Data are expressed as mean ± SEM. A two-way ANOVA was used to determine significance of diet (HS vs. HB), genotype (WD vs. KO), and their interaction. When there was an interaction (p < 0.05) between diet and genotype, differences among four groups were located with Duncan’s multiple range test. Significant differences between two groups were analyzed by Student’s t test. If variances were not homogeneous, data were log-transformed before statistical analysis. The General Linear Model package (SAS Institute, Cary, NC, USA) was used for all statistical analyses, and differences were considered significant at p < 0.05.
Do you have any questions about this protocol?
Post your question to gather feedback from the community. We will also invite the authors of this article to respond.