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Proteomic aging clocks in epidemiological studies: advances, applications and prospects
Han Xiao1, Chung-Ho E Lau1, Abbas Dehghan1,2,3
1Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Biological age, measured by proteomic aging clocks, offers a better healthspan predictor than chronological age. These clocks, using protein data from blood, show promise for personalized medicine but require standardization for wider use.
Area of Science:
- Biochemistry and Molecular Biology
- Gerontology
- Biomarker Discovery
Background:
- Chronological age is a limited metric for physiological function and life expectancy.
- Proteomic aging clocks, utilizing high-dimensional proteomic data, quantify biological age.
- Proteins are crucial biologically and have clinical utility as druggable targets and prognostic biomarkers.
Purpose of the Study:
- To review current proteomic clocks for assessing biological age using human blood samples.
- To highlight the potential clinical applications of proteomic clocks as aging biomarkers.
- To discuss challenges and prospects for implementing proteomic clocks in preventive medicine.
Main Methods:
- Review of existing literature on proteomic aging clocks.
- Analysis of different proteomic assay platforms and their data.
- Examination of study populations and modeling strategies used in clock development.
Main Results:
- Proteomic clocks show promise for quantifying biological age and predicting healthspan.
- Current proteomic clocks utilize diverse platforms, populations, and modeling strategies.
- Variability in methods may limit the generalizability and translational utility of existing clocks.
Conclusions:
- Proteomic clocks are advancing rapidly as a tool to assess biological age.
- Standardization of platforms and methodologies is needed for broader clinical application.
- Implementing proteomic clocks can advance proactive, preventive medicine and extend healthspan.
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