乙型肝炎病人重叠感染丙型肝炎的评价

应用ＥＬＩＳＡ和ＰＣＲ法检测５０２例乙肝病人血清,４０１例ＨＢｓＡｇ阳性血清中,有１１４例（２８．４％）抗－ＨＣＶ和ＨＣＶＲＮＡ双项阳性,２５例（６．２％）ＨＣＶＲＮＡ单项阳性;２１例（５．２％）抗－ＨＣＶ单项阳性。将ＨＢｓＡｇ乙肝病人分成ＨＢＶＤＮＡ,ＨＢｅＡｇ阳性组和ＨＢＶＤＮＡ,ＨＢｅＡｇ阴性组。前者抗－ＨＣＶ阳性率为１１．６％～２０．５％,ＨＣＶＲＮＡ阳性率为１６．２％～２０．５％。后者抗－ＨＣＶ阳性率为２０．２％～５５．６％,ＨＣＶＲＮＡ阳性率为２３％～６０．３％。结果说明长期携带ＨＢＶ者和慢性乙肝病人均可重叠ＨＣＶ感染。ＨＢＶＤＮＡ阳性组抗－ＨＣＶ和ＨＣＶＲＮＡ阳性率明显高于ＨＢＶＤＮＡ阳性组     

A Protocol for Analyzing Hepatitis C Virus Replication

Hepatitis C Virus (HCV) affects 3% of the world’s population and causes serious liver ailments including chronic hepatitis, cirrhosis, and hepatocellular carcinoma. HCV is an enveloped RNA virus belonging to the family Flaviviridae. Current treatment is not fully effective and causes adverse side effects. There is no HCV vaccine available. Thus, continued effort is required for developing a vaccine and better therapy. An HCV cell culture system is critical for studying various stages of HCV growth including viral entry, genome replication, packaging, and egress. In the current procedure presented, we used a wild-type intragenotype 2a chimeric virus, FNX-HCV, and a recombinant FNX-Rluc virus carrying a Renilla luciferase reporter gene to study the virus replication. A human hepatoma cell line (Huh-7 based) was used for transfection of in vitro transcribed HCV genomic RNAs. Cell-free culture supernatants, protein lysates and total RNA were harvested at various time points post-transfection to assess HCV growth. HCV genome replication status was evaluated by quantitative RT-PCR and visualizing the presence of HCV double-stranded RNA. The HCV protein expression was verified by Western blot and immunofluorescence assays using antibodies specific for HCV NS3 and NS5A proteins. HCV RNA transfected cells released infectious particles into culture supernatant and the viral titer was measured. Luciferase assays were utilized to assess the replication level and infectivity of reporter HCV. In conclusion, we present various virological assays for characterizing different stages of the HCV replication cycle.     

Hepatitis C virus experimental model systems and antiviral drug research

An estimated 130 million people worldwide are chronically infected with hepatitis C virus (HCV) making it a leading cause of liver disease worldwide. Because the currently available therapy of pegylated interferon-alpha and ribavirin is only effective in a subset of patients, the development of new HCV antivirals is a healtheare imperative. This review discusses the experimental models available for HCV antiviral drug research, reeent advanees in HCV antiviral drug development, as well as active research being pursued to facilitate development of new HCV-speeifie therapeutics.     

A stochastic metapopulation model accounting for habitat dynamics

A stochastic metapopulation model accounting for habitat dynamics is presented. This is the stochastic SIS logistic model with the novel aspect that it incorporates varying carrying capacity. We present results of Kurtz and Barbour, that provide deterministic and diffusion approximations for a wide class of stochastic models, in a form that most easily allows their direct application to population models. These results are used to show that a suitably scaled version of the metapopulation model converges, uniformly in probability over finite time intervals, to a deterministic model previously studied in the ecological literature. Additionally, they allow us to establish a bivariate normal approximation to the quasi-stationary distribution of the process. This allows us to consider the effects of habitat dynamics on metapopulation modelling through a comparison with the stochastic SIS logistic model and provides an effective means for modelling metapopulations inhabiting dynamic landscapes.     

A stochastic flowering model describing an asynchronically flowering set of trees

A general stochastic model is presented that simulates the time course of flowering of individual trees and populations, integrating the synchronization of flowering both between and within trees. Making some hypotheses, a simplified expression of the model, called the 'shoot' model, is proposed, in which the synchronization of flowering both between and within trees is characterized by specific parameters. Two derived models, the 'tree' model and the 'population' model, are presented. They neglect the asynchrony of flowering, respectively, within trees, and between and within trees. Models were fitted and tested using data on flowering of Psidium cattleianum observed at study sites at elevations of 200, 520 and 890 m in Reunion Island. The 'shoot' model fitted the data best and reproduced the strong irregularities in flowering shown by empirical data. The asynchrony of flowering in P. cattleianum was more pronounced within than between trees. Simulations showed that various flowering patterns can be reproduced by the 'shoot' model. The use of different levels of organization of the general model is discussed.     

丙型肝炎病毒准种在NS2区的变异状况初探

探讨HCV准种在NS2区的基因结构特征及变异状况。利用逆转录－巢式PCR从1份HCV慢性携带者的阳性血清及1份丙肝患者的血清中获得HCV NS2全长cDNA,将其克隆于T载体,各随机挑取5个阳性克隆进行序列测定,结果显示克隆到HCV NS2全长基因,所测克隆在核苷酸水平和氨基酸水平互不相同。该慢性携带者HCV NS2区序列以完整读码框架（ORF）为主,一个于HCV多聚蛋白第835位氨基酸的位置出现终止信号,而该丙型肝炎患者以NS2N端发现终止信号的序列为主,其中三个于第835位氨基酸的位置出现终止信号,一个于第887位氨基酸的位置出现终止信号,仅一个克隆的序列为完整ORF。对ORF完整的序列进行比较,发现丙型肝炎患者氨基酸变异主要集中于N端,蛋白二级结构模拟显示丙肝患者NS2与慢性携带者的优势二级结构类似,研究表明从我们选择的两种感染者的HCV NS2序列看,不同临床类型的HCV病人体内的HCV准种在NS2区存在差异,这种差异可能与病毒存在于机体的状态一定的一致性。     

A stochastic SIR model with contact-tracing: large population limits and statistical inference

This paper is devoted to the presentation and study of a specific stochastic epidemic model accounting for the effect of contact-tracing on the spread of an infectious disease. Precisely, one considers here the situation in which individuals identified as infected by the public health detection system may contribute to detecting other infectious individuals by providing information related to persons with whom they have had possibly infectious contacts. The control strategy, which consists of examining each individual who has been able to be identified on the basis of the information collected within a certain time period, is expected to efficiently reinforce the standard random-screening-based detection and considerably ease the epidemic. In the novel modelling of the spread of a communicable infectious disease considered here, the population of interest evolves through demographic, infection and detection processes, in a way that its temporal evolution is described by a stochastic Markov process, of which the component accounting for the contact-tracing feature is assumed to be valued in a space of point measures. For adequate scalings of the demographic, infection and detection rates, it is shown to converge to the weak deterministic solution of a PDE system, as a parameter n, interpreted as the population size, roughly speaking, becomes larger. From the perspective of the analysis of infectious disease data, this approximation result may serve as a key tool for exploring the asymptotic properties of standard inference methods such as maximum likelihood estimation. We state preliminary statistical results in this context. Eventually, relations of the model with the available data of the HIV epidemic in Cuba, in which country a contact-tracing detection system has been set up since 1986, is investigated and numerical applications are carried out.     

A stochastic model of evolutionary dynamics with deterministic large-population asymptotics

An evolutionary birth-death process is proposed as a model of evolutionary dynamics. Agents residing in a continuous spatial environment X, play a game G, with a continuous strategy set S, against other agents in the environment. The agents’ positions and strategies continuously change in response to other agents and to random effects. Agents spawn asexually at rates that depend on their current fitness, and agents die at rates that depend on their local population density. Agents’ individual evolutionary trajectories in X and S are governed by a system of stochastic ODEs. When the number of agents is large and distributed in a smooth density on (X,S), the collective dynamics of the entire population is governed by a certain (deterministic) PDE, which we call a fitness-diffusion equation.     

一株丙型肝炎病毒缺陷株NS5A基因片段的序列分析

Ｑ丙型肝炎是由丙型肝炎病毒（ＨＣＶ）引起的一种严重的传染病。丙型肝炎病毒主要通过输血和应用不洁的血液制品传播,所以利用敏感、特异的检测方法筛选献血员对丙型肝炎的预防尤为重要。现在第二代ＨＣＶ检测试剂已大批应用,加入ＮＳ５Ａ抗原的第三代试剂也正在研制中...     

Establishing a beachhead: a stochastic population model with an Allee effect applied to species invasion

We formulated a spatially explicit stochastic population model with an Allee effect in order to explore how invasive species may become established. In our model, we varied the degree of migration between local populations and used an Allee effect with variable birth and death rates. Because of the stochastic component, population sizes below the Allee effect threshold may still have a positive probability for successful invasion. The larger the network of populations, the greater the probability of an invasion occurring when initial population sizes are close to or above the Allee threshold. Furthermore, if migration rates are low, one or more than one patch may be successfully invaded, while if migration rates are high all patches are invaded.     

丙肝病毒IgM抗体检测方法的初步研究

选择东燃公司的重组结构区和非结构区抗原建立的抗ＨＣＶ－ＩｇＭ检测方法,简便、快速、特异性强、重复性好、敏感性高。只在丙肝病人组检出而健康献血员均为阴性,与抗ＨＡＶ、ＨＢＶ的ＩｇＭ抗体无交叉反应,且排除了ＲＦ干扰和ＩｇＧ占位引起的假阳性和假阴性,适用于抗ＨＣＶ－ＩｇＭ的临床检测。对２４例丙肝病人的抗ＨＣＶ－ＩｇＭ检测结果显示,急性丙肝病人血清抗ＨＣＶ－ＩｇＭ检出率较高（７５％,６／８）,且随ＡＬＴ正常而消失或滴度下降。慢性病人抗ＨＣＶ－ＩｇＭ检出率为５６．３％（９／１６）,其中７例ＩｇＭ持续阳性者为慢性活动性丙肝,说明慢性病人抗ＨＣＶ－ＩｇＭ与疾病的活动性密切相关。结果提示抗ＨＣＶ－ＩｇＭ的检测在急性肝炎的诊断及慢性丙肝的预后和转归上具有临床意义。     

丙型肝炎病毒基因分型研究进展及临床意义

丙型肝炎是经血或血制品传播的急慢性肝炎类疾病,可转化为肝硬化或肝癌.其致病因子丙型肝炎病毒是一种高异质性RNA病毒,可根据其基因变程度的不同分为多个基因型与亚型,其基因分型与地理分布,病情进展及干扰素的治疗效果有关,近年来发展出了多种检测基因分型的方法.本文就近年来丙型肝炎基因分型的各种检测方法作一比较并综述了基因分型的临床意义,为临床对各种检测方法的选择提供一定的依据.     

延边地区丙型肝炎患者合并TT病毒感染的检测

检测丙型肝炎患者血清标本中的TT病毒 (transfusiontransmittedvirus,TTV) ,了解延边地区丙型肝炎患者合并TTV感染状况。采用ELISA检测抗TTVIgG和巢式PCR检测丙型肝炎病毒 (HCV)感染患者血清中TTVDNA。采用全自动生化分析仪检测患者血清谷氨酸氨基转移酶 (ALT)和谷氨酸草酰乙酸氨基转移酶 (AST)。 4 5例丙型肝炎患者抗TTVIgG阳性率为 37.8% (17/45 ) ,巢式PCR阳性率为 4 2 .2 % (19/45 )。延边地区HCV感染患者重叠感染TTV较常见。     

丙型肝炎病毒免疫电镜的初步研究

采用组织匀浆免疫沉淀后负染、免疫组化块染后包埋、原位包埋等免疫电镜技术,研究丙型肝炎病毒（ＨＣＶ）。组织匀浆、免疫沉定、负染后在电镜下观察到与ＨＣＶ相关的类病毒颗粒,形态与披膜病毒相似,大小多在５５～６５ｎｍ,圆形,有包膜,边缘略有突起或比较平滑,有胶体金结合在此种颗粒上及其周围。无关单抗阴性对照无类似颗粒及胶体金。免疫酶染电镜下还见到成堆可疑颗粒。此外,ＨＣＶ－Ｅ区抗原染色后原位包埋,尚发现胶体金大多结合于大小５０ｎｍ左右圆形结构的内部,表明Ｅ区单抗针对的特异性抗原位点位于这种结构的内侧。     

The deterministic limit of a stochastic logistic model with individual variation

We consider a Markov chain model similar to the stochastic logistic model except that it allows for variation amongst individuals in the population. We prove that as the population size grows, the process can be approximated by a deterministic process. The equilibrium points of the limiting process and their stability are determined. Applications to modelling epidemics and metapopulations are discussed.     

丙型肝炎患者血浆和外周血单个核细胞同步检测HCV—RNA和HGV—RNA

庚型肝炎和丙型肝炎传播途径是一致的 ,主要通过血制品和注射途径 ,有可能同时或重叠感染 ,尽管ＨＧＶ感染能否导致肝损害仍有争论 ,由于国外近年做了许多研究 ,而国内仅有血清检测丙肝和庚肝重叠感染的个别报道 ,但对外周血单个核细胞和血浆未作同步检测。我们对此进行了探讨 ,现将结果报道如下。1　方法观察组 72例患者均为我院住院治疗或门诊追踪观察病例 ,所有病例通过血清学检查排除甲、乙、丁、戊型肝炎。 70 %有输血史 ,肝功能反复异常 ,抗ＨＣＶ阳性 ,临床诊断为慢性或急性丙型肝炎 ,以 2 0例健康献血员作阴性对照 ,用比重 1.0 77的…     

丙型肝炎病毒复合高变区1模拟表位蛋白的免疫原性分析

将丙型肝炎病毒高变区1(HVR1)模拟表位融合基因插入原核表达载体pGEX-4T-1,在大肠杆菌BL21(DE3)中进行表达,经亲和层析和凝胶过滤层析获得HCVHVR1模拟表位融合蛋白。用Westernblot和ELISA检测融合蛋白与HCV抗体阳性血清的结合情况。皮下注射免疫BALB/c小鼠,用ELISA检测小鼠血清中的抗HCV抗体水平及其与天然HCV高变区1合成肽的交叉反应。结果表明融合蛋白能与HCV抗体阳性血清特异结合,融合蛋白与HCV抗体阳性血清的结合频率为71.6%(25/35)。融合蛋白免疫小鼠后能有效诱导免疫应答,其诱生的特异性抗体最高滴度达104(免疫后第8周),且该抗体能同2条天然HCVHVR1合成肽发生交叉反应。本研究提示,HCV复合HVR1模拟表位融合蛋白在丙型肝炎疫苗的研发中可能具有潜在应用价值。