xiao Yu

xiao Yu


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
16 September 2022 in Medicine
Verified
Journal Article
Open access
ZLZhiheng Lin
Zhiheng Lin
WFWeisen Fan
Weisen Fan
XYxiao Yu
xiao Yu
PLpengfei Liu
pengfei Liu
PLPengfei Liu
Pengfei Liu
Background: By using network pharmacology and molecular docking technology, we have explored the mechanism of action of Sanqi in the treatment of endometriosis (EMS), in order to provide reference for clinical studies of Chinese medicine treatment of Ems and Chinese medicine pharmacology. Methods: There are 123 intersecting targets between the active ingredients of Sanqi and disease targets. In the Protein-Protein Interaction network, Jun proto-oncogene, AP-1 transcription factor subunit, tumor necrosis factor, interleukin 6, etc., are the core proteins. The top 20 genes ranked by degree have been analyzed according to the Kyoto Encyclopedia of Genes and Genomes pathway and Gene Ontology analysis, and 20 pathways have been identified. Results: On the Kyoto Encyclopedia of Genes and Genomes pathway, the most important part is the phosphatidylinositol 3’-kinase-Akt signaling pathway, and on the Gene Ontology pathway, it is the Heme binding. The top 3 targets docked to quercetin have a certain affinity when it is docked to their degree value. Among the chemical components of Sanqi, quercetin has the most targets, suggesting that it may play a major role in the treatment of EMS. Conclusion: The results of molecular docking provide further evidence of the potential role of Sanqi for EMS. Overall, our study provides a new direction for the treatment of EMS and provides the basis for Sanqi as a drug for the treatment of EMS.

12 October 2022 in Frontiers in Medicine
Verified
Journal Article
Open access
THTianJiao Huang
TianJiao Huang
RCRenShuang Cao
RenShuang Cao
PLPengFei Liu
PengFei Liu
JLJinXing Liu
JinXing Liu
XYxiao Yu
xiao Yu
Purpose: As depression in patients with pelvic inflammatory diseases (PID) has received increasing attention in recent years, this study aims to investigate the relationship between depression severity and risk factors for pelvic inflammatory disease, and to provide new perspectives in the treatment of PID.Patients and methods: Multivariate regression was used to evaluate the association between pelvic inflammatory disease and the severity of depression. Females who participated in the United States National Health and Nutrition Examination Survey (NHANES) from 2013 to 2018 were included. In addition, risk factors for PID and depression were also included in the analysis as adjustment factors.Results: The risk of developing PID was associated with depressive status (odds ratio, OR 1.10, 95% confidence interval, CI 1.08–1.12), especially in people with severe depression (odds ratio, OR 6.34, 95% confidence interval, CI 3.72–10.79). Subgroup analysis showed differences in the risk of PID among people with different characteristics.Conclusion: This study showed that there may be a potential positive association between depressive status and the prevalence of PID in the United States adult female population. Depression should be actively looked for in all patients with PID and treated appropriately

9 September 2022 in Medicine
Verified
Journal Article
Open access
CDChunxiao Dang
Chunxiao Dang
DWDing Mm Wang
Ding Mm Wang
PLPeng-Fei Mm Liu
Peng-Fei Mm Liu
JLJin-Xing Liu
Jin-Xing Liu
XYxiao Yu
xiao Yu
Background: The incidence of threatened abortion (TA) is increasing due to poor diet and living habits, which brings great pressure to pregnant women and their families. Huangqin-Baizhu herb pair recorded in ancient books of traditional Chinese medicine has been widely used in the treatment of TA with remarkable effect. In this study, we will use the network pharmacology method to predict the target and mechanism of Huangqin-Baizhu herb pair. Methods: Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform database was used to screen the active components of Huangqin-Baizhu herb pair. Pubchem and Swiss Target Prediction databases were used to predict the action targets. Genecards, OMIM, and Drugbank databases were used to predict the related targets of TA. The intersection of drug target and disease target was selected and the intersection genes were uploaded to STRING database to construct protein–protein interaction network and conduct module analysis. Metascape database was used for Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, which was imported into Cytoscape software to construct component-pathway-gene network and finally verified by molecular docking. Ethical approval and informed consent of patients are not required because the data used in this study is publicly available and does not involve individual patient data or privacy. Results: The main active components of the herb pair are baicalein, flavanone, and norwogonin, etc. The main targets are AKT1, VEGFA, STAT3, MAPK1, SRC, etc. Cluster module analysis shows that the targets are related to cell metabolism, immune regulation and hormone level regulation. There were 2073, 3169, and 161 KEGG pathways involved in the biological processes, cell components, and molecular functions of Gene Ontology analysis, respectively. The main KEGG pathways involved in the intervention were HIF1 signaling pathway, PI3K-Akt signaling pathway, and Rap1 signaling pathway. Molecular docking showed that the main active components of the herb pair were well combined with the key targets. Conclusions: In this study, 42 active components, 152 potential targets and 11 key targets of Huangqin-Baizhu herb pair for the treatment of TA were revealed, participating in multiple signaling pathways such as PI3K-Akt, providing a theoretical basis for further experimental research.