Literature DB >> 15536277

Metabolic and cardiovascular disorders in highly inbred lines for intensive pig farming: how animal welfare evaluation could improve the basic knowledge of human obesity.

Gianfranco Brambilla1, Alfredo Cantafora.   

Abstract

Intensive pig farming is currently performed with highly inbred lines of animals characterised not only by fast growing and low proportion of back-fat tissue, but also by an impaired development of muscular mass and cardiocirculatory system, and higher susceptibility to oxidative stress. This picture of genetically-determined metabolic alterations suggests the use of these lines as a nice tool for conducting comparative studies with human populations affected by high incidence of obesity and their sequelae, e.g. type 2 diabetes, arteriosclerosis, and cardiovascular diseases. The animal model offers, in fact, the advantages of low genetic variance, homogeneous feeding regime, and the absence of confounding factors typical of humans, such as smoking, alcohol drinking, etc. The similarity of pathological response to high caloric intakes between the two species supports the use of pig model for identifying genes and their variants associated with energy storage defects through the activation of both hormonal and biochemical pathways. To this purpose, the evaluation of animal welfare constitutes a nice opportunity to deepen the matter, through the evaluation of both ethical and physiological needs.

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Year:  2004        PMID: 15536277

Source DB:  PubMed          Journal:  Ann Ist Super Sanita        ISSN: 0021-2571            Impact factor:   1.663


  19 in total

1.  Genetics of fat tissue accumulation in pigs: a comparative approach.

Authors:  M Switonski; M Stachowiak; J Cieslak; M Bartz; M Grzes
Journal:  J Appl Genet       Date:  2010       Impact factor: 3.240

2.  The proliferation and differentiation of primary pig preadipocytes is suppressed when cultures are incubated at 37°Celsius compared to euthermic conditions in pigs.

Authors:  Amy E Bohan; Katelyn N Purvis; Julia L Bartosh; Terry D Brandebourg
Journal:  Adipocyte       Date:  2014-12-10       Impact factor: 4.534

3.  Cloning, comparative characterization of porcine SCAP gene, and identification of its two splice variants.

Authors:  Huan Qiu; Tao Xia; Xiaodong Chen; Xuelian Zhao; Li Gan; Shengqiu Feng; Ting Lei; Zaiqing Yang
Journal:  Mol Genet Genomics       Date:  2006-05-17       Impact factor: 3.291

4.  miR-125a inhibits porcine preadipocytes differentiation by targeting ERRα.

Authors:  Hong-Lei Ji; Cheng-Chuang Song; Yue-Feng Li; Jing-Jing He; You-Lei Li; Xue-Li Zheng; Gong-She Yang
Journal:  Mol Cell Biochem       Date:  2014-06-22       Impact factor: 3.396

5.  Lentivirus-mediated Sirt1 shRNA and resveratrol independently induce porcine preadipocyte apoptosis by canonical apoptotic pathway.

Authors:  Wei-Jun Pang; Yan Xiong; Zhao Zhang; Ning Wei; Ni Chen; Gong-She Yang
Journal:  Mol Biol Rep       Date:  2012-10-13       Impact factor: 2.316

6.  SOCS3 inhibits insulin signaling in porcine primary adipocytes.

Authors:  Shuang-Juan Yang; Cheng-Quan Xu; Jiang-Wei Wu; Gong-She Yang
Journal:  Mol Cell Biochem       Date:  2010-08-04       Impact factor: 3.396

7.  The characteristics of the porcine (Sus scrofa) liver miRNAome with the use of next generation sequencing.

Authors:  Klaudia Pawlina; Artur Gurgul; Maria Oczkowicz; Monika Bugno-Poniewierska
Journal:  J Appl Genet       Date:  2014-09-18       Impact factor: 3.240

Review 8.  Regulation of lipid deposition in farm animals: Parallels between agriculture and human physiology.

Authors:  Werner G Bergen; Terry D Brandebourg
Journal:  Exp Biol Med (Maywood)       Date:  2016-06

9.  Modulation of Sirt1 by resveratrol and nicotinamide alters proliferation and differentiation of pig preadipocytes.

Authors:  Liang Bai; Wei-Jun Pang; Yan-Jun Yang; Gong-She Yang
Journal:  Mol Cell Biochem       Date:  2007-09-13       Impact factor: 3.396

10.  Expression of TGH and its role in porcine primary adipocyte lipolysis.

Authors:  Li-Hong Zhang; Li-Jie Zhang; Qi Wang; Bo Wang; Gong-She Yang
Journal:  Mol Cell Biochem       Date:  2008-06-10       Impact factor: 3.396

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