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Efficacy of functional foods mixture in improving hypercholesterolemia, inflammatory and endothelial dysfunction biomarkers-induced by high cholesterol diet

Overview of attention for article published in Lipids in Health and Disease, October 2017
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Title
Efficacy of functional foods mixture in improving hypercholesterolemia, inflammatory and endothelial dysfunction biomarkers-induced by high cholesterol diet
Published in
Lipids in Health and Disease, October 2017
DOI 10.1186/s12944-017-0585-4
Pubmed ID
Authors

Hessah Mohammed Al-Muzafar, Kamal Adel Amin

Abstract

Hypercholesterolemia associated with cardiovascular diseases is a global health issue that could be alleviated by functional foods. This study aimed to explore the effects of a high-cholesterol diet on lipid profile, cardiac, inflammatory, and endothelial dysfunction biomarkers, and the possible improvement by functional foods mixture. Male albino rats weighing 100-150 g were randomly divided into four equal groups: 1st control, giving a normal diet; the 2nd received high-cholesterol diet for 8 weeks, the 3rd received the high-cholesterol diet + functional foods mixture, and the 4th administered high-cholesterol diet +atorvastatin (20 mg) orally. The results showed a significant increase in lipid profile and cardiac biomarkers levels (lactate dehydrogenase, creatine kinase and homocystein), also inflammatory markers, as, tumor necrotic factor alpha and chronic reactive proteins were elevated, moreover, vascular adhesion molecule-1 and nitric oxide synthase were disturbed in high-cholesterol diet compared with normal group. While administration of atorvastatin and functional foods mixture ameliorated these alterations. Administration of functional foods mixture and atorvastatin were effective in treating hypercholesterolemia, reduce the risk of inflammation and cardiovascular biomarkers with a high safety margin. These efficiencies may be due to its active ingredient that improve the imbalance in the measured biomarkers.

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Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 22%
Student > Master 6 10%
Student > Doctoral Student 5 9%
Other 4 7%
Researcher 3 5%
Other 11 19%
Unknown 16 28%
Readers by discipline Count As %
Medicine and Dentistry 18 31%
Nursing and Health Professions 5 9%
Agricultural and Biological Sciences 4 7%
Unspecified 2 3%
Engineering 2 3%
Other 5 9%
Unknown 22 38%