Literature DB >> 7589822

Characterization of insulin resistance and NIDDM in transgenic mice with reduced brown fat.

A Hamann1, H Benecke, Y Le Marchand-Brustel, V S Susulic, B B Lowell, J S Flier.   

Abstract

We recently created a new model of murine obesity through transgenic ablation of brown adipose tissue (BAT) using a tissue-specific toxigene (6). The goal of the present study was to further define the altered glucose homeostasis and insulin resistance in these transgenic animals. Despite an approximately 30% increase in total body lipid, no abnormalities were observed in 6-week-old transgenic animals. At the age of 22-26 weeks, marked obesity in transgenic mice was associated with significant increases in blood glucose and plasma insulin levels and an abnormal response to both intraperitoneal glucose and insulin tolerance tests. Glucose transport in soleus muscle was reduced, with the response to insulin stimulation blunted by up to 85% in males and 55% in females. The total number of insulin receptors was decreased by 36% in muscle and 59% in adipose tissue of transgenic animals. Insulin receptor tyrosine kinase activity, which was assessed following maximal insulin stimulation in vivo, was reduced in transgenic animals by 59% in muscle and 56% in fat. GLUT4 mRNA and protein was unchanged in muscle of transgenic animals compared with in that of controls but was significantly reduced in adipose tissue. In conclusion, primary BAT deficiency results in the development of glucose intolerance or diabetes and severe insulin resistance with both receptor and postreceptor components. These animals should be a useful model for studies of obesity-linked diabetes and insulin resistance and related complications.

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Year:  1995        PMID: 7589822     DOI: 10.2337/diab.44.11.1266

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  17 in total

Review 1.  Obesity, Oxidative Stress, Adipose Tissue Dysfunction, and the Associated Health Risks: Causes and Therapeutic Strategies.

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2.  Thiazolidinediones block tumor necrosis factor-alpha-induced inhibition of insulin signaling.

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Review 3.  Adipocyte lipolysis: from molecular mechanisms of regulation to disease and therapeutics.

Authors:  Alexander Yang; Emilio P Mottillo
Journal:  Biochem J       Date:  2020-03-13       Impact factor: 3.857

4.  Genetic manipulation of insulin action and beta-cell function in mice.

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Journal:  Mol Cell Biochem       Date:  1998-05       Impact factor: 3.396

5.  Overexpression of glutamine:fructose-6-phosphate amidotransferase in transgenic mice leads to insulin resistance.

Authors:  L F Hebert; M C Daniels; J Zhou; E D Crook; R L Turner; S T Simmons; J L Neidigh; J S Zhu; A D Baron; D A McClain
Journal:  J Clin Invest       Date:  1996-08-15       Impact factor: 14.808

6.  Tumor necrosis factor-alpha contributes to obesity-related hyperleptinemia by regulating leptin release from adipocytes.

Authors:  T G Kirchgessner; K T Uysal; S M Wiesbrock; M W Marino; G S Hotamisligil
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7.  Detecting brown adipose tissue activity with BOLD MRI in mice.

Authors:  Arjun Khanna; Rosa T Branca
Journal:  Magn Reson Med       Date:  2012-01-09       Impact factor: 4.668

8.  Opposing effects of tumour necrosis factor alpha and hyperosmolarity on Na+/myo-inositol co-transporter mRNA levels and myo-inositol accumulation by 3T3-L1 adipocytes.

Authors:  M A Yorek; J A Dunlap; W L Lowe
Journal:  Biochem J       Date:  1998-12-01       Impact factor: 3.857

Review 9.  The polymorphisms of UCP1 genes associated with fat metabolism, obesity and diabetes.

Authors:  Jun-jing Jia; Yun-bo Tian; Zhen-hui Cao; Lin-li Tao; Xi Zhang; Si-zhen Gao; Chang-rong Ge; Qiu-Ye Lin; M Jois
Journal:  Mol Biol Rep       Date:  2009-05-15       Impact factor: 2.316

10.  Insulin resistance and diabetes mellitus in transgenic mice expressing nuclear SREBP-1c in adipose tissue: model for congenital generalized lipodystrophy.

Authors:  I Shimomura; R E Hammer; J A Richardson; S Ikemoto; Y Bashmakov; J L Goldstein; M S Brown
Journal:  Genes Dev       Date:  1998-10-15       Impact factor: 11.361

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