Evidence map›Paper›PMID 23811185›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2014

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 R Kizer, Robert M Boudreau, Mary Cushman, Anne B Newman

Open access · bronzeAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Pace of Aging in older adults matters for healthspan and lifespan.medRxiv : the preprint server for health sciences · 2024
    Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Multisystem Trajectories Over the Adult Life Course and Relations to Cardiovascular Disease and Death.The journals of gerontology. Series A, Biological sciences and medical sciences · 2019
    Article
  15. Article
  16. Review
  17. Trajectories of IGF-I Predict Mortality in Older Adults: The Cardiovascular Health Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2018
    Observational
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Jason L SandersBellefield Professional Building 4th Floor, 130 North Bellefield Avenue, Pittsburgh, PA 15213. jls196@pitt.edu.
Victoria Ding
Alice M Arnold
Robert C Kaplan
Anne R Cappola
Jorge R Kizer
Robert M Boudreau
Mary Cushman
Anne B Newman
University of Pittsburgh · USUniversity of Washington · USUniversity of Pennsylvania · US

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
TRAINING IN THE EPIDEMIOLOGY OF AGINGT32AG000181 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STROTMEYER, ELSA S. · 1989 to 2025
$6.2M
Predictors of Alheimers Disease in Mild Cognitive ImpairmentR01AG020098 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOPEZ, OSCAR L. · 2002 to 2011
$3.7M
Epidemiology of IGF's and AgingR01AG031890 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI KAPLAN, ROBERT C · 2009 to 2012
$2.3M
Hormonal trajectories in agingR01AG027058 · NIA · UNIVERSITY OF PENNSYLVANIA · PI CAPPOLA, ANNE R · 2006 to 2009
$1.2M
Predictors of Alzheimers Disease in Mild Cognitive ImpairmentR56AG020098 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOPEZ, OSCAR L. · 2007 to 2007
$482k
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R56AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2010 to 2010
$300k
Epidemiology of lens aging in older womenF30AG038093 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SANDERS, JASON LEIGH · 2010 to 2013
$141k
COGNITIVE TESTS, APOE, BRAIN MRI AND RISKS OF DEMENTIAR01AG015928 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KULLER, LEWIS H · 1998 to 1999
–
NIA NIH HHS 1F30-AG038093NIA NIH HHS 1R01AG031890NIA NIH HHS AG-023629NIA NIH HHS AG-027058NIA NIH HHS AG-15928NIA NIH HHS AG-20098NIA NIH HHS P30 AG024827NIA NIH HHS R01 AG023629NIA NIH HHS T32 AG000181PHS HHS R01-023629PHS HHS R01-027058PHS HHS R01-031890-01
6 · The paper itself

Abstract

backgroundIt 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.

methodsDehydroepiandrosterone 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.

resultsCorrelations 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).

conclusionChanges 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.

Indexed as

AdiponectinAgedAged, 80 and overAgingBiomarkersCholesterolCognitionCohort StudiesDehydroepiandrosterone SulfateFemaleGaitHand StrengthHumansInsulin-Like Growth Factor Binding Protein 1Insulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor IAdiponectinBiomarkersCholesterolDehydroepiandrosterone SulfateInsulin-Like Growth Factor Binding Protein 1Insulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor IInterleukin-6BiomarkersEpidemiologyFunctional performanceInflammationLongevity

Identifiers

PMID23811185
PMCPMC4038245
OpenAlexW2144272289

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.