Differential regulation of cutaneous oncoprotein HPVE6 by wtp53, mutant p53R248W and ΔNp63α is HPV type dependent

UV exposure and p53 mutations are major factors in non-melanoma skin cancer, whereas a role for HPV infections has not been defined. Previous data demonstrated the wtp53-mediated degradation of cutaneous HPV20E6 by caspase-3. ΔNp63α and hot-spot mutant p53R248W conveyed a protective effect on HPV20E6 under these conditions. We demonstrate a differential regulation by wtp53 of the E6 genes of cutaneous types HPV4, HPV5, HPV7, HPV27, HPV38, HPV48, HPV60 and HPV77. Caspase- or proteasome-mediated down-regulation was HPV type dependent. Mutant p53R248W up-regulated expression of all these E6 proteins as did ΔNp63α except for HPV38E6 which was down-regulated by the latter. None of these cellular proteins affected HPV41E6 expression. Ectopic expression of both mutp53R248W and ΔNp63α in the normal NIKS keratinocyte cell line harbouring endogenous p53 and p63however led to a down-regulation of HPV20E6. We demonstrate that HPV20E6 expression in these cells is modulated by additional, yet unidentified, cellular protein(s), which are not necessarily involved in apoptosis or autophagy. We further demonstrate proliferation of HPV20E6-expressing keratinocytes. Levels of proteins involved in cell cycle control, cyclin-D1, cdk6 and p16(INK4a), phosphorylated pRB, as well as c-Jun and p-c-Jun, were all increased in these cells. HPV20E6 did not compete for the interaction between p16(INK4a) with cyclin-D1 or cdk6. Phosphorylation of pRB in the HPV20E6 expressing cells seems to be sufficient to override the cytokenetic block induced by the p16(INK4a)/pRB pathway. The present study demonstrates the diverse influence of p53 family members on individual cutaneous HPVE6 proteins. HPV20E6 expression also resulted in varying protein levels of factors involved in proliferation and differentiation.     

Plasmacytoid dendritic cells in antiviral immunity and autoimmunity

Plasmacytoid dendritic cells (pDCs) represent a unique and crucial immune cell population capable of producing large amounts of type I interferons (IFNs) in response to viral infection. The function of pDCs as the professional type I IFN-producing cells is linked to their selective expression of Toll-like receptor 7 (TLR7) and TLR9, which sense viral nucleic acids within the endosomal compartments. Type I IFNs produced by pDCs not only directly inhibit viral replication but also play an essential role in linking the innate and adaptive immune system. The aberrant activation of pDCs by self nucleic acids through TLR signaling and the ongoing production of type I IFNs do occur in some autoimmune diseases. Therefore, pDC may serve as an attractive target for therapeutic manipulations of the immune system to treat viral infectious diseases and autoimmune diseases.     

五爪金龙乙醇提取物对福寿螺毒杀和水稻苗生长的影响

福寿螺和五爪金龙是两种危害严重的入侵生物,利用五爪金龙防治稻田福寿螺是以害治害的方法.盆栽条件下研究了五爪金龙乙醇提取物毒杀福寿螺的效果,以及其对水稻苗生长的影响.在砂培条件下五爪金龙乙醇提取物及其分离得到的甲醇相、乙酸乙酯相、乙醚相水溶液不仅对福寿螺起到毒杀作用, 而且对水稻秧苗生长有促进作用, 毒杀和促进作用由强到弱的顺序均为:乙醇提取物>甲醇相>乙酸乙酯相>乙醚相.在实验浓度范围内五爪金龙乙醇提物对福寿螺的毒杀效果及其对水稻苗促进作用强度均随浓度的增大而增强,在水稻土盆栽条件下抑制福寿螺取食水稻苗的效果与密达差异不显著(p>0.05).五爪金龙乙醇提取物能毒杀福寿螺,对水稻苗的生长没有不利的影响.因此, 利用五爪金龙防治稻田福寿螺危害是环境友好的非化学防治措施,具有良好的应用前景.     

磺胺嘧啶银混悬液联合银锌霜分阶段疗法在大面积烧伤中的应用

目的:观察2008年1月至2010年12月期间98例TBSA大于35%的烧伤病人创面联合应用磺胺嘧啶银混悬液联合银锌霜的疗效.方法:以同期76例应用碘伏的病人作为对照,两组病人的平均年龄、烧伤面积、Ⅲ度面积无显著差别,用药方式均以半暴露为主.结果:磺胺嘧啶银混悬液联合银锌霜组能显著增加细菌转阴率,减少抗生素应用时间及植皮手术次数,缩短愈合时间.结论:磺胺嘧啶银混悬液联合银锌霜较碘伏能显著增加抗感染能力,有利于肉芽创面形成,为自行愈合或再次手术打下良好基础,值得应用.     

植酸对红豆杉细胞悬浮培养影响作用的研究

针对红豆杉细胞培养中经常遇到的褐变问题,以植酸做抗氧化剂,添加到悬浮细胞培养基中,能提高细胞鲜重,明显抑制细胞多酚氧化酶和过氧化物酶活性,从而有效地控制细胞褐变,促进红豆杉悬浮细胞生长。以005%浓度的添加效果最好。     

The forecast of the postoperative survival time of patients suffered from non-small cell lung cancer based on PCA and extreme learning machine

In this paper, a new effective model is proposed to forecast how long the postoperative patients suffered from non-small cell lung cancer will survive. The new effective model which is based on the extreme learning machine (ELM) and principal component analysis (PCA) can forecast successfully the postoperative patients' survival time. The new model obtains better prediction accuracy and faster convergence rate which the model using backpropagation (BP) algorithm and the Levenberg-Marquardt (LM) algorithm to forecast the postoperative patients' survival time can not achieve. Finally, simulation results are given to verify the efficiency and effectiveness of our proposed new model.