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• W2169256688 abstract "The human granulocyte colony-stimulating factor (G-CSF) is routinely applied to support recovery of granulopoiesis during the course of cytotoxic chemotherapies. However, optimal use of the drug is largely unknown. We showed in the past that a biomathematical compartment model of human granulopoiesis can be used to make clinically relevant predictions regarding new, yet untested chemotherapy regimen. In the present paper, we aim to extend this model by a detailed pharmacokinetic and -dynamic modelling of two commonly used G-CSF derivatives Filgrastim and Pegfilgrastim. Model equations are based on our physiological understanding of the drugs which are delayed absorption of G-CSF when applied to the subcutaneous tissue, dose-dependent bioavailability, unspecific first order elimination, specific elimination in dependence on granulocyte counts and reversible protein binding. Pharmacokinetic differences between Filgrastim and Pegfilgrastim were modelled as different parameter sets. Our former cell-kinetic model of granulopoiesis was essentially preserved, except for a few additional assumptions and simplifications. We assumed a delayed action of G-CSF on the bone marrow, a delayed action of chemotherapy and differences between Filgrastim and Pegfilgrastim with respect to stimulation potency of the bone marrow. Additionally, we incorporated a model of combined action of Pegfilgrastim and Filgrastim or endogenous G-CSF which interact via concurrent receptor binding. Unknown pharmacokinetic or cell-kinetic parameters were determined by fitting the predictions of the model to available datasets of G-CSF applications, chemotherapy applications or combinations of it. Data were either extracted from the literature or were received from cooperating clinical study groups. Model predictions fitted well to both, datasets used for parameter estimation and validation scenarios as well. A unique set of parameters was identified which is valid for all scenarios considered. Differences in pharmacokinetic parameter estimates between Filgrastim and Pegfilgrastim were biologically plausible throughout. We conclude that we established a comprehensive biomathematical model to explain the dynamics of granulopoiesis under chemotherapy and applications of two different G-CSF derivatives. We aim to apply the model to a large variety of chemotherapy regimen in the future in order to optimize corresponding G-CSF schedules or to individualize G-CSF treatment according to the granulotoxic risk of a patient." @default.
• W2169256688 created "2016-06-24" @default.
• W2169256688 creator A5019934565 @default.
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• W2169256688 date "2012-07-30" @default.
• W2169256688 modified "2023-09-23" @default.
• W2169256688 title "Pharmacokinetic and -dynamic modelling of G-CSF derivatives in humans" @default.
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• W2169256688 cites W165304624 @default.
• W2169256688 cites W184894832 @default.
• W2169256688 cites W18847791 @default.
• W2169256688 cites W1918405313 @default.
• W2169256688 cites W1966963151 @default.
• W2169256688 cites W1970181758 @default.
• W2169256688 cites W1971470522 @default.
• W2169256688 cites W1972843541 @default.
• W2169256688 cites W1975174081 @default.
• W2169256688 cites W1976827604 @default.
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• W2169256688 cites W1993608325 @default.
• W2169256688 cites W1997991692 @default.
• W2169256688 cites W2000910321 @default.
• W2169256688 cites W2015839741 @default.
• W2169256688 cites W2021368650 @default.
• W2169256688 cites W2022234371 @default.
• W2169256688 cites W2026736608 @default.
• W2169256688 cites W2027354043 @default.
• W2169256688 cites W2032414164 @default.
• W2169256688 cites W2033992465 @default.
• W2169256688 cites W2034504515 @default.
• W2169256688 cites W2036233304 @default.
• W2169256688 cites W2050383104 @default.
• W2169256688 cites W2051360772 @default.
• W2169256688 cites W2052223517 @default.
• W2169256688 cites W2053128632 @default.
• W2169256688 cites W2060756924 @default.
• W2169256688 cites W2070241398 @default.
• W2169256688 cites W2075259252 @default.
• W2169256688 cites W2089344492 @default.
• W2169256688 cites W2092368843 @default.
• W2169256688 cites W2098397327 @default.
• W2169256688 cites W2104009100 @default.
• W2169256688 cites W2104961332 @default.
• W2169256688 cites W2105192616 @default.
• W2169256688 cites W2106833866 @default.
• W2169256688 cites W2106928992 @default.
• W2169256688 cites W2108465006 @default.
• W2169256688 cites W2118813347 @default.
• W2169256688 cites W2119481331 @default.
• W2169256688 cites W2121254130 @default.
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• W2169256688 cites W2135826545 @default.
• W2169256688 cites W2135880060 @default.
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• W2169256688 doi "https://doi.org/10.1186/1742-4682-9-32" @default.
• W2169256688 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3507764" @default.
• W2169256688 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22846180" @default.
• W2169256688 hasPublicationYear "2012" @default.
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