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Multi-cellular network model predicts alterations in glomerular endothelial structure in diabetic kidney disease

Fig 10

Bar plots comparing the simulated glomerular endothelial cell fenestration number and diameter.

A: fenestration number and B: diameter at 20 weeks in the inter-subject glucose variability virtual mouse population without (gray bars) and with treatment by respective chemical agents (white bars). For the in silico treatment, each of the targeted species parameters () was reduced one-at-a-time by 100% at the initial time of 2 weeks. Observed number and diameter in healthy (blue bars) and diabetic (black bars) mice from Finch et al. [10] are also shown as mean ± standard deviation of the data. ***: p-value<0.001, ****: p-value<0.0001 for t-test comparison between data for healthy mice and model predictions in diseased virtual mice with or without treatment. **: p-value<0.01, ***: p-value<0.001, ****: p-value<0.0001 for t-test comparison between data for diabetic mice and model predictions in diseased virtual mice with or without treatment. Simulated results bars are shown as mean ± standard deviation across the virtual mouse population (n = 100).

doi: https://doi.org/10.1371/journal.pcbi.1013598.g010