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1.
短QT综合征(short QT syndrome,SQTS)是以心电图QT间期、心室和心房不应期明显缩短为主要显性特征,并伴有晕厥、高发心源性猝死(sudden cardiac death,SCD)和恶性心律失常风险的一类遗传性心肌离子通道病.据目前资料信息,关于SQTS致病机理的报道比较多,而对SQTS药物治疗的报道罕见.为了揭示在SQTS下的药物作用,本文通过计算机仿真构建人体心室细胞和组织的药物作用模型,利用该模型,从亚细胞、细胞、组织三个尺度,模拟SQT1、SQT2和SQT3下的普罗帕酮药物作用过程,并仿真心电图的变化情况.仿真结果表明:在SQT1下普罗帕酮延长了动作电位时程(action potential duration,APD)和心电图QT间期,并降低T波幅值;相反,在SQT2和SQT3下普罗帕酮缩短了APD和QT间期.计算使用药物前后细胞间膜电压和APD空间离散度的变化,定量分析了普罗帕酮降低T波振幅的原因.总之,对SQT1,普罗帕酮有效;对SQT2和SQT3,普罗帕酮没有改变其致心律失常的危险.仿真结果为普罗帕酮用于临床治疗SQTS提供理论参考.  相似文献   

2.
Modelling the interaction of terahertz(THz) radiation with biological tissueposes many interesting problems. THzradiation is neither obviously described byan electric field distribution or anensemble of photons and biological tissueis an inhomogeneous medium with anelectronic permittivity that is bothspatially and frequency dependent making ita complex system to model.A three-layer system of parallel-sidedslabs has been used as the system throughwhich the passage of THz radiation has beensimulated. Two modelling approaches havebeen developed a thin film matrix model anda Monte Carlo model. The source data foreach of these methods, taken at the sametime as the data recorded to experimentallyverify them, was a THz spectrum that hadpassed though air only.Experimental verification of these twomodels was carried out using athree-layered in vitro phantom. Simulatedtransmission spectrum data was compared toexperimental transmission spectrum datafirst to determine and then to compare theaccuracy of the two methods. Goodagreement was found, with typical resultshaving a correlation coefficient of 0.90for the thin film matrix model and 0.78 forthe Monte Carlo model over the full THzspectrum. Further work is underway toimprove the models above 1 THz.  相似文献   

3.
Nowadays, there is a growing consensus on the impact of mechanical loading on bone biology. A bone chamber provides a mechanically isolated in vivo environment in which the influence of different parameters on the tissue response around loaded implants can be investigated. This also provides data to assess the feasibility of different mechanobiological models that mathematically describe the mechanoregulation of tissue differentiation. Before comparing numerical results to animal experimental results, it is necessary to investigate the influence of the different model parameters on the outcome of the simulations. A 2D finite element model of the tissue inside the bone chamber was created. The differentiation models developed by Prendergast, et al. [“Biophysical stimuli on cells during tissue differentiation at implant interfaces”, Journal of Biomechanics, 30(6), (1997), 539–548], Huiskes et al. [“A biomechanical regulatory model for periprosthetic fibrous-tissue differentiation”, Journal of Material Science: Materials in Medicine, 8 (1997) 785–788] and by Claes and Heigele [“Magnitudes of local stress and strain along bony surfaces predict the course and type of fracture healing”, Journal of Biomechanics, 32(3), (1999) 255–266] were implemented and integrated in the finite element code. The fluid component in the first model has an important effect on the predicted differentiation patterns. It has a direct effect on the predicted degree of maturation of bone and a substantial indirect effect on the simulated deformations and hence the predicted phenotypes of the tissue in the chamber. Finally, the presence of fluid also causes time-dependent behavior.

Both models lead to qualitative and quantitative differences in predicted differentiation patterns. Because of the different nature of the tissue phenotypes used to describe the differentiation processes, it is however hard to compare both models in terms of their validity.  相似文献   

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