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Discrete Changes in Glucose Metabolism Define Aging.

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Researchers developed a novel aging clock using glucose metabolism markers. This machine learning model accurately predicts biological age from blood cells, offering a new tool for aging research and therapeutic evaluation.

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Area of Science:

  • Gerontology and Aging Research
  • Metabolic Biochemistry
  • Biomarker Discovery

Background:

  • Aging is a complex physiological process involving cellular alterations like telomere shortening and oxidative stress.
  • Existing aging clocks, such as DNA methylation-based models, highlight the link between specific biological pathways and chronological age.
  • Changes in energy metabolism are increasingly recognized as significant contributors to the aging process.

Purpose of the Study:

  • To propose and validate a new aging clock based on modifications in glucose catabolism.
  • To develop a machine learning model for predicting individual age using biochemical markers of glucose metabolism.
  • To establish a non-invasive tool for assessing biological age and evaluating interventions related to aging and rejuvenation.

Main Methods:

  • Biochemical analyses were conducted on mononuclear cells from a healthy cohort aged 5 to 106 years.
  • Key metabolic parameters measured included oxidative phosphorylation function/efficiency, ATP/AMP ratio, lactate dehydrogenase activity, and malondialdehyde content.
  • A machine learning model was trained using these biochemical markers to predict chronological age.

Main Results:

  • The developed machine learning model accurately predicted individual age with a mean absolute error of approximately 9.7 years.
  • Specific alterations in glucose catabolism markers were identified as reliable indicators of biological aging.
  • The study demonstrates the feasibility of using metabolic profiles to estimate age.

Conclusions:

  • A novel aging clock based on glucose catabolism markers has been successfully developed.
  • This non-invasive, machine learning-based tool provides a new method for age assessment.
  • The aging clock has potential applications in evaluating the efficacy of anti-aging and rejuvenation therapies.