[Metabolome profiling in the study of aging processes].

Area of Science:

• Gerontology
• Metabolomics
• Systems Biology

Context:

• Systemic metabolic changes are intrinsically linked to organismal aging.
• The intricate, multi-level network of metabolic pathways presents challenges in understanding aging-related metabolic alterations.
• Metabolomics, specifically untargeted metabolome profiling, has emerged as a key approach to address these complexities.

Purpose:

• To systematically review and synthesize findings from untargeted metabolome profiling studies on aging.
• To consolidate knowledge gained from both animal models and human studies in the field of aging metabolomics.

Summary:

• Untargeted metabolome profiling enables comprehensive analysis of metabolic profiles.
• This approach has been applied to diverse animal models and human cohorts to investigate age-related metabolic dysregulation.
• Key metabolic pathways and biomarkers associated with aging have been identified across species.

Impact:

• Provides a structured overview of the current state of aging metabolomics research.
• Highlights the utility of untargeted metabolome profiling in deciphering complex aging mechanisms.
• Facilitates future research directions in understanding and potentially intervening in the aging process through metabolic targets.