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

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

doi:10.1016/j.mad.2011.08.001

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

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

Health Sciences

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	496-502
Number of pages	7
Journal	Mechanisms of ageing and development
Volume	132
Issue number	10
DOIs	https://doi.org/10.1016/j.mad.2011.08.001
Publication status	Published - Oct 2011

Bibliographical note

Keywords

Aged
Aged, 80 and over
Aging/blood
Biomarkers/blood
Cohort Studies
Cross-Sectional Studies
England/epidemiology
Female
Health Status Indicators
Humans
Male
Mortality
Multivariate Analysis
Predictive Value of Tests

Access to Document

10.1016/j.mad.2011.08.001

Cite this

Martin-Ruiz, C., Jagger, C., Kingston, A., Collerton, J., Catt, M., Davies, K., Dunn, M., Hilkens, C., Keavney, B., Pearce, S. H. S., den Elzen, W. P. J., Talbot, D., Wiley, L., Bond, J., Mathers, J. C., Eccles, M. P., Robinson, L., James, O., Kirkwood, T. B. L., & von Zglinicki, T. (2011). Assessment of a large panel of candidate biomarkers of ageing in the Newcastle 85+ study. Mechanisms of ageing and development, 132(10), 496-502. https://doi.org/10.1016/j.mad.2011.08.001

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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.",

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

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Martin-Ruiz, C, Jagger, C, Kingston, A, Collerton, J, Catt, M, Davies, K, Dunn, M, Hilkens, C, Keavney, B, Pearce, SHS, den Elzen, WPJ, Talbot, D, Wiley, L, Bond, J, Mathers, JC, Eccles, MP, Robinson, L, James, O, Kirkwood, TBL & von Zglinicki, T 2011, 'Assessment of a large panel of candidate biomarkers of ageing in the Newcastle 85+ study', Mechanisms of ageing and development, vol. 132, no. 10, pp. 496-502. https://doi.org/10.1016/j.mad.2011.08.001

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AU - Martin-Ruiz, Carmen

AU - Jagger, Carol

AU - Kingston, Andrew

AU - Collerton, Joanna

AU - Catt, Michael

AU - Davies, Karen

AU - Dunn, Mick

AU - Hilkens, Catharien

AU - Keavney, Bernard

AU - Pearce, Simon H S

AU - den Elzen, Wendy P J

AU - Talbot, Duncan

AU - Wiley, Laura

AU - Bond, John

AU - Mathers, John C

AU - Eccles, Martin P

AU - Robinson, Louise

AU - James, Oliver

AU - Kirkwood, Thomas B L

AU - von Zglinicki, Thomas

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N2 - 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.

AB - 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.

KW - Aged

KW - Aged, 80 and over

KW - Aging/blood

KW - Biomarkers/blood

KW - Cohort Studies

KW - Cross-Sectional Studies

KW - England/epidemiology

KW - Female

KW - Health Status Indicators

KW - Humans

KW - Male

KW - Mortality

KW - Multivariate Analysis

KW - Predictive Value of Tests

U2 - 10.1016/j.mad.2011.08.001

DO - 10.1016/j.mad.2011.08.001

M3 - Article

C2 - 21864562

SN - 0047-6374

VL - 132

SP - 496

EP - 502

JO - Mechanisms of ageing and development

JF - Mechanisms of ageing and development

IS - 10

ER -