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A defined human aging phenome.

Søren Norge Andreassen1, Michael Ben Ezra1, Morten Scheibye-Knudsen1

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This summary is machine-generated.

Researchers mapped the human aging phenome by analyzing millions of PubMed abstracts. This comprehensive aging landscape identifies key features and potential intervention points for age-associated diseases.

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Area of Science:

  • Gerontology and Bioinformatics
  • Computational Biology and Medicine
  • Human Phenotyping

Background:

  • Aging is a complex human phenotype with poorly characterized features.
  • Understanding aging is critical for addressing age-associated diseases.
  • The interplay between age-associated features remains largely undefined.

Purpose of the Study:

  • To comprehensively describe the human aging phenotype.
  • To identify and validate age-associated features.
  • To discover potential intervention targets for aging and related diseases.

Main Methods:

  • Mining millions of PubMed abstracts for age-associated terms.
  • Clustering discovered features with established hallmarks of aging.
  • Validating newly discovered features in large-scale cohorts (76 million individuals).

Main Results:

  • Generated a detailed description of the human aging phenotype.
  • Discovered age-associated features that align with hallmarks of aging.
  • Identified and stratified the most prominent aging features.

Conclusions:

  • Propose a comprehensive landscape of human aging, termed the 'human aging phenome'.
  • The human aging phenome provides a framework for understanding aging.
  • This work highlights areas for future research and therapeutic interventions.