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RESEARCH PRODUCT
An Experimental Model of Diet-Induced Metabolic Syndrome in Rabbit: Methodological Considerations, Development, and Assessment
Ana DíazFrancisco J. ChorroAntonio AlberolaLuis Such-miquelManuel ZarzosoPatricia GenovésGermán ParraConrado J. CalvoLuis SuchO J Arias-mutissubject
Male0301 basic medicineGeneral Chemical EngineeringPhysiologyDisease030204 cardiovascular system & hematologyDiet High-FatGeneral Biochemistry Genetics and Molecular Biology03 medical and health scienceschemistry.chemical_compound0302 clinical medicinemedicineAnimalsPathologicalMetabolic Syndrome030109 nutrition & dieteticsGeneral Immunology and MicrobiologyTriglyceridebusiness.industryExperimental modelGeneral NeuroscienceModels Theoreticalmedicine.diseaseObesityDisease Models AnimalBlood pressurechemistryMedicineRabbitsMetabolic syndromebusinessDyslipidemiadescription
In recent years, obesity and metabolic syndrome (MetS) have become a growing problem for public health and clinical practice, given their increased prevalence due to the rise of sedentary lifestyles and unhealthy eating habits. Thanks to animal models, basic research can investigate the mechanisms underlying pathological processes such as MetS. Here, we describe the methods used to develop an experimental rabbit model of diet-induced MetS and its assessment. After a period of acclimation, animals are fed a high-fat (10% hydrogenated coconut oil and 5% lard), high-sucrose (15% sucrose dissolved in water) diet for 28 weeks. During this period, several experimental procedures were performed to evaluate the different components of MetS: morphological and blood pressure measurements, glucose tolerance determination, and the analysis of several plasma markers. At the end of the experimental period, animals developed central obesity, mild hypertension, pre-diabetes, and dyslipidemia with low HDL, high LDL, and an increase of triglyceride (TG) levels, thus reproducing the main components of human MetS. This chronic model allows new perspectives for understanding the underlying mechanisms in the progression of the disease, the detection of preclinical and clinical markers that allow the identification of patients at risk, or even the testing of new therapeutic approaches for the treatment of this complex pathology.
year | journal | country | edition | language |
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2018-04-20 | Journal of Visualized Experiments |