Putting age-related task activation into large-scale brain networks: A meta-analysis of 114 fMRI studies on healthy aging

Normal aging is associated with cognitive decline and underlying brain dysfunction. Previous studies concentrated less on brain network changes at a systems level. Our goal was to examine these age-related changes of fMRI-derived activation with a common network parcellation of the human brain function, offering a systems-neuroscience perspective of healthy aging. We conducted a series of meta-analyses on a total of 114 studies that included 2035 older adults and 1845 young adults. Voxels showing significant age-related changes in activation were then overlaid onto seven commonly referenced neuronal networks. Older adults present moderate cognitive decline in behavioral performance during fMRI scanning, and hypo-activate the visual network and hyper-activate both the frontoparietal control and default mode networks. The degree of increased activation in frontoparietal network was associated with behavioral performance in older adults. Age-related changes in activation present different network patterns across cognitive domains. The systems neuroscience approach used here may be useful for elucidating the underlying network mechanisms of various brain plasticity processes during healthy aging.     

基于复杂网络技术对电针治疗乳腺增生病处方分析

目的基于复杂网络技术分析电针治疗乳腺增生病的核心穴位及配伍穴相关性,并对电针波型进行探讨。方法检索中国期刊全文数据库(CNKI)、万方数据库、维普网数据库(VIP)中从1954年1月1日到2018年12月31日公开发表的电针治疗乳腺增生病的临床中文文献,利用Excel表格工具建立电针治疗乳腺增生病数据库,利用Matlab2014a软件进行节点中心性分析和聚类分析,利用Gephi0.9.1软件制作复杂网络示意图对分析结果进行描述和展示,利用Excel表格工具制作电针治疗乳腺增生病不同波形比例饼状图并分析其规律。结果选定43条电针处方:电针治疗乳腺增生病主穴核心度前三位依次为膻中穴、足三里、肩井穴;配伍穴位核心度前三位依次为太冲穴、太溪穴、脾俞穴;经络核心度前三位依次为足阳明胃经、任脉、足少阳胆经。配伍穴位相关性分析中,相关性频度前三位组合依次为太冲穴-太溪穴、太冲穴-肾俞穴、太冲穴-三阴交。电针波形中以连续波与疏密波常见,均具有较高的临床应用价值。结论电针治疗乳腺增生病处方以足阳明胃经为最多,其次为任脉;电针波型以连续波为主。     

孤独症谱系障碍社会脑神经网络基础及其研究进展

孤独症谱系障碍(ASD)的核心诊断特征是社会交流障碍以及受限和重复的行为和兴趣,症状常在生命的最初几年出现。过去的二十年内,神经成像揭示了许多“社会性”大脑的非典型活动和异常连通性的发现,包括梭状回对面部和凝视的分析、杏仁核的情绪处理、默认模式网络的心智化以及镜像神经元相关区域对他人行为的模仿和理解,但对于社交功能缺陷潜在的神经生理机制还未达成一致。除了方法学上的挑战以及聚焦于单个大脑网络的连通性研究以外,更深层次的问题是ASD的极强异质性。这种不一致的发现,可能是由于诊断标准的变化以及学龄前期的ASD患儿存在非典型的神经发育轨迹,因此,有必要进行孤独症亚型的队列研究和大样本的纵向队列研究。     

基于网络药理学的气滞胃痛颗粒抗炎镇痛活性作用分析

目的通过网络药理学的方法预测气滞胃痛颗粒抗炎镇痛主要活性成分的作用靶点,结合中医方解配伍理论对其多成分-多靶点-多通路的作用进行分析。方法基于TCMSP中药系统生物学分析数据库收集气滞胃痛颗粒中6味中药的主要化学成分,并借助LC-MS技术对所筛成分进行分析,通过TCMSP检索和Pharmmapper软件预测获取各成分主要的作用靶标,并通过DIP数据库,利用蛋白质相互作用信息建立药物靶标与炎症疼痛靶标的关联,构建药物-靶标-疾病网络,通过网络特征分析气滞胃痛颗粒抗炎镇痛的作用靶标,阐释其抗炎镇痛的主要作用机制。结果根据网络分析,共有44个炎症疼痛靶点与气滞胃痛颗粒密切相关,其中直接作用靶点有20个,主要是对环加氧酶-2(COX-2)和诱导型一氧化氮合酶(i NOS)等蛋白酶的作用,作用机制可能与调节肿瘤坏死因子(TNF)信号通路、NOD样受体(NLR)信号通路、血管内皮生长因子(VEGF)信号通路等与炎症疼痛密切相关的信号通路有关。结论气滞胃痛颗粒抗炎镇痛作用体现了中药多成分、多靶点、多途径的作用特点,该研究为深入阐释气滞胃痛颗粒抗炎镇痛作用机制提供科学依据,并且进一步说明了中医药古方配伍理论的科学性。     

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。     

Validation of PATHFx 2.0: An open-source tool for estimating survival in patients undergoing pathologic fracture fixation

Treatment decisions in patients with metastatic bone disease rely on accurate survival estimation. We developed the original PATHFx models using expensive, proprietary software and now seek to provide a more cost-effective solution. Using open-source machine learning software to create PATHFx version 2.0, we asked whether PATHFx 2.0 could be created using open-source methods and externally validated in two unique patient populations. The training set of a well-characterized, database records of 189 patients and the bnlearn package within R Version 3.5.1 (R Foundation for Statistical Computing), was used to establish a series of Bayesian belief network models designed to predict survival at 1, 3, 6, 12, 18, and 24 months. Each was externally validated in both a Scandinavian (n = 815 patients) and a Japanese (n = 261 patients) data set. Brier scores and receiver operating characteristic curves to assessed discriminatory ability. Decision curve analysis (DCA) evaluated whether models should be used clinically. DCA showed that the model should be used clinically at all time points in the Scandinavian data set. For the 1-month time point, DCA of the Japanese data set suggested to expect better outcomes assuming all patients will survive greater than 1 month. Brier scores for each curve demonstrate that the models are accurate at each time point. Statement of Clinical Significance: we successfully transitioned to PATHFx 2.0 using open-source software and externally validated it in two unique patient populations, which can be used as a cost-effective option to guide surgical decisions in patients with metastatic bone disease.     

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。