首页> 外文会议>International Association of Science and Technology for Development International Conference on Modelling, Simulation and Identification >DYNAMICS MODELLING OF SWITCHING ADEFOVIR DIPIVOXIL TO ENTECAVIR ANTI-HBV INFECTION PERSONALIZED THERAPY
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DYNAMICS MODELLING OF SWITCHING ADEFOVIR DIPIVOXIL TO ENTECAVIR ANTI-HBV INFECTION PERSONALIZED THERAPY

机译:切换Adefovir Dipivoxil对Entecavir抗HBV感染个性化治疗的动力学建模

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Adefovir dipivoxil (AD) is a potent inhibitor of hepatitis B virus (HBV). There are over 50% HBeAg-positive chronic hepatitis B (CHB) patients who respond the AD therapy. However clinical remission (low HBV DNA and Normal ALT) in 60% of patients who discontinued adefovir after 4~5 years. The aim of this study was to observe the efficacy of a patient's therapy for switching AD to Entecavir (EV), and modeling the viral dynamics. Based on a patient's AD and EV therapy clinic serum HBV DNA data, we propose an anti-HBV therapy dynamic model, and determine the model parameters. The numerical simulations of the model show that the calculated HBV DNA levels are agreement with in the patient's clinic serum HBV DNA data. The model predicts that if the patient's immune ability can be kept as the same as that in 172 weeks' follow up, the therapy benefit can continue, and all infected cells will be replaced by normal ones after 13.5 years.
机译:AdeFovir Dipivoxil(Ad)是一种乙型肝炎病毒(HBV)的有效抑制剂。 有超过50%的HBEAG阳性慢性乙型肝炎(CHB)患者响应AD治疗。 然而,临床缓解(低HBV DNA和正常的ALT),60%的患者在4〜5年后停止了Adefovir。 本研究的目的是观察患者治疗切换到Entecavir(EV)的疗效,并建模病毒动力学。 基于患者的广告和EV治疗临床血清HBV DNA数据,我们提出了抗HBV治疗动态模型,并确定了模型参数。 该模型的数值模拟表明,计算的HBV DNA水平与患者临床血清HBV DNA数据一致。 该模型预测,如果患者的免疫能力可以保持与172周后的后续的相同,则治疗益处可以继续,并且在13.5岁后,所有感染的细胞将被正常的细胞更换。

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