|
|
|
|
Vol. 63, Issue 1, 147-158, January 2003
Department of Chemical Engineering (C.A.S., D.A.L.), Biotechnology
Process Engineering Center (C.A.S., D.A.L.), Department of Biology
(D.A.L.), and Biological Engineering Division (D.A.L.), Massachusetts
Institute of Technology, Cambridge, Massachusetts
The cytokine granulocyte colony-stimulating factor (GCSF) is of great
clinical importance, with primary application to rapidly elevate the
peripheral neutrophil levels of chemotherapy patients through
accelerated granulopoiesis. However, these mature bloodstream neutrophils express the GCSF receptor (GCSFR), presenting a significant and specific clearance mechanism of circulating GCSF that increases with time. Here, we formulate a mathematical model that describes these
cell-level GCSF/GCSFR dynamics and correlate the effect of these
endocytic trafficking processes to ligand depletion in an in vitro
culture. We further incorporate this cell-level model into an existing
pharmacokinetic/pharmacodynamic (PK/PD) model, to gain insight into the
effects that specific molecular and cellular parameters may have on
overall PK/PD effects in vivo. Our cell-level model suggests that
ligand depletion may be reduced in vitro by decreasing the endosomal
affinity of endocytosed GCSF/GCSFR complexes, matching experimental
findings. Additionally, our modified PK/PD model suggests that a GCSF
analog with a modification that effectively eliminates renal clearance
should have a significantly longer half-life in vivo and should
therefore improve peripheral neutrophil counts. This is consistent with
clinical studies on a polyethylene glycol chemical conjugate of GCSF
termed SD/01. The model predicts that a GCSF analog that eliminates
renal clearance and has reduced endosomal binding affinity may result
in an even longer ligand half-life and increased neutrophil counts at a
lower dose than either wild-type GCSF or SD/01. More generally, this
type of hierarchical model provides a correlation between the molecular
and pharmacological properties of a drug and may elucidate design goals
for such protein therapeutics.
This article has been cited by other articles:
![]() |
M.-H. Sung and R. Simon In Silico Simulation of Inhibitor Drug Effects on Nuclear Factor-{kappa}B Pathway Dynamics Mol. Pharmacol., July 1, 2004; 66(1): 70 - 75. [Abstract] [Full Text] [PDF] |
||||