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Do changes in circulating biomarkers track with each other and with functional changes in older adults?
Tuesday,2013-08-13 18:16 America/Los_Angeles — eenright
| Title | Do changes in circulating biomarkers track with each other and with functional changes in older adults? |
| Publication Type | Journal Article |
| Year of Publication | 2014 |
| Authors | Sanders, JL, Ding, V, Arnold, AM, Kaplan, RC, Cappola, AR, Kizer, JR, Boudreau, RM, Cushman, M, Newman, AB |
| Journal | J Gerontol A Biol Sci Med Sci |
| Volume | 69 |
| Issue | 2 |
| Pagination | 174-81 |
| Date Published | 2014 Feb |
| ISSN | 1758-535X |
| Keywords | Adiponectin, Aged, Aged, 80 and over, Aging, Biomarkers, Cholesterol, Cognition, Cohort Studies, Dehydroepiandrosterone Sulfate, Female, Gait, Hand Strength, Humans, Insulin-Like Growth Factor Binding Protein 1, Insulin-Like Growth Factor Binding Protein 3, Insulin-Like Growth Factor I, Interleukin-6, Male, Neuropsychological Tests, Psychomotor Performance, Time Factors |
| Abstract | <p><b>BACKGROUND: </b>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.</p><p><b>METHODS: </b>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, Modified 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.</p><p><b>RESULTS: </b>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 = 0.61kg, p = .001; IL-6 β = -0.46kg, p = .012; cholesterol men β = 0.79kg, 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 = 0.54kg, p = .005; IL-6 β = -0.43kg, 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).</p><p><b>CONCLUSION: </b>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 inflammation and sex steroids may play dominant roles in changes of these functional outcomes.</p> |
| DOI | 10.1093/gerona/glt088 |
| Alternate Journal | J. Gerontol. A Biol. Sci. Med. Sci. |
| PubMed ID | 23811185 |
| PubMed Central ID | PMC4038245 |
| Grant List | P30 AG024827 / AG / NIA NIH HHS / United States R01-031890-01 / / PHS HHS / United States 1R01AG031890 / AG / NIA NIH HHS / United States AG-15928 / AG / NIA NIH HHS / United States AG-20098 / AG / NIA NIH HHS / United States 1F30-AG038093 / AG / NIA NIH HHS / United States AG-027058 / AG / NIA NIH HHS / United States T32 AG000181 / AG / NIA NIH HHS / United States R01-027058 / / PHS HHS / United States R01-023629 / / PHS HHS / United States AG-023629 / AG / NIA NIH HHS / United States R01 AG023629 / AG / NIA NIH HHS / United States |