检测pT_(1-4a)N_(1-3)M_0期胃癌淋巴结微转移检测的临床意义

目的:探讨胃癌淋巴结微转移及临床病理因素对p T1-4aN1-3M0期胃癌患者术后5年无瘤生存率的影响。方法:选取我院2009年1月至12月期间胃肠外科单一手术组行D2胃癌根治术p T1-4aN1-3M0期患者63例1427枚HE染色阴性淋巴结,应用免疫组化法检测这些淋巴结中CK19表达,观察微转移的情况并分析发生微转移的胃癌患者临床病理特征及对患者5年无瘤生存率的影响。结果:临床病理分期p T1-4aN1-3M0胃癌患者中,经免疫组化染色,1427枚HE常规染色阴性淋巴结中CK19阳性表达率为15.49%(221/1427);63例胃癌患者中CK19表达阳性率39.68%(25/63);术后随访时间5.6~68.5月(平均时间43.88月),淋巴结中CK19阴性表达、阳性表达患者的总5年生存率分别为52.63%、28.00%;两者无瘤生存率差异有统计学意义(x2=8.677,P=0.003)。淋巴结CK19阳性表达与胃癌患者的肿瘤直径(P0.05)、浸润胃壁深度(P0.05)有关。COX生存回归分析显示淋巴结微转移为独立预后因素。25例患者发现淋巴结微转移并推荐再分期,再分期率39.68%(25/63)。结论:p T1-4aN1-3M0期胃癌病人,CK-19免疫组化法染色能检出常规HE染色阴性淋巴结中的微转移,有助于细化分期、判断预后及指导治疗。     

Parameter determination and validation for a mechanistic model of the enzymatic saccharification of cellulose‐Iβ

Cost‐effective production of fuels and chemicals from lignocellulosic biomass often involves enzymatic saccharification, which has been the subject of intense research and development. Recently, a mechanistic model for the enzymatic saccharification of cellulose has been developed that accounts for distribution of cellulose chain lengths, the accessibility of insoluble cellulose to enzymes, and the distinct modes of action of the component cellulases [Griggs et al. (2012) Biotechnol. Bioeng., 109(3):665–675; Griggs et al. (2012) Biotechnol. Bioeng., 109(3):676–685]. However, determining appropriate values for the adsorption, inhibition, and rate parameters required further experimental investigation. In this work, we performed several sets of experiments to aid in parameter estimation and to quantitatively validate the model. Cellulosic materials differing in degrees of polymerization and crystallinity (α‐cellulose‐I_β and highly crystalline cellulose‐I_β) were digested by component enzymes (EG_I/CBH_I/ ) and by mixtures of these enzymes. Based on information from the literature and the results from these experiments, a single set of model parameters was determined, and the model simulation results using this set of parameters were compared with the experimental data of total glucan conversion, chain‐length distribution, and crystallinity. Model simulations show significant agreement with the experimentally derived glucan conversion and chain‐length distribution curves and provide interesting insights into multiple complex and interacting physico‐chemical phenomena involved in enzymatic hydrolysis, including enzyme synergism, substrate accessibility, cellulose chain length distribution and crystallinity, and inhibition of cellulases by soluble sugars. © 2015 American Institute of Chemical Engineers Biotechnol. Prog., 31:1237–1248, 2015     

Economic analysis of royalactin production under uncertainty: Evaluating the effect of parameter optimization

Royalactin is a protein with several different potential uses in humans. Research, in insects and in mammalian cells, has shown that it can accelerate cell division and prevent apoptosis. The method of action is through the use of the epidermal growth factor receptor, which is present in humans. Potential use in humans could be to lower cholesterolemic levels in blood, and to elicit similar effects to those seen in bees, e.g., increased lifespan. Mass production of Royalactin has not been accomplished, though a recent article presented a Pichia pastoris fermentation and recovery by aqueous two‐phase systems at laboratory scale as a possible basis for production. Economic modelling is a useful tool with which compare possible outcomes for the production of such a molecule and in particular, to locate areas where additional research is needed and optimization may be required. This study uses the BioSolve software to perform an economic analysis on the scale‐up of the putative process for Royalactin. The key parameters affecting the cost of production were located via a sensitivity analysis and then evaluated by Monte Carlo analysis. Results show that if titer is not optimized the strategy to maintain a low cost of goods is process oriented. After optimization of this parameter the strategy changes to a product‐oriented and the target output becomes the critical parameter determining the cost of goods. This study serves to provide a framework for the evaluation of strategies for future production of Royalactin, by analyzing the factors that influence its cost of manufacture. © 2015 American Institute of Chemical Engineers Biotechnol. Prog., 31:744–749, 2015     

13种栎属植物叶片的气孔特征及其相关性分析和分类学意义

以13种栎属(Quercus Linn.)植物〔包括产自辽宁省的槲栎组(Sect. Quercus)8种和麻栎组(Sect. Aegilops)2种以及引自北美洲的沼生栎组(Sect. Erythobalanus)2种和引自波兰的白栎组(Sect. Lepidabalanus)1种〕为试材,观察了这些种类叶片的气孔形态,并分析了气孔器和气孔的形态参数,还对各形态参数间的相关性进行了分析;在此基础上,对13种栎属植物进行了聚类分析。结果表明：栎属植物叶片的气孔仅分布于下表皮;气孔器排列属无规则型;气孔保卫细胞呈肾形,内壁加厚;气孔下陷,呈椭圆形或狭长椭圆形。供试种类的气孔和气孔器的形态参数差异明显,变异系数差异较大;气孔器的长轴长度、短轴长度和面积分别为18.24~27.46μm、14.63~23.18μm和221.56~501.70μm2,变异系数分别为7.73%~15.90%、7.10%~17.44%和14.13%~32.73%,气孔器指数为0.73~0.85;气孔的长轴长度、短轴长度、面积和密度分别为8.69~15.41μm、1.94~8.49μm、15.15~104.93μm2和462.32~984.44 mm-2,变异系数分别为12.03%~22.17%、13.65%~34.10%、27.95%~54.13%和8.10%~16.99%,气孔指数为0.22~0.57;总体上,按照多数气孔器和气孔参数从大至小的变化趋势依次排序为沼生栎组、白栎组、麻栎组、槲栎组。相关性分析结果表明：供试种类的气孔密度与气孔器和气孔的长轴及短轴长度均呈极显著(P<0.01)负相关;气孔器面积与气孔器指数和气孔指数分别呈极显著和显著(P<0.05)正相关;气孔面积与气孔器和气孔的长轴和短轴长度、气孔器指数和气孔指数呈极显著正相关,但与气孔密度呈显著负相关。聚类分析结果表明：在欧氏距离10处可将13种栎属植物分为3类,第Ⅰ类包含槲栎组的8种,第Ⅱ类包含麻栎组和白栎组的3种,第Ⅲ类包含沼生栎组的2种。研究结果显示：栎属植物叶片的气孔特征具有一定的稳定性,可作为栎属植物组间分类及亲缘关系分析的依据之一。     

Identification of genes related to heart failure using global gene expression profiling of human failing myocardium

Although various management methods have been developed for heart failure, it is necessary to investigate the diagnostic or therapeutic targets of heart failure. Accordingly, we have developed different approaches for managing heart failure by using conventional microarray analyses. We analyzed gene expression profiles of myocardial samples from 12 patients with heart failure and constructed datasets of heart failure-associated genes using clinical parameters such as pulmonary artery pressure (PAP) and ejection fraction (EF). From these 12 genes, we selected four genes with high expression levels in the heart, and examined their novelty by performing a literature-based search. In addition, we included four G-protein-coupled receptor (GPCR)-encoding genes, three enzyme-encoding genes, and one ion-channel protein-encoding gene to identify a drug target for heart failure using in silico microarray database. After the in vitro functional screening using adenovirus transfections of 12 genes into rat cardiomyocytes, we generated gene-targeting mice of five candidate genes, namely, MYLK3, GPR37L1, GPR35, MMP23, and NBC1. The results revealed that systolic blood pressure differed significantly between GPR35-KO and GPR35-WT mice as well as between GPR37L1-Tg and GPR37L1-KO mice. Further, the heart weight/body weight ratio between MYLK3-Tg and MYLK3-WT mice and between GPR37L1-Tg and GPR37L1-KO mice differed significantly. Hence, microarray analysis combined with clinical parameters can be an effective method to identify novel therapeutic targets for the prevention or management of heart failure.     

Redox potential of the Rieske iron-sulfur protein: Quantum-chemical and electrostatic study

Quantum-chemical study of structures, energies, and effective partial charge distribution for several models of the Rieske protein redox center is performed in terms of the B3LYP density functional method in combination with the broken symmetry approach using three different atomic basis sets. The structure of the redox complex optimized in vacuum differs markedly from that inside the protein. This means that the protein matrix imposes some stress on the active site resulting in distortion of its structure. The redox potentials calculated for the real active site structure are in a substantially better agreement with the experiment than those calculated for the idealized structure. This shows an important role of the active site distortion in tuning its redox potential. The reference absolute electrode potential of the standard hydrogen electrode is used that accounts for the correction caused by the water surface potential. Electrostatic calculations are performed in the framework of the polarizable solute model. Two dielectric permittivities of the protein are employed: the optical permittivity for calculation of the intraprotein electric field, and the static permittivity for calculation of the dielectric response energy. Only this approach results in a reasonable agreement of the calculated and experimental redox potentials.     

Nonignorable Models for Intermittently Missing Categorical Longitudinal Responses

Summary A class of nonignorable models is presented for handling nonmonotone missingness in categorical longitudinal responses. This class of models includes the traditional selection models and shared parameter models. This allows us to perform a broader than usual sensitivity analysis. In particular, instead of considering variations to a chosen nonignorable model, we study sensitivity between different missing data frameworks. An appealing feature of the developed class is that parameters with a marginal interpretation are obtained, while algebraically simple models are considered. Specifically, marginalized mixed‐effects models ( Heagerty, 1999 , Biometrics 55, 688–698) are used for the longitudinal process that model separately the marginal mean and the correlation structure. For the correlation structure, random effects are introduced and their distribution is modeled either parametrically or non‐parametrically to avoid potential misspecifications.     

A Bayesian Chi‐Squared Goodness‐of‐Fit Test for Censored Data Models

Summary We propose a Bayesian chi‐squared model diagnostic for analysis of data subject to censoring. The test statistic has the form of Pearson's chi‐squared test statistic and is easy to calculate from standard output of Markov chain Monte Carlo algorithms. The key innovation of this diagnostic is that it is based only on observed failure times. Because it does not rely on the imputation of failure times for observations that have been censored, we show that under heavy censoring it can have higher power for detecting model departures than a comparable test based on the complete data. In a simulation study, we show that tests based on this diagnostic exhibit comparable power and better nominal Type I error rates than a commonly used alternative test proposed by Akritas (1988, Journal of the American Statistical Association 83, 222–230). An important advantage of the proposed diagnostic is that it can be applied to a broad class of censored data models, including generalized linear models and other models with nonidentically distributed and nonadditive error structures. We illustrate the proposed model diagnostic for testing the adequacy of two parametric survival models for Space Shuttle main engine failures.     

Sufficiency of the number of segregating sites in the limit under finite-sites mutation

We show that the number of segregating sites is a sufficient statistic for the scaled mutation parameter (θ) in the limit as the number of sites tends to infinity and there is free recombination between sites. We assume that the mutation parameter at each site tends to zero such than the total mutation parameter (θ) is constant in the limit. Our results show that Watterson’s estimator is the maximum likelihood estimator in this case, but that it estimates a composite parameter which is different for different mutation models. Some of our results hold when recombination is limited, because Watterson’s estimator is an unbiased, method-of-moments estimator regardless of the recombination rate. The quantity it estimates depends on the details of how mutations occur at each site.     

Efficacy of Chromium(III) Supplementation on Growth,Body Composition,Serum Parameters,and Tissue Chromium in Rats

Chromium(III) is often claimed to have a positive effect on body composition, while the responses in researches with supplementation of different chemical form of chromium are various and inconsistent. We have studied the effects of 6 weeks of treatment with three different forms of chromium (300 μg/kg) as chromium chloride, chromium tripicolinate, and chromium nanocomposite (CrNano) on growth, body composition, serum parameters, and tissue chromium in rats. The supplementataion of CrNano significantly increased average daily gain, food efficiency, and lean body mass and decreased fat mass and body fat proportion and serum levels of glucose, urea nitrogen, triglyceride, and insulin. Chromium contents in liver, kidney, and hind leg muscle were increased significantly with the addition of CrNano in diet. The results indicate that chromium nanocomposite has higher efficacy on growth and body composition compared to the traditional chromium agents.