Mathematical modeling of the neutrophil production process supported by administration of glycoprotein

Mika, Barbara; Pełka, Magdalena; Tkacz, Ewaryst

doi:10.1016/j.bbe.2020.12.001

Cited by 1 publication

(2 citation statements)

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“…32 review model types for cell formation dynamics in the bone marrow. Recently, Mika et al 33 used a compartment type model to represent neutrophil production whilst Cassidy et al 34 use a system of discrete delay differential equations to model chemotherapy induced neutropenia and monocytopenia. Orr et al 31 used a pipeline model to study the acquisition of CD10 expression.…”

Section: Introductionmentioning

confidence: 99%

“…Cell development marker, CD16 is added before CD10 31 and about half the neutrophils in the body are undergoing proliferation or maturation pre-CD16 acquisition 26,27 . Most of the neutrophils are in the bone marrow with 5 – 15 % in the blood 26,33 . We assume cell distribution and compartment volumes shown in Table 1 based on a total bone marrow volume of 1.75L 26,27,29 .…”

Section: Introductionmentioning

confidence: 99%

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A dynamic inflammation model for neutrophil and monocyte responses in sepsis, trauma and surgery patient clusters

Browning

Couenne

Bordes

et al. 2023

Preprint

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Time series clustering is applied to inflammation and neutrophil cell development markers, CD16 and CD10, in sepsis, trauma and surgery patients and a dynamical model with an inflammation function, F, is used to represent their evolution over a two month period. Five patient clusters are identified, characterised and evaluated against medical assessment scores and the literature. A dynamical model for neutrophil and monocyte cell counts and maturity has been constructed based on mass balances and cell kinetics in both blood and bone marrow. Cell proliferation and flow rates, as well as expression of monocyte HLA-DR, depend on concentrations of pro- and anti- inflammatory cytokines, IL6 and IL10, via F. A good fit with the data is obtained for each cluster and the estimated parameters correlate to illness severity. The model is a potential tool for simulation of immunomodulatory therapies.

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Section: Introductionmentioning

confidence: 99%