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Proteomics Landscape of Alzheimer’s Disease
Alzheimer’s disease (AD) is the most prevalent form of dementia, and the numbers of AD patients are expected to increase as human life expectancy improves. Deposition of β-amyloid protein (Aβ) in the extracellular matrix and intracellular neurofibrillary tangles are molecular hallmarks of the diseas...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8005944/ https://www.ncbi.nlm.nih.gov/pubmed/33801961 http://dx.doi.org/10.3390/proteomes9010013 |
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author | Jain, Ankit P. Sathe, Gajanan |
author_facet | Jain, Ankit P. Sathe, Gajanan |
author_sort | Jain, Ankit P. |
collection | PubMed |
description | Alzheimer’s disease (AD) is the most prevalent form of dementia, and the numbers of AD patients are expected to increase as human life expectancy improves. Deposition of β-amyloid protein (Aβ) in the extracellular matrix and intracellular neurofibrillary tangles are molecular hallmarks of the disease. Since the precise pathophysiology of AD has not been elucidated yet, effective treatment is not available. Thus, understanding the disease pathology, as well as identification and development of valid biomarkers, is imperative for early diagnosis as well as for monitoring disease progression and therapeutic responses. Keeping this goal in mind several studies using quantitative proteomics platform have been carried out on both clinical specimens including the brain, cerebrospinal fluid (CSF), plasma and on animal models of AD. In this review, we summarize the mass spectrometry (MS)-based proteomics studies on AD and discuss the discovery as well as validation stages in brief to identify candidate biomarkers. |
format | Online Article Text |
id | pubmed-8005944 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80059442021-03-30 Proteomics Landscape of Alzheimer’s Disease Jain, Ankit P. Sathe, Gajanan Proteomes Review Alzheimer’s disease (AD) is the most prevalent form of dementia, and the numbers of AD patients are expected to increase as human life expectancy improves. Deposition of β-amyloid protein (Aβ) in the extracellular matrix and intracellular neurofibrillary tangles are molecular hallmarks of the disease. Since the precise pathophysiology of AD has not been elucidated yet, effective treatment is not available. Thus, understanding the disease pathology, as well as identification and development of valid biomarkers, is imperative for early diagnosis as well as for monitoring disease progression and therapeutic responses. Keeping this goal in mind several studies using quantitative proteomics platform have been carried out on both clinical specimens including the brain, cerebrospinal fluid (CSF), plasma and on animal models of AD. In this review, we summarize the mass spectrometry (MS)-based proteomics studies on AD and discuss the discovery as well as validation stages in brief to identify candidate biomarkers. MDPI 2021-03-10 /pmc/articles/PMC8005944/ /pubmed/33801961 http://dx.doi.org/10.3390/proteomes9010013 Text en © 2021 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Jain, Ankit P. Sathe, Gajanan Proteomics Landscape of Alzheimer’s Disease |
title | Proteomics Landscape of Alzheimer’s Disease |
title_full | Proteomics Landscape of Alzheimer’s Disease |
title_fullStr | Proteomics Landscape of Alzheimer’s Disease |
title_full_unstemmed | Proteomics Landscape of Alzheimer’s Disease |
title_short | Proteomics Landscape of Alzheimer’s Disease |
title_sort | proteomics landscape of alzheimer’s disease |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8005944/ https://www.ncbi.nlm.nih.gov/pubmed/33801961 http://dx.doi.org/10.3390/proteomes9010013 |
work_keys_str_mv | AT jainankitp proteomicslandscapeofalzheimersdisease AT sathegajanan proteomicslandscapeofalzheimersdisease |