In April 2016 Manchester eScholar was replaced by the University of Manchester’s new Research Information Management System, Pure. In the autumn the University’s research outputs will be available to search and browse via a new Research Portal. Until then the University’s full publication record can be accessed via a temporary portal and the old eScholar content is available to search and browse via this archive.

Related resources

Full-text held externally

University researcher(s)

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

    Martin-Ruiz, Carmen; Jagger, Carol; Kingston, Andrew; Collerton, Joanna; Catt, Michael; Davies, Karen; Dunn, Mick; Hilkens, Catharien; Keavney, Bernard; Pearce, Simon H S; den Elzen, Wendy P J; Talbot, Duncan; Wiley, Laura; Bond, John; Mathers, John C; Eccles, Martin P; Robinson, Louise; James, Oliver; Kirkwood, Thomas B L; von Zglinicki, Thomas

    Mechanisms of ageing and development. 2011;132(10):496-502.

    Access to files

    Full-text and supplementary files are not available from Manchester eScholar. Full-text is available externally using the following links:

    Full-text held externally

    Abstract

    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.

    Institutional metadata

    University researcher(s):
    Academic department(s):

    Record metadata

    Manchester eScholar ID:
    uk-ac-man-scw:201226
    Created by:
    Price, Caroline
    Created:
    11th July, 2013, 14:29:01
    Last modified by:
    Price, Caroline
    Last modified:
    11th July, 2013, 14:29:01

    Can we help?

    The library chat service will be available from 11am-3pm Monday to Friday (excluding Bank Holidays). You can also email your enquiry to us.