Literature DB >> 29454067

Considering our methods: Methodological issues with rodent models of appetite and obesity research.

Thomas A Lutz1.   

Abstract

A large number of animal models are currently used in appetite and obesity research. Because the worldwide incidence of obesity continues to climb, it is imperative that animal models sharing characteristics of human obesity and its co-morbidities be used appropriately in the quest for novel preventions or treatments. There is probably no animal model, at least in rodents, that recapitulates all aspects of "common" human obesity and its comorbidities, but rodent models allow insight into specific mechanisms of disease or its consequences. Frequently used obesity models can be partitioned into different categories, the major ones being a) based on mutations or manipulations of one or a few individual genes or b) those in genetically intact animals exposed to obesogenic environments such as, e.g., being maintained on high-fat diets or being raised in small litters. Characteristics of these models include distinct phenotypes of obesity, hyperphagia or changes in energy metabolism, and frequent comorbidities of obesity, like hyperglycemia, insulin resistance or diabetes-like syndromes. This review which is based on a presentation given during the Annual Meeting of the Society for the Study of Ingestive Behavior in July 2017 points out some observations and characteristics of rodent models in obesity and diabetes research. The choice of rodent models discussed here is subjective and based on the author's own experience or on fruitful discussions with colleagues about the pros and cons of specific models. Hence, this review, by no means, is meant to give a complete picture of rodent models used in this type of research, but the review tries to bring up some issues which, in the author's mind, may also be relevant for models not discussed here. For example, by discussing specific mouse and rat models, similarities and differences between mice and rats will be discussed that need to be considered to interpret experimental findings cautiously and in the context of the respective animal model. Knowing which animal model to use means, knowing its limitations.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Amylin; BAT; CCK; DIO/DR; Diabetes; Islet amyloid; NPY; RYGB

Mesh:

Year:  2018        PMID: 29454067     DOI: 10.1016/j.physbeh.2018.02.026

Source DB:  PubMed          Journal:  Physiol Behav        ISSN: 0031-9384


  9 in total

Review 1.  Glucagon-like peptide 1 (GLP-1).

Authors:  T D Müller; B Finan; S R Bloom; D D'Alessio; D J Drucker; P R Flatt; A Fritsche; F Gribble; H J Grill; J F Habener; J J Holst; W Langhans; J J Meier; M A Nauck; D Perez-Tilve; A Pocai; F Reimann; D A Sandoval; T W Schwartz; R J Seeley; K Stemmer; M Tang-Christensen; S C Woods; R D DiMarchi; M H Tschöp
Journal:  Mol Metab       Date:  2019-09-30       Impact factor: 7.422

2.  The physiological control of eating: signals, neurons, and networks.

Authors:  Alan G Watts; Scott E Kanoski; Graciela Sanchez-Watts; Wolfgang Langhans
Journal:  Physiol Rev       Date:  2021-09-06       Impact factor: 37.312

3.  Sleeve Gastrectomy Improves High-Fat Diet-Associated Hepatic Steatosis Independent of the Glucagon-like-Petpide-1 Receptor in Rats.

Authors:  Matthew Barron; Hailey Hayes; Deemantha G Fernando; Aron M Geurts; Tammy L Kindel
Journal:  J Gastrointest Surg       Date:  2022-05-26       Impact factor: 3.267

4.  Hepatic glycogen participates in the regulation of hypothalamic pAkt/Akt ratio in high-sugar/high-fat diet-induced obesity.

Authors:  Breno P Casagrande; Allain A Bueno; Luciana P Pisani; Debora Estadella
Journal:  Metab Brain Dis       Date:  2022-03-22       Impact factor: 3.655

5.  New horizons for future research - Critical issues to consider for maximizing research excellence and impact.

Authors:  Wolfgang Langhans; Roger Adan; Myrtha Arnold; William A Banks; J Patrick Card; Megan J Dailey; Derek Daniels; Annette D de Kloet; Guillaume de Lartigue; Suzanne Dickson; Shahana Fedele; Harvey J Grill; John-Olov Jansson; Sharon Kaufman; Grant Kolar; Eric Krause; Shin J Lee; Christelle Le Foll; Barry E Levin; Thomas A Lutz; Abdelhak Mansouri; Timothy H Moran; Gustavo Pacheco-López; Deepti Ramachandran; Helen Raybould; Linda Rinaman; Willis K Samson; Graciela Sanchez-Watts; Randy J Seeley; Karolina P Skibicka; Dana Small; Alan C Spector; Kellie L Tamashiro; Brian Templeton; Stefan Trapp; Patrick Tso; Alan G Watts; Nadja Weissfeld; Diana Williams; Christian Wolfrum; Gina Yosten; Stephen C Woods
Journal:  Mol Metab       Date:  2018-05-12       Impact factor: 7.422

6.  Anti-inflammatory agents as modulators of the inflammation in adipose tissue: A systematic review.

Authors:  Sara Sayonara da Cruz Nascimento; Jaluza Luana Carvalho de Queiroz; Amanda Fernandes de Medeiros; Ana Clara de França Nunes; Grasiela Piuvezam; Bruna Leal Lima Maciel; Thaís Souza Passos; Ana Heloneida de Araújo Morais
Journal:  PLoS One       Date:  2022-09-01       Impact factor: 3.752

7.  The endocannabinoid system is modulated in reward and homeostatic brain regions following diet-induced obesity in rats: a cluster analysis approach.

Authors:  Romain Bourdy; Alexandra Hertz; Dominique Filliol; Virginie Andry; Yannick Goumon; Jorge Mendoza; Mary C Olmstead; Katia Befort
Journal:  Eur J Nutr       Date:  2021-06-24       Impact factor: 5.614

8.  Analysis of platelets from a diet-induced obesity rat model: elucidating platelet dysfunction in obesity.

Authors:  María N Barrachina; Luis A Morán; Irene Izquierdo; Felipe F Casanueva; María Pardo; Ángel García
Journal:  Sci Rep       Date:  2020-08-04       Impact factor: 4.379

Review 9.  Designing Relevant Preclinical Rodent Models for Studying Links Between Nutrition, Obesity, Metabolism, and Cancer.

Authors:  Elaine M Glenny; Michael F Coleman; Erin D Giles; Elizabeth A Wellberg; Stephen D Hursting
Journal:  Annu Rev Nutr       Date:  2021-08-06       Impact factor: 11.848

  9 in total

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