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Biomarkers of aging.
, Hainan Bao1, Jiani Cao2
1CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
Aging biomarkers assess biological age and aging processes. This review covers cellular to organismal biomarkers, proposing they must be specific, systemic, and clinically relevant for aging research.
Area of Science:
- Gerontology and Regenerative Medicine
- Biomarker Discovery and Validation
Background:
- Aging is a complex process characterized by accumulating physiological changes.
- Existing aging biomarkers have varying degrees of characterization regarding their utility and limitations.
- Understanding aging at cellular, organ, and organismal levels is crucial for healthspan research.
Purpose of the Study:
- To review and synthesize current knowledge on aging biomarkers across different biological levels.
- To address fundamental questions in aging research: current age, aging mechanisms, and interventions for slower aging.
- To propose criteria for effective aging biomarkers: specificity, systemicity, and clinical relevance.
Main Methods:
- Comprehensive literature review of aging biomarkers.
- Categorization of biomarkers based on biological levels: cellular, organ, and organismal.
- Analysis of six key biomarker categories: physiological, imaging, histological, cellular, molecular, and secretory.
Main Results:
- A broad spectrum of aging biomarkers exists, targeting various aspects of the aging process.
- Biomarkers span multiple biological scales, from molecular alterations to organ-level changes.
- Current understanding of biomarker utility and limitations requires further characterization.
Conclusions:
- Aging biomarkers are essential tools for assessing age-related changes and predicting health trajectories.
- Effective aging biomarkers should be specific, systemic, and clinically relevant.
- Further research is needed to fully characterize and validate aging biomarkers for clinical application.
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