Evidence map›Paper›PMID 26805607›Full record

ArticleExperimental gerontology2016

A longitudinal analysis of the effects of age on the blood plasma metabolome in the common marmoset, Callithrix jacchus.

Jessica M Hoffman, ViLinh Tran, Lynn M Wachtman, Cara L Green, Dean P Jones, Daniel E L Promislow

Open access · greenAbstract read
In one paragraph

Article in Experimental gerontology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Non-human primates as a model for aging.Biochimica et biophysica acta. Molecular basis of disease · 2018
    Review
  17. Review
  18. Article
  19. Review
  20. 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

6 authors at 5 institutions in 2 countries.

Jessica M HoffmanDepartment of Genetics, University of Georgia, 120 Green Street, Athens, GA 30602, USA. Electronic address: jmhoffm@uab.edu.
ViLinh TranDivision of Pulmonary Allergy and Critical Care, Department of Medicine, Emory University, 615 Michael Street, Suite 225, Atlanta, GA 30322,USA; Clinical Biomarkers Laboratory, Department of Medicine, Emory University, 615 Michael Street, Suite 225, Atlanta, GA 30322,USA.
Lynn M WachtmanNew England Primate Research Center, Harvard University, 1 Pinehill Rd, Southborough, MA 10772, USA.
Cara L GreenInstitute of Biological and Environmental Sciences, University of Aberdeen, Tillydrone Avenue, Aberdeen, Scotland, UK.
Dean P JonesDivision of Pulmonary Allergy and Critical Care, Department of Medicine, Emory University, 615 Michael Street, Suite 225, Atlanta, GA 30322,USA; Clinical Biomarkers Laboratory, Department of Medicine, Emory University, 615 Michael Street, Suite 225, Atlanta, GA 30322,USA.
Daniel E L PromislowDepartment of Pathology, University of Washington, 1959 NE Pacific Street, Seattle, WA 98195, USA; Department of Biology, University of Washington, 1959 NE Pacific Street, Seattle, WA 98195, USA.
Emory University · USHarvard University · USUniversity of Aberdeen · GBUniversity of Georgia · USUniversity of Washington · US

Funding

SPECIFICITY OF OXYGEN DNA DAMAGE AND MUTAGENESISP01AG001751 · NIA · UNIVERSITY OF WASHINGTON · PI PRUSKY, GLEN THOMAS · 1985 to 2021
$29.6M
University of Washington Nathan Shock Center of Excellence in the Basic Biology of AgingP30AG013280 · NIA · UNIVERSITY OF WASHINGTON · PI Michael MacCoss · 1995 to 2026
$27.1M
T32 Predoctoral training grant in geneticsT32GM007103 · NIGMS · UNIVERSITY OF GEORGIA (UGA) · PI DYER, KELLY A · 1985 to 2021
$5.9M
A metabolomic model of aging in the common marmosetR01AG038746 · NIA · EMORY UNIVERSITY · PI JONES, DEAN PAUL, PROMISLOW, DANIEL EDWARD · 2010 to 2014
$2.5M
Orbitrap Elite/H-ESI BundleS10OD018006 · OD · EMORY UNIVERSITY · PI JONES, DEAN PAUL · 2014 to 2014
$600k
NIA NIH HHS AG038746NIA NIH HHS P01 AG001751NIA NIH HHS P30 AG013280NIA NIH HHS R01 AG038746NIGMS NIH HHS T32 GM007103NIGMS NIH HHS T32GM007103NIH HHS S10 OD018006
6 · The paper itself

Abstract

Primates tend to be long-lived for their size with humans being the longest lived of all primates. There are compelling reasons to understand the underlying age-related processes that shape human lifespan. But the very fact of our long lifespan that makes it so compelling, also makes it especially difficult to study. Thus, in studies of aging, researchers have turned to non-human primate models, including chimpanzees, baboons, and rhesus macaques. More recently, the common marmoset, Callithrix jacchus, has been recognized as a particularly valuable model in studies of aging, given its small size, ease of housing in captivity, and relatively short lifespan. However, little is known about the physiological changes that occur as marmosets age. To begin to fill in this gap, we utilized high sensitivity metabolomics to define the longitudinal biochemical changes associated with age in the common marmoset. We measured 2104 metabolites from blood plasma at three separate time points over a 17-month period, and we completed both a cross-sectional and longitudinal analysis of the metabolome. We discovered hundreds of metabolites associated with age and body weight in both male and female animals. Our longitudinal analysis identified age-associated metabolic pathways that were not found in our cross-sectional analysis. Pathways enriched for age-associated metabolites included tryptophan, nucleotide, and xenobiotic metabolism, suggesting these biochemical pathways might play an important role in the basic mechanisms of aging in primates. Moreover, we found that many metabolic pathways associated with age were sex specific. Our work illustrates the power of longitudinal approaches, even in a short time frame, to discover novel biochemical changes that occur with age.

Indexed as

MetabolomeAge FactorsAgingAnimalsBiomarkersBody WeightCallithrixFemaleLongevityMaleMetabolomicsSex FactorsBiomarkersAgingBody weightLongitudinalMarmosetMetabolic pathwaysMetabolomics

Identifiers

PMID26805607
PMCPMC4775367
OpenAlexW2264828847

What OpenQuestion holds

Textmetadata
LicenceTDM
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.