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A mathematical representation for vessel network III.

The loop vascular network is found frequently within biological tissue, but a schematic characterization of the loop vascular network is at present difficult to describe. The reason is that the topographical feature of vessel loop can change during maturation. In this article, we treat the mathematical representation of the loop vessel network, and discuss the application of this to the increased vascular resistance in hypertensive animals resulting from microvascular rarefaction. On the other hand, the number of regions into which the tissue plane is divided by n bifurcational tree branches is derived from recurrence relation.

Arterioles↗

Mathematical modelling of dynamics and control in metabolic networks. I. On Michaelis-Menten kinetics.

As a starting point for modeling of metabolic networks this paper considers the simple Michaelis-Menten reaction mechanism. After the elimination of diffusional effects a mathematically intractable mass action kinetic model is obtained. The properties of this model are explored via scaling and linearization. The scaling is carried out such that kinetic properties, concentration parameters and external influences are clearly separated. We then try to obtain reasonable estimates for values of the dimensionless groups and examine the dynamic properties of the model over this part of the parameter space. Linear analysis is found to give excellent insight into reaction dynamics and it also gives a forum for understanding and justifying the two commonly used quasi-stationary and quasi-equilibrium analyses. The first finding is that there are two separate time scales inherent in the model existing over most of the parameter space, and in particular over the regions of importance here. Full modal analysis gives a new interpretation of quasi-stationary analysis, and its extension via singular perturbation theory, and a rationalization of the quasi-equilibrium approximation. The new interpretation of the quasi-steady state assumption is that the applicability is intimately related to dynamic interactions between the concentration variables rather than the traditional notion that a quasi-stationary state is reached, after a short transient period, where the rates of formation and decomposition of the enzyme intermediate are approximately equal. The modal analysis reveals that the generally used criterion for the applicability of quasi-stationary analysis that total enzyme concentration must be much less than total substrate concentration, et much less than St, is incomplete and that the criterion et much less than Km much less than St (Km is the well known Michaelis constant) is the appropriate one. The first inequality (et much less than Km) guarantees agreement over the longer time scale leading to quasi-stationary behavior or the applicability of the zeroth order outer singular perturbation solution but the second half of the criterion (Km much less than St) justifies zeroth order inner singular perturbation solution where the substrate concentration is assumed to be invariant. Furthermore linear analysis shows that when a fast mode representing the binding of substrate to the enzyme is fast it can be relaxed leading to the quasi-equilibrium assumption. The influence of the dimensionless groups is ascertained by integrating the equations numerically, and the predictions made by the linear analysis are found to be accurate.(ABSTRACT TRUNCATED AT 400 WORDS)

Diffusion↗

On the mathematics of digesta flow kinetics.

A unifying mathematical analysis of the use of compartmental models with and without time lags is given, with particular reference to the use of such models for digesta movement along the gastro-intestinal tract of the ruminant. First the generalized compartmental model without time lags is developed, and then it is shown how discrete time lags may be incorporated into this formalism. The important relationship between distributed lags, especially the gamma-distributed time lags, and the equivalent compartmental scheme, is emphasized. It is shown how distributed time lags can be included in a general compartmental model. The treatment covers, as special cases, some widely used models, and shows their relationship to each other and to other possible models. Finally a compartmental interpretation is outlined for a recently proposed double-exponential model.

Animals↗

Mathematical modelling of dynamics and control in metabolic networks. IV. Local stability analysis of single biochemical control loops.

The objective of the study presented herein is to describe the dynamic behavior of a single biochemical control loop, a simple system but an important element of metabolic networks. This loop is a self-regulated sequence of reactions that converts an initial substrate (S) into a final product (P). It consists of three basic elements: (1) a regulated reaction, where the concentration of P controls the flux (I) into the system. This element serves as the control element in the feedback circuit. (2) a sequence of unregulated reactions that leads to the formation of P. This process is to be regulated so that the production rate of P meets a desired target. (3) a process (R) that removes P from the loop to another part of the metabolic network. A mathematical description is formulated that consists of two differential equations and two unspecified functions that represent the reaction rates of I and R. This description is scaled to clarify functional dependence and to attempt a separation of genetic and process determined parameters. The global dynamic behavior of the model is assessed qualitatively by examining the occurrence of static and dynamic bifurcations, multiple steady states or sustained oscillations respectively, via local stability analysis. General criteria for both types of bifurcations are developed without specifying the functional form of I and R, but explicitly accounting for the kinetic properties of the reaction chain. A particularly simple criterion is found for static bifurcations which can appear only for loops with positive feedback, i.e. when the regulated reaction is activated by P. This criterion only contains the properties of I and R. The criteria for dynamic bifurcations, which occur when the feedback interaction is inhibitory, are more complex. These depend strongly on the properties of the reaction chain, and oscillations are favored if the dynamic operator describing the reaction sequence is of high order or if it contains time delays.

Feedback↗

A mathematical model of pattern formation.

This paper presents an explicit mathematical model describing pattern formation in monolayer epithelia. The approach is a generalization of the equations describing soap bubble configurations (Plateau, 1873; Thompson, 1917; Almgren & Taylor, 1976) that allows adjacent cells to adhere with differing intensities (Steinberg, 1962, 1978). The model is a system of simultaneous non-linear equations that considers cell-cell interactions in a two-dimensional sheet. The implementation involves using the equations of the model to predict explicitly the energy-minimizing configuration of a system of cells, based on the adhesivity of their membranes. The model can thus be used to explore the effects of varying adhesions on the dynamics of pattern formation. Following Chichilnisky (1985), such a descriptive system is introduced in this paper, and its predictive properties explored.

Cell Aggregation↗

Sensitivity of RNA synthesis to actinomycin D inhibition is dependent on the frequency of transcription: a mathematical model.

The synthesis of ribosomal RNA is known to be up to 100-fold more sensitive to inhibition by actinomycin D than is messenger RNA. A model is presented here to explain the dose-response kinetics of this inhibition. The basic concept is that on very actively transcribed genes, such as ribosomal DNA, the first bound actinomycin D will sterically affect those densely packed polymerase molecules between it and the promoter, causing them to stack up into the promoter and interfere with the initiation of RNA synthesis. However, on less active genes, where the polymerases are widely spaced, the drug will inhibit individual polymerasas independently and only at the actinomycin blockade. Counteracting these inhibitory effects will be the tendency of genes bound with actinomycin to accumulate additional polymerases. A mathematical model is described which successfully explains previously reported dose-response kinetics of actinomycin inhibition in both frequently and infrequently transcribed genes. The analysis indicates that actinomycin inhibition is dependent on both polymerase packing and on gene size. The dose-response kinetics can be used to estimate both the size and transcriptional efficiency of individual genes. The model is also able to explain several other independent observations regarding the kinetics of inhibition of RNA synthesis by actinomycin.

Dactinomycin↗

A mathematical model for insulin kinetics and its application to protein-deficient (malnutrition-related) diabetes mellitus (PDDM).

A nonlinear mathematical model which incorporates both beta-cell kinetics and a glucose-insulin feedback system is proposed for describing the time variations of plasma glucose and insulin levels. Numerical simulations show that this model is consistent with experimental observations on normal groups. An analysis of the changes in the solutions with variations in the parameters showed that a decrease in a single parameter gave results consistent with experimental findings in protein-deficient (malnutrition-related) diabetes mellitus (PDDM). The model predicts that it is the function and not the number of beta cells which is reduced in PDDM.

Blood Glucose↗

A mathematical approach enabling the calculation of the total endolymph flow in the semicircular ducts.

1. A mathematical treatment of the flow inside the vertebrate labyrinth is given. The main difference to former theories (e.g. the "torsion pendulum" theory) is that the entire system formed by the three semicircular ducts, interconnected by the crus commune and the utriculus, is considered, instead of a single duct circuit. 2. The theory consists of a geometrical description of a labyrinth rotating in space, the solution of the continuity equation, determination of the initial velocities in all the ducts in a "cupulometry" experiment and derivation of the equation of motion (e.o.m.). 3. Equations for a system consisting of two ducts and for the classical single-duct system are special cases of the three-duct system. 4. Three different methods for the solution of the e.o.m. are described: an analytical one, a Runge-Kutta simulation and an "asymptotic" method. The last method includes approximations of the solution of the e.o.m. on a long and a short time scale. Its advantage is that it gives an insight based on rather manageable formulae. 5. The physiological basis of the presented theory, biological applications and verification are given in a separate paper (Muller & Verhagen, 1988).

Animals↗

A mathematical model of recombinational amplification of the 2 mu plasmid in the yeast Saccharomyces cerevisiae.

A mathematical model of 2 mu plasmid recombinational amplification in Saccharomyces cerevisiae has been developed, based on mechanisms of 2 mu recombination and replication presented in the literature. A probabilistic description reveals the limits inherent in the recombinational mode of plasmid amplification. These limits correspond well with values calculated from reported results. In the model, copy number control is effected by the constitutive expression of a repressor of recombinase expression. Estimation of the model parameters is accomplished via a set of heuristic rules which restrict the feasible parameter space considerably. It is demonstrated that many parameter sets arbitrarily chosen from the feasible parameter space reproduce the observed characteristics of 2 mu plasmid amplification: rapid correction of downward copy number deviations, with a lack of strict control of steady-state copy number.

DNA Replication↗

A mathematical model of the exercise functional state of the oxygen transport system.

Based on the principle of minimum power, a mathematical model of the exercise functional state of the oxygen transport system is presented. Aerobic and anaerobic muscular efficiencies are considered. The energetically optimal arteriovenous oxygen content difference, cardiac output and ventilation during exercise in man are determined depending on mechanical power. Theoretical results are compared with experimental data.

Animals↗

Mathematical modeling of mortality dynamics of mammalian populations exposed to radiation.

A mathematical model is developed which describes the dynamics of radiation-induced mortality of a non-homogeneous (in radiosensitivity) mammalian population. It relates statistical biometric functions with statistical and dynamic characteristics of a critical system in organism of specimens composing this population. The model involves two types of distributions, the normal and the log-normal, of population specimens with respect to the radiosensitivity of the critical system cells. This approach suggests a new pathway in developing the methods of radiation risk assessment.

Animals↗

A mathematical model of breast and ovarian cancer treated with paclitaxel.

A mathematical model that describes the effects of cell-cycle-specific drugs on cancer and normal tissue is developed. The model takes into account the proliferating cells, which are sensitive to the treatment, and the quiescent cells, which are resistant to the treatment. With the use of information from the medical literature, model parameters are estimated for breast and ovarian cancer as well as for bone marrow. Then, with the use of the model and the estimated parameters, some acceptable treatment strategies are discussed in terms of treatment period, drug-infusion time, and proliferative fraction of cancer mass. Finally, these results are compared with current clinical practices for treatment with Taxol, and possible improvements on current treatment strategies are suggested.

Antineoplastic Agents, Phytogenic↗

Mathematical description of synergistic interaction of hyperthermia and ionizing radiation.

A simple mathematical model of simultaneous combined action of ionizing radiation and hyperthermia has been proposed. The model suggests that the synergistic interaction of ionizing radiation and hyperthermia is expected to result from the additional lethal damage arising from the interaction of sublesions induced by both agents. These sublesions are considered nonlethal after each agent taken alone. The model was applied to the quantitative analysis of the simultaneous action of hyperthermia and ionizing radiation. It predicts the dependence of synergistic interaction of the ratio of lethal events produced by every agent used, as well as the maximal value of the synergistic effect, conditions at which the maximal interactive effect can be achieved, and the dependence of synergistic effect on dose rate. The predictions of the model have been tested with four experimental data sets reported in the literature. The theory appears to be appropriate and the conclusions valid.

Animals↗

Mathematical relationships among DNA supercoiling, cation concentration, and temperature for prokaryotic transcription.

DNA twist has been proposed to affect transcription from some promoters of Escherichia coli, but involvement of twist has been difficult to test because it cannot be measured in transcription reaction mixtures. However, changes in other factors affect both DNA twist and transcription. These parameters are expected to be related when maximum transcription initiation is considered. In the present work, mathematical relationships among supercoiling, cation concentration, and temperature are derived for prokaryotic transcription initiation. The relationships indicate that as DNA becomes more negatively supercoiled, maximal initiation occurs at a higher cation concentration and at a lower temperature. For example, when superhelical density becomes more negative by 0.0025, a 1.6-fold increase in potassium concentration is predicted to be required to maintain transcription initiation at its maximum rate. Experimental verification of the relationships should provide a useful test of the idea that transcription initiation is sensitive to DNA twist.

DNA, Superhelical↗

Asbestos body concentrations in human lung: predictions from asbestos body counts in tissue sections with a mathematical model.

A mathematical model for predicting the concentration (Nv) of asbestos bodies (AB) in human tissue from the count (No) of these bodies in planar tissue sections is presented. The result is the equation Nv = No/[0.54 X A X (La + t)], giving the concentration of AB in numbers per gram of wet lung tissue. La, the average length (in microns) of the AB, is specific for each case; A is the area (square millimeters) of the tissue counted, and t is the thickness of the section (in microns). This equation fits experimental digestion results to a multiplicative error factor of less than 3. When an estimate of La, such as 51.6 microns, is used, the equation is less accurate but probably sufficiently accurate for the screening of lung specimens.

Asbestos↗

Field evaluation of a mathematical model of PCB transfer through the freshwater aquatic food chain.

A mathematical model of the transfer of PCBs through the freshwater aquatic food chain is described. The model predicts concentrations of 11 selected individual PCB congeners in forage fish and pike, from source terms of atmospheric deposition and watershed soil concentrations. Model performance has been evaluated using data from a field study conducted in a section of the River Severn near Birmingham, UK. Results demonstrate that with the exception of congener 52, overall model predictions of individual PCB concentrations in both forage fish and pike underestimate measured concentrations by factors of between approximately 3 and 25 for individual congeners. Closer examination suggests that whilst model equations contribute to these underestimations, a significant factor is the lack of knowledge of additional PCB inputs to the waterbody.

Animals↗

Stretch-induced changes in heart rate and rhythm: clinical observations, experiments and mathematical models.

Clinical and research data indicate that active and passive changes in the mechanical environment of the heart are capable of influencing both the initiation and the spread of cardiac excitation via pathways that are intrinsic to the heart. This direction of the cross-talk between cardiac electrical and mechanical activity is referred to as mechano-electric feedback (MEF). MEF is thought to be involved in the adjustment of heart rate to changes in mechanical load and would help to explain the precise beat-to-beat regulation of cardiac performance as it occurs even in the recently transplanted (and, thus, denervated) heart. Furthermore, there is clinical evidence that MEF may be involved in mechanical initiation of arrhythmias and fibrillation, as well as in the re-setting of disturbed heart rhythm by 'mechanical' first aid procedures. This review will outline the clinical relevance of cardiac MEF, describe cellular correlates to the responses observed in situ, and discuss the role that quantitative mathematical models may play in identifying the involvement of cardiac MEF in the regulation of heart rate and rhythm.

Animals↗

Experimental study and mathematical modeling of the interaction between antibodies and antigens on the surface of liposomes.

Unilamellar liposomes with incorporated hapten-phospholipid conjugates were proposed as models of polyvalent antigens with migrating determinants for quantitative analysis of their interaction with antibodies. The monovalent pesticide atrazine was used as a model antigen. For its incorporation into the lipid bilayer, the atrazine carboxylated derivative was conjugated with dimyristoylphosphatidylethanolamine (DMPE). Unilamellar liposomes were prepared with dimyristoylphosphatidylcholine/atrazine-DMPE at molar ratios of 90:10, 95:5, 98:2, 99:1 and 99.5:0.5. Their interaction with the peroxidase-labeled anti-atrazine antibodies was studied by enzyme immunoassay and polarization fluoroimmunoassay techniques. It was shown that the increase in hapten content in the liposomes from 0.5 to 10 mol% led to an increase in the equilibrium constants of the interaction with antibodies from 0.093 x 10(8) to 0.303 x 10(8)M-1. The association rate constants varied from 1.45 x 10(5) to 15.5 x 10(5)M-1 s-1 depending on the antigen content in liposomes and experimental conditions. The measured constants were applied for a mathematical model describing multi-step interaction between antibodies and polyvalent liposomal antigens. The model adequately describes the quantitative regularities of the influence of antigen content and the affinity of immunochemical interaction on the quantity and the dynamics of the immune complexes forming.

Animals↗