Obesity Rodent Models Applied to Research with Food Products and Natural Compounds

Bibliographic Details
Title: Obesity Rodent Models Applied to Research with Food Products and Natural Compounds
Authors: Tânia Martins, Tiago Ferreira, Elisabete Nascimento-Gonçalves, Catarina Castro-Ribeiro, Sílvia Lemos, Eduardo Rosa, Luís Miguel Antunes, Paula Alexandra Oliveira
Source: Obesities, Vol 2, Iss 2, Pp 171-204 (2022)
Publisher Information: MDPI AG, 2022.
Publication Year: 2022
Collection: LCC:Food processing and manufacture
LCC:Nutritional diseases. Deficiency diseases
Subject Terms: fatness, overweight, animal model, diet-induced obesity, high-fat diet, bioactive compounds, Food processing and manufacture, TP368-456, Nutritional diseases. Deficiency diseases, RC620-627
More Details: Obesity is a disease whose incidence has increased over the last few decades. Despite being a multifactorial disease, obesity results essentially from excessive intake of high-calorie foods associated with low physical activity. The demand for a pharmacological therapy using natural compounds as an alternative to synthetic drugs has increased. Natural compounds may have few adverse effects and high economic impact, as most of them can be extracted from underexploited plant species and food by-products. To test the potential anti-obesogenic effects of new natural substances, the use of preclinical animal models of obesity has been an important tool, among which rat and mouse models are the most used. Some animal models are monogenic, such as the db/db mice, ob/ob mice, Zucker fatty rat and Otsuka Long-Evans Tokushima fatty rat. There are also available chemical models using the neurotoxin monosodium glutamate that induces lesions in the ventromedial hypothalamus nucleus, resulting in the development of obesity. However, the most widely used are the obesity models induced by high-fat diets. The aim of this review was to compile detail studies on the anti-obesity effects of natural compounds or their derivatives on rodent models of obesity as well as a critical analysis of the data.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2673-4168
Relation: https://www.mdpi.com/2673-4168/2/2/15; https://doaj.org/toc/2673-4168
DOI: 10.3390/obesities2020015
Access URL: https://doaj.org/article/d3aa1351a96244fd8b00434cc8d7077b
Accession Number: edsdoj.3aa1351a96244fd8b00434cc8d7077b
Database: Directory of Open Access Journals
More Details
ISSN:26734168
DOI:10.3390/obesities2020015
Published in:Obesities
Language:English