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Mathematical model of oxygen transport in the cerebral cortex.

To estimate the magnitude of hyperemia necessary to support oxidative metabolism in the cerebral cortex during functional activation, a mathematical model of O2 transport from capillary to tissue was developed. Radial and axial gradients of O2 pressure in tissue surrounding a single capillary were calculated at normal and increased cerebral metabolic rates for O2. Cone-shaped tissue geometry and nonlinear oxyhemoglobin dissociation were assumed. Local O2 consumption was assumed to be supported with local tissue pO2 greater than 1 mmHg. The distribution of tissue pO2 was also calculated during moderate hypoxemia (paO2=42 mmHg), using experimental values of red blood cell velocity measured in individual capillaries of the rat cerebral cortex using intravital video-microscopy. The model predicted that moderate increases (</=50%) in cerebral O2 consumption were supported by proportional increases in capillary blood flow. Large increases in O2 consumption (50-110%) were supported by disproportional increases in flow. During moderate hypoxemia, average tissue pO2 decreased but oxygen utilization was sustained when capillary flow was increased to a level measured in experiments. The results suggest a proportional relationship between cerebrocortical blood flow and oxygen consumption in the normal physiological range of functional activation.

Animals↗

Mathematical models for the action of alpha-amylase on amylose.

Mathematical treatments have been developed to describe the action of alpha-amylases on amylose. The treatments are based on the unique properties of the exponential (or most-probable) distribution of molecular weights of the substrate, namely, that (a) the principal averages are invariant to chain-end attack if the product molecules are ignored, and (b) the ratio of the principal averages is invariant to random attack. The relations so developed allow published, qualitative data for the alpha-amylolysis of amylose to be interpreted in a quantitative manner. As a result, it appears that multiple attack is of little or no significance in the action patterns of alpha-amylases, with the exception of those derived from the pancreas.

Amylases↗

A computational solution of mathematical model for oxygen transport in peripheral nerve.

Time-dependent transport of oxygen in a peripheral nerve by simulating oxygen release, diffusion, chemical reactions and consumption in capillaries and surrounding peripheral nerve tissue using Krogh cylinder symmetry has been studied. Radial diffusion of oxygen is from a capillary to a surrounding cylinder tissue and axial diffusion to arterial distance to veins. A monoexponential or bioexponential function characterizes the approach of the oxygen tension to a new value. The time-dependent transport of oxygen in peripheral nerve with forward and backward reactions has been considered in this mathematical model which makes it different from earlier-studied models. A numerical technique has been used to find the solution.

Blood Flow Velocity↗

A mathematical model of the penetration of polycyclic aromatic hydrocarbons through the bronchial lining layer.

The enhanced carcinogenicity of particle-associated polycyclic aromatic hydrocarbons (PAHs) has previously been explained by their prolonged retention in the lung due to the slow release of these substances from their carrier particles. However, the mathematical model presented here indicates that the lipid-aqueous heterogenic structure of the bronchial lining layer (BLL) in itself may constitute the major rate-determining step in the overall transport of PAHs from carrier particles to the bronchial epithelium. Conditions within the BLL are then as important for the resulting cellular burdens of PAHs in the lung as are the properties of the carrier particles for these hydrocarbons. Thus, in addition to other vital functions in the respiratory tract, the lipids in lung surfactant can also be important in protecting the lung from the action of lipophilic carcinogens.

Animals↗

Sperm recovering efficiency, a mathematical model, is designed to objectively evaluate semen processing techniques and methods.

OBJECTIVE: To propose the sperm recovering efficiency (SRE) model, an equation that can be used to objectively quantify the technical skill of individual operators processing semen specimens in an andrology laboratory. Additionally, this equation can be used to compare different semen processing methods and protocols. This model integrates the semen parameters of initial sperm concentration, motility, morphology, and final sperm recovery to produce a unique number that can be used to compare results. DESIGN: A theoretical and deductive analysis. SETTINGS: Private assisted reproductive units. PATIENT(S): None. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Motile progressive and morphologically normal sperm concentration. RESULT(S): The SRE is a mathematical equation that can be used to compare initial semen parameters to postpreparation concentration, progressive motility, and normal morphology. The result is a number between 0 and 1. The model constitutes an objective means for determining the efficiency of a particular technique (gradients, migration, or filtration) or to set up the best conditions for that technique (time, gravities, medium volume, and sample volume). Additionally, the SRE permits comparisons between different operators, media, lots, laboratory conditions, treatments, and sample parameters. It can be used as a tool in laboratory quality control and for multicenter studies. CONCLUSION(S): Sperm recovering efficiency (SRE) is an objective method to compare the results of semen processing techniques.

Cell Separation↗

Mathematical functions for the representation of chromatographic peaks.

About ninety empirical functions for the representation of chromatographic peaks have been collected and tabulated. The table, based on almost 200 references, reports for every function: (1) the most used name; (2) the most convenient equation, with the existence intervals for the adjustable parameters and for the independent variable; (3) the applications; (4) the mathematical properties, in relation to the possible applications. The list includes also equations originally proposed to represent peaks obtained in other analytical techniques (e.g. in spectroscopy), which in many instances have proved useful in representing chromatographic peaks as well; the built-in functions employed in some commercial peak-fitting software packages were included, too. Some of the most important chromatographic functions, i.e. the Exponentially Modified Gaussian, the Poisson, the Log-normal, the Edgeworth/Cramér series and the Gram/Charlier series, have been reviewed and commented in more detail.

Chromatography↗

A nonmathematical view of mathematical models for cancer.

A qualitative view of mathematical models for cancer is presented. The Armitage and Doll multistage and Moolgavkar two-stage models of cancer are discussed in terms of their physical models. Time-related factors for these models as well as some of their characteristics are presented. The effect of age at first exposure, duration of exposure, time since last exposure and stage of carcinogenic effect on risk are detailed.

Age Factors↗

Allosteric regulation of the transcription factor NFAT1 by multiple phosphorylation sites: a mathematical analysis.

NFAT transcription factors are activated through dephosphorylation by the phosphatase calcineurin. Experimental data show that 13 conserved phosphorylation sites conspire to control the transition between an inactive and an active conformation. We propose a quantitative model of the underlying molecular mechanisms that may generally apply to highly phosphorylated proteins. Mathematical analysis shows that multiple phosphorylation sites result in a threshold for protein activation. Its sharpness increases with the number of sites, thus providing a rationale for the involvement of the large number of serine residues in NFAT activation. The model predicts that nuclear kinases exert a larger control on the activation threshold than cytoplasmic kinases, and that the NFAT activation kinetics can discriminate between input signals of different amplitude.

Allosteric Regulation↗

The measurement of distortion: mathematical considerations.

The proposed method for accurately determining the coordinates of given points in a three-dimensional space, along with the mathematical rigid body displacements to move these points into some predefined reference position, builds a complete model of the positional relationships of these points. On this basis additional information can easily be extracted, e.g., the distance between any two given points or the angle in degrees between any two given points or the angle in degrees between any three given points. An important advantage of the procedure is that the normally tedious calculations involved with distortions have been computerized, thus eliminating the tedium of repeated calculations. The possibility of calculation error is also reduced. Perhaps the greatest advantage to the investigator arises from the fact that once the procedural routine has been established and the computer programs written, the entire procedure can be done by technical personnel and does not necessarily require a large time committment from the principal researcher. Also, because of the normally small amount of time needed to read the coordinates and compute the inherent distortions, a set of computed distortions which appear unreasonable may be checked by repeating the entire set of coordinate readings and distortion calculations in a relatively short time.

Analog-Digital Conversion↗

A mathematical model for insulin kinetics. III. Sensitivity analysis of the model.

A non-linear mathematical model involving four variables and several constants incorporating beta-cell kinetics, a glucose-insulin feedback system and a gastrointestinal absorption term had been applied in earlier papers to various forms of diabetes mellitus. In this paper, we examine the response of the system to variations in the parameters and to initial conditions using sensitivity analysis. It is found that such a method leads to results that are consistent with clinical findings. Further, it is suggested that such an analysis could help in making some predictions regarding future directions in the therapy of diabetes mellitus.

Diabetes Mellitus↗

A mathematical model for insulin kinetics. II. Extension of the model to include response to oral glucose administration and application to insulin-dependent diabetes mellitus (IDDM).

A generalized nonlinear mathematical model which incorporates beta-cell kinetics, a glucose-insulin feedback system and a gastrointestinal absorption term for glucose, is presented. Numerical simulations using this model lead to time variations of plasma glucose and insulin levels that are consistent with clinical observations in normal groups. The results obtained after suitable reduction in some of the parameters are in agreement with the clinical profile and laboratory data in insulin-dependent diabetes mellitus (IDDM). Linear stability analysis of the equations shows that there is a change in the nature of the stability in the transition from the normal case to IDDM, and it is the decrease in the beta cell function which causes this change.

Diabetes Mellitus, Type 1↗

Mathematical representation with graphic reconstruction on a microcomputer for an arterial tree.

The branching arterial tree is considered as a collection of numerous points and lines. When treated with vertex analysis, it can be expressed with a new mathematical representation, and graphical reconstruction can be carried out on a microcomputer. This new method is useful for recording an arterial tree precisely on anatomical books or comparing arteries under hypertension with those under normotension in order that the early morphological changes of hypertensive vascular disease can be revealed.

Animals↗

Mathematical model of antiviral immune response. II. Parameters identification for acute viral hepatitis B.

Considering the mathematical model of antiviral immune response, we describe a method of fitting the model to the data characterizing acute viral hepatitis B. The corresponding procedure employs an idea of sequential parameter estimation to make the problem of fitting manageable. The underlying mechanisms responsible for the quantitative manifestations of the four basic phases of acute hepatitis B are used to select the model parameters. The identified model of acute hepatitis B is then tested with regard to the following situations: the effect of HBsAg-specific antibodies on HBV challenge; the vaccination and the resistance to challenge using live hepatitis B virus; the dose of viruses--the incubation time relationships. The sensitivity of the model with respect to parameters variations is then analysed. The developed model allows us to quantitatively simulate the basic features of the antiviral immune response during acute hepatitis B and some closely related phenomena.

Acute Disease↗

A mathematical model of proliferation and aging of cells in culture.

A mathematical model is presented which describes the proliferative senescence of cells in culture. The model is based on the DNA damage hypothesis of cellular aging and is able to account for both the limited and unlimited in vitro proliferative potential of normal and transformed cells. It is predicted that the destiny of a cell population is determined by two counteracting factors: the proliferation rate of the dividable cells and the gene damage accumulation rate. The formation of an immortal cell line requires high rate of proliferation and/or low rate of gene damage accumulation. The related computer simulations on a number of proliferative properties of cell culture produces results in agreement, in the general properties, with experimental observations.

Animals↗

A mathematical model for protein-induced lipid vesicle leakage: interaction of the intermediate filament protein vimentin and its isolated N-terminus with phosphatidylinositol vesicles.

A mathematical model was developed to analyze the leakage of phosphatidylinositol small unilamellar vesicles induced by the intermediate filament protein vimentin and its isolated N-terminal polypeptide. This model describes the kinetic and steady-state characteristics of this vesicle leakage as a direct action of protein on the lipid bilayer. Moreover, qualitative information at the molecular level can be deduced about protein-protein or protein-lipid interactions from the derived initial rate of vesicle leakage and the value of vesicle leakage at steady-state condition as a function of the protein concentration. Additionally, quantitative data on the inhibitory effect of various substances (here Ca2+ or Mg2+) can also be derived. This approach offers a possibility to compare interactions occurring within different protein-lipid systems by determining the characteristic parameters for the respective kinetic and steady-state conditions.

Lipid Bilayers↗

A mathematical model of the mechanism of vertebrate somitic segmentation.

A mathematical model for the mechanism of periodic pattern formation in the process of somitogenesis is proposed. It is assumed that the metameric arrangement first appears before somite formation at the stage of transition of mesodermal cells into a polarized state. The model is based on the assumption that besides the mechanism of contact cell polarization there exists a mechanism of polarization suppression due to excretion of some chemical substance by polarized cells. Periodicity appears as a result of interaction of a kinematic wave of somitogenic cell determination with the cell cycles of mesodermal cells.

Animals↗

Mathematical model of visual perception.

A mathematical model of visual perception is presented with the intention of throwing some light on the problem of perceptual invariance. Two types of differential manifolds (receptive and effector) are associated with the repertoire which is the fundamental concept in the model. The elements of the repertoire carry weights which control the input-output relation in the repertoire and which can be modified by a learning process. It is shown that, under reasonable conditions, these repertoires possess good stability properties and can adjust to the various environments to which they may be subjected. In particular cases, it is shown that the stochastic learning process can be considered as deterministic to a first approximation.

Animals↗