EXCEL在毒力回归计算中的应用

本文介绍了应用EXCEL进行毒力回归分析、计算LC50 ,a,b,相关系数 ,以及SE ,LC50 的 95 %置信区间和共毒系数的方法。     

三种几丁质合成抑制剂对意大利蝗的防治研究

本文用3种几丁质合成抑制剂卡死克、噻嗪酮和灭幼脲对意大利蝗Calliptatmnus italicus(L.)卵和3龄蝗蝻进行药剂试验.实验结果显示卡死克对意大利蝗药效最高:LC50、LC90分别为1.34、14.17 mg/L.灭幼脲次之LC50、LC90分别为2.09、45.22 mg/L.灭幼脲和卡死克在50 m...     

运动干预对肥胖大鼠睾丸自噬和凋亡的影响

目的 探讨肥胖对大鼠生精小管结构及自噬和凋亡相关蛋白质的影响,并探讨运动对睾丸自噬和凋亡的影响及其调控机制。方法 将50只6周龄雄性SD大鼠随机分为标准饲养组（SD组,n=20）和高脂饲养组（HFD组,n=30）。HFD组喂养8周建立肥胖大鼠模型,并随机筛选出20只肥胖大鼠进行运动干预。SD组和HFD组分别随机分为标准对照组（CC组）、标准运动组（CE组）、肥胖对照组（OC组）、肥胖运动组（OE组）,每组10只。其中CE组和OE组进行8周中等强度跑台运动干预,60 min/d,5 d/周,其他两组维持原饲养条件。在最后一次运动结束48 h后,将大鼠腹腔麻醉,称重,取大鼠左右两侧睾丸、称量睾丸重量并计算睾丸指数。制作睾丸石蜡切片,利用HE染色法观察睾丸组织结构。采用蛋白质印迹法（Western blot）检测睾丸组织中p62、LC3II、LC3I、BCL-2、Bax和AMPK蛋白表达量并计算LC3II/LC3I比值,采用免疫荧光检测睾丸中LC3和BCL-2蛋白表达位置。结果 与CC组相比,OC组大鼠睾丸指数降低,生精小管直径显著降低（P<0.01）,精子细胞减少,睾丸组织中有脂滴沉...     

瓜实蝇不同寄主种群对4种杀虫剂的敏感性

为探索瓜实蝇Zeugodacus cucurbitae不同寄主种群对杀虫剂的敏感性,本研究在室内通过药膜法测定了瓜实蝇节瓜、黄瓜、丝瓜和苦瓜种群4日龄成虫对4种杀虫剂的敏感性,随后将瓜实蝇不同寄主种群致死中浓度LC50进行比较,计算抗性倍数。结果表明,4个寄主种群对甲维盐的敏感性为节瓜 > 苦瓜 > 丝瓜 > 黄瓜,其中节瓜、苦瓜种群对甲维盐最敏感,其次是丝瓜、黄瓜,LC50值分别为0.250、0.391、0.809和1.035 mg/L。4个寄主种群对灭多威的敏感性表现为节瓜 > 黄瓜 > 苦瓜 > 丝瓜,LC50值分别为0.302、0.318、0.652和0.804 mg/L。对多杀菌素的敏感性大小依次为黄瓜、节瓜、丝瓜、苦瓜,LC50值分别为1.157、1.198、1.232和2.029 mg/L。对啶虫脒的敏感性为苦瓜 > 节瓜 > 黄瓜 > 丝瓜,LC50值分别为17.946、20.166、20.190和21.986 mg/L,其中对甲维盐的敏感性差异幅度最大,为4.140倍,其次是灭多威,为2.654倍,对啶虫脒的敏感性差异幅度最小,为1.225倍。表明寄主植物可引起瓜实蝇对杀虫剂的敏感性变化。     

富马酸二甲酯对斑马鱼胚胎早期发育的影响

为研究富马酸二甲酯对斑马鱼(Danio rerio)胚胎早期发育的影响,选取不同发育阶段的斑马鱼胚胎,用富马酸二甲酯进行染毒处理,观察胚胎形态发育的异常,计算其对不同发育时期胚胎的24 h、48 h半数致死浓度(LC50)和胚胎72 h孵化率,并考察富马酸二甲酯对胚胎血管发育的影响。结果表明,富马酸二甲酯影响斑马鱼胚胎的早期发育,呈剂量依赖性特点,并与开始处理的时间点有关。富马酸二甲酯引起2 hpf(受精后2 h,2 hours post-fertilization)、10 hpf、24 hpf斑马鱼胚胎死亡的24 h LC50值分别为:13.33μmol/L、17.98μmol/L、32.50μmol/L,48 h LC50值分别为:13.31μmol/L、16.35μmol/L、22.50μmol/L;长期低浓度富马酸二甲酯(≥6μmol/L)作用引起胚胎72 h孵化率下降。27.5μmol/L富马酸二甲酯作用后会显著降低胚胎血管内皮生长因子受体2(VEGFR2)的表达水平。     

不同发育期诸氏鲻虾虎鱼对钻井液的敏感性比较

目的筛选试验鱼适宜急性毒性试验的发育期。方法将诸氏鲻虾虎鱼早期仔鱼、中期仔鱼、晚期仔鱼、稚鱼、幼鱼及成鱼暴露于一定浓度的钻井液中,比较钻井液对不同发育期诸氏鲻虾虎鱼的急性毒性。结果早期仔鱼48 h LC50为157 mg/L,中期仔鱼48 h LC50大于500 mg/L;中期仔鱼96 h LC50为79 mg/L,晚期仔鱼96h LC50为625 mg/L,稚鱼、幼鱼、成鱼96 h LC50显著大于500 mg/L;卤虫无节幼体96 h LC50为105 mg/L;不同发育期诸氏鲻虾虎鱼对钻井液的敏感性顺序为：早期仔鱼〉中期仔鱼〉晚期仔鱼〉稚、幼、成鱼。结论诸氏鲻虾虎鱼的早期仔鱼适用于海洋污染物急性毒性评价。     

转化生长因子β1影响三阴性乳腺癌顺铂耐药的机制研究

摘要 目的：建立三阴性乳腺癌MDA-MB-231/顺铂（DDP）耐药细胞株,探讨转化生长因子β1（TGF-β1）调控三阴性乳腺癌DDP耐药的机制。方法：采用小剂量间歇诱导法建立MDA-MB-231耐药细胞株（MDA-MB-231/DDP）,在MDA-MB-231/DDP中构建TGF-β1沉默细胞并分为TGF-β1沉默组（sh-TGF-β1）、阴性对照组以及对照组,实时定量聚合酶链反应（RT-qPCR）检测TGF-β1含量。另取MDA-MB-231细胞和MDA-MB-231/DDP细胞分为MDA-MB-231组（正常培养MDA-MB-231敏感细胞）、MDA-MB-231-DDP组（正常培养MDA-MB-231 DDP耐药细胞）、TGFβ1-shRNA组（MDA-MB-231 DDP细胞转染TGFβ1-shRNA慢病毒载体）和MDA-MB-231-DDP+3-MA组（MDA-MB-231 DDP细胞给予5mM 3-MA处理2 h）。细胞计数试剂盒（CCK-8）法检测耐药株的半数抑制浓度（IC₅₀）,并计算耐药指数及逆转耐药指数,RT-qPCR检测TGF-β1含量,蛋白印迹法（Western blot）检测TGF-β1、自噬相关蛋白LC3-I、LC3-II表达量,激光共聚焦显微镜观察自噬流的变化,应用SPSS 20.0软件进行统计分析。结果：成功建立DDP耐药细胞株MDA-MB-231/DDP,耐药指数为5.231;MDA-MB-231/DDP细胞的TGF-β1 mRNA表达和蛋白表达较MDA-MB-231细胞显著上调（P<0.05）。DDP耐药细胞MDA-MB-231/DDP中自噬相关蛋白LC3-II/LC3-I表达较MDA-MB-231细胞显著升高（P<0.05);应用自噬抑制剂3-甲基腺嘌呤（3-MA）后MDA-MB-231/DDP细胞自噬相关蛋白LC3-II/LC3-I表达显著下降（P<0.05);沉默MDA-MB-231/DDP细胞的TGF-β1基因后,DDP耐药细胞株的耐药指数从5.231下降到3.404,同时自噬相关蛋白LC3-II/LC3-I表达降低（P<0.05）,且激光共聚焦显微镜观察到黄色和红色斑点的显著减少,表明自噬受到抑制。结论：TGF-β1与三阴性乳腺癌DDP耐药有关,其机制可能是增加自噬引起MDA-MB-231细胞DDP耐药。通过沉默TGF-β1可降低自噬水平,恢复三阴性乳腺癌细胞对DDP的敏感性。     

敌敌畏、毒斯乐单一及复合污染对蚯蚓的急性毒性试验

蚯蚓作为土壤无脊椎动物的代表,在评价土壤生态系统的污染方面起着重要作用.而敌敌畏和毒斯乐都是目前农业生产中使用相当广泛的农药,在土壤、环境中的残留问题一直是研究的热点.本试验主要用两种方法(滤纸接触法和自然土壤法)研究了敌敌畏、毒斯乐及其混剂对自然蚯蚓的急性毒性.结果 显示:用滤纸接触法测得敌敌畏对蚯蚓的LC50为0.14 g/L,毒斯乐对蚯蚓的LC50为0.154 g/L,敌敌畏和毒斯乐混合药剂对蚯蚓24 h 的LC50为0.102 g/L,而用自然土壤法测得敌敌畏对蚯蚓的LC50为1.11 g/L,毒斯乐对蚯蚓的LC50为1.29 g/L,敌敌畏和毒斯乐混合药剂对蚯蚓的LC50为0.964 g/L.     

利用EXCEL快速进行毒力测定中的致死中量计算和卡方检验

根据机率值分析法和最小二乘法的原理 ,在Windows 98 Me 2 0 0 0 XP系统中 ,利用EXCEL软件编制了 2个杀虫剂毒力测定中计算有关毒力回归方程、LD50 、相关系数、LD50 的 95 %置信限、标准误以及卡平方检验等计算程序模板。计算时只需要输入试验浓度 (或剂量 )、试虫数和试虫死亡数 ,即可快速、简便、准确计算毒力测定的结果 ,并进行卡平方值的计算和适合性判断。     

苏云金杆菌对甜菜夜蛾毒性的筛选

测定了 10 0株野生型苏云金芽孢杆菌菌株对夜蛾科甜菜夜蛾幼虫的毒力活性 ,经回归分析 ,2 3株对甜菜夜蛾初孵幼虫的毒力与浓度有高相关性 (R >0 .90 ) ,按LC50 计算 ,CN73活性最强 ,LC50 达 2 .393微升培养液 /克饲料 ( μL/g) ;另有 2 3株进行了不同浓度下校正死亡率的比较 ,得到高毒株 13株 ,CN33在 5μL/g浓度下校正死亡率达到 10 0 %。该结果为进一步研究奠定了基础。     

Quantification of the dose-Mortality response of Trichoplusia ni,Helioithis, zea,and Spodoptera frugiperda to Nuclear polyhedrosis viruses: Applicability of an exponential model

In vivo assays of several nuclear polyhedrosis viruses were conducted in neonate Trichoplusia ni, Heliothis zea, and Spodoptera frugiperda larvae using a droplet feeding method. Characteristic deviations from the probit model were observed with several virus isolats that suggested the dose-reponse relation might be determined primarily by the chance of obtaining virus from the inoculum rather than by variabilityin host susceptibility. This was supported by comparisons of the slopes of the probit lines with the corresponding expected values based on the exponential relationship described by a one-hit Poissonian curve. Where applicable, the exponential model offers severl advantages over the probit model in describing and quantifying virus-host relations.     

Viability and Estimation of Shelf-Life of Bacterial Populations

Mathematical concepts associated with the exponential and probit models are developed, and the similarity of the two methods is discussed. Because of its greater flexibility in design, the probit method was used to estimate the shelf-life for four bacterial populations, wet and dry spores of Bacillus anthracis and wet and dry cells of Pasteurella tularensis. On the basis of data gained by storing these organisms at high temperature, the probit method was used to predict the time at which 50% viability would occur for cells stored at 3 C. A plane passing through a three-space showing change in percentage viability of bacteria was formulated by a multiple regression method. With this functional technique, the percentage viability, expressed as a probit, was linearily related to a logarithm of storage time and storage temperature. The use of this method to study the effect of controlled variables on the viability of cells is demonstrated by comparing the effect of viability associated with three additives used prior to drying. The results of the test gave shelf-life estimates which were too low for all additives; however, the order of stability was ranked properly as confirmed by long-term tests.     

Susceptibility of irradiated B6D2F1/J mice to Klebsiella pneumoniae administered intratracheally: a pulmonary infection model in an immunocompromised host

Bacteria such as Klebsiella pneumoniae can invade and colonize an immunocompromised host and complicate clinical recovery. In the study reported here, an experimental model of induced pneumonia was developed in 60Co gamma-photon-irradiated mice for the purpose of evaluating efficacy of therapeutic agents. The model was characterized by use of probit analysis of bacterial dose, and microbiologic, and histopathologic results. Bacterial colony-forming-unit (CFU) values producing 50% mortality within 30 days (LD50/30) and their 95% confidence intervals were 4.0 x 10(4) [1.7 x 10(4) - 8.9 x 10(4)] for 0-Gray (Gy)-irradiated mice, 1.9 x 10(4) [7.0 x 10(3) - 4.8 x 10(4)] for 5-Gy-irradiated mice, and 1.0 x 10(3) [2.8 x 10(2) - 3.3 x 10(3)] for 7-Gy-irradiated mice. Probit regression line fits calculated by use of an iterative, weighted least-squares fit, were used to assess a dose-modifying factor (DMF). The DMFs for mortality, compared with that for the 0-Gy dose, with their 95% confidence intervals, were 2.2 [0.63 - 7.7] for the 5-Gy and 38.9 [9.6 -165.0] for 7-Gy doses. The 5-Gy probit line did not significantly differ (P = 0.21) from the 0-Gy probit line (dose ratios did not significantly differ from 1), whereas the 7-Gy probit line differed significantly from the 0-Gy probit line (P < 0.001). These results demonstrate that 7-Gy 60Co gamma-photon radiation in combination with intratracheal K. pneumoniae challenge induces a valid pulmonary infection model in immunocompromised female B6D2F1/J mice.     

Microcomputer BASIC programs for rapid determination of lethal dosages of biocides using logit transformations

The probit analysis model is generally used for the deterininationof lethal dosages in bioassay applications. However, the logitmodels, which use the logistic curve instead of the integratednonnal curve, could also be effectively used for the determinationof lethal dosages and regression coefficients. In this paper,two lypes of logit models, namely minimum logit chi square andmaximum likelihood, have been described in detail for the estimationof the parameters. The results of these two models are alsocompared with those of the probit model.     

Bayesian Mixture Models for Assessment of Gene Differential Behaviour and Prediction of pCR through the Integration of Copy Number and Gene Expression Data

We consider modeling jointly microarray RNA expression and DNA copy number data. We propose Bayesian mixture models that define latent Gaussian probit scores for the DNA and RNA, and integrate between the two platforms via a regression of the RNA probit scores on the DNA probit scores. Such a regression conveniently allows us to include additional sample specific covariates such as biological conditions and clinical outcomes. The two developed methods are aimed respectively to make inference on differential behaviour of genes in patients showing different subtypes of breast cancer and to predict the pathological complete response (pCR) of patients borrowing strength across the genomic platforms. Posterior inference is carried out via MCMC simulations. We demonstrate the proposed methodology using a published data set consisting of 121 breast cancer patients.     

Use of ordinal categorical variables in skeletal assessment of sex from the cranium

In anthropological studies, visual indicators of sex are traditionally scored on an ordinal categorical scale. Logistic and probit regression models are commonly used statistical tools for the analysis of ordinal categorical data. These models provide unbiased estimates of the posterior probabilities of sex conditional on observed indicators, but they do so only under certain conditions. We suggest a more general method for sexing using a multivariate cumulative probit model and examine both single indicator and multivariate indicator models on a sample of 138 crania from a Late Mississippian site in middle Tennessee. The crania were scored for five common sex indicators: superciliary arch form, chin form, size of mastoid process, shape of the supraorbital margin, and nuchal cresting. Independent assessment of sex for each individual is based on pubic indicators. The traditional logistic regressions are cumbersome because of limitations imposed by missing data. The logistic regression correctly classified 66/74 males and 46/64 females, with an overall correct classification of 81%. The cumulative probit model classified 64/74 males correctly and 51/64 females correctly for an overall correct classification rate of 83%. Finally, we apply parameters estimated from the logit and probit models to find posterior probabilities of sex assignment for 296 additional crania for which pubic indicators were absent or ambiguous. Am J Phys Anthropol 107:97–112, 1998. © 1998 Wiley-Liss, Inc.     

Studies in the dynamics of disinfection: IV. The reaction between phenol and Bact. coli: the true shape of the probit-log survival-time curve

The results of numerous experiments on the disinfection of standard cultures of Bact. coli with phenol, under rigidly controlled conditions, have been combined and used to elucidate the true shape of the probit-log survival-time curve. It is concluded that the true shape is that of a very asymmetrical sigmoid curve. When the disinfection is slow, the curve approximates closely to a bilinear form with one line of small and one of large slope up to high probit values, but in faster disinfections the curvature of the steeper line is evident, especially above the probit value of 8.     

Tractable Bayes of skew-elliptical link models for correlated binary data

Correlated binary response data with covariates are ubiquitous in longitudinal or spatial studies. Among the existing statistical models, the most well-known one for this type of data is the multivariate probit model, which uses a Gaussian link to model dependence at the latent level. However, a symmetric link may not be appropriate if the data are highly imbalanced. Here, we propose a multivariate skew-elliptical link model for correlated binary responses, which includes the multivariate probit model as a special case. Furthermore, we perform Bayesian inference for this new model and prove that the regression coefficients have a closed-form unified skew-elliptical posterior with an elliptical prior. The new methodology is illustrated by an application to COVID-19 data from three different counties of the state of California, USA. By jointly modeling extreme spikes in weekly new cases, our results show that the spatial dependence cannot be neglected. Furthermore, the results also show that the skewed latent structure of our proposed model improves the flexibility of the multivariate probit model and provides a better fit to our highly imbalanced dataset.     

A Symmetric Extended Logistic Model with Applications to Experimental Toxicity Data

The fit of the logit and probit models for quantal response data can be improved by embedding these classical models within a richer parametric family indexed by one or two shape parameters. In this paper, a symmetric extended logistic model indexed by a shape parameter λ is discussed with application to dose response curves. The usual maximum likelihood method is employed to estimate the parameters of the model. The need to include the shape parameter λ is illustrated by analyzing a set of real experimental data and comparing the fit of the extended logistic model to those obtained by the standard logit and probit models.     

Gel-filtration chromatographic method for determining relative binding affinities: rat hepatic estrogen receptor as an example system

We report a gel-filtration-based chromatographic method for separation of specific, nonspecific, and free radioligand in a protein receptor-ligand binding assay for the example of the estrogen receptor ERalpha. This assay affords relative binding affinities (RBAs) without the need for a separate determination of nonspecific binding. The probit method is recommended as the most satisfactory method of evaluating the data. The assay responds to both estrogen agonists and antagonists, mixtures respond additively, and the slopes of the probit plots indicate that all ligands bind to the same site on the estrogen receptor. RBAs obtained with rat and rainbow trout ERalpha were in good agreement, and also with those from other reported assays, consistent with the interspecies conservation of key regions of the ligand binding domain among estrogen receptors.