Metabolomics of Aging and Alzheimer's Disease: From Single-Omics to Multi-Omics
Yiming Li, Yuan Luo

TL;DR
This review discusses how metabolomics and multi-omics approaches reveal metabolic changes associated with aging and Alzheimer's disease, highlighting their potential for diagnostics and therapeutics.
Contribution
It provides a comprehensive summary of metabolomic alterations in aging and AD and reviews recent multi-omics advances for understanding their metabolic mechanisms.
Findings
Metabolic dysfunction is linked to aging and AD.
Metabolomics can identify potential biomarkers for diagnosis.
Multi-omics approaches enhance understanding of disease mechanisms.
Abstract
Aging is a multifactorial process and a key factor of morbidity and mortality. Alzheimer's disease (AD) is an age-related disorder and a main cause of worldwide disability. Both aging and AD can be characterized by metabolic dysfunction. Metabolomics can quantify the complete set of metabolites in a studied sample and is helpful for studying metabolic alterations in aging and AD. In this review, we summarize the metabolomic changes regarding aging and AD, discuss their biological functions, and highlight their potential application as diagnostic biomarkers or therapeutic targets. Recent advances in multi-omics approaches for understanding the metabolic mechanism of aging and AD are also reviewed.
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Taxonomy
TopicsMetabolomics and Mass Spectrometry Studies · Bioinformatics and Genomic Networks · Microbial Metabolic Engineering and Bioproduction
