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Area of Science:

  • Gerontology
  • Comparative Biology
  • Physiological Networks

Background:

  • Aging is a complex process influenced by integrated physiological networks.
  • Principal component analysis (PCA) identified "integrated albunemia" as a key aging biomarker in humans.
  • Integrated albunemia showed stronger associations with age and mortality than individual biomarkers in humans.

Purpose of the Study:

  • To investigate the presence and characteristics of integrated albunemia in nonhuman primates.
  • To assess the association of integrated albunemia with aging and mortality across diverse primate species.
  • To explore the evolutionary conservation of integrated albunemia.

Main Methods:

  • Principal component analysis (PCA) of 13 physiological biomarkers across six primate species and humans.
  • Analysis of the primary axis of variation (PC1) for resemblance to integrated albunemia.
  • Evaluation of PC1 associations with age and mortality risk within and across species.

Main Results:

  • A primary axis of variation (PC1) resembling integrated albunemia was consistently identified across all species.
  • PC1 increased with age in most species, but its predictive power for mortality varied.
  • PC1 structure showed strong correlations across species, suggesting evolutionary conservation.
  • Phylogenetic effects on PC1 structure were inconclusive.

Conclusions:

  • Integrated albunemia appears to be an evolutionarily conserved process across primates.
  • This physiological process is generally associated with aging but not consistently with negative survival impacts.
  • The findings suggest broader implications for understanding the evolution of aging and physiological networks.