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A reliable, reproducible flow cytometry protocol for immune cell quantification in human adipose tissue.

Author(s): Delaney KZ, Dam V, Murphy J, Morais JA, Denis R, Atlas H, Pescarus R, Garneau PY, Santosa S...

The ability to accurately identify and quantify immune cell populations within adipose tissue is important in understanding the role of immune cells in metabolic disease risk. Flow cytometry is the...

Article GUID: 32926866

Acetyl-CoA regulation, OXPHOS integrity and leptin level are different in females with different onsets of obesity.

Author(s): Tam BT, Murphy J, Khor N, Morais JA, Santosa S

Although childhood-onset obesity (CO) and adult-onset obesity (AO) are known to lead to distinctive clinical manifestations and disease risks, the fundamental differences between them are largely unclear. The aim of the current study is to investigate the f...

Article GUID: 32808657

Intra-Abdominal Adipose Tissue Quantification by Alternative Versus Reference Methods: A Systematic Review and Meta-Analysis.

Author(s): Murphy J, Bacon SL, Morais JA, Tsoukas MA, Santosa S

Obesity (Silver Spring). 2019 May 27;: Authors: Murphy J, Bacon SL, Morais JA, Tsoukas MA, Santosa S

Article GUID: 31131996

Factors associated with adipocyte size reduction after weight loss interventions for overweight and obesity: a systematic review and meta-regression.

Author(s): Murphy J, Moullec G, Santosa S

Metabolism. 2017 Feb;67:31-40 Authors: Murphy J, Moullec G, Santosa S

Article GUID: 28081776


Title:Intra-Abdominal Adipose Tissue Quantification by Alternative Versus Reference Methods: A Systematic Review and Meta-Analysis.
Authors:Murphy JBacon SLMorais JATsoukas MASantosa S
Link:https://www.ncbi.nlm.nih.gov/pubmed/31131996?dopt=Abstract
DOI:10.1002/oby.22494
Category:Obesity (Silver Spring)
PMID:31131996
Dept Affiliation: PERFORM
1 Department of Health, Kinesiology and Applied Physiology, Concordia University, Montreal, Quebec, Canada.
2 Metabolism, Obesity and Nutrition Laboratory, PERFORM Centre, Concordia University, Montreal, Quebec, Canada.
3 Centre de recherche - Axe maladies chroniques, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada.
4 Montreal Behavioural Medicine Centre, Centre intégré universitaire de santé et de services sociaux du Nord-de-l'Ile-de-Montréal, Hôpital du Sacré-Coeur de Montréal, Montreal, Quebec, Canada.
5 Division of Geriatric Medicine, Department of Medicine, McGill University, Montreal, Quebec, Canada.
6 Division of Endocrinology and Metabolism, Department of Medicine, McGill University, Montreal, Quebec, Canada.

Description:

Intra-Abdominal Adipose Tissue Quantification by Alternative Versus Reference Methods: A Systematic Review and Meta-Analysis.

Obesity (Silver Spring). 2019 May 27;:

Authors: Murphy J, Bacon SL, Morais JA, Tsoukas MA, Santosa S

Abstract

OBJECTIVE: This meta-analysis aimed to assess the agreement between intra-abdominal adipose tissue (IAAT) quantified by alternative methods and the reference standards, computed tomography (CT) and magnetic resonance imaging (MRI).

METHODS: MEDLINE and EMBASE electronic databases were systematically searched to identify studies that quantified IAAT thickness, area, or volume by a comparator method and CT or MRI. Using an inverse variance weighted approach (random-effects model), the mean differences and 95% limits of agreement (LoA) were pooled between methods.

RESULTS: The meta-analysis included 24 studies using four comparator methods. The pooled mean differences were -0.3 cm (95% LoA: -3.4 to 3.2 cm; P?=?0.400) for ultrasound and -11.6 cm2 (95% LoA: -43.1 to 19.9 cm2 ; P?=?0.004) for bioelectrical impedance analysis. Dual-energy x-ray absorptiometry (DXA) quantified both IAAT area and volume with mean differences of 8.1 cm2 (95% LoA: -98.9 to 115.1 cm2 ; P?=?0.061) and 10 cm3 (95% LoA: -280 to 300 cm3 ; P?=?0.808), respectively.

CONCLUSIONS: Ultrasound and DXA measure IAAT with minimal bias from CT or MRI, while bioelectrical impedance analysis systematically underestimates IAAT. However, with the exception of DXA for IAAT volume, the wide LoA caution against clinical or research use of the comparator methods and emphasize the need to optimize alternatives to the reference standards.

PMID: 31131996 [PubMed - as supplied by publisher]