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Metabolomics applied in Chinese medicine syndromes: a bibliometric analysis / 中国组织工程研究
Article de Zh | WPRIM | ID: wpr-698748
Bibliothèque responsable: WPRO
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.
Texte intégral: 1 Indice: WPRIM langue: Zh Texte intégral: Chinese Journal of Tissue Engineering Research Année: 2018 Type: Article
Texte intégral: 1 Indice: WPRIM langue: Zh Texte intégral: Chinese Journal of Tissue Engineering Research Année: 2018 Type: Article