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At least 1,135 records · Page 63Linked to original sources
PubMedDate not supplied

Computer simulation of ventricular wall motion using the finite element method.

To investigate how changes in the mechanical characteristics of the myocardium caused by cardiac diseases affect ventricular wall motion, a new computer program to simulate wall motion using the finite element method has been developed. A simple two-dimensional finite element model of the left ventricle is designed with an idealized tension-length curve applied to each element. Pathological changes in the ischemic process are induced in a certain portion of the model to make it possible to evaluate the relationship between the type and degree of changes and abnormal ventricular wall motion (i.e., hypokinesis, akinesis, and dyskinesis). Assumption of plastic deformation at the affected site of the model reproduced the genesis of a ventricular aneurysm. The model is then transformed into a three-dimensional wire frame structure, and the results can viewed from any perspective. These simulations enable the semiquantitative comprehension of cardiac wall motion without need for complicated physiological experiments and may be applied to human cardiac motion in combination with data obtained from cardiac scintigraphy, echocardiography, ventriculography, or cine-CT.

Computer Simulation↗
PubMed2005

Computational simulation of axial dynamization on long bone fractures.

BACKGROUND: Axial dynamization has been shown in previous studies to promote callus formation, improve bone healing at fracture sites, and enhance bone remodeling. However, the possibility of non-axial movements or uniform fracture site compression during dynamization, and the appropriate relaxation of fixator joints to achieve such function, have not been investigated. METHODS: This study used previously developed computational models based on two commercially available unilateral external fixators (Dynafix and Orthofix) to analyze the fixator joint adjustments used and the fracture site movements generated during dynamization. FINDINGS: When none of the fixator's sliding joints were parallel to the long bone axis, significant non-axial movements occurred during dynamization. The dual sliding joint design of the Dynafix fixator was beneficial in reducing these non-axial movements. When all of the fixator joints were allowed to adjust simultaneously during dynamization, exact axial movement or uniform compression at a complicated fracture site was achievable. INTERPRETATION: This study revealed that significant non-axial movements may occur during dynamization, and that such a deficiency can be corrected by relaxing certain fixator joints in addition to the sliding mechanism. The same modeling technique can also be applied in bone lengthening application to assure desirable limb alignment during the distraction process. These analysis results can aid the performance assessment of an external fixator and facilitate appropriate application of such a device to achieve either active or controlled axial movement.

Computer Simulation↗
PubMed2004

Peptides and proteins in membranes: what can we learn via computer simulations?

Membrane and membrane-active peptides and proteins play a crucial role in numerous cell processes, such as signaling, ion conductance, fusion, and others. Many of them act as highly specific and efficient drugs or drug targets, and, therefore, attract growing interest of medicinal chemists. Because of experimental difficulties with characterization of their spatial structure and mode of membrane binding, essential attention is given now to molecular modeling techniques. During the last years an important progress has been achieved in molecular dynamics (MD) and Monte Carlo (MC) simulations of peptides and proteins with explicit and/or implicit theoretical models of membranes. The first ones allow atomic-resolution studies of peptides behavior on the membrane-water interfaces. Models with implicit consideration of membrane are of a special interest because of their computational efficiency and ability to account for principal trends in protein-lipid interactions. In this approximation, the bilayer is usually treated as continuum whose properties vary along the membrane thickness, and membrane insertion is simulated using either MC or MD methods. This review surveys recent applications of both types of lipid bilayer models in computer simulations of a wide variety of peptides and proteins with different biological activities. Theoretical background of the membrane models is considered with examples of their applications to biologically relevant problems. The emphasis of the review is made on recent MC and MD computations, on structural and/or functional information, which may be obtained via molecular modeling. The approximations and shortcomings of the models, along with their perspectives in design of new membrane active drugs, are discussed.

Animals↗
PubMed2004

Effects of sodium-calcium exchange inhibitors, KB-R7943 and SEA0400, on aconitine-induced arrhythmias in guinea pigs in vivo, in vitro, and in computer simulation studies.

The sodium-calcium exchange (NCX) plays a pivotal role in regulating contractility and electrical activity in the heart. However, the effects of NCX blockers on ventricular arrhythmias are still controversial. We examined the effects of KB-R7943 (KBR) and SEA0400 (SEA), two NCX blockers, on aconitine-induced arrhythmias in guinea pigs using the ECG recordings and the current-clamp method. Using Luo's and Rudy's computer model (1991 Circ Res 68:1501-1526) for ventricular myocytes, we simulated abnormal membrane activity produced by NCX inhibition. In the whole-animal model, KBR in a dose range of 1 to 30 mg/kg (intravenous) suppressed aconitine-induced arrhythmias dose-dependently, but 10 mg/kg of SEA did not suppress these arrhythmias. There was a difference in isolated ventricular myocytes also. KBR (10 microM) suppressed abnormal electrical activity induced by aconitine, but SEA (100 microM) did not show such effects. KBR (10 microM) significantly changed the shape of the action potential configurations (action potential duration at 50% repolarization), but SEA (1-100 microM) did not change these configurations. In the computer simulation study, the aconitine-induced abnormal electrical activity was mimicked by a negative shift of the kinetics of Na+ channels, and this was followed by additional suppression of NCX activity by 90% (mimicking the effect of NCX inhibitors), which enhanced abnormal membrane activity. Our results indicate that the inhibition of aconitine-induced arrhythmias by KBR, not by SEA, might result from a mechanism other than the inhibition of NCX, and thus the involvement of the NCX system plays an insignificant role in the aconitine-induced arrhythmias.

Aconitine↗
PubMedDate not supplied

[Computer simulation of ESR signals of liver paramagnetic centers].

Changes of paramagnetic centres concentration characterized by g-factors values of 1.94, 2.2, and 2.03 in the rat liver were studied by ESR method under acute intoxication by diethylnitrosamine (DENA) and at preliminary threefold treatment of animals with butylhydroxytoluene (BHT). A protective effect of BHT can be explained by its stabilizing action of the membrane structures. A comparison has been carried out with a similar study of paramagnetic centres in the experiment of chronic intoxication by DENA. A simulation was performed of the liver tissue ESR spectra by means of special computer program. The parameters of simulated ESR spectra of the liver tissue with due regard for ESR signal g 2.03 corresponded to the parameters of the experimental spectra. Confirmations were obtained for the nature and number of paramagnetic centres in the liver tissue.

Animals↗
PubMed1991

Computer simulation of overdrive pacing during atrioventricular reentrant tachycardia.

The study used a computer model of cardiac excitation to reproduce atrioventricular (AV) reentrant tachycardia and to evaluate the possibility of its termination by overdrive burst pacing. The model simulated activation waves radiating along a one-dimensional circular pathway, the portions of which represented the atrial, AV nodal, His-Purkinje, ventricular, and bypass parts of the tachycardia circuit. The pathway consisted of 289 elements. Only depolarised and resting states of elements were modelled. Differential refractoriness and conduction velocity for each element and the cycle length dependence of AV nodal decremental conduction were introduced. The experiments with the model examined the ability of overdrive 'on-circuit' pacing to terminate the tachycardia in order to determine the relevance of: (a) the coupling interval of the first beat in the burst; (b) the cycle length of the burst; (c) the number of stimuli in the burst; (d) His-Purkinje refractoriness; and (e) the degree of AV nodal decremental conduction. The results suggested that: (A) the general impression of a regular recovery wave and of a regular excitable window moving uniformly along the macro-reentrant circular path is incorrect; (B) the use of overdrive bursts of several stimuli with a short coupling interval has unpredictable effects; (C) the use of faster bursts with a cycle length only slightly shorter than the tachycardia cycle length is more safe (with respect to tachycardia reinitiation) and for certain combinations of the coupling interval and cycle length, prolonged bursts do not reinitiate the tachycardia; (D) the likelihood of tachycardia termination is increased by prolonging the refractoriness of the tachycardia circuit and by reducing AV nodal decremental conduction.

Cardiac Pacing, Artificial↗
PubMed2005

Computer simulation of epilepsy: implications for seizure spread and behavioral dysfunction.

Hippocampal area CA3 has been one of the most intensively studied brain regions for computer models of epileptiform activity. As physiological studies begin to extend outward to other hippocampal and parahippocampal areas, we must extend these models to understand more complex circuitry containing diverse elements. Study of subiculum is of particular interest in this context, as it is a structure of intermediate complexity, with an inchoate columnar and laminar organization. In addition to helping us understand seizures, modeling of these structures will also help us understand the genesis of physiological activity patterns that are below threshold for seizure generation. Such modeling can also serve as a basis for speculation regarding the nonictal behavioral consequences of epilepsy.

Behavior↗