Different effects of high-fat and high-sucrose diets on the physiology of perivascular adipose tissues of the thoracic and abdominal aorta

Figures

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  Figure 1.. Effects of high-fat and high-sucrose diets on body weight, food intake, serum glucose, serum triglyceride and serum total cholesterol levels. (a) Body weight, (b) food intake, (c) serum glucose, (d) serum TG and (e) serum T-Cho in the three experimental groups. Data are presented as the mean ± standard error of mean (S.E.M). Values with different letters are significantly different (p < 0.05)

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  Figure 2.. Effects of high-fat and high-sucrose diets on lipid droplets in PVAT. (a-c) Represented haematoxylin-eosin (H&E) staining of the tPVAT and (d-f) represented (H&E) staining of the aPVAT in the three experimental groups. (g) Lipid droplets ratio of the tPVAT, (h) lipid droplets number per 1 field (200,000μm2) of the tPVAT, (i) lipid droplets rate of the aPVAT and (j) lipid droplets number per 1 field (200,000μm2) of the aPVAT in the three experimental groups. Scale bar = 200 μm. Data are presented as the mean ± standard error of mean (S.E.M). Values with different letters are significantly different (p < 0.05)

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  Figure 3.. Effects of high-fat and high-sucrose diets on UCP-1 in PVAT. (a-c) Represented UCP-1 immunostaining of the tPVAT and (d-f) represented UCP-1 immunostaining of the aPVAT in the three experimental groups. (g) Quantification of UCP-1 positive areas of the tPVAT and (h) quantification of UCP-1 positive areas of the aPVAT, in the three experimental groups. Scale bar = 200 μm. Data are presented as the mean ± standard error of mean (S.E.M). Values with different letters are significantly different (p < 0.05)

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  Figure 4.. Effects of high-fat and high-sucrose diets on macrophage and MCP-1 in PVAT. (a-c) Represented CD68 immunostaining of the tPVAT, (d-f) represented CD68 immunostaining of the aPVAT, (g-i) represented MCP-1 immunostaining of the tPVAT and (j-l) represented MCP-1 immunostaining of the aPVAT in the three experimental groups. (m) Quantification of CD68 positive areas of the tPVAT, (n) quantification of MCP-1 positive areas of the tPVAT, (o) Quantification of CD68 positive areas of the aPVAT and (p) quantification of MCP-1 positive areas of the aPVAT in the three experimental groups. Scale bar = 100 μm. Data are presented as the mean ± standard error of mean (S.E.M). Values with different letters are significantly different (p < 0.05)

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  Figure 5.. Effects of high-fat and high-sucrose diets on MMP-2, MMP-9 and MMP-12 in PVAT. (a-c) Represented MMP-2 immunostaining of the tPVAT, (d-f) represented MMP-2 immunostaining of the aPVAT, (g-i) represented MMP-9 immunostaining of the tPVAT and (j-l) represented MMP-9 immunostaining of the aPVAT, (m-o) represented MMP-12 immunostaining of the tPVAT and (p-r) represented MMP-12 immunostaining of the aPVAT in the three experimental groups. (s) Quantification of MMP-2 positive areas of the tPVAT, (t) quantification of MMP-9 positive areas of the tPVAT, (u) quantification of MMP-12 positive areas of the tPVAT, (v) quantification of MMP-2 positive areas of the aPVAT, (w) quantification of MMP-9 positive areas of the aPVAT and (x) quantification of MMP-12 positive areas of the aPVAT in the three experimental groups. Scale bar = 100 μm. Data are presented as the mean ± standard error of mean (S.E.M). Values with different letters are significantly different (p < 0.05)

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  Figure 6.. Effects of high-fat and high-sucrose diets on the thoracic and abdominal aorta. (a-c) represented picrosirius red (PSR) staining of the thoracic aorta, (d-f) represented (PSR) staining of the abdominal aorta, (g-h) represented CD68 immunostaining of the thoracic aorta, (j-l) Represented CD68 immunostaining of the abdominal aorta, (m-o) represented MCP-1 immunostaining of the thoracic aorta and (p-r) represented MCP-1 immunostaining of the abdominal aorta in the three experimental groups. (s) Collagen positive areas quantification of the thoracic aorta, (t)quantification of CD68 positive areas of the thoracic aorta, (u) quantification of MCP-1 positive areas of the thoracic aorta, (v) collagen positive areas quantification of the abdominal aorta, (w) quantification of CD68 positive areas of abdominal aorta and (x) quantification of MCP-1 positive areas of abdominal aorta in the three experimental groups. Scale bar = 200 μm. Data are presented as the mean ± standard error of mean (S.E.M). Values with different letters are significantly different (p < 0.05)

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  Figure 7.. Effects of high-fat and high-sucrose diets on MMPs in the thoracic and abdominal aorta. (a-c) represented MMP-2 immunostaining of the thoracic aorta, (d-f) represented MMP-2 immunostaining of the abdominal aorta, (g-h) represented MMP-9 immunostaining of the thoracic aorta, (j-l) Represented MMP-9 immunostaining of the abdominal aorta, (m-o) represented MMP-12 immunostaining of the thoracic aorta and (p-r) represented MMP-12 immunostaining of the abdominal aorta in the three experimental groups. (s) Quantification of MMP-2 positive areas of the thoracic aorta, (t) quantification of MMP-9 positive areas of the thoracic aorta, (u) quantification of MMP-12 positive areas of the thoracic aorta, (v) quantification of MMP-2 positive areas of the abdominal aorta, (w) quantification of MMP-9 positive areas of abdominal aorta and (x) quantification of MMP-12 positive areas of abdominal aorta in the three experimental groups. Scale bar = 100 μm. Data are presented as the mean ± standard error of mean (S.E.M). Values with different letters are significantly different (p < 0.05)