Assessment of a large panel of candidate biomarkers of ageing in the Newcastle 85+ study

  1. Lookup NU author(s)
  2. Dr Carmen Martin-Ruiz
  3. Professor Carol Jagger
  4. Andrew Kingston
  5. Dr Joanna Collerton
  6. Professor Mike Catt
  7. karen Davies
  8. Dr Michael Dunn
  9. Dr Catharien Hilkens
  10. Professor Bernard Keavney
  11. Professor Simon Pearce
  12. Wendy den Elzen
  13. David Talbot
  14. Laura Wiley
  15. Professor John Bond
  16. Professor John Mathers
  17. Professor Martin Eccles
  18. Professor Louise Robinson
  19. Professor Oliver James
  20. Professor Thomas Kirkwood CBE
  21. Professor Thomas von Zglinicki
Author(s)Martin Ruiz C, Jagger C, Kingston A, Collerton J, Catt M, Davies K, Dunn M, Hilkens C, Keavney B, Pearce S, den Elzen W, Talbot D, Wiley L, Bond J, Mathers J, Eccles M, Robinson L, James O, Kirkwood T, von Zglinicki T
Publication type Article
JournalMechanisms of Ageing and Development
Year2011
Volume132
Issue10
Pages496-502
ISSN (print)0047-6374
ISSN (electronic)1872-6216
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Sensitive and specific biomarkers of ageing are needed to evaluate interventions to extend health span. However, there is growing evidence that information provided by candidate biomarkers may change with age itself. Little is yet known about the value of candidate biomarkers in those over 85 years, currently the fastest growing population sub-group in many countries. This study assessed a large panel of candidate biomarkers in a cohort of 85 years old by studying comparative associations with health status. Using a cross-sectional sample of 852 individuals aged 85, we performed uni- and multi-variable analyses of associations between 74 candidate biomarkers and 4 health-status measures: viz. multi-morbidity, cognitive impairment, disability and proximity to death as measured by mortality within 1.5 years. We defined as most informative any measures that were significantly associated with at least two of the health-status measures in multivariable analyses in this age group. 10 out of 74 tested candidates fulfilled this criterion, while several proposed biomarkers of ageing, notably inflammation and immune risk markers and telomere length, did not. As future data accrues on health outcomes within the cohort, it will become possible also to evaluate the predictive value of these and others of the candidate biomarkers.
PublisherElsevier Ireland Ltd
URLhttp://dx.doi.org/10.1016/j.mad.2011.08.001
DOI10.1016/j.mad.2011.08.001
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