Comparative Metabolomics Analysis Reveals Key Metabolic Mechanisms and Protein Biomarkers in Alzheimer’s Disease

代谢组学 疾病 代谢物 计算生物学 生物 代谢途径 机制(生物学) 生物信息学 蛋白质组学 医学 病理 新陈代谢 生物化学 哲学 认识论 基因
作者
Zhao Dai,Hu Tian,Shijie Su,Jinman Liu,Yinzhong Ma,Yue Zhuo,Shuhuan Fang,Qi Wang,Zhizhun Mo,Huafeng Pan,Jiansong Fang
出处
期刊:Frontiers in Pharmacology [Frontiers Media]
卷期号:13 被引量:11
标识
DOI:10.3389/fphar.2022.904857
摘要

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.
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