Literature DB >> 19550312

Mechanisms of insulin resistance assessed by dynamic in-vivo positron emission tomography imaging.

Jason M Ng1, David E Kelley, Bret H Goodpaster.   

Abstract

PURPOSE OF REVIEW: Skeletal muscle insulin resistance is a hallmark characteristic of type 2 diabetes, although the exact causes of insulin resistance are unknown. In-vivo methods to assess mechanisms that determine insulin resistance in humans are critical to improve our understanding of insulin resistance in obesity and type 2 diabetes. In this review, we examine recent studies utilizing dynamic in-vivo PET imaging in assessing insulin resistance in humans. RECENT
FINDINGS: PET imaging of glucose metabolism in vivo has revealed novel and important information about the regulation of glucose metabolism in skeletal muscle. Using dynamic PET imaging, studies have impairments in glucose metabolism at multiple sites, including delivery, phosphorylation, and transport within skeletal muscle. Impairments in glucose phosphorylation as well as glucose transport defects may play an important role in understanding the disorder of skeletal muscle insulin resistance.
SUMMARY: PET imaging has great potential to yield significant and promising insight into insulin resistance in skeletal muscle. Dynamic in-vivo PET imaging can provide valuable information regarding the mechanisms and specific loci of skeletal muscle insulin resistance in humans.

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Year:  2009        PMID: 19550312     DOI: 10.1097/MCO.0b013e32832eb59a

Source DB:  PubMed          Journal:  Curr Opin Clin Nutr Metab Care        ISSN: 1363-1950            Impact factor:   4.294


  2 in total

1.  A new Michaelis-Menten-based kinetic model for transport and phosphorylation of glucose and its analogs in skeletal muscle.

Authors:  Hsuan-Ming Huang; Faramarz Ismail-Beigi; Raymond F Muzic
Journal:  Med Phys       Date:  2011-08       Impact factor: 4.071

2.  Hyperglycemia-induced stimulation of glucose transport in skeletal muscle measured by PET-[18F]6FDG and [18F]2FDG.

Authors:  Hsuan-Ming Huang; Visvanathan Chandramouli; Faramarz Ismail-Beigi; Raymond F Muzic
Journal:  Physiol Meas       Date:  2012-09-18       Impact factor: 2.833

  2 in total

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