Usage Information
Citation Information: J Clin Invest. 2004;113(5):756-763. https://doi.org/10.1172/JCI18917.
Abstract
Insulin resistance in skeletal muscle plays a major role in the development of type 2 diabetes and may be causally associated with increases in intramuscular fatty acid metabolites. Fatty acid transport protein 1 (FATP1) is an acyl-CoA synthetase highly expressed in skeletal muscle and modulates fatty acid uptake and metabolism by converting fatty acids into fatty acyl-CoA. To investigate the role of FATP1 in glucose homeostasis and in the pathogenesis of insulin resistance, we examined the effect of acute lipid infusion or chronic high-fat feeding on insulin action in FATP1 KO mice. Whole-body adiposity, adipose tissue expression of adiponectin, intramuscular fatty acid metabolites, and insulin sensitivity were not altered in FATP1 KO mice fed a regular chow diet. In contrast, FATP1 deletion protected the KO mice from fat-induced insulin resistance and intramuscular accumulation of fatty acyl-CoA without alteration in whole-body adiposity. These findings demonstrate an important role of intramuscular fatty acid metabolites in causing insulin resistance and suggest that FATP1 may be a novel therapeutic target for the treatment of insulin resistance and type 2 diabetes.
Authors
Jason K. Kim, Ruth E. Gimeno, Takamasa Higashimori, Hyo-Jeong Kim, Hyejeong Choi, Sandhya Punreddy, Robin L. Mozell, Guo Tan, Alain Stricker-Krongrad, David J. Hirsch, Jonathan J. Fillmore, Zhen-Xiang Liu, Jianying Dong, Gary Cline, Andreas Stahl, Harvey F. Lodish, Gerald I. Shulman
Usage data is cumulative from December 2018 through December 2019.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 599 | 74 |
| 55 | 74 | |
| Figure | 95 | 0 |
| Table | 13 | 0 |
| Supplemental data | 0 | 3 |
| Citation downloads | 24 | 0 |
| Totals | 786 | 151 |
| Total Views | 937 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.
Copyright © 2019 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)