Do changes in circulating biomarkers track with each other and with functional changes in older adults?

Jason L. Sanders, Victoria Ding, Alice M. Arnold, Robert C. Kaplan, Anne R. Cappola, Jorge Kizer, Robert M. Boudreau, Mary Cushman, Anne B. Newman

Research output: Contribution to journalArticle

33 Citations (Scopus)

Abstract

Background: It is unclear if changes in proposed circulating biomarkers of aging are strongly correlated to each other or functional change. We tested if biomarker changes track with each other and with functional measures over 9 years in older adults. Methods: Dehydroepiandrosterone sulfate (DHEAS), adiponectin, insulin-like growth factor 1 (IGF-1), IGF binding proteins 1 (IGFBP-1) and 3 (IGFBP-3), interleukin-6 (IL-6), cholesterol, and function (gait speed, grip strength, Modifed Mini Mental Status Exam [3MSE] and Digit Symbol Substitution Test [DSST] scores) were measured in 1996-1997 and 2005-2006 in the Cardiovascular Health Study All Stars study (N = 901, mean [standard deviation, SD] age 85.3 [3.6] years in 2005-2006). Adjusted Pearson correlations illustrated if biomarkers tracked together. Multivariable linear regression demonstrated if biomarker changes tracked with functional changes. Results: Correlations among biomarker changes were mostly <0.2. In models with each biomarker entered separately, a 1-SD increase biomarker change was associated with change in function as follows: grip strength (DHEAS β = 0.61 kg, p =.001; IL-6 β = -0.46 kg, p =.012; cholesterol men β = 0.79 kg, p =.016); gait speed (DHEAS β = 0.02 meters per second, p =.039; IL-6 β = -0.018 meters per second, p =.049); and DSST score (DHEAS women β = 1.46, p =.004; IL-6 β = -0.83, p =.027). When biomarkers were entered in the same model, significant associations remaining were as follows: grip strength (DHEAS β = 0.54 kg, p =.005; IL-6 β = -0.43 kg, p =.022); 3MSE score (IGF-1 β = 0.96, p =.04; IGFBP-3 β = -1.07, p =.024); and DSST score (DHEAS women β = 1.27, p =.012; IL-6 β = -0.80, p =.04). Conclusion: Changes in biomarkers were poorly correlated, supporting a model of stochastic, independent change across systems. DHEAS and IL-6 tracked most closely with function, illustrating that changes in infammation and sex steroids may play dominant roles in changes of these functional outcomes.

Original languageEnglish (US)
Pages (from-to)174-181
Number of pages8
JournalJournals of Gerontology - Series A Biological Sciences and Medical Sciences
Volume69 A
Issue number2
DOIs
StatePublished - 2014

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Dehydroepiandrosterone Sulfate
Biomarkers
Interleukin-6
Hand Strength
Insulin-Like Growth Factor Binding Protein 1
Insulin-Like Growth Factor Binding Protein 3
Somatomedins
Cholesterol
Adiponectin
Linear Models
Steroids
Health

Keywords

  • Biomarkers
  • Epidemiology
  • Functional performance
  • Infammation
  • Longevity

ASJC Scopus subject areas

  • Aging
  • Geriatrics and Gerontology
  • Medicine(all)

Cite this

Do changes in circulating biomarkers track with each other and with functional changes in older adults? / Sanders, Jason L.; Ding, Victoria; Arnold, Alice M.; Kaplan, Robert C.; Cappola, Anne R.; Kizer, Jorge; Boudreau, Robert M.; Cushman, Mary; Newman, Anne B.

In: Journals of Gerontology - Series A Biological Sciences and Medical Sciences, Vol. 69 A, No. 2, 2014, p. 174-181.

Research output: Contribution to journalArticle

Sanders, Jason L. ; Ding, Victoria ; Arnold, Alice M. ; Kaplan, Robert C. ; Cappola, Anne R. ; Kizer, Jorge ; Boudreau, Robert M. ; Cushman, Mary ; Newman, Anne B. / Do changes in circulating biomarkers track with each other and with functional changes in older adults?. In: Journals of Gerontology - Series A Biological Sciences and Medical Sciences. 2014 ; Vol. 69 A, No. 2. pp. 174-181.
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abstract = "Background: It is unclear if changes in proposed circulating biomarkers of aging are strongly correlated to each other or functional change. We tested if biomarker changes track with each other and with functional measures over 9 years in older adults. Methods: Dehydroepiandrosterone sulfate (DHEAS), adiponectin, insulin-like growth factor 1 (IGF-1), IGF binding proteins 1 (IGFBP-1) and 3 (IGFBP-3), interleukin-6 (IL-6), cholesterol, and function (gait speed, grip strength, Modifed Mini Mental Status Exam [3MSE] and Digit Symbol Substitution Test [DSST] scores) were measured in 1996-1997 and 2005-2006 in the Cardiovascular Health Study All Stars study (N = 901, mean [standard deviation, SD] age 85.3 [3.6] years in 2005-2006). Adjusted Pearson correlations illustrated if biomarkers tracked together. Multivariable linear regression demonstrated if biomarker changes tracked with functional changes. Results: Correlations among biomarker changes were mostly <0.2. In models with each biomarker entered separately, a 1-SD increase biomarker change was associated with change in function as follows: grip strength (DHEAS β = 0.61 kg, p =.001; IL-6 β = -0.46 kg, p =.012; cholesterol men β = 0.79 kg, p =.016); gait speed (DHEAS β = 0.02 meters per second, p =.039; IL-6 β = -0.018 meters per second, p =.049); and DSST score (DHEAS women β = 1.46, p =.004; IL-6 β = -0.83, p =.027). When biomarkers were entered in the same model, significant associations remaining were as follows: grip strength (DHEAS β = 0.54 kg, p =.005; IL-6 β = -0.43 kg, p =.022); 3MSE score (IGF-1 β = 0.96, p =.04; IGFBP-3 β = -1.07, p =.024); and DSST score (DHEAS women β = 1.27, p =.012; IL-6 β = -0.80, p =.04). Conclusion: Changes in biomarkers were poorly correlated, supporting a model of stochastic, independent change across systems. DHEAS and IL-6 tracked most closely with function, illustrating that changes in infammation and sex steroids may play dominant roles in changes of these functional outcomes.",
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AU - Ding, Victoria

AU - Arnold, Alice M.

AU - Kaplan, Robert C.

AU - Cappola, Anne R.

AU - Kizer, Jorge

AU - Boudreau, Robert M.

AU - Cushman, Mary

AU - Newman, Anne B.

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N2 - Background: It is unclear if changes in proposed circulating biomarkers of aging are strongly correlated to each other or functional change. We tested if biomarker changes track with each other and with functional measures over 9 years in older adults. Methods: Dehydroepiandrosterone sulfate (DHEAS), adiponectin, insulin-like growth factor 1 (IGF-1), IGF binding proteins 1 (IGFBP-1) and 3 (IGFBP-3), interleukin-6 (IL-6), cholesterol, and function (gait speed, grip strength, Modifed Mini Mental Status Exam [3MSE] and Digit Symbol Substitution Test [DSST] scores) were measured in 1996-1997 and 2005-2006 in the Cardiovascular Health Study All Stars study (N = 901, mean [standard deviation, SD] age 85.3 [3.6] years in 2005-2006). Adjusted Pearson correlations illustrated if biomarkers tracked together. Multivariable linear regression demonstrated if biomarker changes tracked with functional changes. Results: Correlations among biomarker changes were mostly <0.2. In models with each biomarker entered separately, a 1-SD increase biomarker change was associated with change in function as follows: grip strength (DHEAS β = 0.61 kg, p =.001; IL-6 β = -0.46 kg, p =.012; cholesterol men β = 0.79 kg, p =.016); gait speed (DHEAS β = 0.02 meters per second, p =.039; IL-6 β = -0.018 meters per second, p =.049); and DSST score (DHEAS women β = 1.46, p =.004; IL-6 β = -0.83, p =.027). When biomarkers were entered in the same model, significant associations remaining were as follows: grip strength (DHEAS β = 0.54 kg, p =.005; IL-6 β = -0.43 kg, p =.022); 3MSE score (IGF-1 β = 0.96, p =.04; IGFBP-3 β = -1.07, p =.024); and DSST score (DHEAS women β = 1.27, p =.012; IL-6 β = -0.80, p =.04). Conclusion: Changes in biomarkers were poorly correlated, supporting a model of stochastic, independent change across systems. DHEAS and IL-6 tracked most closely with function, illustrating that changes in infammation and sex steroids may play dominant roles in changes of these functional outcomes.

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KW - Epidemiology

KW - Functional performance

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KW - Longevity

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