Literature DB >> 18971370

Mechanism-based modeling of nutritional and leptin influences on growth in normal and type 2 diabetic rats.

Cornelia B Landersdorfer1, Debra C DuBois, Richard R Almon, William J Jusko.   

Abstract

Influences of genetic and nutritional factors on body weight, fat mass, and leptin production and effects of leptin were assessed in normal [Wistar-Kyoto (WKY)] and diabetic [Goto-Kakizaki (GK)] rats by mechanism-based modeling. The study included 60 WKY and 60 GK rats; half received high-fat diet (HF), and the others received normal rat chow (N). Body weights and food consumption were measured twice weekly. Six rats per group were sacrificed at 4, 8, 12, 16, and 20 weeks. Abdominal fat was weighed, and plasma leptin was measured by enzyme-linked immunosorbent assay. All data were comodeled using NONMEM version VI level 1.1 (first-order conditional estimation with interaction) (Beal SL, Boeckmann AJ, Sheiner LB, and NONMEM Project Group, NONMEM Users Guides, University of California, San Francisco, CA, 2007). Weight gain was modeled as differences between energy intake and metabolic rate based on allometrically scaled lean body mass (LBM). The GK had higher metabolic rates (1.15 kcal/day/g LBM(0.75)) than WKY-N (0.92) and WKY-HF (1.02) rats and higher efficiency in transforming energy into body weight. Leptin effect was modeled as inhibition of food consumption. Total body fat was estimated from abdominal fat. Leptin production from fat was 4.7-fold higher for GK (3.03 ng/ml/day/g) than WKY (0.66 ng/ml/day/g). Leptin production rate from LBM was 0.53 ng/ml/day/g for all groups. The IC(50) for inhibition of food intake by leptin was approximately 3-fold higher in GK versus WKY, indicating leptin resistance for the effect on food consumption in GK. The GK had similar intake of kilocalories but lower body weights and fat mass than WKY, possibly because of higher metabolic rates. Our mechanism-based model explains intrinsic reasons for differences in growth, food intake, and leptin concentrations among these two strains of rats.

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Year:  2008        PMID: 18971370     DOI: 10.1124/jpet.108.144766

Source DB:  PubMed          Journal:  J Pharmacol Exp Ther        ISSN: 0022-3565            Impact factor:   4.030


  8 in total

1.  Development of a new pre- and post-processing tool (SADAPT-TRAN) for nonlinear mixed-effects modeling in S-ADAPT.

Authors:  Jurgen Bernd Bulitta; Ayhan Bingölbali; Beom Soo Shin; Cornelia Barbara Landersdorfer
Journal:  AAPS J       Date:  2011-03-03       Impact factor: 4.009

2.  Performance and robustness of the Monte Carlo importance sampling algorithm using parallelized S-ADAPT for basic and complex mechanistic models.

Authors:  Jurgen B Bulitta; Cornelia B Landersdorfer
Journal:  AAPS J       Date:  2011-03-04       Impact factor: 4.009

3.  Modeling disease progression and rosiglitazone intervention in type 2 diabetic Goto-Kakizaki rats.

Authors:  Wei Gao; William J Jusko
Journal:  J Pharmacol Exp Ther       Date:  2012-02-29       Impact factor: 4.030

4.  Mechanism-based disease progression modeling of type 2 diabetes in Goto-Kakizaki rats.

Authors:  Wei Gao; Sébastien Bihorel; Debra C DuBois; Richard R Almon; William J Jusko
Journal:  J Pharmacokinet Pharmacodyn       Date:  2010-12-03       Impact factor: 2.745

5.  A modeling approach for compounds affecting body composition.

Authors:  Peter Gennemark; Rasmus Jansson-Löfmark; Gina Hyberg; Maria Wigstrand; Dorota Kakol-Palm; Pernilla Håkansson; Daniel Hovdal; Peter Brodin; Maria Fritsch-Fredin; Madeleine Antonsson; Karolina Ploj; Johan Gabrielsson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-10-25       Impact factor: 2.745

6.  Modeling diabetes disease progression and salsalate intervention in Goto-Kakizaki rats.

Authors:  Yanguang Cao; Debra C Dubois; Hao Sun; Richard R Almon; William J Jusko
Journal:  J Pharmacol Exp Ther       Date:  2011-09-08       Impact factor: 4.030

7.  Dynamic modeling of methylprednisolone effects on body weight and glucose regulation in rats.

Authors:  Jing Fang; Debra C DuBois; Yang He; Richard R Almon; William J Jusko
Journal:  J Pharmacokinet Pharmacodyn       Date:  2011-03-11       Impact factor: 2.745

Review 8.  Relationship between Immunological Abnormalities in Rat Models of Diabetes Mellitus and the Amplification Circuits for Diabetes.

Authors:  Yuji Takeda; Tomoko Shimomura; Hironobu Asao; Ichiro Wakabayashi
Journal:  J Diabetes Res       Date:  2017-02-19       Impact factor: 4.011

  8 in total

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