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Quantitative profiling brain proteomes revealed mitochondrial dysfunction in Alzheimer’s disease
Mitochondrial dysfunction is a key feature in both aging and neurodegenerative diseases including Alzheimer’s disease (AD), but the molecular signature that distinguishes pathological changes in the AD from healthy aging in the brain mitochondria remain poorly understood. In order to unveil AD speci...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6350377/ https://www.ncbi.nlm.nih.gov/pubmed/30691479 http://dx.doi.org/10.1186/s13041-019-0430-y |
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author | Adav, Sunil S Park, Jung Eun Sze, Siu Kwan |
author_facet | Adav, Sunil S Park, Jung Eun Sze, Siu Kwan |
author_sort | Adav, Sunil S |
collection | PubMed |
description | Mitochondrial dysfunction is a key feature in both aging and neurodegenerative diseases including Alzheimer’s disease (AD), but the molecular signature that distinguishes pathological changes in the AD from healthy aging in the brain mitochondria remain poorly understood. In order to unveil AD specific mitochondrial dysfunctions, this study adopted a discovery-driven approach with isobaric tag for relative and absolute quantitation (iTRAQ) and label-free quantitative proteomics, and profiled the mitochondrial proteomes in human brain tissues of healthy and AD individuals. LC-MS/MS-based iTRAQ quantitative proteomics approach revealed differentially altered mitochondriomes that distinguished the AD’s pathophysiology-induced from aging-associated changes. Our results showed that dysregulated mitochondrial complexes including electron transport chain (ETC) and ATP-synthase are the potential driver for pathology of the AD. The iTRAQ results were cross-validated with independent label-free quantitative proteomics experiments to confirm that the subunit of electron transport chain complex I, particularly NDUFA4 and NDUFA9 were altered in AD patients, suggesting destabilization of the junction between membrane and matrix arms of mitochondrial complex I impacted the mitochondrial functions in the AD. iTRAQ quantitative proteomics of brain mitochondriomes revealed disparity in healthy aging and age-dependent AD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13041-019-0430-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6350377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63503772019-02-04 Quantitative profiling brain proteomes revealed mitochondrial dysfunction in Alzheimer’s disease Adav, Sunil S Park, Jung Eun Sze, Siu Kwan Mol Brain Research Mitochondrial dysfunction is a key feature in both aging and neurodegenerative diseases including Alzheimer’s disease (AD), but the molecular signature that distinguishes pathological changes in the AD from healthy aging in the brain mitochondria remain poorly understood. In order to unveil AD specific mitochondrial dysfunctions, this study adopted a discovery-driven approach with isobaric tag for relative and absolute quantitation (iTRAQ) and label-free quantitative proteomics, and profiled the mitochondrial proteomes in human brain tissues of healthy and AD individuals. LC-MS/MS-based iTRAQ quantitative proteomics approach revealed differentially altered mitochondriomes that distinguished the AD’s pathophysiology-induced from aging-associated changes. Our results showed that dysregulated mitochondrial complexes including electron transport chain (ETC) and ATP-synthase are the potential driver for pathology of the AD. The iTRAQ results were cross-validated with independent label-free quantitative proteomics experiments to confirm that the subunit of electron transport chain complex I, particularly NDUFA4 and NDUFA9 were altered in AD patients, suggesting destabilization of the junction between membrane and matrix arms of mitochondrial complex I impacted the mitochondrial functions in the AD. iTRAQ quantitative proteomics of brain mitochondriomes revealed disparity in healthy aging and age-dependent AD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13041-019-0430-y) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-28 /pmc/articles/PMC6350377/ /pubmed/30691479 http://dx.doi.org/10.1186/s13041-019-0430-y Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Adav, Sunil S Park, Jung Eun Sze, Siu Kwan Quantitative profiling brain proteomes revealed mitochondrial dysfunction in Alzheimer’s disease |
title | Quantitative profiling brain proteomes revealed mitochondrial dysfunction in Alzheimer’s disease |
title_full | Quantitative profiling brain proteomes revealed mitochondrial dysfunction in Alzheimer’s disease |
title_fullStr | Quantitative profiling brain proteomes revealed mitochondrial dysfunction in Alzheimer’s disease |
title_full_unstemmed | Quantitative profiling brain proteomes revealed mitochondrial dysfunction in Alzheimer’s disease |
title_short | Quantitative profiling brain proteomes revealed mitochondrial dysfunction in Alzheimer’s disease |
title_sort | quantitative profiling brain proteomes revealed mitochondrial dysfunction in alzheimer’s disease |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6350377/ https://www.ncbi.nlm.nih.gov/pubmed/30691479 http://dx.doi.org/10.1186/s13041-019-0430-y |
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