Metabolomics applied in Chinese medicine syndromes: a bibliometric analysis

doi:10.3969/j.issn.2095-4344.0195

Abstract

Abstract:

BACKGROUND: Metabolomics is a branch of systems biology taking systematic study, high-throughput detection and data processing as means, information modeling and systematic integration as targets, which can be used for recognizing metabolic indexes, provide evidence for individualized diagnosis and treatment and guide syndrome differentiation in the clinic.
OBJECTIVE: To analyze the literature features and research status of metabolomics applied in the field of Chinese medicine syndromes so as to provide reference for its application in Chinese medicine syndromes.
METHODS: Databases of CNKI, WanFang, CBM, PubMed, Web of Science and Medline were retrieved for the articles addressing metabolomics applied in Chinese medicine syndromes published before June 2017. The literature database was established, and then the literature and research features were analyzed using bibliometrics and data mining.
RESULTS AND CONCLUSION: Totally 499 articles were enrolled, including 371 journal articles from journals (74.35%), 30 conference papers (6.01), 98 dissertations (19.64), and the 371 journal papers were published in 124 journals (32 of Chinese core journals (45.28%), and 10 SCI cited journals (3.77%)). In the articles, 7 types of disease systems (mainly in digestive system and circulatory system) were classified according to the statistics, involving 23 diseases and 39 interventions. In summary, there is still a lack of standardized classification for metabolomics applied in Chinese medicine syndromes and the quality of literature is poor. We should conduct more animal experiments and explore the essence and intervention measurements of syndromes, thereby controlling the disease occurrence and development.

中国组织工程研究杂志出版内容重点：组织构建；骨细胞；软骨细胞；细胞培养；成纤维细胞；血管内皮细胞；骨质疏松；组织工程

Key words: Metabolism, Proteomics, Medicine, Chinese Traditional, Bibliometrics, Tissue Engineering

CLC Number:

R318

He Jing1, Sun Zhi-ling1, Xie Tong2, Jiao Wen-juan1, Zhang Yong-yi1. Metabolomics applied in Chinese medicine syndromes: a bibliometric analysis[J]. Chinese Journal of Tissue Engineering Research, doi: 10.3969/j.issn.2095-4344.0195.

Figures/Tables 3

2.2.3 期刊分布 371篇关于代谢组学在中医证型研究领域应用的期刊文献共分布在124种期刊上，其中，发表相关文献1篇的期刊有70种，发表2篇的16种，发表3篇的8种，发表4篇的11种，发表5篇的4种，发表6篇及以上的仅14种。按2016版《北京大学核心期刊目录》筛查，中文核心期刊32种，载文量共168篇，占总文献量的45.28%；SCI期刊10种，载文量共14篇，占总文献量的3.77%(表1为中文核心期刊载文量6篇及以上和SCI期刊分布情况)。由此可见，目前相关文献期刊分布较为分散，集中度不高，而发表在核心期刊和SCI的文献较少，说明发表在高质量水平杂志的文献量有待提高。 2.2.4 第一作者单位第一作者共分布于145个单位，主要分布在高校(321，64.33%)和医院(125，25.05%)，高校中，发文量居首位的是南京中药大学，其次是山东中医药大学；医院中，发文量居首位的是上海中医药大学附属曙光医院，其次是天津中医药大学第二附属医院；发文量前10的单位中，高校占94.44%，医院占5.56%，说明高校在该领域是研究成果的主力军，详见表2，3。 2.2.5 基金资助统计显示，371篇期刊文献中有312篇(84.10%)基金论文，按基金的级别，将其分为国家级、省级、市级，国家级基金资助217篇(69.55%)，其中国家自然科学基金资助163篇(52.24%)，可见国家级基金资助远远领先于其他级别基金资助的文献发表量；省级基金资助50篇(16.03%)，市级基金资助26篇(8.33%)，其中省市级基金资助主要分布在21个地区，排名进入前五的是江苏省(12篇)，上海市(12篇)，广东省(9篇)，北京市(8篇)，浙江省(8篇)，以上数据反映了国家对代谢组学在中医证型研究领域应用的高度支持，预示这个领域将来的一段时间将是国家的重点资助方向。 2.3 纳入文献内容特征 2.3.1 文献研究类型 499篇纳入文献分为6类：综述、专家论坛、描述性研究：病例对照；实验性研究：多以动物实验为主，以探讨其机制；类实验性研究，主要对疾病的不同证型给予干预措施，以观察其代谢产物的差异性。具体见表4。 2.3.2 研究对象纳入的文献中，研究对象主要分为临床患者(204，64.35%)和实验动物(113，35.65%)，其中使用最多的实验动物是大鼠(95篇)，占29.97%，详见表5。 2.3.3 实验内容分析将本次纳入文献中采用干预措施且具体描述辨证分型的进行分析，有且仅有58篇(11.62%)，统计分类得到7类病症系统，涉及23种疾病，39种干预措施，其中免疫系统疾病8篇，消化系统15篇，循环系统12篇，呼吸系统11篇，内分泌系统7篇，神经系统1篇，泌尿系统1篇，其它类3篇，包括原发性痛经(2篇)和恶性肿瘤(1篇)，具体内容见表6。 2.4 代谢组学分析 2.4.1 样本完整的代谢组学分析流程包括样本的制备、样本分析和数据的解析，而样本的制备则又包含了样本的采集和预处理，样本主要包含体液、粪便和组织。统计显示，在中医证型研究领域最常用的样本是血液和尿液，除此之外还有组织、关节液、唾液、粪便。纳入文献中，血液123篇(63.73%)，其中血清59篇(30.57%)，血浆64篇(32.43%)；尿液63篇(32.64%)；组织8篇(4.15%)，其中滑膜组织2篇(1.04%)，胸腺组织2篇(1.04%)，肺组织2篇(1.04%)，心肌组织1篇(0.52%)，脾脏组织1篇(0.52%)；关节液1篇(0.52%)；唾液2篇(1.04%)；粪便1篇(0.52%)。血清样本最多使用于高血压10篇(16.95%)，其中肝火亢盛证4篇，痰湿雍盛证3篇，阴虚阳亢证3篇，痰热证1篇；血浆样本最常见于冠心病15篇(23.44%)，其中气虚血瘀证3篇，气虚证2篇，"

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