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. 2009 Apr 8;4(4):e5108. doi: 10.1371/journal.pone.0005108

Table 12. Comparing Computational Predictions with Experimental Data.

Computational Predictions Experimental Data Possible Explanations of Discrepancy
Interstitial VEGF in muscle, [V]IS = 10 pM [V]IS∼1 pM based on microdialysis [135], [136] Technical issues with macromolecular measurements using microdialysis; Model overestimation of sVEGFR1-facilitated transport of VEGF; Missing blood sources of VEGF in model.
77% of total plasma VEGF was sVEGFR1-complexed ∼4% mole fraction [45] Other unmodeled soluble receptors (e.g., sVEGFR2, sNRP1, plasma fibronectin) compete for VEGF in vivo.
5% of total plasma sVEGFR1 was VEGF-bound ∼0.65% mole fraction [45] Other unmodeled ligands (e.g., PlGF, VEGF-B) compete for sVEGFR1 in vivo.
sVEGFR1 as a ligand sink negligibly reduced interstitial free VEGF while drastically elevating plasma free VEGF sVEGFR1 as a ligand sink lowers availability of free VEGF in vitro, ex vivo and in vivo [8], [16], [153] Computational model examined transport between tissue and blood compartments; Experimental setups examined single-compartment (e.g. pooled amniotic fluids) or relatively closed system (e.g., avascular cornea) systems.
sVEGFR1 did not reduce intramuscular VEGF-VEGFR2 complex formation sVEGFR1 is anti-angiogenic (cornea [16], pre-eclampsia [17], [18], cancer [21][30]) Current computational model neglected sVEGFR1-heterodimerization with surface VEGFRs.
Exercise-induced lymph flow rates elevated plasma VEGF faster than plasma sVEGFR1 Acute exercise quickly elevated plasma sVEGFR1, then reduced plasma VEGF [49] Other exercise-induced parameter changes (e.g., hypoxia-induced sVEGFR1 production) not modeled computationally.