Evidence map›Paper›PMID 22761161›Full record

ArticleAmerican journal of physiology. Endocrinology and metabolism2012

Abdominal fat analyzed by DEXA scan reflects visceral body fat and improves the phenotype description and the assessment of metabolic risk in mice.

Weiyi Chen, Jenny L Wilson, Mohammad Khaksari, Michael A Cowley, Pablo J Enriori

Abstract readComparative StudyValidation Study
In one paragraph

Article in American journal of physiology. Endocrinology and metabolism, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Review
  6. Article
  7. Article
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  12. The imprintedeLife · 2022
    Article
  13. Advanced Molecular Imaging (MRI/MRS/Life (Basel, Switzerland) · 2021
    Article
  14. Review
  15. Article
  16. Article
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  18. Article
  19. Transgenerational effects of maternal bisphenol: a exposure on offspring metabolic health.Journal of developmental origins of health and disease · 2019
    Article
  20. Waist height ratio predicts chronic kidney disease: a systematic review and meta-analysis, 1998-2019.Archives of public health = Archives belges de sante publique · 2019
    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

5 authors at 1 institution in 1 country.

Weiyi ChenDepartment of Physiology, Faculty of Medicine, Monash University, Melbourne, Victoria, Australia.
Jenny L Wilson
Mohammad Khaksari
Michael A Cowley
Pablo J Enriori
Monash University · AU

Funding

YR 50 PROJ- ROBERTS PRIMATE ISLETP51RR000163 · NCRR · OREGON REGIONAL PRIMATE RESEARCH CENTER · PI PICKER, LOUIS J. · 1985 to 2011
$140.8M
Mechanism of Neuronal Regulation by Leptin and InsulinR01DK062202 · NIDDK · OREGON HEALTH & SCIENCE UNIVERSITY · PI COWLEY, MICHAEL A · 2002 to 2006
$1.5M
Mechanisms of Neuronal Regulation by Leptin and InsulinR56DK062202 · NIDDK · OREGON HEALTH & SCIENCE UNIVERSITY · PI COWLEY, MICHAEL A · 2007 to 2007
$154k
NCRR NIH HHS RR-0163NIDDK NIH HHS DK-62202
6 · The paper itself

Abstract

Clinical studies have demonstrated a strong relationship between visceral fat content and metabolic diseases, such as type 2 diabetes and liver steatosis. Obese mouse models are an excellent tool to study metabolic diseases; however, there are limited methods for the noninvasive measurement of fat distribution in mice. Although micromagnetic resonance imaging and microcomputed tomography are the "gold standards" in the measurement of fat distribution, more economical and accessible methods are required. Dual energy X-ray absorptiometry (DEXA) is an effective method in characterizing fat content; however, it cannot discriminate between visceral and subcutaneous fat depots. We demonstrate that an evaluation of abdominal fat content measured by DEXA through the selection of one localized abdominal area strongly correlates with visceral fat content in C57BL/6J mice. We found that DEXA is able to measure fat pad volume ex vivo with high accuracy; however, the measurement of visceral fat in vivo shows an overestimation caused by subcutaneous tissue interference. The overestimation is almost constant for a wide range of values, and thus it is possible to correct the data for a more accurate estimation of visceral fat content. We demonstrate the utility of this technique in characterizing phenotypes of several obese mouse models (ob/ob, db/db, MC4R-KO, and DIO) and evaluating the effect of treatments on visceral fat content in longitudinal studies. Additionally, we also establish abdominal obesity as a potential biomarker for metabolic abnormalities (liver fat accumulation, insulin resistance/diabetes) in mice, similar to that described in humans.

Indexed as

AdiposityDisease Models, AnimalAbsorptiometry, PhotonAnimalsFemaleInsulin ResistanceIntra-Abdominal FatLipid MetabolismLiverMaleMetabolic DiseasesMiceMice, Inbred StrainsMice, KnockoutMice, ObeseObesity, Abdominal

Identifiers

PMID22761161
PMCPMC3774326
OpenAlexW2166498016

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.