TABLE 2.
Group | Rats | Labeled Fraction (% DiI-RBCs) |
Number of Capillary Fields per Rat |
Number of Capillary Pathways per Rat |
Total Number of Capillary Pathways |
Capillary Diameter (μm) |
Erythrocyte Flux (RBC/sec) |
Erythrocyte Velocity (mm/sec) |
---|---|---|---|---|---|---|---|---|
B-ND | 5 | 0.046 ± 0.014 (0.025-0.060) | 3.4 ± 0.6 (3-4) | 30.6 ± 8.3 (23-43) | 153 | 13.8 ± 2.4 (9.0-19.5) | 216.5 ± 246.9b (11-1378) | 1.064 ± 0.463b (0.255-3.981) |
STZ-MH | 4 | 0.054 ± 0.011 (0.042-0.068) | 2.8 ± 0.5 (2-3) | 24.5 ± 4.7 (18-28) | 98 | 14.0 ± 2.4 (9.3-20.1) | 126.7 ± 103.3a (6-451) | 0.894 ± 0.348a (0.352-1.996) |
STZ-D | 7 | 0.049 ± 0.011 (0.032-0.060) | 2.4 ± 0.8 (1-3) | 21.9 ± 9.7 (8-32) | 153 | 13.4 ± 2.5 (8.9-20.4) | 138.5 ± 132.2a (3-984) | 0.937 ± 0.371a (0.236-2.647) |
ANOVA p-value | 0.617 | 0.075 | 0.236 | Kruskal-Wallis ANOVA p-value | 0.116 | 0.023 | 0.002 |
All values are means ± SD. Values in parentheses represent ranges. The p-values report the significance of the one-way ANOVA test or the Kruskal-Wallis One Way Analysis of Variance on Ranks test to compare the values among the three groups. Dunn’s method was used to compare the multiple pairs among the three groups if the Kruskal-Wallis test showed a significant difference.
p<0.05 compared to B-ND group
p<0.05 compared to STZ-MH group