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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Neurology. Diseases of the nervous system RC346-429
Acceso en línea:	https://doaj.org/article/d72697d939a14d919cf764748d1b221b
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:d72697d939a14d919cf764748d1b221b
record_format	dspace
spelling	oai:doaj.org-article:d72697d939a14d919cf764748d1b221b2021-12-02T18:51:47ZPrognostic biomarkers of Parkinson’s disease in the Spanish EPIC cohort: a multiplatform metabolomics approach10.1038/s41531-021-00216-42373-8057https://doaj.org/article/d72697d939a14d919cf764748d1b221b2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41531-021-00216-4https://doaj.org/toc/2373-8057Abstract 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.Carolina Gonzalez-RianoJorge SaizCoral BarbasAlberto BergarecheJosé Mª HuertaEva ArdanazMarcela KonjevodElisabet MondragonM. E. ErroM. Dolores ChirlaqueEunate AbilleiraFernando Goñi-IrigoyenPilar AmianoNature PortfolioarticleNeurology. Diseases of the nervous systemRC346-429ENnpj Parkinson's Disease, Vol 7, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Neurology. Diseases of the nervous system RC346-429
spellingShingle	Neurology. Diseases of the nervous system RC346-429 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
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.
format	article
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
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 Portfolio
publishDate	2021
url	https://doaj.org/article/d72697d939a14d919cf764748d1b221b
work_keys_str_mv	AT carolinagonzalezriano prognosticbiomarkersofparkinsonsdiseaseinthespanishepiccohortamultiplatformmetabolomicsapproach AT jorgesaiz prognosticbiomarkersofparkinsonsdiseaseinthespanishepiccohortamultiplatformmetabolomicsapproach AT coralbarbas prognosticbiomarkersofparkinsonsdiseaseinthespanishepiccohortamultiplatformmetabolomicsapproach AT albertobergareche prognosticbiomarkersofparkinsonsdiseaseinthespanishepiccohortamultiplatformmetabolomicsapproach AT josemahuerta prognosticbiomarkersofparkinsonsdiseaseinthespanishepiccohortamultiplatformmetabolomicsapproach AT evaardanaz prognosticbiomarkersofparkinsonsdiseaseinthespanishepiccohortamultiplatformmetabolomicsapproach AT marcelakonjevod prognosticbiomarkersofparkinsonsdiseaseinthespanishepiccohortamultiplatformmetabolomicsapproach AT elisabetmondragon prognosticbiomarkersofparkinsonsdiseaseinthespanishepiccohortamultiplatformmetabolomicsapproach AT meerro prognosticbiomarkersofparkinsonsdiseaseinthespanishepiccohortamultiplatformmetabolomicsapproach AT mdoloreschirlaque prognosticbiomarkersofparkinsonsdiseaseinthespanishepiccohortamultiplatformmetabolomicsapproach AT eunateabilleira prognosticbiomarkersofparkinsonsdiseaseinthespanishepiccohortamultiplatformmetabolomicsapproach AT fernandogoniirigoyen prognosticbiomarkersofparkinsonsdiseaseinthespanishepiccohortamultiplatformmetabolomicsapproach AT pilaramiano prognosticbiomarkersofparkinsonsdiseaseinthespanishepiccohortamultiplatformmetabolomicsapproach
_version_	1718377415881785344

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

Ejemplares similares