TY - JOUR
T1 - Do changes in circulating biomarkers track with each other and with functional changes in older adults?
AU - Sanders, Jason L.
AU - Ding, Victoria
AU - Arnold, Alice M.
AU - Kaplan, Robert C.
AU - Cappola, Anne R.
AU - Kizer, Jorge R.
AU - Boudreau, Robert M.
AU - Cushman, Mary
AU - Newman, Anne B.
N1 - Funding Information:
Supplementary Material Supplementary material can be found at: http://biomedgerontology. oxfordjournals.org/ Funding This research is supported by the National Institute on Aging (NIA) R01-027058, R01-023629, and R01-031890-01 and National Heart, Lung, and Blood Institute (NHLBI) contracts HHSN268201200036C, N01-HC-85239, N01-HC-85079 through N01-HC-85086; N01-HC-35129, N01 HC-15103, N01 HC-55222, N01-HC-75150, N01-HC-45133, and NHLBI grant HL080295, with additional contribution from National Institute of Neurological Disorders and Stroke. Additional support was provided through AG-023629, AG-15928, AG-20098, and AG-027058 from the NIA. See also http://www.chs-nhlbi.org/pi.htm. J.L.S. is supported by a National Research Service Award (1F30-AG038093) from the NIA. IGF-1 measurement was supported by 1R01AG031890 to R.C.K.
PY - 2014
Y1 - 2014
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.
AB - 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.
KW - Biomarkers
KW - Epidemiology
KW - Functional performance
KW - Infammation
KW - Longevity
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U2 - 10.1093/gerona/glt088
DO - 10.1093/gerona/glt088
M3 - Article
C2 - 23811185
AN - SCOPUS:84896795024
SN - 1079-5006
VL - 69 A
SP - 174
EP - 181
JO - Journals of Gerontology - Series A Biological Sciences and Medical Sciences
JF - Journals of Gerontology - Series A Biological Sciences and Medical Sciences
IS - 2
ER -