Decoding Biological Age: Emerging Insights, Persistent Challenges, and Our Journey Toward De-Development or Reliable Aging Biomarkers

Abstract Biological age provides a more accurate measure of healthspan and disease risk than chronological age, yet the development of robust and clinically actionable biomarkers remains an ongoing challenge. In this presentation, I will outline emerging insights that are reshaping our understanding of the aging process, while highlighting the persistent technical and conceptual barriers that hinder biomarker validation and standardization. Drawing on work from the Biomarkers of Aging Consortium, I will share our collaborative efforts to define, benchmark, and harmonize key readouts of biological age, with a particular focus on clinical immune aging biomarkers as a case study for translating discovery into real-world applications.

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Publication Details

Journal
Innovation in Aging
Published
2025-12-01
DOI
https://doi.org/10.1093/geroni/igaf122.1670
Primary Topic
Genetics, Aging, and Longevity in Model Organisms
Type
article
Field-Weighted Citation Impact
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article

Decoding Biological Age: Emerging Insights, Persistent Challenges, and Our Journey Toward De-Development or Reliable Aging Biomarkers

Andrea Cipriano
Innovation in Aging
Genetics, Aging, and Longevity in Model Organisms
article

Decoding Biological Age: Emerging Insights, Persistent Challenges, and Our Journey Toward De-Development or Reliable Aging Biomarkers

Andrea Cipriano
article en

Abstract

Abstract Biological age provides a more accurate measure of healthspan and disease risk than chronological age, yet the development of robust and clinically actionable biomarkers remains an ongoing challenge. In this presentation, I will outline emerging insights that are reshaping our understanding of the aging process, while highlighting the persistent technical and conceptual barriers that hinder biomarker validation and standardization. Drawing on work from the Biomarkers of Aging Consortium, I will share our collaborative efforts to define, benchmark, and harmonize key readouts of biological age, with a particular focus on clinical immune aging biomarkers as a case study for translating discovery into real-world applications.

Innovation in AgingVol. 9(Supplement_2)
Palo Alto University (US)
Partnerships for the goals
Openalex Percentile: Top 36%
Genetics, Aging, and Longevity in Model Organisms
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