Generic placeholder image

Current Molecular Medicine

Editor-in-Chief

ISSN (Print): 1566-5240
ISSN (Online): 1875-5666

The Fatty Liver and Insulin Resistance

Author(s): H. Yki-Jarvinen and J. Westerbacka

Volume 5, Issue 3, 2005

Page: [287 - 295] Pages: 9

DOI: 10.2174/1566524053766031

Price: $65

Abstract

Obesity is not necessary to observe insulin resistance in humans since severe insulin resistance also characterizes patients lacking subcutaneous fat such as those with HAART (highlyactive antiretroviral therapy) - associated lipodystrophy. Both the obese and the lipodystrophic patients have, however, an increase in the amount of fat hidden in the liver. Liver fat content can be non-invasively accurately quantified by proton magnetic resonance spectroscopy. It is closely correlated with fasting insulin and direct measures of hepatic insulin sensitivity while the amount of subcutaneous adipose tissue is not. The causes of interindividual variation in liver fat content independent of obesity are largely unknown but could involve differences in signals from adipose tissue such as in the amount of adiponectin produced and differences in fat intake. Adiponectin deficiency characterizes both lipodystrophic and obese insulin resistant individuals, and serum levels correlate with liver fat content. Liver fat content can be decreased by weight loss. In addition, treatment of both lipodystrophic and type 2 diabetic patients with PPARγ agonists but not metformin decreases liver fat and increases adiponectin levels. Markers of liver fat such as serum alanine aminotransferase activity have been shown to predict type 2 diabetes in several studies independent of obesity. The fatty liver thus may help to explain why some but not all obese individuals are insulin resistant and why even lean individuals may be insulin resistant, and thereby at risk of developing type 2 diabetes and cardiovascular disease.

Keywords: proton spectroscopy, magnetic resonance imaging, hypertriglyceridemia, glucose


Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy