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Healthy Aging Metabolomic and Proteomic Signatures Across Multiple Physiological Compartments
R Moaddel1, J Candia1, C Ubaida-Mohien1
1Biomedical Research Centre, National Institute on Aging, NIH, Baltimore, Maryland, USA.
Aging Cell
|February 14, 2025
Summary
This study developed biological aging scores using proteomic and metabolomic data from plasma and urine. These scores predict chronological age and reveal accelerated or decelerated aging, offering insights into healthy aging processes.
Area of Science:
- Gerontology and Aging Research
- Biomarker Discovery
- Proteomics and Metabolomics
Background:
- Aging research traditionally focused on single biological compartments, neglecting the whole-body nature of aging.
- Simultaneous analysis of metabolites and proteins across multiple biological samples offers a more comprehensive view of aging.
Purpose of the Study:
- To develop predictors of chronological age using proteomic and metabolomic data from plasma and urine.
- To define a biological aging score reflecting an individual's deviation from expected aging.
- To assess the relationship between biological aging scores and clinical aging phenotypes.
Main Methods:
- Proteomic analysis of plasma and urine samples from healthy individuals aged 22-92 years.
- Development of metabolomic and proteomic predictors for chronological age.
- Calculation of a biological aging score based on predicted versus expected age.
Main Results:
- Predictors of chronological age were developed for plasma, urine, and skeletal muscle.
- Biological aging scores were significantly related to clinical phenotypes like inflammation, anemia, muscle mass, and organ function.
- Different compartment-specific scores consistently identified individuals with accelerated or decelerated biological aging.
Conclusions:
- Multi-compartment proteomic and metabolomic analyses provide a detailed picture of healthy aging.
- Biological aging scores derived from these analyses are robust indicators of aging trajectories.
- This approach enables the identification of individuals with significantly altered biological aging rates.
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