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Ability of dairy fat in inducing metabolic syndrome in rats

Overview of attention for article published in SpringerPlus, November 2016
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Title
Ability of dairy fat in inducing metabolic syndrome in rats
Published in
SpringerPlus, November 2016
DOI 10.1186/s40064-016-3716-x
Pubmed ID
Authors

Elham Ehrampoush, Reza Homayounfar, Sayed Hossein Davoodi, Hamid Zand, Alireza Askari, Seyed Amin Kouhpayeh

Abstract

The risk of heart diseases, diabetes and stroke is increased with higher metabolic risk factors. Models of diseases resulting from high-calorie diets have a significant role in pathophysiologic analysis of metabolic syndrome in rodents; but, these diets are considerably different from each other in various studies and may not be very similar to the metabolic syndrome model in humans. This study sought to make a model close to the disease in humans. 20 five-week old male Wistar rats were randomly assigned to two groups. For one of the groups, a high-calorie diet with 416 calories per 100 g with dairy-based fat was considered and, for another group, a control diet was given for 12 weeks. Weight changes, lipid profile, glucose values, Blood pressure, insulin and HOMA indices, were measured for both groups and weight changes were compared using repeated measures and independent t test; also, serum results were compared using independent t test. Values of weight, glucose, insulin, lipid profile and blood pressure, except HDL, had a tangible difference between two groups at the end of the study. HOMA-IR, HOMA-B and HOMA-S indicates a significant difference between the two groups after consumption high-energy diet. The present study showed ability of dairy fat in gaining weight, insulin resistance and metabolic syndrome and provided the necessity of paying serious attention to the amount of fat intake from dairy sources.

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Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 17%
Student > Bachelor 4 17%
Student > Master 2 9%
Researcher 2 9%
Student > Ph. D. Student 2 9%
Other 3 13%
Unknown 6 26%
Readers by discipline Count As %
Medicine and Dentistry 5 22%
Agricultural and Biological Sciences 4 17%
Nursing and Health Professions 2 9%
Immunology and Microbiology 1 4%
Psychology 1 4%
Other 1 4%
Unknown 9 39%