Evidence map›Paper›PMID 29474865›Full record

ArticleExperimental gerontology2018

Trajectories of plasma IGF-1, IGFBP-3, and their ratio in the Mayo Clinic Study of Aging.

Alexandra M V Wennberg, Clinton E Hagen, Ronald C Petersen, Michelle M Mielke

Abstract read
In one paragraph

Article in Experimental gerontology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Plasma and CSF biomarkers of aging and cognitive decline in Caribbean vervets.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. IGF-1 and cardiovascular disease.Growth hormone & IGF research : official journal of the Growth Hormone Research Society and the International IGF Research Society · 2019
    Review
  13. Review
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

4 authors at 3 institutions in 1 country.

Alexandra M V WennbergDepartment of Health Sciences Research, Mayo Clinic, 200 1st St. SW, Rochester, MN 55905, USA. Electronic address: Wennberg.alexandra@mayo.edu.
Clinton E HagenDepartment of Health Sciences Research, Mayo Clinic, 200 1st St. SW, Rochester, MN 55905, USA. Electronic address: Hagen.Clinton@mayo.edu.
Ronald C PetersenDepartment of Neurology, Mayo Clinic, 200 1st St. SW, Rochester, MN 55905, USA. Electronic address: peter8@mayo.edu.
Michelle M MielkeDepartment of Health Sciences Research, Mayo Clinic, 200 1st St. SW, Rochester, MN 55905, USA; Department of Neurology, Mayo Clinic, 200 1st St. SW, Rochester, MN 55905, USA. Electronic address: Mielke.Michelle@mayo.edu.
Mayo Clinic in Florida · USMayo Clinic · USWinnMed · US

Funding

SUPPLEMENT TO ALZHEIMERS DISEASE PATIENT REGISTRYU01AG006786 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, JACK, CLIFFORD R. · 1986 to 2023
$49.6M
Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
Sex-specific Risk for Vascular Dysfunction and Cognitive DeclineP50AG044170 · NIA · MAYO CLINIC ROCHESTER · PI MILLER, VIRGINIA M · 2012 to 2017
$6.1M
Reproductive risk factors for Alzheimer's disease dementia and pathologyRF1AG055151 · NIA · MAYO CLINIC ROCHESTER · PI MIELKE, MICHELLE M, ROCCA, WALTER A · 2017 to 2017
$4.0M
Sphingolipids and Inflammation in the Development and Progression of Alzheimer'sR01AG049704 · NIA · MAYO CLINIC ROCHESTER · PI MIELKE, MICHELLE M · 2015 to 2018
$1.5M
NIA NIH HHS P50 AG044170NIA NIH HHS R01 AG034676NIA NIH HHS R01 AG049704NIA NIH HHS RF1 AG055151NIA NIH HHS U01 AG006786
6 · The paper itself

Abstract

Insulin-like growth factor 1 (IGF-1) has been associated with osteoporosis, cardiovascular disease, cancer, neurodegenerative diseases, and mortality in middle and older aged adults. Cross-sectionally, IGF-1 decreases with age and levels of IGF-1 are markedly different between individuals. However, little is known about intra-individual trajectories of IGF-1. We examined baseline and serial measures of plasma total IGF-1, IGF binding protein (IGFBP)-3, and their ratio, which is a proxy for bioavailable IGF-1, among 1618 adults, aged 50-95, enrolled in the Mayo Clinic Study of Aging. At baseline, IGF-1 and IGFBP-3 were strongly correlated (r = 0.62, p < 0.001). Total IGF-1 and IGFBP-3 decreased across age, while the ratio of IGF-1/IGFBP-3 increased across age. This pattern was consistent across ages at baseline and intra-individually over an average 2.3 years follow-up (range = 10 months-5.6 years). In age-adjusted linear regression models, baseline levels of total IGF-1, IGFBP-3, and IGF-1/IGFBP-3 varied by participant characteristics (sex, BMI, gait speed), medical comorbidities (Charlson comorbidity index score, hypertension, diabetes, and cardiovascular disease), and hormone replacement therapy use in women. High interclass correlation coefficients (ICCs) suggest little intra-individual variability in levels of total IGF-1 (ICC = 0.84), IGFBP-3 (ICC = 0.88), and IGF-1/IGFBP-3 (ICC = 0.81) over time. In mixed effects models that specified age as a time scale, men showed greater decreases in total IGF-1 and IGFBP-3 with age, while more comorbidities and decreasing gait speed were associated with increasing IGFBP-3. In sex-stratified models, trajectories of total IGF-1, IGFBP-3, and IGF-1/IGFBP-3, as a function of participant demographics, health characteristics, and medical conditions, differed between men and women. These results suggest that change in levels of plasma total IGF-1, IGFBP-3, and IGF-1/IGFBP-3 are associated with demographics, health characteristics, and medical conditions, and that the trajectories of change differ by sex. Future research should consider how IGF-1 and IGFBP-3 might be useful in research or clinic, paying particular attention to how sex may impact levels as a function of demographics, health characteristics, and medical conditions.

Indexed as

AgedAged, 80 and overAgingFemaleHumansInsulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor ILinear ModelsMaleMiddle AgedMinnesotaProspective StudiesSex FactorsInsulin-Like Growth Factor Binding Protein 3Insulin-Like Growth Factor IAgeInsulin-like growth factor 1Insulin-like growth factor binding protein 3

Identifiers

PMID29474865
PMCPMC5911407
OpenAlexW2793007905

What OpenQuestion holds

Textmetadata
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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.