Evidence map›Paper›PMID 23684841›Full record

ReviewBiochimica et biophysica acta2014

Sex dimorphism and depot differences in adipose tissue function.

Ursula A White, Yourka D Tchoukalova

Abstract readReview
In one paragraph

Review in Biochimica et biophysica acta, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 156 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
156citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

156 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Precision or Paradox? AI-Driven Adiposity Imaging in Women With Overweight and Obesity: A Systematic Review and Meta-Analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
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96 more citing papers are in PubMed but not listed here.

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

2 authors.

Ursula A WhitePennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, USA.
Yourka D TchoukalovaPennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, USA. Electronic address: Yourka.Tchoukalova@pbrc.edu.

Funding

Cellular Dynamics of Subcutaneous Fat Distribution in Obese WomenR01DK090607 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI RAVUSSIN, ERIC · 2011 to 2015
$1.9M
NIDDK NIH HHS DK-090607NIDDK NIH HHS DK=090607-02NIDDK NIH HHS R01 DK090607
6 · The paper itself

Abstract

Obesity, characterized by excessive adiposity, is a risk factor for many metabolic pathologies, such as type 2 diabetes mellitus (T2DM). Numerous studies have shown that adipose tissue distribution may be a greater predictor of metabolic health. Upper-body fat (visceral and subcutaneous abdominal) is commonly associated with the unfavorable complications of obesity, while lower-body fat (gluteal-femoral) may be protective. Current research investigations are focused on analyzing the metabolic properties of adipose tissue, in order to better understand the mechanisms that regulate fat distribution in both men and women. This review will highlight the adipose tissue depot- and sex-dependent differences in white adipose tissue function, including adipogenesis, adipose tissue developmental patterning, the storage and release of fatty acids, and secretory function. This article is part of a Special Issue entitled: Modulation of Adipose Tissue in Health and Disease.

Indexed as

AdipogenesisAdipose TissueAnimalsBody CompositionDiabetes Mellitus, Type 2FemaleHumansMaleMiceObesitySex CharacteristicsSubcutaneous FatAdipogenesisAdipokineAdipose tissueFat distributionFatty acidsLipolysis

Identifiers

PMID23684841
PMCPMC3926193

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.