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Comparative Metabolomics Analysis Reveals Key Metabolic Mechanisms and Protein Biomarkers in Alzheimer’s Disease
Alzheimer’s disease (AD) is one of the most common progressive neurodegenerative diseases, accompanied by global alterations in metabolic profiles. In the past 10 years, over hundreds of metabolomics studies have been conducted to unravel metabolic changes in AD, which provides insight into the iden...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9174950/ https://www.ncbi.nlm.nih.gov/pubmed/35694256 http://dx.doi.org/10.3389/fphar.2022.904857 |
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author | Dai, Zhao Hu, Tian Su, Shijie Liu, Jinman Ma, Yinzhong Zhuo, Yue Fang, Shuhuan Wang, Qi Mo, Zhizhun Pan, Huafeng Fang, Jiansong |
author_facet | Dai, Zhao Hu, Tian Su, Shijie Liu, Jinman Ma, Yinzhong Zhuo, Yue Fang, Shuhuan Wang, Qi Mo, Zhizhun Pan, Huafeng Fang, Jiansong |
author_sort | Dai, Zhao |
collection | PubMed |
description | Alzheimer’s disease (AD) is one of the most common progressive neurodegenerative diseases, accompanied by global alterations in metabolic profiles. In the past 10 years, over hundreds of metabolomics studies have been conducted to unravel metabolic changes in AD, which provides insight into the identification of potential biomarkers for diagnosis, treatment, and prognostic assessment. However, since different species may lead to systemic abnormalities in metabolomic profiles, it is urgently needed to perform a comparative metabolomics analysis between AD animal models and human patients. In this study, we integrated 78 metabolic profiles from public literatures, including 11 metabolomics studies in different AD mouse models and 67 metabolomics studies from AD patients. Metabolites and enrichment analysis were further conducted to reveal key metabolic pathways and metabolites in AD. We totally identified 14 key metabolites and 16 pathways that are both differentially significant in AD mouse models and patients. Moreover, we built a metabolite-target network to predict potential protein markers in AD. Finally, we validated HER2 and NDF2 as key protein markers in APP/PS1 mice. Overall, this study provides a comprehensive strategy for AD metabolomics research, contributing to understanding the pathological mechanism of AD. |
format | Online Article Text |
id | pubmed-9174950 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91749502022-06-09 Comparative Metabolomics Analysis Reveals Key Metabolic Mechanisms and Protein Biomarkers in Alzheimer’s Disease Dai, Zhao Hu, Tian Su, Shijie Liu, Jinman Ma, Yinzhong Zhuo, Yue Fang, Shuhuan Wang, Qi Mo, Zhizhun Pan, Huafeng Fang, Jiansong Front Pharmacol Pharmacology Alzheimer’s disease (AD) is one of the most common progressive neurodegenerative diseases, accompanied by global alterations in metabolic profiles. In the past 10 years, over hundreds of metabolomics studies have been conducted to unravel metabolic changes in AD, which provides insight into the identification of potential biomarkers for diagnosis, treatment, and prognostic assessment. However, since different species may lead to systemic abnormalities in metabolomic profiles, it is urgently needed to perform a comparative metabolomics analysis between AD animal models and human patients. In this study, we integrated 78 metabolic profiles from public literatures, including 11 metabolomics studies in different AD mouse models and 67 metabolomics studies from AD patients. Metabolites and enrichment analysis were further conducted to reveal key metabolic pathways and metabolites in AD. We totally identified 14 key metabolites and 16 pathways that are both differentially significant in AD mouse models and patients. Moreover, we built a metabolite-target network to predict potential protein markers in AD. Finally, we validated HER2 and NDF2 as key protein markers in APP/PS1 mice. Overall, this study provides a comprehensive strategy for AD metabolomics research, contributing to understanding the pathological mechanism of AD. Frontiers Media S.A. 2022-05-25 /pmc/articles/PMC9174950/ /pubmed/35694256 http://dx.doi.org/10.3389/fphar.2022.904857 Text en Copyright © 2022 Dai, Hu, Su, Liu, Ma, Zhuo, Fang, Wang, Mo, Pan and Fang. 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 | Pharmacology Dai, Zhao Hu, Tian Su, Shijie Liu, Jinman Ma, Yinzhong Zhuo, Yue Fang, Shuhuan Wang, Qi Mo, Zhizhun Pan, Huafeng Fang, Jiansong Comparative Metabolomics Analysis Reveals Key Metabolic Mechanisms and Protein Biomarkers in Alzheimer’s Disease |
title | Comparative Metabolomics Analysis Reveals Key Metabolic Mechanisms and Protein Biomarkers in Alzheimer’s Disease |
title_full | Comparative Metabolomics Analysis Reveals Key Metabolic Mechanisms and Protein Biomarkers in Alzheimer’s Disease |
title_fullStr | Comparative Metabolomics Analysis Reveals Key Metabolic Mechanisms and Protein Biomarkers in Alzheimer’s Disease |
title_full_unstemmed | Comparative Metabolomics Analysis Reveals Key Metabolic Mechanisms and Protein Biomarkers in Alzheimer’s Disease |
title_short | Comparative Metabolomics Analysis Reveals Key Metabolic Mechanisms and Protein Biomarkers in Alzheimer’s Disease |
title_sort | comparative metabolomics analysis reveals key metabolic mechanisms and protein biomarkers in alzheimer’s disease |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9174950/ https://www.ncbi.nlm.nih.gov/pubmed/35694256 http://dx.doi.org/10.3389/fphar.2022.904857 |
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