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Evaluating the evidence for macrophage presence in skeletal muscle and its relation to insulin resistance in obese mice and humans: a systematic review protocol

Overview of attention for article published in BMC Research Notes, August 2017
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Title
Evaluating the evidence for macrophage presence in skeletal muscle and its relation to insulin resistance in obese mice and humans: a systematic review protocol
Published in
BMC Research Notes, August 2017
DOI 10.1186/s13104-017-2686-6
Pubmed ID
Authors

Meha Bhatt, Srikesh Rudrapatna, Laura Banfield, Rachel Bierbrier, Pei-Wen Wang, Kuan-Wen Wang, Lehana Thabane, M. Constantine Samaan

Abstract

The current global rates of obesity and type 2 diabetes are staggering. In order to implement effective management strategies, it is imperative to understand the mechanisms of obesity-induced insulin resistance and diabetes. Macrophage infiltration and inflammation of the adipose tissue in obesity is a well-established paradigm, yet the role of macrophages in muscle inflammation, insulin resistance and diabetes is not adequately studied. In this systematic review, we will examine the evidence for the presence of macrophages in skeletal muscle of obese humans and mice, and will assess the association between muscle macrophages and insulin resistance. We will identify published studies that address muscle macrophage content and phenotype, and its association with insulin resistance. We will search MEDLINE/PubMed, EMBASE, and Web of Science for eligible studies. Grey literature will be searched in ProQuest. Quality assessment will be conducted using the Systematic Review Centre for Laboratory Animal Experimentation risk of bias Tool for animal studies. The findings of this systematic review will shed light on immune-metabolic crosstalk in obesity, and allow the consideration of targeted therapies to modulate muscle macrophages in the treatment and prevention of diabetes. The review will be published in a peer-reviewed journal and presented at conferences.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 20%
Student > Bachelor 7 20%
Researcher 4 11%
Librarian 3 9%
Student > Ph. D. Student 2 6%
Other 3 9%
Unknown 9 26%
Readers by discipline Count As %
Medicine and Dentistry 8 23%
Biochemistry, Genetics and Molecular Biology 5 14%
Nursing and Health Professions 5 14%
Psychology 2 6%
Arts and Humanities 1 3%
Other 2 6%
Unknown 12 34%