Parkinson's Disease Johansen, Krisztina K. Wang, Lei Aasly, Jan O. White, Linda R. Matson, Wayne R. Henchcliffe, Claire Beal, M. Flint Bogdanov, Mikhail PLoS One Research Article BACKGROUND: Mutations in LRRK2 gene represent the most common known genetic cause of Parkinson's disease (PD). METHODOLOGY/PRINCIPAL FINDINGS: We used metabolomic profiling to identify biomarkers that are associated with idiopathic and LRRK2 PD. We compared plasma metabolomic profiles of patients with PD due to the G2019S LRRK2 mutation, to asymptomatic family members of these patients either with or without G2019S LRRK2 mutations, and to patients with idiopathic PD, as well as non-related control subjects. We found that metabolomic profiles of both idiopathic PD and LRRK2 PD subjects were clearly separated from controls. LRRK2 PD patients had metabolomic profiles distinguishable from those with idiopathic PD, and the profiles could predict whether the PD was secondary to LRRK2 mutations or idiopathic. Metabolomic profiles of LRRK2 PD patients were well separated from their family members, but there was a slight overlap between family members with and without LRRK2 mutations. Both LRRK2 and idiopathic PD patients showed significantly reduced uric acid levels. We also found a significant decrease in levels of hypoxanthine and in the ratios of major metabolites of the purine pathway in plasma of PD patients. CONCLUSIONS/SIGNIFICANCE: These findings show that LRRK2 patients with the G2019S mutation have unique metabolomic profiles that distinguish them from patients with idiopathic PD. Furthermore, asymptomatic LRRK2 carriers can be separated from gene negative family members, which raises the possibility that metabolomic profiles could be useful in predicting which LRRK2 carriers will eventually develop PD. The results also suggest that there are aberrations in the purine pathway in PD which may occur upstream from uric acid. Public Library of Science 2009-10-22 /pmc/articles/PMC2761616/ /pubmed/19847307 http://dx.doi.org/10.1371/journal.pone.0007551 Text en Johansen et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Johansen, Krisztina K.
Wang, Lei
Aasly, Jan O.
White, Linda R.
Matson, Wayne R.
Henchcliffe, Claire
Beal, M. Flint
Bogdanov, Mikhail
Metabolomic Profiling in LRRK2-Related Parkinson's Disease
title Metabolomic Profiling in LRRK2-Related Parkinson's Disease
title_full Metabolomic Profiling in LRRK2-Related Parkinson's Disease
title_fullStr Metabolomic Profiling in LRRK2-Related Parkinson's Disease
title_full_unstemmed Metabolomic Profiling in LRRK2-Related Parkinson's Disease
title_short Metabolomic Profiling in LRRK2-Related Parkinson's Disease
title_sort metabolomic profiling in lrrk2-related parkinson's disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2761616/
https://www.ncbi.nlm.nih.gov/pubmed/19847307
http://dx.doi.org/10.1371/journal.pone.0007551
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