| Dataset | Data structure | Type of test | Power |
---|---|---|---|---|
a | Figure 4i | Normal distribution (Shapiro–Wilk p = 0.115) | t-test | p = 0.641 |
b | Figure 4n | Normal distribution (Shapiro–Wilk p = 0.942) | One-way ANOVA | F(4,18) = 0.41; p = 0.801 |
c | Figure 5b | Normal distribution (Shapiro–Wilk p = 0.222) | t-test | p = 0.038 |
d | Figure 5c | Non-normal distribution (Shapiro–Wilk p < 0.0001) | Mann–Whitney U | Adjusted p values: Section 1: p = 0.900 Section 2: p = 0.900 Section 3: p = 0.664 Section 4: p = 0.195 Section 5: p = 0.121 Section 6: p = 0.201 Section 7: p = 0.900 |
e | Figure 5e | Non-Normal distribution (Shapiro–Wilk p = 0.016) | Mann–Whitney U | Adjusted p values: p ≥ 0.771 |
f | Figure 5f | Non-normal distribution (Shapiro–Wilk p < 0.0001) | Mann–Whitney U | Adjusted p values: d2: p = 0.750 d7: p = 0.051 d14: p = 0.0004 |
g | Figure 5g | Non-normal distribution (Shapiro–Wilk p < 0.0001) | Mann–Whitney U | Adjusted p values: d2: p = 0.715 d7: p = 0.058 d14: p = 0.0003 |
h | Figure 5h | Normal distribution (Shapiro–Wilk p = 0.109) | Two-way RM ANOVA | Time x Treatment interaction: F(2,54) = 0.13; p = 0.878 |
i | Figure 5i | Normal distribution (Shapiro–Wilk p = 0.172) | Two-way RM ANOVA | Time x Treatment interaction: F(2,54) = 0.01; p = 0.993 |
j | Figure 5j | Normal distribution (Shapiro–Wilk p = 0.241) | Two-way RM ANOVA | Time x Treatment interaction: F(3,81) = 0.39; p = 0.760 |
k | Figure 6b | Normal distribution (Shapiro–Wilk p = 0.674) | t-test | p = 0.006 |
l | Figure 6c | Non-normal distribution (Shapiro–Wilk p < 0.0001) | Mann–Whitney | Adjusted p values: Section 1: p = 0.244 Section 2: p = 0.244 Section 3: p = 0.209 Section 4: p = 0.209 Section 5: p = 0.113 Section 6: p = 0.209 Section 7: p = 0.244 |
m | Figure 7b | Normal distribution (Shapiro–Wilk p = 0.833) | t-test | p < 0.0001 |
n | Figure 7c | Normal distribution (Shapiro–Wilk p = 0.908) | t-test | p < 0.0001 |
o | Figure 7d | Normal distribution (Shapiro–Wilk p = 0.900) | t-test | p < 0.0001 |
p | Figure 7e | Normal distribution (Shapiro–Wilk p = 0.167) | t-test | p < 0.0001 |
q | Figure 7f | Non-Normal distribution (Shapiro–Wilk p = 0.025) | Mann–Whitney U | p = 0.005 |
r | Figure 7g | Non-Normal distribution (Shapiro–Wilk p = 0.032) | Mann–Whitney U | p = 0.511 |
s | S Fig. 2c | Normal distribution (Shapiro–Wilk p = 0.480) | t-test | p = 0.038 |
t | S Fig. 3b | Non-Normal distribution (Shapiro–Wilk p = 0.007) | Mann–Whitney U | p = 0.015 |
u | S Fig. 3c | Non-Normal distribution (Shapiro–Wilk p < 0.0001) | Mann–Whitney U | Adjusted p values: 30 min: p = 0.004 1 h: p = 0.004 |
v | S Fig. 4b | Non-Normal distribution (Shapiro–Wilk p = 0.004) | Mann–Whitney U | Adjusted p values: p ≥ 0.111 |
w | S Fig. 4c | Normal distribution (Shapiro–Wilk p = 0.099) | Two-way RM ANOVA (Mixed-effects model) | Time x Treatment interaction: F(3,38) = 2.66; p = 0.062 |
x | S Fig. 4d | Non-Normal distribution (Shapiro–Wilk p = 0.044) | Mann–Whitney U | Adjusted p values: p ≥ 0.151 |
y | S Fig. 4e | Non-Normal distribution (Shapiro–Wilk p = 0.018) | Mann–Whitney U | Adjusted p values: p ≥ 0.733 |
z | S Fig. 4f | Non-Normal distribution (Shapiro–Wilk p = 0.012) | Mann–Whitney U | Adjusted p values: p ≥ 0.340 |
aa | S Fig. 4g | Non-Normal distribution (Shapiro–Wilk p = 0.0005) | Mann–Whitney U | Adjusted p values: p ≥ 0.419 |
ab | S Fig. 4h | Normal distribution (Shapiro–Wilk p = 0.159) | Two-way RM ANOVA (Mixed-effects model) | Time x Treatment interaction: F(3,38) = 0.70; p = 0.555 |
ac | S Fig. 4i | Non-Normal distribution (Shapiro–Wilk p = 0.0006) | Mann–Whitney U | Adjusted p values: p ≥ 0.186 |
ad | S Fig. 4k | Non-Normal distribution (Shapiro–Wilk p < 0.0001) | Mann–Whitney U | Adjusted p values: p ≥ 0.999 |
ae | S Fig. 4l | Non-Normal distribution (Shapiro–Wilk p < 0.0001) | Mann–Whitney U | Adjusted p values: p ≥ 0.997 |
af | S Fig. 5b | Normal distribution (Shapiro–Wilk p = 0.715) | t-test | p = 0.093 |