Dissipating excess energy stored in the liver is a potential treatment strategy for diabetes associated with obesity

Yasushi Ishigaki, Hideki Katagiri, Tetsuya Yamada, Takehide Ogihara, Junta Imai, Kenji Uno, Yutaka Hasegawa, Junhong Gao, Hisamitsu Ishihara, Tooru Shimosegawa, Hideyuki Sakoda, Tomoichiro Asano, Yoshitomo Oka

Research output: Contribution to journalReview articlepeer-review

66 Citations (Scopus)


For examining whether dissipating excess energy in the liver is a possible therapeutic approach to high-fat diet-induced metabolic disorders, uncoupling protein-1 (UCP1) was expressed in murine liver using adenoviral vectors in mice with high-fat diet-induced diabetes and obesity, and in standard diet-fed lean mice. Once diabetes with obesity developed, hepatic UCP1 expression increased energy expenditure, decreased body weight, and reduced fat in the liver and adipose tissues, resulting in markedly improved insulin resistance and, thus, diabetes and dyslipidemia. Decreased expressions of enzymes for lipid synthesis and glucose production and activation of AMP-activated kinase in the liver seem to contribute to these improvements. Hepatic UCP1 expression also reversed high-fat diet-induced hyperphagia and hypothalamic leptin resistance, as well as insulin resistance in muscle. In contrast, intriguingly, in standard diet-fed lean mice, hepatic UCP1 expression did not significantly affect energy expenditure or hepatic ATP contents. Furthermore, no alterations in blood glucose levels, body weight, or adiposity were observed. These findings suggest that ectopic UCP1 in the liver dissipates surplus energy without affecting required energy and exerts minimal metabolic effects in lean mice. Thus, enhanced UCP expression in the liver is a new potential therapeutic target for the metabolic syndrome.

Original languageEnglish
Pages (from-to)322-332
Number of pages11
Issue number2
Publication statusPublished - 2005 Feb


Dive into the research topics of 'Dissipating excess energy stored in the liver is a potential treatment strategy for diabetes associated with obesity'. Together they form a unique fingerprint.

Cite this