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| 1 | 基于复杂网络技术的中医诊疗规律研究进展显示文摘复杂网络技术从网络角度描述系统结构功能并发掘普遍规律,被广泛应用于多学科的研究当中。中医临床中疾病证候的诊断、方剂中药物的综合效应等均具有复杂的相互作用,因此近年来多研究开展了基于复杂网络技术的中医诊疗相关研究,为揭示中医临床数据中的核心共性知识提供了新方法,并且取得了一定的进展。文章以近十年复杂网络技术运用于中医诊疗规律的研究进行概述。 | 白景瑄 胡晓娟 许家佗 | 2020 | 时珍国医国药2020，31，9： | 8 |
| 2 | Clinical features and the traditional Chinese medicine therapeutic characteristics of 293 COVID-19 inpatient cases显示文摘Coronavirus disease 2019 (COVID-19) is now pandemic worldwide and has heavily overloaded hospitals in Wuhan City, China during the time between late January and February. We reported the clinical features and therapeutic characteristics of moderate COVID-19 cases in Wuhan that were treated via the integration of traditional Chinese medicine (TCM) and Western medicine. We collected electronic medical record (EMR) data, which included the full clinical profiles of patients, from a designated TCM hospital in Wuhan. The structured data of symptoms and drugs from admission notes were obtained through an information extraction process. Other key clinical entities were also confirmed and normalized to obtain information on the diagnosis, clinical treatments, laboratory tests, and outcomes of the patients. A total of 293 COVID-19 inpatient cases, including 207 moderate and 86 (29.3%) severe cases, were included in our research. Among these cases, 238 were discharged, 31 were transferred, and 24 (all severe cases) died in the hospital. Our COVID-19 cases involved elderly patients with advanced ages (57 years on average) and high comorbidity rates (61%). Our results reconfirmed several well-recognized risk factors, such as age, gender (male), and comorbidities, as well as provided novel laboratory indications (e.g., cholesterol) and TCM-specific phenotype markers (e.g., dull tongue) that were relevant to COVID-19 infections and prognosis. In addition to antiviral/antibiotics and standard supportive therapies, TCM herbal prescriptions incorporating 290 distinct herbs were used in 273 (93%) cases. The cases that received TCM treatment had lower death rates than those that did not receive TCM treatment (17/273= 6.2% vs. 7/20= 35%, P = 0.0004 for all cases;17/77= 22% vs. 7/9= 77.7%, P = 0.002 for severe cases). The TCM herbal prescriptions used for the treatment of COVID-19 infections mainly consisted of Pericarpium Citri Reticulatae, Radix Scutellariae, Rhizoma Pinellia, and their combinations, which reflected the practical TCM principles (e.g., clearing heat and dampening phlegm). Lastly, 59% of the patients received treatment, including antiviral, antibiotics, and Chinese patent medicine, before admission. This situation might have some effects on symptoms, such as fever and dry cough. By using EMR data, we described the clinical features and therapeutic characteristics of 293 COVID-19 cases treated via the integration of TCM herbal prescriptions and Western medicine. Clinical manifestations and treatments before admission and in the hospital were investigated. Our results preliminarily showed the potential effectiveness of TCM herbal prescriptions and their regularities in COVID-19 treatment. | Zixin Shu Yana Zhou Kai Chang Jifen Liu Xiaojun Min Qing Zhang Jing Sun Yajuan Xiong Qunsheng Zou Qiguang Zheng Jinghui Ji Josiah Poon Baoyan Liu Xuezhong Zhou Xiaodong Li | 2020 | Frontiers of Medicine2020，14，6： | 7 |
| 3 | 全基因组关联分析在中医证候研究中的应用展望显示文摘中医证候的科学本质是中医基础研究中的核心内容,也是揭开中医辨证论治个性化治疗奥秘的关键,但目前对其的认识仍然有限。通过介绍复杂性状遗传学的基本概念,提出将证候作为生命活动表现的复杂性状,运用复杂性状遗传学研究手段,特别是当前迅速发展的全基因组关联分析(Genome-wide association study,GWAS)方法,以解析证候个体化差异的分子遗传基础。除了进行人群的证候GWAS研究,还可利用遗传参照种群小鼠资源进行证候的分子及系统网络GWAS研究。故展望了在中医基础研究中利用模式动物建构合适的中医病-证模型进行GWAS研究的广阔前景,该方法的推广应用将在新的方向上推动中医基础研究的发展。 | 陈刚 周欣 薛文达 吴颢昕 | 2017 | 中国中医基础医学杂志2017，23，1： | 6 |
| 4 | A medical understanding on the wuxing theory in cell显示文摘Yinyang theory and wuxing theory are the core parts in the Traditional Chinese Medicine(TCM) and giving the accurate interpretation on these theories is one of directions for the modernization of TCM.In the cell,energy metabolism and gene expression are the fundamental processes which are regarded as yin and yang respectively.Furthermore,energy agents,oxygen,end metabolic products,energy releasing as well as genes are the five basic factors for maintaining the undergoing of all biochemistries in cell.Because these factors are the substrates of five essential pathways for the survival of living cell and the abnormalities of any pathways will cause the death of cells,wuxing theory should be translated as five essential pathways in cell.These medical understandings on wuxing theory will not only give some novel viewpoints on the living cell but also promote the development of system biology in future. | 肖党生 方辉 孙文佳 潘慧云 郦圣捷 | 2016 | World Journal of Integrated Traditional and Western Medicine2016，2，3： | 5 |
| 5 | 基于电子病历数据的临床表型提取及其应用进展显示文摘在介绍临床表型提取技术的基础上,利用临床决策支持技术、自然语言处理技术和机器学习方法,就从糖尿病相关电子病历中提取临床表型等方面进行系统综述,表明深度学习方法可以更高效准确地从电子病历数据中提取出临床表型,帮助临床研究人员更好地进行临床试验,提高医疗护理水平。 | 韦玉芳 施维 尚于娟 施李丽 董建成 吴辉群 蒋葵 | 2017 | 医学信息学杂志2017，38，8： | 3 |
| 6 | 基于真实世界数据的缺血性中风病分类探索与网络生物学机制研究显示文摘目的 基于真实世界数据挖掘缺血性中风病(ischemic stroke, IS)一般特征,探索关联核心症状群、中药与通路分析,并借助网络生物学方法验证分子机制。方法 收集并提取2016年1月至2018年12月在山东省潍坊市中医院住院的IS患者病历资料,应用临床表型网络构建症状群模块;结合中医传统理论,确定优选模块及其核心症状群与中药;应用DAVID数据库进行KEGG富集分析,并以Jaccard系数计算相似性,获得临床优选模块症状-中药共同通路,以备网络生物学验证。采用HERB、Sym Map、TCMID、TCMSP和TCM-ID等数据库获取优选模块核心中药靶点,从GeneCards、OMIM、TTD、Dsi Ge NET、SymMap、Drug Bank和HERB等数据库中筛选症状群靶点。经Cytoscape中BisoGenet插件构建优选模块核心中药与症状群的PPI网络并筛选核心基因,应用MCODE富集分析潜在模块。采用Metascape对核心基因进行GO和KEGG富集分析,构建特异性通路网络以筛选关键靶点,并验证共同通路。结果 真实世界数据获得包含362种症状和351种中药的7170例病历,症状群模块34个,确定优选模块M3,症状5个(头晕、头痛、视物旋转、头胀、耳鸣)与中药10味(天麻、石决明、钩藤、首乌藤、炒栀子、黄芩、槲寄生、杜仲、益母草和茯神),KEGG通路94条。网络生物学共获取中药靶点361个,症状群靶点40个,症状-中药核心靶点238个,GO功能2402个和KEGG通路182条。验证共同通路82条,涉及丝裂原活化蛋白激酶3(mitogen-activated protein kinase 3, MAPK3)、MAPK1、RAF原癌基因丝氨酸/苏氨酸-蛋白激酶(RAF proto-oncogene serine/threonine-protein kinase, RAF1)、RAC-α-丝氨酸/苏氨酸蛋白激酶(RAC-alpha serine/threonine-protein kinase, AKT1)、磷酸肌醇3激酶调控亚基1(phosphoinositide-3-kinase, regulatory subunit 1,PIK3R1)等核心靶点,通路富集PI3K/蛋白激酶B(protein kinase B,AKT)、MAPK、Neurotrophin与神经突触传导通路等。结论真实世界数据发现肝阳上亢证是IS的核心病机,临床用药以天麻钩藤饮加减为主;网络生物学推测该中药组合在分子水平上通过多靶点与多通路的交互而发挥作用,为后续临床转化与基础实验指明了研究方向。 | 韩树 张靖 刘晓庆 何玉瑶 赵赫 许博文 董云芳 侯晓莹 马静 杨杰 钟利群 | 2023 | 中国中医基础医学杂志2023，29，7： | 1 |
| 7 | 中医药表型组学相关术语释义与应用显示文摘中医药表型组学是研究传统中医药学的新兴学科。“表型”“表型组”和“表型组学”等作为舶来术语名词,与传统中医药学原创术语的结合衍生出中医表型、证候表型、证候表型组、证候表型组学、复方药物表型组学、方剂组学等新术语。近年来,学者们在中医药表型组学研究中对相关术语进行了概念诠释,同时也产生了一些概念错位、术语误用、观点各异等问题,故为了构建中医药表型组学研究体系,有必要对中医药表型组学相关术语释义与应用进行正本清源与深度剖析,以期在学科发展之初即建立统一的概念及术语,为中医药表型组学的学科发展奠定坚实基础。 | 王小强 杜鑫 曹谦 田园 姜小燕 高晨皓 刘子渝 陶星星 许婷 雷明 叶玲玉 郭东更 程海波 段大跃 | 2023 | 南京中医药大学学报2023，39，3： | 1 |
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