1.Studies on Medication Laws towards Rheumatoid Arthritis Based on Analysis and Comparison of Medicine Literatures
Chongxiang XUE ; Hang YU ; Mingzhe HU ; Shenggang ZHANG ; Shiyao SU ; Lin ZHANG
World Science and Technology-Modernization of Traditional Chinese Medicine 2018;20(4):608-613
This paper was aimed to study medication laws of traditional Chinese medicine (TCM) towards rheumatoid arthritis (RA) based on modern medicine literatures. The China National Knowledge Infrastructure (CNKI), Wanfang Data knowledge service platform and VIP Database for Chinese Technical Periodicals were searched from January 2000 to December 2016 for relevant literatures on TCM for treatment of RA. The results showed that the database was established and the data were analyzed with statistics method including frequency analysis and cluster analysis. Finally, a total of 292 articles, 214 kinds of herbs were included, with a total frequency of 5071 for herbs. The results of frequency analysis, showed that tonic drugs, medicine for eliminating wind and dampness, drug for invigorating blood circulation and eliminating stasis were the main medications, followed by heat-cleaning drug, relieving external syndrome drug, and dampness-draining drug. The most common tastes of high frequency were sweet, pungent and bitter. The most common natures were warm and mild. The related meridians included the liver meridian, spleen meridian and kidney meridian. It was concluded that the cluster analysis showed medicines in the core group were as following: Astragalus, Licorice, Chinese angelica, Monkshood, Cassia twig, Coix seed, Radix saposhnikoviae, Radix gentianae macrophyllae, Notopterygium, Caulis spatholobi, Rhizoma ligustici wallichii, Twotooth achyranthes root, and Radix clematidis. The common combinations of RA drugs were summarized by association analysis. The medication law of RA treatment is to enrich consumptive disease and support healthy energy, to tonify the liver and kidney, to dispel wind and eliminate dampness, to remove blood stasis and dredge collaterals.
2.Metagenomic Analysis Reveals A Possible Association Between Respiratory Infection and Periodontitis
Liu ZHENWEI ; Zhang TAO ; Wu KEKE ; Li ZHONGSHAN ; Chen XIAOMIN ; Jiang SHAN ; Du LIFENG ; Lu SAISAI ; Lin CHONGXIANG ; Wu JINYU ; Wang XIAOBING
Genomics, Proteomics & Bioinformatics 2022;20(2):260-273
Periodontitis is an inflammatory disease that is characterized by progressive destruction of the periodontium and causes tooth loss in adults.Periodontitis is known to be associated with dysbiosis of the oral microflora,which is often linked to various diseases.However,the complexity of plaque microbial communities of periodontitis,antibiotic resistance,and enhanced virulence make this disease difficult to treat.In this study,using metagenomic shotgun sequencing,we inves-tigated the etiology,antibiotic resistance genes(ARGs),and virulence genes(VirGs)of periodontitis.We revealed a significant shift in the composition of oral microbiota as well as several functional pathways that were represented significantly more abundantly in periodontitis patients than in con-trols.In addition,we observed several positively selected ARGs and VirGs with the Ka/Ks ratio>1 by analyzing our data and a previous periodontitis dataset,indicating that ARGs and VirGs in oral microbiota may be subjected to positive selection.Moreover,5 of 12 positively selected ARGs and VirGs in periodontitis patients were found in the genomes of respiratory tract pathogens.Of note,91.8%of the background VirGs with at least one non-synonymous single-nucleotide polymorphism for natural selection were also from respiratory tract pathogens.These observations suggest a potential association between periodontitis and respiratory infection at the gene level.Our study enriches the knowledge of pathogens and functional pathways as well as the positive selection of antibiotic resistance and pathogen virulence in periodontitis patients,and provides evidence at the gene level for an association between periodontitis and respiratory infection.