藏药绿萝花中1个新的香豆素

目的研究结香属藏药绿萝花(滇结香Edgeworthia gardneri干燥花蕾)的化学成分。方法利用硅胶、AB-8大孔树脂、sephadex LH-20、pre-HPLC等色谱方法对绿萝花进行分离纯化,根据理化常数测定及波谱数据分析鉴定化合物结构。结果从绿萝花70%乙醇提取物中分离得到4个化合物,分别鉴定为绿萝花苷C(1)、西瑞香素-5-O-β-D-吡喃葡萄糖基-(1→2)-β-D-吡喃葡萄糖苷(2)、(3S)-1,2,3,4-四氢-β-咔啉-3-羧酸(3)、二氢山柰酚(4)。结论化合物1为新化合物,化合物4为首次从该属植物中分离得到。     

帕罗西汀合用心理行为干预治疗老年期抑郁症的疗效

目的探讨帕罗西汀合用心理行为治疗对老年期抑郁症的疗效。方法将60例老年期抑郁症随机分成两组，进行为期6周的对照研究，出院后随访1年，分别用心理行为合并帕罗汀治疗（研究组）和帕罗西汀治疗（对照组）；采用汉密尔顿抑郁量表（HAMD）和临床疗效总评量表（CGI—SI）进行评定。结果研究组在治疗6周后HAMD评分（9．32±2．28）较对照组（13.17±3．39）有显著性差异（P〈0．01），研究组CGI—SI较对照组有显著性差异（P〈0．01），1年末随访时HAMD评分研究组（9.19±2．33）较对照组（13．98±4．96）有显著性差异（P〈0.01）。且研究组复发率低于对照组（P〈0.05）。结论帕罗西汀合用心理行为治疗对老年期抑郁症的疗效优于帕罗西汀，且复发率低。     

一种运动想象脑电分类算法的研究

为了解决脑机接口(BCI)中不同意识任务下脑电信号分类问题,针对运动想象脑电(EEG)的事件相关去同步/同步(ERD/ERS)现象,提出一种基于支持向量机(SVM)的实用分类算法。该算法首先对脑电信号进行滤波,获得对运动想象比较敏感的频段,对滤波后的脑电信号,通过去均值减小由于均值不同所造成的误差,然后,再提取基于ERD/ERS的脑电能量场强特征,对提取的特征,运用支持向量机(SVM)进行分类,得到了满意的效果。结果表明,此方法可为脑机接口技术的应用提供有效的手段。     

基于UHPLC-QE-MS分析结合网络药理学探讨小叶黄杨生物碱治疗阿尔茨海默病的作用机制

目的 鉴定小叶黄杨中生物碱类化学成分，探讨治疗阿尔茨海默病的物质基础和作用机制。方法 表征小叶黄杨生物碱成分，并利用PubChem、SwissADME、Swiss Target Prediction、Genecards和OMIM等数据库获取小叶黄杨生物碱的活性成分和对应靶点，以及阿尔茨海默病的相关靶点；运用Cytoscape3.9.0软件绘制“成分-靶点”网络图；运用String平台构建蛋白互作网络图；运用微生信在线绘图工具进行通路富集分析可视化；用AutodockTools-1.5.6软件对筛选出的核心成分做分子对接。结果 鉴定小叶黄杨生物碱成分23个，筛选有效成分19个，对应靶点216个；筛选阿尔茨海默病靶点880个，药物-疾病交集靶点49个；GO富集分析主要相关的生物过程有化学性突触传递，顺行跨突触信号，跨突触信号等；KEGG通路富集分析中神经活性配体-受体相互作用，5-羟色胺能突触，cAMP信号等为主要信号通路。分子对接显示筛选的核心靶点和核心成分均有较强结合力。结论 本研究初步证明了小叶黄杨生物碱成分可以多成分、多靶点、多通路共同作用治疗阿尔茨海默病，为进一步深入研究小叶黄杨生物碱对阿尔茨海默病作用的物质基础以及作用机制提供参考。     

Development of the decision tree model for distinguishing individuals of Chinese four surnames from Zhanjiang Han population based on Y-STR haplotypes

Co-separation studies between surnames and Y chromosome genetic markers are beneficial to revealing population migrations, surname origins, population formation histories and forensic familial searching. Genetic distributions of 27 Y-STRs in Chinese four surnames (Li, Lin, Chen and Huang) from Zhanjiang Han population were investigated. Meanwhile, we tried to develop a decision tree model for surname predictions based on Y-STR haplotypes. Allelic frequencies of 27 Y-STRs showed that unique alleles were only observed in a certain surname; besides, some alleles displayed higher frequencies in a certain surname than those in other surnames, implying these alleles might be employed as the useful indicators for surname predictions. Haplotype match probability values of 27 Y-STRs in these surnames revealed that the system could be used as a valuable tool for forensic male identification. The developed decision tree model performed well for the training set with the accuracy of 0.9860 and obtained the relatively high accuracy (>0.70) for surname predictions of the testing set. To sum up, we explored the power of the machine learning to the surname predictions based on obtained Y-STR haplotypes, which showed promising application values in forensic familial searching.     

Key players of the necroptosis pathway RIPK1 and SIRT2 are altered in placenta from preeclampsia and fetal growth restriction

IntroductionPreeclampsia (PE) and fetal growth restriction (FGR) are among the leading causes of perinatal morbidity and mortality. Placental insufficiency is central to these conditions. The mechanisms underlying placental insufficiency are poorly understood. Apoptosis has long been considered the only form of regulated cell death, recent research has identified an alternate process of programmed cell death known as necroptosis [1]. Necroptosis is distinct from apoptosis, relying on the deacetylase sirtuin-2 [2], receptor interacting kinases RIPK1 and 3, and the pseudokinase MLKL [3]. We aimed to determine whether these key necroptosis effector molecules were present in human placenta and whether they are differentially expressed in severe preterm (PT) PE and FGR.MethodsPT placentas from severe early onset (<34 weeks) PE (n = 30), FGR (n = 12) and control (18) pregnancies were collected. SIRT2 and RIPK1 localization and quantitation was determined by immunohistochemistry and western blot. Immunocytochemistry was used to detect SIRT2 and RIPK1 in trophoblastic debris from first trimester, term control and PE pregnancies. Expression of SIRT2, RIPK1, RIPK3 and MLKL was examined by qPCR.ResultsSIRT2 and RIPK1 were localized to the syncytiotrophoblast, villous leukocytes and vasculature in all PT placentas. A significant reduction in SIRT2 protein expression in both PE and FGR placentas was identified. RIPK1 mRNA expression was significantly increased in PE placentas. Immunofluorescence identified both SIRT2 and RIPK1 in the cytotrophoblast cytoplasm.DiscussionWe have identified the presence of activators of necroptosis in human placenta. Interestingly, there is differential expression in major pregnancy complications. We conclude necroptosis may contribute to placental pathophysiology that underlies serious pregnancy complications.