Test for increasing convex order in multivariate response

Trend test based on cross-classified data in dose-response has been a central problem in medicine. Most of existing test methods are known to only fit to binary response variables. However, the approaches for binary response tables may suffer from the lack of a clear choice for dichotomization. For multivariate response with ordered categories, some studies have been done for simple stochastic order, likelihood ratio order and so on. However, methods of statistical inference on increasing convex order for more than two multinomial populations have not been fully developed. For testing the increasing convex order alternative, this article provides a model-free test method which can be used in the case of two-way tables and stratified data. Two real examples will be used to illustrate how to apply our test method.     

Babesia bigemina,Babesia argentina, and Anaplasma marginale: Coinfectious immunity in bovines

Forty-eight intact and eight splenectomized cattle were used to evaluate different systems of coinfectious immunization against Babesia bigemina, Babesia argentina, and Anaplasma marginale. Coinfectious immunity was induced by two methods: (1) blood of cattle acutely infected with B. bigemina, B. argentina and A. marginale was used as the source of inoculum and the post vaccination reactions were chemotherapeutically controlled with Imidocarb, Ganaseg, Gloxazone, and Liquamycin, and (2) by artificially inducing babesiosis with the blood of carrier cattle with chronic infections of B. bigemina and B. argentina without chemotherapy. The degree of resistance was determined by bloodborne and tick-borne challenges. Ticks were collected from cattle and identified as Boophilus microplus and Dermacentor nitens. Vaccinated cattle demonstrated a high degree of resistance to babesiosis and anaplasmosis; however, cattle without coinfectious immunity were treated chemotherapeutically to prevent death losses.     

Methylglyoxal accumulation de-regulates HoxA5 expression,thereby impairing angiogenesis in glyoxalase 1 knock-down mouse aortic endothelial cells

Impaired angiogenesis leads to long-term complications and is a major contributor of the high morbidity in patients with Diabetes Mellitus (DM). Methylglyoxal (MGO) is a glycolysis byproduct that accumulates in DM and is detoxified by the Glyoxalase 1 (Glo1). Several studies suggest that MGO contributes to vascular complications through mechanisms that remain to be elucidated. In this study we have clarified for the first time the molecular mechanism involved in the impairment of angiogenesis induced by MGO accumulation.Angiogenesis was evaluated in mouse aortic endothelial cells isolated from Glo1-knockdown mice (Glo1KD MAECs) and their wild-type littermates (WT MAECs). Reduction in Glo1 expression led to an accumulation of MGO and MGO-modified proteins and impaired angiogenesis of Glo1KD MAECs. Both mRNA and protein levels of the anti-angiogenic HoxA5 gene were increased in Glo1KD MAECs and its silencing improved both their migration and invasion. Nuclear NF-?B-p65 was increased 2.5-fold in the Glo1KD as compared to WT MAECs. Interestingly, NF-?B-p65 binding to HoxA5 promoter was also 2-fold higher in Glo1KD MAECs and positively regulated HoxA5 expression in MAECs. Consistent with these data, both the exposure to a chemical inhibitor of Glo1 “SpBrBzGSHCp2” (GI) and to exogenous MGO led to the impairment of migration and the increase of HoxA5 mRNA and NF-?B-p65 protein levels in microvascular mouse coronary endothelial cells (MCECs).This study demonstrates, for the first time, that MGO accumulation increases the antiangiogenic factor HoxA5 via NF-?B-p65, thereby impairing the angiogenic ability of endothelial cells.     

诸葛菜茎叶中黄酮类化合物的研究

诸葛菜茎叶乙醇提取物用Ｍｇ＋ＨＣｌ,Ｚｎ＋ＨＣｌ,１％ＦｅＣｌ３－乙醇液,１％ＮａＯＨ进行显色反应,呈现黄酮类化合物性质特征颜色。又以槲皮素,山柰酚,异鼠李素为对照品,采用ＨＰＬＣ法分析测定了其茎叶中黄酮醇的含量。结果表明干品中总黄酮含量（以甙元计）为０．５６８％。     

普通鸡冠花序中黄酮类化合物的研究

红色普通鸡冠（Ｃｅｌｏｓｉａ ａｒｇｅｎｔｅａ Ｌ．,ｒｅｄ ｆｌｏｗｅｒ）花序乙醇提取物用Ｍｇ＋ＨＣｌ,Ｚｎ＋ＨＣｌ,１％ＦｅＣｌ３－乙醇液,２％ＡｌＣｌ３－乙醇液,１％ＮａＯＨ进行显色反应,呈现黄酮类化合物性质特征颜色。又以槲皮素、山奈酚、异鼠李素为对照品,采用ＨＰＬＣ法测定分析了不同花期花序中黄酮醇的含量。结果表明,晚期花序干品中总黄酮含量（以甙元计）为０．７６１％。     

Pharmacological Profile of the “Triple” Monoamine Neurotransmitter Uptake Inhibitor, DOV 102,677

Summary 1. The molecular and behavioral pharmacology of DOV 102,677 is characterized.2. This characterization was performed using radioligand binding and neurotransmitter uptake assays targeting the monoamine neurotransmitter receptors. In addition, the effects of DOV 102,677 on extracellular neurotransmitter levels were investigated using in vivo microdialysis. Finally, the effects of DOV 102,677 in the forced swim test, locomotor function, and response to prepulse inhibition was investigated.3. DOV 102,677 is a novel, “triple” uptake inhibitor that suppresses [³H]dopamine (DA), [³H]norepinephrine (NE) and [³H]serotonin (5-HT) uptake by recombinant human transporters with IC₅₀ values of 129, 103 and 133 nM, respectively. Radioligand binding to the dopamine (DAT), norepinephrine (NET), and serotonin (SERT) transporters is inhibited with k _i values of 222, 1030, and 740 nM, respectively. DOV 102,677 (20 mg/kg IP) increased extracellular levels of DA and 5-HT in the prefrontal cortex to 320 and 280% above baseline 100 min after administration. DA levels were stably increased for the duration (240 min) of the study, but serotonin levels declined to baseline by 200 min after administration. NE levels increased linearly to a maximum of 348% at 240 min post-dosing. Consistent with these increases in NE levels, the density of β-adrenoceptors was selectively decreased in the cortex of rats treated with DOV 102,677 (20 mg/kg per day, PO, 35 days).4. DOV 102,677 dose-dependently reduced the amount of time spent immobile by rats in the forced swim test, a model predictive of antidepressant activity, with a minimum effective dose (MED) of 20 mg/kg and a maximal efficacy comparable to imipramine. This decrease in immobility time did not appear to result from increased motor activity. Further, DOV 102,677 was as effective as methylphenidate in reducing the amplitude of the startle response in juvenile mice, without notably altering motor activity.5. In summary, DOV 102,677 is an orally active, “balanced” inhibitor of DAT, NET and SERT with therapeutic versatility in treating neuropsychiatric disorders beyond depression.     

从我国成人手足口病患者疱液中首次分离出肠道病毒71型

本文报道了从我国手足口病(HFMD)患者疱液中肠道病毒71(E71)型H株的分离和鉴定。该株病毒可在原代人胚肺(HEL)细胞、MA104细胞、BSC细胞中生长繁殖,导致典型的肠道病毒CPE出现。将H株接种乳鼠后出现肢体麻痹、第6天开始死亡。电镜下可见感染H株的BSC细胞胞浆中出现大量的结晶状排列的成熟病毒颗粒,直径约25nm。患者双份血清中有对H株4倍增高的中和抗体存在。采用100抗体单位的抗Cox A5、7、9、16、E70、E71抗体和50抗体单位的LBM组合血清A-H以及抗E71BrCr株MeAb P27对H株进行中和试验时,H株可被抗E71血清和MeAb P27所中和。抗E71抗体对H株的最低有效中和作用为1.6抗体单位,MeAb P27对H株的有效中和作用是64抗体单位。其它血清则无此中和作用。然而,在鉴定过程中发现,高滴度的抗Cox A16抗体(200抗体单位以上)也显出有中和H株的作用,提示我们所分离的H株含有与Cox A16的型间共同抗原。     

Chlorophyll a fluorescence kinetics of mung bean (Vigna radiata L.) grown under artificial continuous light

Continuous light can be used as a tool to understand the diurnal rhythm of plants and it can also be used to increase the plant production. In the present research, we aimed to investigate the photosynthetic performance of V. radiata under continuous light as compared with the plants grown under normal light duration. Chlorophyll a fluorescence transient (OJIP test) technique was used to understand the effect on various stages of photosynthesis and their consequences under continuous light condition. Various Chl a Fluorescence kinetic parameters such as Specific energy fluxes (per Q_A-reducing PSII reaction center (RC)) (ABS /RC; TR₀/RC; ET₀/RC; DI₀/RC), phenomenological fluxes, leaf model, (ABS/CSm; TR/CSm; ETo/CSm), Quantum yields and efficiencies (φPo; φEo; Ψo) and Performance index (PI_abs) was extracted and analysed in our investigation. Conclusively, our study has revealed that continuous light alters the photosynthetic performance of V. radiata at a different point but also improve plant productivity.     

我国林火发生预测模型研究进展

通过文献回顾,总结了国内林火发生预测模型的研究现状,并从林火发生驱动因子、林火发生概率预测模型、林火发生频次预测模型和模型检验方法等方面进行归纳分析。得出以下结论: 1)气象、地形、植被、可燃物、人类活动等因素是影响林火发生及模型预测精度的主要驱动因子;2)林火发生概率模型中,地理加权逻辑斯蒂回归模型考虑了变量之间的空间相关性,Gompit回归模型适宜非对称结构的林火数据,随机森林模型不需要多重共线性检验,在避免过度拟合的同时提高了预测精度,是林火发生概率预测模型的优选方法之一;3)林火发生频次模型中,负二项回归模型更适合对过度离散数据进行模拟,零膨胀模型和栅栏模型可以处理林火数据中包含大量零值的问题;4)ROC检验、AIC检验、似然比检验和Wald检验方法是林火概率和频次模型的常用检验方法。林火发生预测模型研究仍是我国当前林火管理工作的重点,预测模型的选择需要依据不同地区林火数据特点。此外,构建林火预测模型时需要考虑更多的影响因素,以提高模型预测精度;未来,需要进一步探索其他数学模型在林火发生预测中的应用,不断提高林火发生预测模型的准确度。