| Literature DB >> 29503703 |
Shuhei Naka1, Kaoruko Wato1, Rina Hatakeyama1, Rena Okawa1, Ryota Nomura1, Kazuhiko Nakano1.
Abstract
Background: We previously reported that intravenous administration of Streptococcus mutans strain TW871 caused typical non-alcoholic steatohepatitis (NASH)-like findings in a high-fat diet (HFD) mouse model at 16 weeks after initiating the experiment. Objective: The purpose of the present study was to analyse mice administered S. mutans TW871 fed a HFD for various periods of time.Entities:
Keywords: Streptococcus mutans; longitudinal comparison; mouse model; non-alcoholic steatohepatitis; two-hit theory
Year: 2018 PMID: 29503703 PMCID: PMC5795759 DOI: 10.1080/20002297.2018.1428005
Source DB: PubMed Journal: J Oral Microbiol ISSN: 2000-2297 Impact factor: 5.474
Figure 1.Effect of high-fat diet and S. mutans infection on mouse body weight increase (a), liver weight (b), and visceral fat weight (c). There was a statistically significant difference between two groups by Bonferroni’s method after ANOVA; *P < 0.05, **P < 0.01.
Figure 2.Serum AST and ALT levels in mice fed a high-fat diet and mice administered S. mutans. (a) AST. (b) ALT. There was a statistically significant difference between two groups by Bonferroni’s method after ANOVA; **P < 0.01, ***P < 0.001.
Figure 3.Representative histopathological findings in liver tissue after haematoxylin–eosin staining in mice fed a high-fat diet and administered S. mutans. Lower panels are magnification of the rectangular area of each upper panel.
Figure 4.Representative histopathological findings in liver tissue after Masson’s trichrome staining in mice fed a high-fat diet and mice administered S. mutans. Lower panels are magnification of the rectangular area of each upper panel.
Figure 5.Quantification of histopathological images using ImageJ in mice fed a high-fat diet and mice administered S. mutans. (a) Fat accumulation. (b) Fibrosis. (c) Kupffer cells. (d) Liver cell nuclei. There was a statistically significant difference between two groups by Bonferroni’s method after ANOVA; *P < 0.05, **P < 0.01.