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Metabolome Profiling in Aging Studies.

Elena E Balashova¹, Dmitry L Maslov¹, Oxana P Trifonova¹

¹Institute of Biomedical Chemistry, Pogodinskaya St. 10, 119121 Moscow, Russia.

|November 11, 2022

Summary

Aging involves systemic metabolic shifts. Untargeted metabolomics reveals age-related changes in carbohydrates, amino acids, lipids, and energy metabolism, aiding biological age monitoring and disease prediction.

Keywords:

aging animal models human metabolome profiling

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Area of Science:

Metabolomics
Gerontology
Biochemistry

Background:

Organism aging is linked to systemic metabolic alterations.
Metabolic pathways' complexity hinders understanding of aging-related changes.
Untargeted metabolome profiling is a key metabolomics approach.

Purpose of the Study:

To review metabolomic studies using untargeted profiling in animal models and humans.
To identify age-varying metabolites and associated metabolic pathways.
To explore the utility of metabolomic data for biological age monitoring and disease prediction.

Main Methods:

Review of existing metabolomic studies.
Analysis of untargeted metabolome profiling data.
Identification of significantly altered metabolites and pathways across age groups.

Main Results:

Significant age-related variations observed in carbohydrates, amino acids, carnitines, biogenic amines, and lipids.
Metabolic pathways implicated in aging include amino acid, lipid, and energy metabolism.
Data highlight the role of specific metabolites in the aging process.

Conclusions:

Metabolomics, particularly untargeted profiling, provides insights into aging mechanisms.
Identified metabolic signatures can serve as biomarkers for biological age.
This approach may facilitate early prediction of age-related diseases.