Biomarkers of ageing: Current state-of-art, challenges, and opportunities

Ruiye Chen, Yueye Wang, Shiran Zhang, Gabriella Bulloch, Junyao Zhang, Huan Liao, Xianwen Shang, Malcolm Clark, Qingsheng Peng, Zongyuan Ge, Ching Yu Cheng, Yuanxu Gao, Mingguang He, Zhuoting Zhu

Research output: Contribution to journalReview ArticleResearchpeer-review

7 Citations (Scopus)

Abstract

Given the unprecedented phenomenon of population ageing, studies have increasing captured the heterogeneity within the ageing process. In this context, the concept of “biological age” has been introduced as an integrated measure reflecting the individualized ageing pace. Identifying reliable and robust biomarkers of age is critical for the accurate risk stratification of individuals and exploration into antiageing interventions. Numerous potential biomarkers of ageing have been proposed, spanning from molecular changes and imaging characteristics to clinical phenotypes. In this review, we will start off with a discussion of the development of ageing biomarkers, then we will provide a comprehensive summary of currently identified ageing biomarkers in humans, discuss the rationale behind each biomarker and highlight their accuracy and clinical value with a contemporary perspective. Additionally, we will discuss the challenges, potential applications, and future opportunities in this field. While research on ageing biomarkers has led to significant progress and applications, further investigations are still necessary. We anticipate that future breakthroughs in this field will involve exploring potential mechanisms, developing biomarkers by combining various data sources or employing new technologies, and validating the clinical value of existing and emerging biomarkers through comprehensive collaboration and longitudinal studies.

Original languageEnglish
Article numbere50
Number of pages31
JournalMedComm - Future Medicine
Volume2
Issue number2
DOIs
Publication statusPublished - Jun 2023

Keywords

  • biomarker of ageing
  • brain age
  • epigenetic clock
  • prediction

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