ABSTRACT
This study aims to analyze the research on the prevention and treatment of cerebral small vessel diseases(CSVDs) with traditional Chinese medicine(TCM) based on knowledge map, and to preliminarily explore the research hotspots and trends. To be specific, articles on TCM treatment of CSVDs in CNKI, Wanfang, and VIP(from establishment to November 2021) were retrieved, followed by bibliometric analysis. Then CiteSpace 5.7 R4 and Gephi were employed for generation of maps on annual number of articles, author cooperation, institution cooperation, keyword co-occurrence, keyword clustering, and keyword emergence. A total of 106 eligible articles were screened out, and the annual number of articles presented a steady upward trend. A total of 277 authors were included in the author cooperation network, among whom CHEN Zhigang published the most articles. A total of 87 institutions were included in the institution cooperation network, among which Dongfang Hospital of Beijing University of Chinese Medicine showed the most frequent cooperation with other institutions. Keyword clustering showed that research on the TCM treatment of CSVDs mainly focused on five aspects: related disease research, neurological function deficits, disease nature and location in TCM, TCM treatment methods, and formulas. The prevention and treatment of CSVDs with TCM in China has been developing steadily in the past ten years, and TCM has unique advantages in the prevention and treatment of this disease. The knowledge maps vividly demonstrated the development and research hotspots and trends in this field. The result is expected to provide a reference for further research in this field.
Subject(s)
Cerebral Small Vessel Diseases , Medicine, Chinese Traditional , Bibliometrics , Cerebral Small Vessel Diseases/prevention & control , China , Humans , PublicationsABSTRACT
PREMISE OF THE STUDY: Here we report the complete chloroplast genome of the important medicinal species Huperzia serrata (Lycopodiaceae) and compare it to the chloroplast genome of the congeneric species H. lucidula. METHODS AND RESULTS: The whole chloroplast genome of H. serrata was sequenced using an Illumina platform and assembled with Geneious version R9.0.5. The genome size of H. serrata was 154,176 bp, with 36.3% GC content. The complete chloroplast genome contained 120 unique genes, including 86 coding genes, four rRNA genes, and 30 tRNA genes. Comparison with the chloroplast genome of H. lucidula revealed three highly variable regions (rps16-chlB, ycf12-trnR, and ycf1) between these two species and 252 mutation events including 27 insertion/deletion polymorphisms and 225 single-nucleotide polymorphisms (SNPs). Ninety-two SNPs were identified in the gene-coding regions. In addition, 18 microsatellite sites were found, which can potentially be used in phylogeographic studies. CONCLUSIONS: The complete chloroplast genome of H. serrata is reported here, and will be a valuable genome resource for further phylogenetic, evolutionary, and medical studies of medicinal plants in the genus Huperzia.
ABSTRACT
OBJECTIVE: To find out the influence of differences pruning on Lonicerea Japonicae Flos on it's yield and quality, and provide reference for reasonable pruning. METHOD: Using different pruning treatments, the growth and yield and chlorogenic acid and galuteolin contents of Lonicerea Japonicae Flos were measured and compared. And the source and sink theory were used to interpret the rationality of the best way. RESULT: There existed significant differences in the growth and branching and yield at differences pruning methods, but not including chlorogenic acid and galuteolin contents of Lonicerea Japonicae Flos. CONCLUSION: The best pruning treatments is in shearing.