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, 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. 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 = 0.61kg, 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). 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 inflammation and sex steroids may play dominant roles in changes of these functional outcomes.
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, 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. 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 = 0.61kg, 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 (DHEASwomen 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 (DHEASwomen 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 inflammation and sex steroids may play dominant roles in changes of these functional outcomes.
Authors: L P Fried; N O Borhani; P Enright; C D Furberg; J M Gardin; R A Kronmal; L H Kuller; T A Manolio; M B Mittelmark; A Newman Journal: Ann Epidemiol Date: 1991-02 Impact factor: 3.797
Authors: Nancy S Jenny; Benjamin French; Alice M Arnold; Elsa S Strotmeyer; Mary Cushman; Paulo H M Chaves; Jingzhong Ding; Linda P Fried; Stephen B Kritchevsky; Dena E Rifkin; Mark J Sarnak; Anne B Newman Journal: J Gerontol A Biol Sci Med Sci Date: 2012-02-24 Impact factor: 6.053
Authors: Stephen D Anton; Adam J Woods; Tetso Ashizawa; Diana Barb; Thomas W Buford; Christy S Carter; David J Clark; Ronald A Cohen; Duane B Corbett; Yenisel Cruz-Almeida; Vonetta Dotson; Natalie Ebner; Philip A Efron; Roger B Fillingim; Thomas C Foster; David M Gundermann; Anna-Maria Joseph; Christy Karabetian; Christiaan Leeuwenburgh; Todd M Manini; Michael Marsiske; Robert T Mankowski; Heather L Mutchie; Michael G Perri; Sanjay Ranka; Parisa Rashidi; Bhanuprasad Sandesara; Philip J Scarpace; Kimberly T Sibille; Laurence M Solberg; Shinichi Someya; Connie Uphold; Stephanie Wohlgemuth; Samuel Shangwu Wu; Marco Pahor Journal: Ageing Res Rev Date: 2015-10-14 Impact factor: 10.895
Authors: T Doi; H Makizako; K Tsutsumimoto; R Hotta; S Nakakubo; K Makino; T Suzuki; H Shimada Journal: J Nutr Health Aging Date: 2018 Impact factor: 4.075
Authors: Anne B Newman; Jason L Sanders; Jorge R Kizer; Robert M Boudreau; Michelle C Odden; Adina Zeki Al Hazzouri; Alice M Arnold Journal: Int J Epidemiol Date: 2016-06-06 Impact factor: 7.196
Authors: Matthew J Peterson; Dana K Thompson; Carl F Pieper; Miriam C Morey; Virginia B Kraus; William E Kraus; Patrick Sullivan; Gerda Fillenbaum; Harvey J Cohen Journal: J Gerontol A Biol Sci Med Sci Date: 2015-03-05 Impact factor: 6.053
Authors: Todd M Manini; Stephen D Anton; Daniel P Beavers; Jane A Cauley; Mark A Espeland; Roger A Fielding; Stephen B Kritchevsky; Christiaan Leeuwenburgh; Kristina H Lewis; Christine Liu; Mary M McDermott; Michael E Miller; Russell P Tracy; Jeremy D Walston; Barbara Radziszewska; Jane Lu; Cindy Stowe; Samuel Wu; Anne B Newman; Walter T Ambrosius; Marco Pahor Journal: J Am Geriatr Soc Date: 2017-07-22 Impact factor: 5.562
Authors: Daniel W Belsky; Terrie E Moffitt; Alan A Cohen; David L Corcoran; Morgan E Levine; Joseph A Prinz; Jonathan Schaefer; Karen Sugden; Benjamin Williams; Richie Poulton; Avshalom Caspi Journal: Am J Epidemiol Date: 2018-06-01 Impact factor: 4.897
Authors: Alan A Cohen; Véronique Legault; Georg Fuellen; Tamàs Fülöp; Linda P Fried; Luigi Ferrucci Journal: Exp Gerontol Date: 2017-07-16 Impact factor: 4.032
Authors: Damani A Piggott; Ravi Varadhan; Shruti H Mehta; Todd T Brown; Huifen Li; Jeremy D Walston; Sean X Leng; Gregory D Kirk Journal: J Gerontol A Biol Sci Med Sci Date: 2015-09-18 Impact factor: 6.053
Authors: Alexandra M V Wennberg; Clinton E Hagen; Mary M Machulda; John H Hollman; Rosebud O Roberts; David S Knopman; Ronald C Petersen; Michelle M Mielke Journal: Neurobiol Aging Date: 2018-02-19 Impact factor: 4.673
Authors: Teemu J Niiranen; Danielle M Enserro; Martin G Larson; Ramachandran S Vasan Journal: J Gerontol A Biol Sci Med Sci Date: 2019-10-04 Impact factor: 6.053