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Biomedical subjects

D L McElwain

Publications and source records attributed to D L McElwain.

11 recordsLinked to original sources

The migration of cells in multicell tumor spheroids.

A mathematical model is proposed to explain the observed internalization of microspheres and 3H-thymidine labelled cells in steady-state multicellular spheroids. The model uses the conventional ideas of nutrient diffusion and consumption by the cells. In addition, a very simple model of the progress of the cells through the cell cycle is considered. Cells are divided into two classes, those proliferating (being in G1, S, G2 or M phases) and those that are quiescent (being in G0). Furthermore, the two categories are presumed to have different chemotactic responses to the nutrient gradient. The model accounts for the spatial and temporal variations in the cell categories together with mitosis, conversion between categories and cell death. Numerical solutions demonstrate that the model predicts the behavior similar to existing models but has some novel effects. It allows for spheroids to approach a steady-state size in a non-monotonic manner, it predicts self-sorting of the cell classes to produce a thin layer of rapidly proliferating cells near the outer surface and significant numbers of cells within the spheroid stalled in a proliferating state. The model predicts that overall tumor growth is not only determined by proliferation rates but also by the ability of cells to convert readily between the classes. Moreover, the steady-state structure of the spheroid indicates that if the outer layers are removed then the tumor grows quickly by recruiting cells stalled in a proliferating state. Questions are raised about the chemotactic response of cells in differing phases and to the dependency of cell cycle rates to nutrient levels.

Cell Cycle↗

Lotka-Volterra equations with chemotaxis: walls, barriers and travelling waves.

In this paper we consider a simple two species model for the growth of new blood vessels. The model is based upon the Lotka-Volterra system of predator and prey interaction, where we identify newly developed capillary tips as the predator species and a chemoattractant which directs their motion as the prey. We extend the Lotka-Volterra system to include a one-dimensional spatial dependence, by allowing the predators to migrate in a manner modelled on the phenomenon of chemotaxis. A feature of this model is its potential to support travelling wave solutions. We emphasize that in order to determine the existence of such travelling waves it is essential that the global relationships of a number of phase plane features other than the equilibria be investigated.

Animals↗

The effect of chemotaxis and chemokinesis on leukocyte locomotion: a new interpretation of experimental results.

A mathematical model is developed to describe the motion of leukocytes through a Boyden chamber. The model is based on the Keller-Segel model of cell motion and comprises three partial differential equations which describe the evolution of the neutrophils, the chemoattractant, and a neutrophil-derived chemokinetic factor. Where other authors have concentrated on chemotaxis, here attention is focused on the manner in which the chemokinetic factor influences neutrophil locomotion. Numerical simulations show how the number of neutrophils initially placed on top of the chamber affects cellular motion through the system and reproduce the qualitative behaviour observed by Takeuchi & Persellin (Am. J. Physiol. 236, C22-C29). In particular, the simulations show how dense packing of the neutrophils increases the levels of the chemokinetic factor. This enhances random cell motion and increases the speed with which the neutrophils reach the source of chemoattractant. For a particular asymptotic limit of the system parameters, the model reduces to a nonlinear partial differential equation for the neutrophils. Similarity solutions of this caricature model yield algebraic expressions relating the speed with which the neutrophil front penetrates into the chamber to the number of neutrophils initially placed on top of it. The implications of the results are also discussed.

Cell Movement↗

On the rôle of angiogenesis in wound healing.

Angiogenesis, the formation of blood vessels, may be described as a process whereby capillary sprouts are formed in response to externally supplied chemical stimuli. The sprouts then develop and organize themselves into a dendritic structure. Angiogenesis occurs during embryogenesis, wound healing, arthritis and during the growth of solid tumours. In this paper we present a mathematical model which describes the rŏle of angiogenesis as observed during (soft-tissue) wound healing. We focus attention on certain principal players involved in this complex process, namely capillary tips, capillary sprouts, fibroblasts, macrophage-derived chemical attractants, oxygen and extracellular matrix. The model consists of a system of nonlinear partial differential equations describing the interactions in space and time of the above substances. Numerical simulations are presented which are in very good qualitative agreement with experimental observations.

Animals↗

A model of wound-healing angiogenesis in soft tissue.

Angiogenesis, or blood vessel growth, is a critical step in the wound-healing process, involving the chemotactic response of blood vessel endothelial cells to macrophage-derived factors produced in the wound space. In this article, we formulate a system of partial differential equations that model the evolution of the capillary-tip endothelial cells, macrophage-derived chemoattractants, and the new blood vessels during the tissue repair process. Chemotaxis is incorporated as a dominant feature of the model, driving the wave-like ingrowth of the wound-healing unit. The resulting model admits traveling wave solutions that exhibit many of the features characteristic of wound healing in soft tissue. The steady propagation of the healing unit through the wound space, the development of a dense band of fine, tipped capillaries near the leading edge of the wound-healing unit (the brush-border effect), and an elevated vessel density associated with newly healed wounds, prior to vascular remodeling, are all discernible from numerical simulations of the full model. Numerical simulations mimic not only the normal progression of wound healing but also the potential for some wounds to fail to heal. Through the development and analysis of a simplified model, insight is gained into how the balance between chemotaxis, tip proliferation, and tip death affects the structure and speed of propagation of the healing unit. Further, expressions defining the healed vessel density and the wavespeed in terms of known parameters lead naturally to the identification of a maximum wavespeed for the wound-healing process and to bounds on the healed vessel density. The implications of these results for wound-healing management are also discussed.

Animals↗

Cell migration in multicell spheroids: swimming against the tide.

Multicell spheroids, small spherical clusters of cancer cells, have become an important in vitro model for studying tumour development given the diffusion limited geometry associated with many solid tumour growths. Spheroids expand until they reach a dormant state where they exhibit a grossly static three-layered structure. However, at a cellular level, the spheroid is demonstrably dynamic with constituent cells migrating from the outer well-nourished region of the spheroid toward the necrotic central core. The mechanism that drives the migrating cells in the spheroid is not well understood. In this paper we demonstrate that recent experiments on internationalization can be adequately described by implicating pressure gradients caused by differential cell proliferation and cell death as the primary mechanism. Although chemotaxis plays a role in cell movement, we argue that it acts against the passive movement caused by pressure differences.

Animals↗

A practical evaluation of five dose-volume histogram reduction algorithms.

A unifying approach to cumulative dose-volume histogram (CDVH) reduction analysis is presented, utilising two weighted linear interpolation models (VWD, DWV), two weighted probability models (VWP, DWP) and a novel integral probability model (IPM). As a test of their predictive value these algorithms were applied to CDVH data generated from lung doses, measured by TLD arrays in a female anthropomorphic phantom. Three arbitrary configurations of breast size and location of "target volume" within the breast were "treated", using an appropriate electron field (Varian Clinac 1800) or double-plane iridium-192 implant. Calculated effective doses from each of the reduction algorithms showed the iridium implant to be dosimetrically the most favourable in two the three configurations. Likewise, complication probabilities, based on a logistic dose-volume response function showed lung complication probabilities to be lower for the interstitial technique in the same situations. All algorithms tested showed reasonable consistency, with the exception of the VWD. The rationale and value of comparative rather than absolute dose-volume histogram analyses are discussed.

Algorithms↗

A mathematical model of tumour-induced capillary growth.

The corneal limbal vessels of an animal host respond to the presence of a source of Tumour Angiogenesis Factor (TAF) implanted in the cornea by the formation of new capillaries which grow towards the source. This neovasculature can be easily seen and studied and this paper describes a mathematical model of some of the important features of the growth. The model includes the diffusion of TAF, the formation of sprouts from pre-existing vessels and models the movement of these sprouts to form new capillaries as a chemotactic response to the presence of TAF. Numerical results are produced for various values of the parameters which characterize the model and it is suggested that the model might form the framework for further theoretical work on related phenomena such as wound healing or to develop strategies for the investigation of anti-angiogenesis.

Angiogenesis Inducing Agents↗