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Decoding metabolic signatures in Alzheimer’s disease: a mitochondrial perspective
Alzheimer’s disease (AD) is one of the most prevalent age-related neurodegenerative diseases and accounts for the majority of dementia cases worldwide. Tremendous ongoing efforts of basic and clinical research have expanded our knowledge on AD and its complex multifactorial pathogenesis. For sporadi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10692234/ https://www.ncbi.nlm.nih.gov/pubmed/38040687 http://dx.doi.org/10.1038/s41420-023-01732-3 |
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author | Bano, Daniele Ehninger, Dan Bagetta, Giacinto |
author_facet | Bano, Daniele Ehninger, Dan Bagetta, Giacinto |
author_sort | Bano, Daniele |
collection | PubMed |
description | Alzheimer’s disease (AD) is one of the most prevalent age-related neurodegenerative diseases and accounts for the majority of dementia cases worldwide. Tremendous ongoing efforts of basic and clinical research have expanded our knowledge on AD and its complex multifactorial pathogenesis. For sporadic AD, it is widely assumed that silent and early symptomatic stages initiate decades before the irreversible decline in cognitive abilities that ultimately lead to debilitating conditions. In addition to amyloid plaques and tau-containing neurofibrillary tangles as the most prominent hallmarks of AD lesions within the affected brain areas, we now possess a broader collection of pathological signatures that are associated with AD development and progression. In this regard, there is a substantial body of evidence suggesting that hypometabolism occurs in the brains of individuals at the prodromal stage before dementia is diagnosed, which may reflect an early role of metabolic dysfunction in AD. This perspective surveys the vast literature and critically assesses the current evidence demonstrating a mitochondrial contribution to AD. Additionally, we discuss our interpretations of the reported mitochondrial signatures and consider how altered mitochondrial bioenergetics may be an additional risk factor for AD pathogenesis. |
format | Online Article Text |
id | pubmed-10692234 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106922342023-12-03 Decoding metabolic signatures in Alzheimer’s disease: a mitochondrial perspective Bano, Daniele Ehninger, Dan Bagetta, Giacinto Cell Death Discov Perspective Alzheimer’s disease (AD) is one of the most prevalent age-related neurodegenerative diseases and accounts for the majority of dementia cases worldwide. Tremendous ongoing efforts of basic and clinical research have expanded our knowledge on AD and its complex multifactorial pathogenesis. For sporadic AD, it is widely assumed that silent and early symptomatic stages initiate decades before the irreversible decline in cognitive abilities that ultimately lead to debilitating conditions. In addition to amyloid plaques and tau-containing neurofibrillary tangles as the most prominent hallmarks of AD lesions within the affected brain areas, we now possess a broader collection of pathological signatures that are associated with AD development and progression. In this regard, there is a substantial body of evidence suggesting that hypometabolism occurs in the brains of individuals at the prodromal stage before dementia is diagnosed, which may reflect an early role of metabolic dysfunction in AD. This perspective surveys the vast literature and critically assesses the current evidence demonstrating a mitochondrial contribution to AD. Additionally, we discuss our interpretations of the reported mitochondrial signatures and consider how altered mitochondrial bioenergetics may be an additional risk factor for AD pathogenesis. Nature Publishing Group UK 2023-12-01 /pmc/articles/PMC10692234/ /pubmed/38040687 http://dx.doi.org/10.1038/s41420-023-01732-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Perspective Bano, Daniele Ehninger, Dan Bagetta, Giacinto Decoding metabolic signatures in Alzheimer’s disease: a mitochondrial perspective |
title | Decoding metabolic signatures in Alzheimer’s disease: a mitochondrial perspective |
title_full | Decoding metabolic signatures in Alzheimer’s disease: a mitochondrial perspective |
title_fullStr | Decoding metabolic signatures in Alzheimer’s disease: a mitochondrial perspective |
title_full_unstemmed | Decoding metabolic signatures in Alzheimer’s disease: a mitochondrial perspective |
title_short | Decoding metabolic signatures in Alzheimer’s disease: a mitochondrial perspective |
title_sort | decoding metabolic signatures in alzheimer’s disease: a mitochondrial perspective |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10692234/ https://www.ncbi.nlm.nih.gov/pubmed/38040687 http://dx.doi.org/10.1038/s41420-023-01732-3 |
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