Statistical analysis
Multiple t-test analyses were applied to each group of mice at each time point to determine the statistical significance of the results. On graphs displaying three or more data sets, multiple t-tests were performed between each pair or data. Many data points were determined to be significant (p < 0.05) by this method, denoted by the asterisks on the graphs (Figures 3, 4 and 5). However, this analysis is an imperfect application as the values obtained from our observations are not arithmetically related. The statistical analysis assumes that a value of 4 is twice a value of 2, for example, which does not match our data as our values are based on scoring physiological symptoms, and are therefore, semi-quantitative. Multiple t-tests were applied as a best-fit scenario, but a lack of statistical significance does not mean the results are not showing real variation.