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Lipidomics and proteomics: An integrative approach for early diagnosis of dementia and Alzheimer’s disease

Alzheimer’s disease (AD) is the most common neurodegenerative disorder and considered to be responsible for majority of worldwide prevalent dementia cases. The number of patients suffering from dementia are estimated to increase up to 115.4 million cases worldwide in 2050. Hence, AD is contemplated...

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Autores principales: Tiwari, Virendra, Shukla, Shubha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9946989/
https://www.ncbi.nlm.nih.gov/pubmed/36845373
http://dx.doi.org/10.3389/fgene.2023.1057068
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author Tiwari, Virendra
Shukla, Shubha
author_facet Tiwari, Virendra
Shukla, Shubha
author_sort Tiwari, Virendra
collection PubMed
description Alzheimer’s disease (AD) is the most common neurodegenerative disorder and considered to be responsible for majority of worldwide prevalent dementia cases. The number of patients suffering from dementia are estimated to increase up to 115.4 million cases worldwide in 2050. Hence, AD is contemplated to be one of the major healthcare challenge in current era. This disorder is characterized by impairment in various signaling molecules at cellular and nuclear level including aggregation of Aβ protein, tau hyper phosphorylation altered lipid metabolism, metabolites dysregulation, protein intensity alteration etc. Being heterogeneous and multifactorial in nature, the disease do not has any cure or any confirmed diagnosis before the onset of clinical manifestations. Hence, there is a requisite for early diagnosis of AD in order to downturn the progression/risk of the disorder and utilization of newer technologies developed in this field are aimed to provide an extraordinary assistance towards the same. The lipidomics and proteomics constitute large scale study of cellular lipids and proteomes in biological matrices at normal stage or any stage of a disease. The study involves high throughput quantification and detection techniques such as mass spectrometry, liquid chromatography, nuclear mass resonance spectroscopy, fluorescence spectroscopy etc. The early detection of altered levels of lipids and proteins in blood or any other biological matrices could aid in preventing the progression of AD and dementia. Therefore, the present review is designed to focus on the recent techniques and early diagnostic criteria for AD, revealing the role of lipids and proteins in this disease and their assessment through different techniques.
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spelling pubmed-99469892023-02-24 Lipidomics and proteomics: An integrative approach for early diagnosis of dementia and Alzheimer’s disease Tiwari, Virendra Shukla, Shubha Front Genet Genetics Alzheimer’s disease (AD) is the most common neurodegenerative disorder and considered to be responsible for majority of worldwide prevalent dementia cases. The number of patients suffering from dementia are estimated to increase up to 115.4 million cases worldwide in 2050. Hence, AD is contemplated to be one of the major healthcare challenge in current era. This disorder is characterized by impairment in various signaling molecules at cellular and nuclear level including aggregation of Aβ protein, tau hyper phosphorylation altered lipid metabolism, metabolites dysregulation, protein intensity alteration etc. Being heterogeneous and multifactorial in nature, the disease do not has any cure or any confirmed diagnosis before the onset of clinical manifestations. Hence, there is a requisite for early diagnosis of AD in order to downturn the progression/risk of the disorder and utilization of newer technologies developed in this field are aimed to provide an extraordinary assistance towards the same. The lipidomics and proteomics constitute large scale study of cellular lipids and proteomes in biological matrices at normal stage or any stage of a disease. The study involves high throughput quantification and detection techniques such as mass spectrometry, liquid chromatography, nuclear mass resonance spectroscopy, fluorescence spectroscopy etc. The early detection of altered levels of lipids and proteins in blood or any other biological matrices could aid in preventing the progression of AD and dementia. Therefore, the present review is designed to focus on the recent techniques and early diagnostic criteria for AD, revealing the role of lipids and proteins in this disease and their assessment through different techniques. Frontiers Media S.A. 2023-02-09 /pmc/articles/PMC9946989/ /pubmed/36845373 http://dx.doi.org/10.3389/fgene.2023.1057068 Text en Copyright © 2023 Tiwari and Shukla. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Tiwari, Virendra
Shukla, Shubha
Lipidomics and proteomics: An integrative approach for early diagnosis of dementia and Alzheimer’s disease
title Lipidomics and proteomics: An integrative approach for early diagnosis of dementia and Alzheimer’s disease
title_full Lipidomics and proteomics: An integrative approach for early diagnosis of dementia and Alzheimer’s disease
title_fullStr Lipidomics and proteomics: An integrative approach for early diagnosis of dementia and Alzheimer’s disease
title_full_unstemmed Lipidomics and proteomics: An integrative approach for early diagnosis of dementia and Alzheimer’s disease
title_short Lipidomics and proteomics: An integrative approach for early diagnosis of dementia and Alzheimer’s disease
title_sort lipidomics and proteomics: an integrative approach for early diagnosis of dementia and alzheimer’s disease
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9946989/
https://www.ncbi.nlm.nih.gov/pubmed/36845373
http://dx.doi.org/10.3389/fgene.2023.1057068
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