Related Experiment Video

Updated: Jun 22, 2025

Monitoring Cell-autonomous Circadian Clock Rhythms of Gene Expression Using Luciferase Bioluminescence Reporters
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Monitoring Cell-autonomous Circadian Clock Rhythms of Gene Expression Using Luciferase Bioluminescence Reporters

Published on: September 27, 2012

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Towards Healthy Longevity: Comprehensive Insights from Molecular Targets and Biomarkers to Biological Clocks

Khalishah Yusri1,2, Sanjay Kumar1,2, Sheng Fong3,4

  • 1Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117596, Singapore.

International Journal of Molecular Sciences
|June 27, 2024
PubMed

Insights

Understanding aging involves studying molecular pathways and biomarkers. Targeting these hallmarks may lead to interventions and personalized approaches for healthier longevity.

Area of Science:

  • Gerontology and Molecular Biology
  • Biomedical Sciences

Background:

  • Aging is a complex, time-dependent decline in physiological function, increasing age-related disease risk.
  • Investigating aging's molecular basis is key for geroprotectors, biological age quantification, and healthy longevity strategies.

Purpose of the Study:

  • To review intervention targets and biomarkers of aging across molecular, cellular, and systemic levels.
  • To explore the development and application of biological aging clocks for risk stratification and intervention.

Main Methods:

  • Review of current research on hallmarks of aging as intervention targets and biomarkers.
  • Analysis of the construction and predictive capabilities of biological aging clocks.
  • Discussion of challenges and future directions, including multi-omics and machine learning.

Main Results:

  • Interventions targeting aging hallmarks show promise, with some in clinical trials.
  • Aging biomarkers enable biological age estimation and risk stratification for all-cause mortality.
  • Biological aging clocks can predict abnormal aging, disease risk, and mortality.

Conclusions:

  • Targeting hallmarks of aging offers new drug discovery and biomarker development avenues.
  • Biological age estimation provides a basis for personalized risk stratification and timely interventions.
  • Future prospects include multi-omics, machine learning, and personalized medicine for healthier aging.
Keywords:
agingbiological clocksbiomarkersclinical trialsdrug developmentgeroprotectorhealthy longevitymachine learningomicssupplements

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