Possible role for protein kinase C in the pathogenesis of inborn errors of metabolism

Protein kinase C (PKC) is a ubiquitous enzyme family implicated in the regulation of a large number of short- and long-term intracellular processes. It is hypothesized that modulation of PKC activity may represent, at least in part, a functional link between mutations (genotype) that lead to the pathological accumulation of naturally occurring compounds that affect PKC activity and perturbation of PKC-mediated substrate phosphorylation and cellular function in the corresponding diseases (phenotype). This model provides a unifying putative mechanism by which the phenotypic expression of some inborn errors of metabolism may be explained. Recent studies in a cell-free system of human skin fibroblasts support the hypothesis that alteration of PKC activity may represent the functional link between accumulation of sphingolipids and fatty acyl-CoA esters, and perturbation of cell function in sphingolipidoses and fatty acid oxidation defects, respectively. Further studies will elucidate the effects of these alterations on PKC-mediated short- and long-term cellular functions in these diseases, as well as the possible role of PKC in the pathogensis of other diseases. © 1995 Wiley-Liss, Inc.     

高频度微卫星不稳定性大肠癌"修饰型"微卫星变化与MLH1及KRAS基因突变密切相关

本研究通过方法学的改良和观察方式的创新试图阐明这种现象的原因.微卫星非传统的检测方法仅能实现微卫星定性检测,我所在的研究组开发了自动片段分析双荧光标识技术,提高了微卫星检测的感度和重复性,并实现了微卫星片段变化长度的定量.小于6碱基的微卫星变化被定义为修饰型微卫星不稳定,大于8碱基的变化被定义为跳跃型微卫星不稳定,它们的电泳谱截然不同.前者表现为在非肿瘤来源微卫星位点基础上的增加或减少,后者表现为距离非肿瘤微卫星片段远隔部位的新波形的出现.通过研究我们发现,在DNA错配修复缺陷细胞系及基因敲除大鼠自发肿瘤样本,仅有修饰型微卫星不稳定性检出;在人类DNA错配修复缺陷细胞系连续80次传代也没有检出跳跃型变化.跳跃型变化不能通过简单重复序列不稳定基础上的增加或减少的累加而获得.在76例散发大肠癌,我们检测了微卫星不稳定性,KRAS基因突变,并对高频度微卫星不稳定性病例的两个主要DNA错配修复基因MSH2和MLHl进行了全长测序.我们发现,在大肠癌,按频度的传统分类与按波形变化的分类有高度的一致性,高频度微卫星不稳定性病例均检测到跳跃型表现,低频度微卫星不稳定性都表现为修饰型变化.在12例高频度微卫星不稳定病例,有三例检出了跳跃型和修饰型同时存在微卫星不稳定的特殊表型,这3例均检出KRAS的突变,更有趣的是该3例病例也同时检出了DNA错配修复基因MLH1的变异.而在其他9例高频度微卫星不稳定病例,KRAS突变及MLH1、MSH2交变未检出.通过对突变谱的分析我们还发现,修饰型微卫星不稳定与KTAS基因12号密码子的转换型突变高度相关,而微卫星稳定的病例检出的KRAS基因12号密码子突变多为颠换型突变.修饰型微卫星不稳定表型检出的高频度转换突变可由DNA错配修复缺陷的分子背景解释.通过本研究,我们认为以波形为基础的微卫星不稳定新分型可能是解决目前微卫星研究领域矛盾的一个选项.一直公认为高频度微卫星不稳定性是"真正"的DNA错配修复缺陷表型,我们的研究提示实际上高频度微卫星的可能是多元的.修饰型微卫星不稳定与DNA错配修复缺陷直接关联,而跳跃型微卫星不稳定的原因尚未阐明.在高频度为微型不稳定中,携带修饰型变化的病例可以通过DNA错配修复系统缺陷来解释其病因.     

用人工神经网络方法估计Ligistic方程参数

本文提出Logistic方程参数优化估计的人工神经网络方法,并选取一组标样进行具体尝试。结果表明,用这种方法估计Logistic方程参数效果极好。     

哈尔滨市综合医院病人用药安全管理现状研究

运用分层随机抽样的方法,在哈尔滨市抽取5家三级和5家二级综合医院作为研究对象,在药品监管组织与规制、药品储存与养护、医嘱管理、药品的调配和分发、给药、用药安全监测、安全文化建设等7个方面进行了病人用药安全管理现状调查研究。发现了病人用药安全管理存在的薄弱环节,分析了问题产生的原因并且提出相应的改进措施,为提高医院药品安全管理水平,保障病人用药安全提供了理论依据。     

Fisher information matrix of the Dirichlet-multinomial distribution

In this paper we derive explicit expressions for the elements of the exact Fisher information matrix of the Dirichlet-multinomial distribution. We show that exact calculation is based on the beta-binomial probability function rather than that of the Dirichlet-multinomial and this makes the exact calculation quite easy. The exact results are expected to be useful for the calculation of standard errors of the maximum likelihood estimates of the beta-binomial parameters and those of the Dirichlet-multinomial parameters for data that arise in practice in toxicology and other similar fields. Standard errors of the maximum likelihood estimates of the beta-binomial parameters and those of the Dirichlet-multinomial parameters, based on the exact and the asymptotic Fisher information matrix based on the Dirichlet distribution, are obtained for a set of data from Haseman and Soares (1976), a dataset from Mosimann (1962) and a more recent dataset from Chen, Kodell, Howe and Gaylor (1991). There is substantial difference between the standard errors of the estimates based on the exact Fisher information matrix and those based on the asymptotic Fisher information matrix.     

Inverse Problem in Materials Science

Abstract

The importance of the inverse problem in materials science, that is, the determination of unknown parameters in the physico-chemical models from the experimental values is emphasized. The main attention is given to the problem of how to take into account experimental systematic errors during the inverse problem.