Evidence map›Paper›PMID 34223880›Full record

ReviewEndocrinology2022

Adipocyte Heterogeneity Underlying Adipose Tissue Functions.

Zinger Yang Loureiro, Javier Solivan-Rivera, Silvia Corvera

Open access · bronzeAbstract readReview
In one paragraph

Review in Endocrinology, 2022. 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
3.0field-weighted citation impact, top 8% 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, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Macrophage and T cell networks in adipose tissue.Nature reviews. Endocrinology · 2024
    Review
  14. Article
  15. Adipose 'neighborhoods' collaborate to maintain metabolic health.Current opinion in genetics & development · 2023
    Review
  16. Review
  17. Review
  18. Article
  19. Review
  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

3 authors at 1 institution in 1 country.

Zinger Yang LoureiroProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01655,USA.ORCID 0000-0001-8543-4841
Javier Solivan-RiveraProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01655,USA.
Silvia CorveraProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01655,USA.ORCID 0000-0002-0009-4129
University of Massachusetts Chan Medical School · US

Funding

Adipose Tissue Angiogenesis and Metabolic DiseaseR01DK089101 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI CORVERA, SILVIA · 2011 to 2024
$5.7M
Mechanisms of human adipose tissue development and impact of diabetesR01DK123028 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Silvia Corvera · 2019 to 2026
$3.6M
NIDDK NIH HHS R01 DK089101NIDDK NIH HHS R01 DK123028
6 · The paper itself

Abstract

Adipose tissue distribution in the human body is highly heterogeneous, and the relative mass of different depots is differentially associated with metabolic disease risk. Distinct functions of adipose depots are mediated by their content of specialized adipocyte subtypes, best exemplified by thermogenic adipocytes found in specific depots. Single-cell transcriptome profiling has been used to define the cellular composition of many tissues and organs, but the large size, buoyancy, and fragility of adipocytes have rendered it challenging to apply these techniques to understand the full complexity of adipocyte subtypes in different depots. Discussed here are strategies that have been recently developed for investigating adipocyte heterogeneity, including single-cell RNA-sequencing profiling of the stromal vascular fraction to identify diverse adipocyte progenitors, and single-nuclei profiling to characterize mature adipocytes. These efforts are yielding a more complete characterization of adipocyte subtypes in different depots, insights into the mechanisms of their development, and perturbations associated with different physiological states such as obesity. A better understanding of the adipocyte subtypes that compose different depots will help explain metabolic disease phenotypes associated with adipose tissue distribution and suggest new strategies for improving metabolic health.

Indexed as

AdipocytesAdipogenesisAdipose TissueAdipose Tissue, BeigeAdipose Tissue, BrownAdipose Tissue, WhiteAnimalsBody HeightBody Mass IndexBody WeightCell DifferentiationCell SeparationHumansMiceSingle-Cell AnalysisStem Cells

Identifiers

PMID34223880
PMCPMC8660558
OpenAlexW3177903388

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.