Literature DB >> 15616020

Genetic background determines the size and structure of the endocrine pancreas.

Troels Bock1, Bente Pakkenberg, Karsten Buschard.   

Abstract

Key parameters of the endocrine pancreas, such as islet number, islet mass, beta-cell mass, and alpha-cell mass, were studied in different strains of inbred mice to investigate the impact of genetic background on the size and structure of the endocrine pancreas. Six mice from each of seven different strains of inbred mice were included in the study. For all parameters investigated, there was a pronounced interstrain variation. ANCOVA showed that only mouse strain was statistically significant as an explanatory parameter for the number of islets. Mouse strain, body weight, and pancreas mass reached statistical significance as explanatory parameters for the islet mass, with mouse strain as the most significant predictor. These data show that genetic background is the most important predictor of both the number of islets and total islet volume. We also conclude that inbred mice could be a valuable resource to identify the genes responsible for the size and structure of the endocrine pancreas.

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Year:  2005        PMID: 15616020     DOI: 10.2337/diabetes.54.1.133

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


  37 in total

1.  Towards PET imaging of intact pancreatic beta cell mass: a transgenic strategy.

Authors:  Rebecca McGirr; Shirley Hu; Siu-Pok Yee; Michael S Kovacs; Ting-Yim Lee; Savita Dhanvantari
Journal:  Mol Imaging Biol       Date:  2011-10       Impact factor: 3.488

2.  An improved protocol for optical projection tomography imaging reveals lobular heterogeneities in pancreatic islet and β-cell mass distribution.

Authors:  Andreas Hörnblad; Abbas Cheddad; Ulf Ahlgren
Journal:  Islets       Date:  2011-07-01       Impact factor: 2.694

3.  Contribution of postnatally formed small beta cell aggregates to functional beta cell mass in adult rat pancreas.

Authors:  M Chintinne; G Stangé; B Denys; P In 't Veld; K Hellemans; M Pipeleers-Marichal; Z Ling; D Pipeleers
Journal:  Diabetologia       Date:  2010-07-20       Impact factor: 10.122

Review 4.  Efficient quantitative morphological phenotyping of genetically altered organisms using stereology.

Authors:  John Milton Lucocq
Journal:  Transgenic Res       Date:  2006-11-14       Impact factor: 2.788

5.  Ablation of the glucagon receptor gene increases fetal lethality and produces alterations in islet development and maturation.

Authors:  Patricia M Vuguin; Mamdouh H Kedees; Lingguang Cui; Yelena Guz; Richard W Gelling; Morris Nejathaim; Maureen J Charron; Gladys Teitelman
Journal:  Endocrinology       Date:  2006-04-20       Impact factor: 4.736

6.  Heterogeneity in mitotic activity and telomere length implies an important role of young islets in the maintenance of islet mass in the adult pancreas.

Authors:  Si-wu Peng; Lin-yun Zhu; Miao Chen; Mei Zhang; Di-zheng Li; Yu-cai Fu; Shen-ren Chen; Chi-ju Wei
Journal:  Endocrinology       Date:  2009-03-05       Impact factor: 4.736

7.  An optimized protocol for purification of functional islets of Langerhans.

Authors:  Youakim Saliba; Jules-Joel Bakhos; Tarek Itani; Nassim Farès
Journal:  Lab Invest       Date:  2016-11-28       Impact factor: 5.662

8.  Analysis of gene expression in pancreatic islets from diet-induced obese mice.

Authors:  Yumi Imai; Hiral R Patel; Nicolai M Doliba; Franz M Matschinsky; John W Tobias; Rexford S Ahima
Journal:  Physiol Genomics       Date:  2008-10-14       Impact factor: 3.107

9.  A Mouse Model of Metabolic Syndrome: Insulin Resistance, Fatty Liver and Non-Alcoholic Fatty Pancreas Disease (NAFPD) in C57BL/6 Mice Fed a High Fat Diet.

Authors:  Julio C Fraulob; Rebeca Ogg-Diamantino; Caroline Fernandes-Santos; Marcia Barbosa Aguila; Carlos A Mandarim-de-Lacerda
Journal:  J Clin Biochem Nutr       Date:  2010-04-10       Impact factor: 3.114

10.  Quantification and three-dimensional imaging of the insulitis-induced destruction of beta-cells in murine type 1 diabetes.

Authors:  Tomas Alanentalo; Andreas Hörnblad; Sofia Mayans; Anna Karin Nilsson; James Sharpe; Asa Larefalk; Ulf Ahlgren; Dan Holmberg
Journal:  Diabetes       Date:  2010-04-14       Impact factor: 9.461

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