Metabolomic-based aging clocks

Area of Science:

• Biomarkers and Healthspan Research
• Metabolomics and Aging Science

Background:

• Molecular aging clocks estimate biological age, outperforming chronological age in health outcome prediction.
• Epigenetic, transcriptomic, proteomic, and metabolomic clocks are key types.
• NMR-based metabolomic clocks offer non-invasive, high-throughput metabolic health assessment.

Purpose of the Study:

• To summarize existing NMR-based metabolomic aging clock models.
• To introduce a novel NMR-based approach for aging clock development.
• To improve predictive accuracy and clinical interpretability of biological age estimation.

Main Methods:

• Review and synthesis of current NMR-based metabolomic clock literature.
• Development of a new computational model integrating metabolomic data.
• Validation of the model for predicting accelerated aging and disease risk.

Main Results:

• Identified key NMR-based metabolomic signatures associated with biological aging.
• The new approach demonstrates high predictive accuracy for biological age.
• The model successfully identifies disease-specific metabolic distortions.

Conclusions:

• NMR-based metabolomic clocks are valuable tools for assessing metabolic health and biological age.
• The presented approach enhances the clinical utility of aging clocks.
• This method supports risk stratification and early detection of accelerated aging.