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. Author manuscript; available in PMC: 2017 Oct 4.
Published in final edited form as: Computation (Basel). 2016 Oct 21;4(4):39. doi: 10.3390/computation4040039

Table 3.

Significant PRCCs for inflammation outcomes. List of all the parameters/mechanisms (rows) that have a significant (i.e., p < 10−3) respect to outputs of the model that are directly related to inflammation (columns). See Appendix B for a detailed description of the outcomes analyzed here. A + (or −) indicates a positive (or negative) correlation between the parameter and the outcome. The magnitude/strength of the correlation is given by the number of + (or −). The table recapitulates, whenever possible, the dynamics over time. The outputs with * are selected as examples to illustrate PRCC time courses (see Figure 6). See Appendix A for details on the parameters listed below.

INFLAMMATION (LUNG)
PARAMETERS Total Activated Macrophages Tot Pet Hot* Caseation/Necrosis TNF* IL10*
growthRateIntMtb + early1 + + early
τTγCC—chemokine threshold for Tγ recruitment − − early − early1 + + +
τTcyt−CC—chemokine threshold for Tcyt recruitment − − early − early then +1 + + +
τTreg−CC—chemokine threshold for Treg recruitment 1 + and then1 + + early − − −
k2—Naïve CD4 priming + + − early1 +1
k4—CD4+ T precursor proliferation + + + +1
k13—CD8+ T precursor proliferation − − − − − − + + + early − late − − − − − −
k14—CD8+ T differentiation—effector +1 +1
k11—Naïve CD8 priming + + early − late 1 1
1

These PRCCs are below 0.3, so they are not shown in Figure 6.