Insights into the therapeutic strategies for aging and aging-associated diseases

Ruifang Dong1, Qiming Wu2, Juntao Kan2

  • 1National University of Singapore (Suzhou) Research Institute, Suzhou, China.

Insights

Targeting aging hallmarks with senolytics, senomorphics, and metabolic interventions shows promise for extending healthspan. Artificial intelligence accelerates the development of personalized longevity therapies to combat age-related diseases.

Area of Science:

  • Gerontology and regenerative medicine.
  • Biotechnology and pharmaceutical sciences.
  • Computational biology and bioinformatics.

Background:

  • Aging is a complex biological process leading to functional decline and increased risk of age-related diseases.
  • Key aging mechanisms include cellular senescence, metabolic dysfunction, epigenetic alterations, and mitochondrial impairment.
  • Current therapeutic strategies aim to delay aging and mitigate disease by targeting these core mechanisms.

Purpose of the Study:

  • To systematically review current breakthroughs in aging therapeutics.
  • To summarize the clinical landscape and future directions in interventions targeting aging.
  • To underscore interdisciplinary strategies for redefining healthy aging and promoting longevity.

Main Methods:

  • Review of emerging interventions targeting aging hallmarks: senolytics, senomorphics, senoreversion, and metabolic interventions.
  • Exploration of artificial intelligence (AI) applications in aging research, including multiomics data integration and biomarker identification.
  • Analysis of preclinical and clinical data on lifespan and healthspan extension.

Main Results:

  • Senolytics, senomorphics, and metabolic interventions like caloric restriction mimetics show promise in preclinical models for extending lifespan and healthspan.
  • AI is accelerating drug discovery, biomarker identification, and personalized longevity interventions.
  • These approaches collectively facilitate a transition towards precision longevity medicine.

Conclusions:

  • Targeting core aging mechanisms offers a promising avenue for delaying aging and alleviating age-related pathologies.
  • The convergence of AI, multitarget strategies, and precision medicine heralds a transformative era in healthspan extension.
  • Despite challenges in target specificity and clinical translation, interdisciplinary strategies are key to redefining healthy aging.

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