Evidence map›Paper›PMID 24579699›Full record

ReviewCritical reviews in immunology2014

Changes in adipose tissue macrophages and T cells during aging.

Sanjay K Garg, Colin Delaney, Hang Shi, Raymond Yung

Open access · greenAbstract readReview
In one paragraph

Review in Critical reviews in immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

51 citing papers in PubMed, 74 citations in OpenAlex.

  1. Article
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  3. Review
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  7. The glucose transporter GLUT12, a new actor in obesity and cancer.Journal of physiology and biochemistry · 2025
    Review
  8. Article
  9. Article
  10. Article
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  12. Weighing in on the role of brown adipose tissue for treatment of obesity.Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
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  20. Transient early life growth hormone exposure permanently alters brain, muscle, liver, macrophage, and adipocyte status in long-lived Ames dwarf mice.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2022
    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

4 authors at 1 institution in 1 country.

Sanjay K GargDepartment of Internal Medicine, University of Michigan School of Medicine, Ann Arbor, Michigan.
Colin DelaneyDepartment of Internal Medicine, University of Michigan School of Medicine, Ann Arbor, Michigan.
Hang ShiDepartment of Internal Medicine, University of Michigan School of Medicine, Ann Arbor, Michigan.
Raymond YungDepartment of Internal Medicine, University of Michigan School of Medicine, Ann Arbor, Michigan.
University of Michigan–Ann Arbor · US

Funding

Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Neil Alexander · 2004 to 2026
$29.2M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Leukocyte-Endothelial Cell Interaction in AgingR01AG020628 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YUNG, RAYMOND L · 2003 to 2014
$3.2M
Molecular Regulation of CC Chemokine in Atherosclerosis and AgingR01AG028268 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YUNG, RAYMOND L · 2006 to 2010
$1.6M
Leukocyte-endothelial cell interaction in agingR56AG020628 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YUNG, RAYMOND L · 2009 to 2009
$374k
NIA NIH HHS AG020628NIA NIH HHS AG028268NIA NIH HHS P30 AG024824NIA NIH HHS R01 AG020628NIA NIH HHS R01 AG028268NIA NIH HHS R56 AG020628NIEHS NIH HHS P30 ES017885
6 · The paper itself

Abstract

Adipose tissue historically was believed to be an inert tissue, functioning primarily in the storage of energy and thermal homeostasis. However, recent discoveries point toward a critical role for adipocytes in endocrine function as well as immune regulation. Excess body fat, accumulated through aging and/or a calorie-rich diet, is associated with many chronic metabolic and inflammatory diseases. Within the stromal vascular fraction of adipose tissue, macrophages and T cells accumulate with increasing tissue mass, secreting pro- or anti-inflammatory cytokines. In this review we discuss the current understanding of immune cell function in both diet-induced and age-related obesity. In both models of obesity, the classically activated, pro-inflammatory (M1) subtype takes precedence over the alternatively activated, anti-inflammatory (M2) macrophages, causing tissue necrosis and releasing pro-inflammatory cytokines like interleukin-6. Other distinct adipose tissue macrophage subtypes have been identified by surface marker expression and their functions characterized. Adipose tissue T cell recruitment to adipose tissue is also different between aging- and diet-induced obesity. Under both conditions, T cells exhibit restricted T-cell receptor diversity and produce higher levels of pro-inflammatory signals like interferon-γ and granzyme B relative to young or healthy mice. However, numbers of regulatory T cells are dramatically different between the 2 models of obesity. Taken together, these findings suggest models of age- and diet-induced obesity may be more distinct than previously thought, with many questions yet to be resolved in this multidimensional disease.

Indexed as

Adipose TissueAgingAnimalsCytokinesHumansInflammation MediatorsMacrophagesMiceObesityT-LymphocytesCytokinesInflammation Mediators

Identifiers

PMID24579699
PMCPMC3942798
OpenAlexW2026468620

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.