Prognostic biomarkers of Parkinson’s disease in the Spanish EPIC cohort: a multiplatform metabolomics approach

Abstract The lack of knowledge about the onset and progression of Parkinson’s disease (PD) hampers its early diagnosis and treatment. Metabolomics might shed light on the PD imprint seeking a broader view of the biochemical remodeling induced by this disease in an early and pre-symptomatic stage and...

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Main Authors: Carolina Gonzalez-Riano, Jorge Saiz, Coral Barbas, Alberto Bergareche, José Mª Huerta, Eva Ardanaz, Marcela Konjevod, Elisabet Mondragon, M. E. Erro, M. Dolores Chirlaque, Eunate Abilleira, Fernando Goñi-Irigoyen, Pilar Amiano
Format: Article
Language:English
Published: Nature Publishing Group 2021-08-01
Series:npj Parkinson's Disease
Online Access:https://doi.org/10.1038/s41531-021-00216-4
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spelling doaj-d72697d939a14d919cf764748d1b221b2021-08-22T11:29:51ZengNature Publishing Groupnpj Parkinson's Disease2373-80572021-08-017111210.1038/s41531-021-00216-4Prognostic biomarkers of Parkinson’s disease in the Spanish EPIC cohort: a multiplatform metabolomics approachCarolina Gonzalez-Riano0Jorge Saiz1Coral Barbas2Alberto Bergareche3José Mª Huerta4Eva Ardanaz5Marcela Konjevod6Elisabet Mondragon7M. E. Erro8M. Dolores Chirlaque9Eunate Abilleira10Fernando Goñi-Irigoyen11Pilar Amiano12Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del MonteCentro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del MonteCentro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del MonteNeurodegenerative Disorders Area, Biodonostia Health Research InstituteInstituto Murciano de Investigación Biosanitaria (IMIB)CIBER de Epidemiología y Salud Pública (CIBERESP)Division of Molecular Medicine, Rudjer Boskovic InstituteNeurodegenerative Disorders Area, Biodonostia Health Research InstituteDepartment of Neurology, Complejo Hospitalario de Navarra, IdiSNA (Navarra Institute for Health Research)Instituto Murciano de Investigación Biosanitaria (IMIB)Public Health Laboratory in Gipuzkoa, Biodonostia Health Research InstituteCIBER de Epidemiología y Salud Pública (CIBERESP)CIBER de Epidemiología y Salud Pública (CIBERESP)Abstract The lack of knowledge about the onset and progression of Parkinson’s disease (PD) hampers its early diagnosis and treatment. Metabolomics might shed light on the PD imprint seeking a broader view of the biochemical remodeling induced by this disease in an early and pre-symptomatic stage and unveiling potential biomarkers. To achieve this goal, we took advantage of the great potential of the European Prospective Study on Nutrition and Cancer (EPIC) cohort to apply metabolomics searching for early diagnostic PD markers. This cohort consisted of healthy volunteers that were followed for around 15 years until June 2011 to ascertain incident PD. For this untargeted metabolomics-based study, baseline preclinical plasma samples of 39 randomly selected individuals that developed PD (Pre-PD group) and the corresponding control group were analyzed using a multiplatform approach. Data were statistically analyzed and exposed alterations in 33 metabolites levels, including significantly lower levels of free fatty acids (FFAs) in the preclinical samples from PD subjects. These results were then validated by adopting a targeted HPLC-QqQ-MS approach. After integrating all the metabolites affected, our finding revealed alterations in FFAs metabolism, mitochondrial dysfunction, oxidative stress, and gut–brain axis dysregulation long before the development of PD hallmarks. Although the biological purpose of these events is still unknown, the remodeled metabolic pathways highlighted in this work might be considered worthy prognostic biomarkers of early prodromal PD. The findings revealed by this work are of inestimable value since this is the first study conducted with samples collected many years before the disease development.https://doi.org/10.1038/s41531-021-00216-4
collection DOAJ
language English
format Article
sources DOAJ
author Carolina Gonzalez-Riano
Jorge Saiz
Coral Barbas
Alberto Bergareche
José Mª Huerta
Eva Ardanaz
Marcela Konjevod
Elisabet Mondragon
M. E. Erro
M. Dolores Chirlaque
Eunate Abilleira
Fernando Goñi-Irigoyen
Pilar Amiano
spellingShingle Carolina Gonzalez-Riano
Jorge Saiz
Coral Barbas
Alberto Bergareche
José Mª Huerta
Eva Ardanaz
Marcela Konjevod
Elisabet Mondragon
M. E. Erro
M. Dolores Chirlaque
Eunate Abilleira
Fernando Goñi-Irigoyen
Pilar Amiano
Prognostic biomarkers of Parkinson’s disease in the Spanish EPIC cohort: a multiplatform metabolomics approach
npj Parkinson's Disease
author_facet Carolina Gonzalez-Riano
Jorge Saiz
Coral Barbas
Alberto Bergareche
José Mª Huerta
Eva Ardanaz
Marcela Konjevod
Elisabet Mondragon
M. E. Erro
M. Dolores Chirlaque
Eunate Abilleira
Fernando Goñi-Irigoyen
Pilar Amiano
author_sort Carolina Gonzalez-Riano
title Prognostic biomarkers of Parkinson’s disease in the Spanish EPIC cohort: a multiplatform metabolomics approach
title_short Prognostic biomarkers of Parkinson’s disease in the Spanish EPIC cohort: a multiplatform metabolomics approach
title_full Prognostic biomarkers of Parkinson’s disease in the Spanish EPIC cohort: a multiplatform metabolomics approach
title_fullStr Prognostic biomarkers of Parkinson’s disease in the Spanish EPIC cohort: a multiplatform metabolomics approach
title_full_unstemmed Prognostic biomarkers of Parkinson’s disease in the Spanish EPIC cohort: a multiplatform metabolomics approach
title_sort prognostic biomarkers of parkinson’s disease in the spanish epic cohort: a multiplatform metabolomics approach
publisher Nature Publishing Group
series npj Parkinson's Disease
issn 2373-8057
publishDate 2021-08-01
description Abstract The lack of knowledge about the onset and progression of Parkinson’s disease (PD) hampers its early diagnosis and treatment. Metabolomics might shed light on the PD imprint seeking a broader view of the biochemical remodeling induced by this disease in an early and pre-symptomatic stage and unveiling potential biomarkers. To achieve this goal, we took advantage of the great potential of the European Prospective Study on Nutrition and Cancer (EPIC) cohort to apply metabolomics searching for early diagnostic PD markers. This cohort consisted of healthy volunteers that were followed for around 15 years until June 2011 to ascertain incident PD. For this untargeted metabolomics-based study, baseline preclinical plasma samples of 39 randomly selected individuals that developed PD (Pre-PD group) and the corresponding control group were analyzed using a multiplatform approach. Data were statistically analyzed and exposed alterations in 33 metabolites levels, including significantly lower levels of free fatty acids (FFAs) in the preclinical samples from PD subjects. These results were then validated by adopting a targeted HPLC-QqQ-MS approach. After integrating all the metabolites affected, our finding revealed alterations in FFAs metabolism, mitochondrial dysfunction, oxidative stress, and gut–brain axis dysregulation long before the development of PD hallmarks. Although the biological purpose of these events is still unknown, the remodeled metabolic pathways highlighted in this work might be considered worthy prognostic biomarkers of early prodromal PD. The findings revealed by this work are of inestimable value since this is the first study conducted with samples collected many years before the disease development.
url https://doi.org/10.1038/s41531-021-00216-4
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