针灸联合关节松动术治疗肩周炎的网状Meta分析＊

目的 运用网状Meta分析方法评价针灸联合关节松动术治疗肩周炎的疗效。方法 运用计算机检索Web of Science、PubMed、Cochrane Library、EMbase、维普（VIP）、中国知网（CNKI）、万方（Wanfang）、中国生物医学文献数据库（CBM），搜寻有关针灸联合关节松动术治疗肩周炎的随机对照试验。所有研究人员均独立纳排文献、提录资料、风险评估，对符合质量标准的RCT研究采用Stata16.0和Review Manager 5.4软件进行分析。结果 共检索出6561篇文献，最终纳入37项研究，涉及10种针灸联合关节松动术方法。总样本量2890例，其中试验组1432例，对照组1458例。网状Meta分析所得结果表明：①在总有效率方面，最好的3种治疗方法为内热针联合组、温针联合组、动筋针联合组；②在降低VAS评分方面，最好的3种治疗方法为内热针联合组、动筋针联合组、针刀联合组。结论 针灸联合关节松动术治疗肩周炎疗效总体优于单独使用，且内热针联合组具有最佳的疗效。     

中药复方配伍的研究方法及其进展

中药复方是由2味或2味以上中药遵循中医理论组合而成的方剂。多味中药在合适的剂量配比之下,协同发挥作用,实现中医的整体调节治疗。研究中药复方的配伍对推动中药现代化发展、新药开发以及临床应用有着重要意义。近年来,研究者们在传统的"七情和合"与"君臣佐使"的基础上,运用新技术和新方法对中药复方的成分、药效活性和药代动力学性质等进行了研究,从不同角度探讨了中药复方配伍的科学内涵。同时,多种数理方法和模型的建立、网络药理学和数据挖掘方法的发展与应用,也对中药复方配伍研究提供了很大帮助。研究方法的发展虽促进了中药复方配伍的科学研究,但还需进一步建立适合中药复方配伍复杂关系的研究方法,以阐明中药复方及其成分/组分配伍的内在规律,进而构建新的现代中药复方,这也是目前中药复方配伍研究的重点任务。     

基于网络药理学的济脉通片降压机制研究

目的 采用网络药理学阐明济脉通片多成分-多靶点-多途径的作用理念，为进一步研究济脉通片降压药效物质基础和机制提供一定理论参考。方法 通过TCMSP数据库，结合口服利用度（≥ 30%）和类药性分析（≥ 0.18）参数，筛选济脉通片的活性成分；通过Drugbank和TCMSP数据库进行靶点预测分析；通过GENCARD数据库筛选出高血压疾病相关基因；结合DAVID和KEGG数据库进行GO分析和通路分析；使用Cystoscope软件构建"化合物-靶点-作用通路"网络图。结果 经筛选后得到济脉通片的33个化合物，148个潜在靶基因并映射到了223条信号通路，其中31条信号通路与高血压的发生发展密切相关，其中AGE-RAGE signaling pathway in diabetic complications、PI3K-Akt signaling pathway、TNFsignaling pathway、Adrenergic signaling in cardiomyocytes和Focal adhesion为重要的通路枢纽。结论 济脉通片主要通过多成分、多靶点、多通路调节血管内皮功能、炎症反应、钙钠离子转运、糖脂代谢等参与血管舒张、改善炎症、调节机体代谢、调节离子转运等而产生降压作用。     

Research on medication use in the neonatal intensive care unit

Introduction: Research on medication use aims at assessing how much of current pharmacotherapy is rational. In neonates, this is hampered by extensive off-label drug use and limited knowledge.

Areas covered: We report on medication use research and have conducted a systematic review of observational studies on medication use to provide an updated overview on characteristics, objectives, methods, and patterns in hospitalized neonates. Moreover, a review on aspects of medication use for opioids, anti-epileptics, gastric acid-related disorders and respiratory stimulants with emphasis on trends and impact of interventions is presented, illustrating how research on medication use can contribute to improved neonatal pharmacotherapy and more focused research. Medication use reports describe patterns and provide signals on irrational use, benchmarking, or can guide research priorities. Moreover, this may generate information on how neonatal health topics and their pharmacotherapy are handled over time or across regions.

Expert opinion: Research on medicine utilization is relevant, since it will inform us on aspects like trends, variability, or about the impact and pattern of implementation of guidelines in neonates. Further progress necessitates to merge datasets on medication use with clinical characteristics, and perinatal drug use remains an area in need of additional research.     

黄芪活血功效及现代药理学研究进展

黄芪始载于《神农本草经》,有补气升阳、益卫固表,利水消肿,托毒生肌之效。被誉为补气健脾之要药,临床上常用于气虚乏力、脾虚泄泻等疾病,已为医者所熟知。近年来,研究学者围绕其补气、健脾、利水功效机制已有较全面的认识。然陶弘景在《本草经集注》首载黄芪"逐五脏间恶血",表明本品兼有活血作用。目前,对于本品活血作用机制阐释,中医常基于"补气活血""气行血行"理论进行论证,但并不等同于本品无活血作用。通过梳理历代本草文献中对黄芪的记载,发现其活血作用应用广泛。综合传统方剂与现代方剂中有关其活血作用的应用,本品在方中行活血通络、活血利水、活血扶正作用,尤能体现其活血作用。且现代药理学研究在有关瘀血病理指标的分子机制中,黄芪有很好的调控作用,表明黄芪有活血作用,但未深入探究,存在研究价值。该文从历代文献对黄芪活血功效的论述、黄芪活血作用的临床应用及现代药理学研究深入探讨其活血作用机制,以期扩展黄芪的临床应用范围,为临床治疗提供理论指导。     

华细辛和北细辛HPLC特征图谱识别与抗炎靶点及抗炎成分分析

建立华细辛和北细辛HPLC特征图谱并结合聚类分析研究2种来源细辛的识别方法;应用网络药理学方法预测细辛潜在抗炎靶点并寻找潜在抗炎成分。对89批细辛药材(12批华细辛和77批北细辛)的数据进行分析确定了11个特征峰,用对照品、紫外光谱和LC-MS指认了11个特征成分。特征峰面积聚类分析显示华细辛和北细辛被分为2类,且利用特征峰面积比值可实现两者区分,当特征峰9(细辛素)/参照峰S(卡枯醇)峰面积比值大于5时为华细辛,小于2时为北细辛。对119种细辛成分进行网络药理学分析的结果表明细辛抗炎作用可能与COX-2,COX-1,iNOS,MAPK14,LAT4H,NR3C1,PPARG和TNF等8个靶点相关,其中COX-2最为关键,与5种特征成分细辛脂素、芝麻脂素、细辛素、甲基丁香酚和黄樟醚均存在相互作用。此外,细辛脂素、芝麻脂素与iNOS,MAPK14也存在相互作用关系,黄樟醚和细辛素可作用于iNOS,COX-1,LAT4H,甲基丁香酚可作用于COX-1,LAT4H。细辛脂素与芝麻脂素均可作用在COX-2,iNOS和MAPK143个靶点上,提示它们是细辛发挥抗炎作用的活性成分;COX-2分子对接结果和COX-2活性实验结果验证了细辛脂素、芝麻脂素可抑制COX-2活性,为细辛抗炎作用活性成分。基于HPLC特征图谱的华细辛和北细辛识别方法简便易行;预测到的细辛抗炎靶点和抗炎成分为完善细辛质量评价体系奠定了基础。     

A network pharmacology-based strategy for predicting anti-inflammatory targets of ephedra in treating asthma

Asthma, the most common chronic respiratory disease in the world, is involved in a sustained inflammatory response caused by a variety of immune cells. Ephedra with multi-target, multi-pathway functions is an effective treatment for asthma. However, the ingredients and anti-inflammatory targets of ephedra in treating asthma are unclear. Therefore, there is a need for further research. Ephedra-related and anti-inflammatory targets were found and then combined to get intersection, which represented potential anti-inflammatory targets of ephedra. Moreover, compound-anti-inflammatory target and asthma-target protein-protein interaction network were merged to get the protein-protein interaction network intersection and core genes in asthma-target protein-protein interaction network. For the anti-inflammatory targets of ephedra in treating asthma, Gene Ontology and pathway analysis were executed to confirm gene functions of ephedra in antagonizing inflammation of asthma. Finally, molecular docking, qRT-PCR, WB and ELISA were performed to assess the binding activities between the compounds and anti-inflammatory targets of ephedra in treating asthma. Critical compounds and anti-inflammatory targets of ephedra in treating asthma were identified, including quercetin, luteolin, kempferol, naringenin, beta-sitosterol, SELE, IL-2 and CXCL10. The biological processes of anti-inflammatory targets of ephedra in treating asthma were involved in immune response, inflammatory response, cell-cell signaling and response to lipopolysaccharide. Moreover, 22 pathways were obtained and we proved that critical compounds inhabited the expression of SELE, IL-2 and CXCL10 at mRNA and protein levels.     

Difference in Survival in Early Kidney after Liver Transplantation Compared with Simultaneous Liver-Kidney Transplantation: Evaluating the Potential of the “Safety Net”

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