Usage Information

Leptin reverses insulin resistance and hepatic steatosis in patients with severe lipodystrophy
Kitt Falk Petersen, … , Phillip Gorden, Gerald I. Shulman
Kitt Falk Petersen, … , Phillip Gorden, Gerald I. Shulman
Published May 15, 2002
Citation Information: J Clin Invest. 2002;109(10):1345-1350. https://doi.org/10.1172/JCI15001.
View: Text | PDF
Article Endocrinology

Leptin reverses insulin resistance and hepatic steatosis in patients with severe lipodystrophy

Abstract

Lipodystrophy is a rare disorder that is characterized by selective loss of subcutaneous and visceral fat and is associated with hypertriglyceridemia, hepatomegaly, and disordered glucose metabolism. It has recently been shown that chronic leptin treatment ameliorates these abnormalities. Here we show that chronic leptin treatment improves insulin-stimulated hepatic and peripheral glucose metabolism in severely insulin-resistant lipodystrophic patients. This improvement in insulin action was associated with a marked reduction in hepatic and muscle triglyceride content. These data suggest that leptin may represent an important new therapy to reverse the severe hepatic and muscle insulin resistance and associated hepatic steatosis in patients with lipodystrophy.

Authors

Kitt Falk Petersen, Elif Arioglu Oral, Sylvie Dufour, Douglas Befroy, Charlotte Ariyan, Chunli Yu, Gary W. Cline, Alex M. DePaoli, Simeon I. Taylor, Phillip Gorden, Gerald I. Shulman

×

Usage data is cumulative from January 2024 through January 2025.

Usage JCI PMC
Text version 871 109
PDF 134 65
Figure 272 11
Table 51 0
Citation downloads 68 0
Totals 1,396 185
Total Views 1,581
(Click and drag on plot area to zoom in. Click legend items above to toggle)

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.

Advertisement