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Nutrition ; 33: 266-270, 2017 Jan.
Article in English | MEDLINE | ID: mdl-27717663

ABSTRACT

OBJECTIVES: The aim of this study was to examine the effects of a Western diet (WD) and supplementation with Fuzhuan tea on large artery stiffness, as determined by aortic pulse wave velocity (aPWV). METHODS: Mice were subjected to a standard diet (SD; n = 12) or WD (n = 10) for 7 mo, and were then separated to receive nonsupplemented drinking water (SD-W and WD-W) or water supplemented with Fuzhuan tea (SD-T and WD-T) (200 mg/kg daily); mice were then maintained on their respective diets for an additional 2 mo. RESULTS: After the initial 7-mo feeding period, WD elicited a modest and significantly greater increase in body weight than did SD (39.6 ± 0.71 versus 34.5 ± 1.16 g; P < 0.01). PWV was significantly elevated in WD but not in SD (459.3 ± 4.8 versus 422.4 ± 6.4 cm/s; P < 0.001). Following an additional 2 mo, PWV continued to increase in WD-W, but returned to control levels in WD-T (WD-W: 519.8 ± 12.8; WD-T: 426.5 ± 18.6; SD-W: 429.7 ± 8.6; SD-T: 429.1 ± 6.1 cm/s; P < 0.001, WD-W versus all groups). The increase in PWV in WD-W was accompanied by an increase in aortic collagen (WD-W: 38.8 ± 4.6 versus SD-W: 17.5 ± 5.1 percent cross-sectional area; P < 0.05). CONCLUSION: The results of the present study suggest that the increase in arterial stiffness after modest, diet-induced weight gain can be reversed by supplementation with Fuzhuan tea.


Subject(s)
Camellia sinensis/chemistry , Cardiovascular Agents/therapeutic use , Diet, Western/adverse effects , Dietary Supplements , Overweight/diet therapy , Plant Extracts/therapeutic use , Vascular Stiffness , Animals , Aorta/metabolism , Aorta/physiology , Aorta/physiopathology , Collagen/metabolism , Elastin/metabolism , Endothelium, Vascular/metabolism , Endothelium, Vascular/physiology , Endothelium, Vascular/physiopathology , Fermentation , Male , Mice, Inbred C57BL , Overweight/etiology , Overweight/metabolism , Overweight/physiopathology , Plant Leaves/chemistry , Pulse Wave Analysis , Random Allocation , Weight Gain
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