Usage Information

Insulin resistance in the vasculature
Kieren J. Mather, … , Helmut O. Steinberg, Alain D. Baron
Kieren J. Mather, … , Helmut O. Steinberg, Alain D. Baron
Published March 1, 2013
Citation Information: J Clin Invest. 2013;123(3):1003-1004. https://doi.org/10.1172/JCI67166.
View: Text | PDF
Hindsight Article has an altmetric score of 4

Insulin resistance in the vasculature

Abstract

Insulin resistance is typically defined as a reduced ability of insulin to induce glucose uptake by target tissues such as fat and skeletal muscle cells. It accompanies several disease states, including obesity, type 2 diabetes, hepatitis C, and polycystic ovary syndrome, and is a primary feature of metabolic syndrome. Outside of its effects on blood glucose levels, insulin resistance is also associated with a 2- to 3-fold increased risk of cardiovascular mortality. In 1996, Alain Baron, Helmut Steinberg, and colleagues demonstrated that insulin resistance is associated with endothelial dysfunction. This seminal observation led to significant advances in our understanding of insulin’s action in health and disease.

Authors

Kieren J. Mather, Helmut O. Steinberg, Alain D. Baron

×

Usage data is cumulative from May 2024 through May 2025.

Usage JCI PMC
Text version 482 83
PDF 80 30
Figure 72 2
Citation downloads 68 0
Totals 702 115
Total Views 817
(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