Potential Tear Biomarkers for the Diagnosis of Parkinson’s Disease—A Pilot Study
dc.contributor.author | Acera Osa, Arantxa | |
dc.contributor.author | Gómez Esteban, Juan Carlos | |
dc.contributor.author | Murueta-Goyena Larrañaga, Ane | |
dc.contributor.author | Galdós Iztueta, Marta | |
dc.contributor.author | Azkargorta, Mikel | |
dc.contributor.author | Elortza, Felix | |
dc.contributor.author | Ruzafa Andrés, Noelia | |
dc.contributor.author | Ibarrondo, Oliver | |
dc.contributor.author | Pereiro Díez, Xandra | |
dc.contributor.author | Vecino Cordero, Elena | |
dc.date.accessioned | 2022-03-28T12:21:22Z | |
dc.date.available | 2022-03-28T12:21:22Z | |
dc.date.issued | 2022-01-13 | |
dc.identifier.citation | Proteomes 10(1) : (2022) // Article ID 4 | es_ES |
dc.identifier.issn | 2227-7382 | |
dc.identifier.uri | http://hdl.handle.net/10810/56106 | |
dc.description.abstract | Parkinson’s disease (PD) is the second most common neurodegenerative disease after Alzheimer’s disease. In this study, the tear proteome profile of patients with idiopathic PD (iPD, n = 24), carriers of the E46K-SNCA mutation (n = 3) and healthy control (CT, n = 27) subjects was analyzed to identify candidate biomarkers for the diagnosis of PD. An observational, prospective and case-control pilot study was carried out, analyzing the participants tear samples by nano-liquid chromatography–mass spectrometry (nLC–MS/MS) and assessing their neurological impairment. The proteomic data obtained are available at ProteomeXchange with identifier 10.6019/PXD028811. These analyses led to the identification of 560 tear proteins, some of which were deregulated in PD patients and that have been implicated in immune responses, inflammation, apoptosis, collagen degradation, protein synthesis, defense, lipid transport and altered lysosomal function. Of these proteins, six were related to neurodegenerative processes and showed a good capacity to classify patients and controls. These findings revealed that certain proteins were upregulated in the tears of PD patients, mainly proteins involved in lysosomal function. Thus, in this study, tear proteins were identified that are implicated in neurodegeneration and that may be related to an aggressive disease phenotype in PD patients. | es_ES |
dc.description.sponsorship | This work was supported by MINECO-Retos Fondos Fender (RTC-2016-48231), Gobierno Vasco (PUE_2018_1_0004), ELKARTEK (KK-2019/00086), PIBA 2020-1-0026, MINECO-Retos (PID2019-111139RB-I00) and ELKARTEK (KK-2021/00023). | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/PID2019-111139RB-I00 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/RTC-2016-48231 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | |
dc.subject | biomarkers | es_ES |
dc.subject | Parkinson’s disease | es_ES |
dc.subject | tear film | es_ES |
dc.subject | lysosome | es_ES |
dc.title | Potential Tear Biomarkers for the Diagnosis of Parkinson’s Disease—A Pilot Study | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.date.updated | 2022-03-24T14:46:50Z | |
dc.rights.holder | 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | es_ES |
dc.relation.publisherversion | https://www.mdpi.com/2227-7382/10/1/4/htm | es_ES |
dc.identifier.doi | 10.3390/proteomes10010004 | |
dc.departamentoes | Biología celular e histología | |
dc.departamentoes | Neurociencias | |
dc.departamentoeu | Zelulen biologia eta histologia | |
dc.departamentoeu | Neurozientziak |
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Except where otherwise noted, this item's license is described as 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).