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Updated: Aug 5, 2026

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Measuring Single-Cell Aging with an Imaging-based Biomarker of Chromatin and Epigenetic Aging
Published on: January 30, 2026
Decoding aging clocks from a metabolomic perspective
Xueyu Qu1,2, Qiqi You3, Menglin Fan3
1College of Medicine, Wuhan University of Science & Technology, Wuhan, China.
Peerj
|July 28, 2026
Summary
Metabolomics offers a new way to measure biological age, overcoming limitations of current epigenetic clocks. This approach enhances aging clock accuracy and biological understanding for better healthspan extension.
Area of Science:
- Biogerontology
- Metabolomics
- Biomarker Discovery
Background:
- Chronological aging differs from biological aging, with current epigenetic clocks having limitations.
- Metabolomics captures real-time physiological status, reflecting biological events.
- There's a need for improved aging clocks that incorporate metabolic data.
Purpose of the Study:
- To review aging clocks using a metabolomic perspective.
- To propose a research workflow for developing metabolomic aging clocks.
- To enhance the accuracy and biological plausibility of aging biomarkers.
Main Methods:
- Data preprocessing, feature selection, and model construction for metabolomic data.
- A three-phase causal strategy: global screening, local verification, and dynamic validation.
- Evaluation of translational prospects and applied value of metabolomic aging clocks.
Main Results:
- Metabolomic aging clocks can improve predictive accuracy over epigenetic clocks.
- The proposed workflow and causal strategy strengthen biological plausibility.
- Metabolite-derived biomarkers offer enhanced causal inference potential.
Conclusions:
- Metabolomics provides a powerful lens for developing advanced aging clocks.
- This integrated methodology can extend human healthspan.
- Metabolomic aging clocks have significant translational value for aging-related diseases.
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