MicroRNA-181a is elevated by 10-hydroxycamptothecin and represses lung carcinoma progression by downregulating FOXP1

Tumor progression is usually characterized by proliferation, migration, and angiogenesis, which is essential for supplying both nutrients and oxygen to the tumor cells. Therefore, targeting angiogenesis has been considered a promising therapeutic strategy for cancer prevention and treatment. In the present study, we demonstrated that in addition to suppressing lung cancer cell proliferation and migration in vitro, 10-hydroxycamptothecin (10-HCPT) is also capable of inhibiting angiogenesis in vivo with a miR-181a-dependent manner. Mechanistically, by upregulating miR-181a, which in turn downregulating FOXP1, 10-HCPT can inhibit the PI3K/Akt/ERK signaling pathwaymediated angiogenesis. Furthermore, reduced levels of miR-181a have been found in both lung cancer cell lines and xenograft with concurrently elevated levels of FOXP1, VEGF, bFGF, and HDGF. Consistent with the findings from the in vitro experiments, miR-181a impairs neovascularization in our xenograft model. In summary, our findings have not only established the anti-oncogenic role of miR-181a in lung cancer angiogenesis but also suggest that 10-HCPT could be a potential therapeutic reagent for lung cancer treatment.     

An integrated bioinformatics analysis and experimental study identified key biomarkers CD300A or CXCL1, pathways and immune infiltration in diabetic nephropathy mice

Diabetic nephropathy (DN) is a common microvascular complication that easily leads to end-stage renal disease. It is important to explore the key biomarkers and molecular mechanisms relevant to diabetic nephropathy (DN). We used highthroughput RNA sequencing to obtain the genes related to DN glomerular tissues and healthy glomerular tissues of mice. Then we used LIMMA to analyze differentially expressed genes (DEGs) between DN and non-diabetic glomerular samples. And we performed KEGG, gene ontology functional (GO) enrichment, and gene set enrichment analysis to reveal the signaling pathway of the disease. The CIBERSORT algorithm based on support vector machine was used to determine the immune infiltration score. Random forest algorithm and Cytoscape obtained hub genes. Finally, we applied co-staining, immunohistochemical staining, RT-qPCR and western blotting to validate the protein and mRNA expression of both hub genes. We obtained 913 DEGs mainly related to inflammatory factors and immunity. GSEA results showed that differential genes were mainly enriched in IL-17 signaling pathway, lipid and atherosclerosis, rheumatoid arthritis, TNF signaling pathway, neutrophil extracellular trap formation, Staphylococcus aureus infection and other pathways. The intersection of the random forest algorithm and Cytoscape revealed both hub genes of CD300A and CXCL1. Experiments have shown that the both key genes of CD300A and CXCL1 shown increased expression in glomerular podocytes, and are related to the inflammation of diabetic nephropathy. And immunohistochemical staining and RT-qPCR further confirmed that the protein and mRNA expression level of CD300A or CXCL1 in glomeruli tissue in DN mice were increased. The expression levels of CD300A and CXCL1 increased significantly under HG (high glucose) stimulation, further confirming that diabetes can lead to increased levels of CD300A and CXCL1 at the cellular level. Through bioinformatics analysis, machine learning algorithms, and experimental research, CD300A and CXCL1 are confirmed as both potential biomarkers in diabetic nephropathy. And we further revealed the main pathways of differential genes and the differentially distributed immune infiltrating cells in diabetic nephropathy.     

间隙配合变轨距轮对与轨道间瞬态滚滑接触模拟研究

变轨距技术是实现不同轨距铁路联运的重要手段，我国相关研究仍在起步阶段。基于显式有限元法，建立包含渐开线花键副的三维变轨距轮对-轨道耦合瞬态分析模型，于时域内模拟速度高至400 km/h下的瞬态轮轨滚滑和花键间动态接触行为及其相互影响。模型充分考虑轮轨和花键副三维几何、系统高频结构振动等，引入时变牵引/制动转矩，采用集成库仑摩擦定律的"面-面"接触算法求解轮轨接触和花键接触。假设圆柱直齿渐开线花键，齿数取32，齿侧间隙恒0.1 mm，无激励下模拟结果表明，花键副的存在使得轮轨力波动范围大于传统轮对，例如，400 km/h下法向轮轨力波动幅值增加静载的3.7%。时速400 km/h和牵引系数0.05下，内外花键的径向和角向偏置使得花键左、右两侧各存在1个位置相对固定的承载区，各涉及5~6个键齿，承载面分别为II和I键齿工作面。瞬态法、切向接触应力极值发生在靠近一系悬挂侧的齿根或齿顶部，典型值分别为102 MPa和4.6 MPa，任一键齿的应力极值因不断有键齿进出承载区而波动上升和下降。牵引系数0.3时，左侧承载区消失，右侧承载区扩至18个键齿，相同时刻下的法、切向接触应力极值因承载齿数和总接触面积增加变为89 MPa和5.2 MPa。为变轨距机构中花键的强度和动力学分析及相关设计提供精确模拟手段。     

沿海地区管道漏油分布模拟及试验验证

某沿海埋地输油管道发生大量漏油事故,为准确定位漏油在地下的分布范围,基于多孔介质中的多相流理论研究该沿海输油管道在地下的泄漏扩散分布特点。通过构建沿海埋地输油管道的泄漏物理模型,对地下漏油的渗流扩散开展计算流体动力学(CFD)仿真模拟。泄漏发生后,漏油在管道输送压力驱动下会驱替周围的水分,形成一个水包油的地下漏油区;泄漏停止后,地下漏油以水包油的形式较稳定地分布在地下区域。结合1 200 t的漏油总量可获得本次泄漏半径约为83 m,通过对泄漏点附近区域钻孔工程试验验证,钻孔测量漏油的分布范围结果与仿真结果吻合较好。模拟获得的漏油分布规律可为沿海埋地输油管道的应急抢险提供理论支持。     

数字化射线检测技术在船舶领域的应用

随着数字射线检测技术的不断发展,CR与DR数字射线检测技术以其检测灵敏度高、检测速度快及底片数据电子化存储等优势越来越广泛地应用于各行业中。针对船舶行业射线检测的主要检测对象(钢板对接焊缝、管路对接焊缝),开展了CR数字射线检测技术等价性评价、典型裂纹试验,以及基于不同种类射线装置的DR数字射线检测工艺试验,验证了数字化射线检测技术在船舶领域应用的适用性。     

基于混合特征LLE融合与SVM的质量异常模式识别

针对生产过程中存在的异常模式识别的问题,提出基于LLE融合与支持向量机的质量异常模式识别方法。首先从动态数据流中提取其原始特征、统计特征、几何特征并将其进行混合,形成动态数据流的混合特征,然后利用LLE算法对混合特征进行降维,将降维后的特征集作为MSVM分类器的输入进行训练,同时采用粒子群算法对MSVM分类器进行参数寻优。最后用训练好的模型对动态数据流进行异常模式的识别。并将所提方法与单一类型特征方法、混合特征方法的识别模型进行比较,仿真结果和应用实例表明,所提方法的识别精度较高,可用于生产过程的质量异常模式识别中。     

时效时间对7150铝合金组织和性能的影响

通过维氏硬度测试、电导率测试和拉伸、晶间腐蚀等测试方法,研究了预时效、回归及再时效三个阶段中的时效时间对7150铝合金组织和性能的影响,借助透射电镜观察时效处理各阶段合金的微观组织演变。结果表明:120℃×20 h欠时效作为预时效工艺,比120℃×24 h峰时效的晶内析出相更细小,高温回归时更利于回溶。在190℃短时回归5、15和30 min中,15 min回溶效果最好,硬度最低,再经120℃×24 h再时效后合金抗拉强度Rm、屈服强度RP0.2、伸长率A分别为622 MPa、573 MPa、10.8%,显微硬度为204 HV,力学性能与120℃×24 h单级峰时效时相近。经120℃×20 h+190℃×15 min+120℃×24 h处理后7150铝合金综合性能好,耐晶间腐蚀性能佳。     

石墨烯/碱式硫酸镁晶须/PVC复合材料的制备及性能表征

以改进的Hummers法制备还原氧化石墨烯(RGO),以RGO和碱式硫酸镁晶须(MHSHw)为填料,采用机械球磨法制备RGO/MHSHw/PVC复合粉料,经平板硫化机热压成型得三相复合板材。考察了RGO和MHSHw对复合材料电阻率、阻燃性能及力学性能的影响。结果表明:RGO具有很好的片层结构和导电性;当MHSHw添加量为5%,RGO添加量为1%时,RGO/MHSHw/PVC复合板材的表面电阻率为4×106Ω/square,比纯PVC下降8个数量级,达到了商业抗静电效果,拉伸强度达到最大值17.61 MPa,比纯PVC提高了44.04%,复合板材氧指数>33%,具有阻燃性能,得到力学性能优良兼具有抗静电和阻燃性能的复合材料。     

低温溶液缩聚法制备聚间苯二甲酰对苯二胺

采用低温溶液缩聚法制备了聚间苯二甲酰对苯二胺(PPIA),讨论了单体浓度、单体物质的量配比、反应温度等因素对聚合反应的影响,并用红外光谱(IR)、热重分析(TG)、X射线衍射(XRD)、扫描电镜(SEM)对实验产物进行了测定。红外检测出的特征峰符合PPIA的结构特征,热重测得热分解速率最大温度在520℃左右,X射线衍射表明聚合物有明显结晶现象,并且扫描电镜显示下的聚合物结构聚集状态良好。