DAMPs, ageing, and cancer: The 'DAMP Hypothesis'

Ageing Res Rev. 2015 Nov;24(Pt A):3-16. doi: 10.1016/j.arr.2014.10.004. Epub 2014 Oct 30.

Abstract

Ageing is a complex and multifactorial process characterized by the accumulation of many forms of damage at the molecular, cellular, and tissue level with advancing age. Ageing increases the risk of the onset of chronic inflammation-associated diseases such as cancer, diabetes, stroke, and neurodegenerative disease. In particular, ageing and cancer share some common origins and hallmarks such as genomic instability, epigenetic alteration, aberrant telomeres, inflammation and immune injury, reprogrammed metabolism, and degradation system impairment (including within the ubiquitin-proteasome system and the autophagic machinery). Recent advances indicate that damage-associated molecular pattern molecules (DAMPs) such as high mobility group box 1, histones, S100, and heat shock proteins play location-dependent roles inside and outside the cell. These provide interaction platforms at molecular levels linked to common hallmarks of ageing and cancer. They can act as inducers, sensors, and mediators of stress through individual plasma membrane receptors, intracellular recognition receptors (e.g., advanced glycosylation end product-specific receptors, AIM2-like receptors, RIG-I-like receptors, and NOD1-like receptors, and toll-like receptors), or following endocytic uptake. Thus, the DAMP Hypothesis is novel and complements other theories that explain the features of ageing. DAMPs represent ideal biomarkers of ageing and provide an attractive target for interventions in ageing and age-associated diseases.

Keywords: Ageing; Biomarker; Cancer; Damage-associated molecular pattern (DAMP) molecules; Longevity; Receptor.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Aging / metabolism*
  • Aging / pathology*
  • Animals
  • Humans
  • Neoplasms / metabolism*
  • Neoplasms / pathology*
  • Receptors, Pattern Recognition / metabolism*

Substances

  • Receptors, Pattern Recognition