New Zealand Emergency Medicine Network: A collaboration for acute care research in New Zealand

The specialty of emergency medicine in Australasia is coming of age. As part of this maturation there is a need for high‐quality evidence to inform practice. This article describes the development of the New Zealand Emergency Medicine Network, a collaboration of committed emergency care researchers who share the vision that New Zealand/Aotearoa will have a world‐leading, patient‐centred emergency care research network, which will improve emergency care for all, so that people coming to any ED in the country will have access to the same world‐class emergency care.     

The critical role of the inferior frontal cortex in establishing a prediction model for generating subsequent mismatch negativity (MMN): A TMS-EEG study

BackgroundThe prediction violation account of automatic or pre-attentive change detection assumed that the inferior frontal cortex (IFC) is involved in establishing a prediction model for detecting unexpected changes. Evidence supporting the IFC’s contribution to prediction model is mainly based on the Mismatch Negativity (MMN) to deviants violating predictions that are established based on the frequently presented standard events. However, deviant detection involves processes, such as events comparison, other than prediction model establishment.ObjectiveThe current study investigated the critical role of the IFC in establishing a prediction model during standards processing for subsequent deviant detection.MethodsTranscranial Magnetic Stimulation (TMS) was applied at the IFC to disrupt the processing of the initial 2 or 5 standards of a 3-, 6-, or 9-standard train, while the MMN responses to pitch deviant presented after the standard trains were recorded and compared.ResultsAn abolishment of MMN was only observed when TMS was delivered to the IFC at the initial 2 standards of the 3-standard train, but not at the initial 5 standards, or when TMS at the vertex or TMS sound recording was applied. The MMNs were also preserved when IFC TMS, vertex TMS, or TMS sound recording was applied at the initial 2 or 5 standards of longer trains.ConclusionThe IFC plays a critical role in processing the initial standards of a short standard train for subsequent deviant detection. This result is consistent with the prediction violation account that the IFC is important for establishing the prediction model.     

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.     

基于网络药理学方法探究补肾活血汤治疗激素性股骨头坏死的作用机制

目的:探讨补肾活血汤治疗激素性股骨头坏死(steroid-induced osteonecrosis of the femoral head,SONFH)的作用机制。方法:通过中医药整合药理学网络计算研究平台(integrative pharmacology-based network computational research platform of Traditional Chinese Medicine,TCMIP)v2.0预测、筛选补肾活血汤组方中14味中药的作用靶标,通过GeneCards、CTD和OMIM数据库查询SONFH的疾病靶点。根据获取的药物靶标和疾病靶点,进一步利用TCMIP v2.0中医药关联网络分析模块构建"药物靶标-疾病靶点"相互作用网络,根据网络拓扑特征值筛选补肾活血汤治疗SONFH的核心作用靶点。利用GO和KEGG数据库,采用富集算法挖掘上述方剂核心作用靶点的生物学功能和通路信息。结果:共获得891个补肾活血汤药物靶标和365个SONFH疾病靶点。经"药物靶标-疾病靶点"相互作用网络分析,最终筛选出31个补肾活血汤治疗SONFH核心靶点,GO功能分析富集出生物过程532条、分子功能29条,KEGG信号通路富集分析出相关通路共12条,主要涉及炎症免疫调节(chemokine signaling pathway,Toll-like receptor signaling pathway,NOD-like receptor signaling pathway,leukocyte transendothelial migration,Complement and coagulation cascades,cytokine-cytokine receptor interaction)、血管新生及血液循环调节(VEGF signaling pathway)、神经系统调节(neuroactive ligand-receptor interaction)和细胞功能调节(apoptosis,regulation of actin cytoskeleton)等方面。结论:结合SONFH的病理机制,排除缺乏特异性的信号通路,我们推测补肾活血汤可能通过调节TLR4/NF-κB和VEGF信号通路发挥补肾壮骨、活血化瘀的功效,这可能是其治疗SONFH的作用机制之一。     

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。