1.Need-based design of medical mobile learning platform
Juanping WU ; Wenjie LI ; Xiaoyu WANG ; Wen ZHANG ; Jia XUE ; Peifeng HE ; Jianguang WU
Chinese Journal of Medical Library and Information Science 2014;(2):68-71
The medical mobile learning platform was constructed according to the information need of teachers and students in Shanxi Medical University, Changzhi Medical College, and Fenyang Medical College.The teaching and learning resources in Shanxi Medical University were integrated into the platform which could thus provide a variety of interactive learning ways for its users and users could rapidly find out their interested information resources. However, the platform construction needs the implementation of incentive measures, and regulations and rules for the protection of intellectual property rights.
2.Role of group 2 innate lymphoid cells in viral infectious diseases
Huimin DING ; Zhenyu LU ; Yuan LI ; Ying WANG ; Peifeng JIA ; Xiaoyu GAO ; Chunmei YUN
Chinese Journal of Experimental and Clinical Virology 2022;36(4):481-487
Group 2 innate lymphoid cells (ILC2s) are novel innate immune cells. Similar to T cells, ILC2s can secrete Th2 cytokines and initiate and maintain type 2 immune responses, which are also named as cross-border immune cells between innate immunity and adaptive immunity. In recent years, infectious diseases caused by pathogenic viruses have become a global healthcare challenge with the outbreaks of Middle East respiratory syndrome (MERS), severe acute respiratory syndrome (SARS) and novel coronavirus disease 2019 (COVID-19). As a member of the innate lymphocyte family, ILC2s are involved in the development of group 2 inflammatory diseases and can activate immune activity, playing an essential role in the repair of tissue damage and in the body’s defense, which also can participate in the immune response and play an important role in viral immunity when a virus attacks on the body. This study reviews the defensive role of ILC2s in viral infections, providing a theoretical basis for elaborating the role of ILC2s in viral infectious diseases.
3.Efficacy and Safety of Colesevelam Hydrochloride Combined with Other Hypoglycemic Drugs in the Treatment of T 2DM: A Meta-analysis
Qi YU ; Chenchen JIA ; Pengli JIA ; Peifeng HE
China Pharmacy 2019;30(21):2998-3003
OBJECTIVE: To systematically review the efficacy and safety of colesevelam hydrochloride combined with other hypoglycemic drugs in the treatment of T2DM, and to provide evidence-based reference for clinical treatment of T2DM. METHODS: Retrieved from PubMed, Embase, Medline, Cochrane Library, CJFD, VIP and Wanfang database during database establishement-Jul. 2019, randomized controlled trials (RCT) about the efficacy and safety of colesevelam hydrochloride combined with other hypoglycemic drugs (trial group) vs. placebo or other hypoglycemic drugs (control group) in the treatment of T2DM were collected. After extracting data from clinical studies that met the inclusion criteria, the quality of the studies was evaluated by Cochrane System Evaluator Manual 5.1.0. Meta-analysis was conducted by using Rev Man 5.3 statistical software in respects of the levels HbA1c, FPG, LDL-C, the incidence of total ADR, incidence of hypoglycemia and incidence of gastrointestinal ADR. RESULTS: A total of 11 RCTs were included, involving 2 625 patients. Results of Meta-analysis showed that HbA1c levels [MD=-0.37, 95%CI(-0.51, -0.22),P<0.001], FPG level [MD=-0.47, 95%CI(-0.88, -0.07), P=0.02] and LDL-C level [MD=-0.38, 95%CI(-0.49, -0.28), P<0.001] in trial group were significantly lower than control group, with statistical significance. In terms of safety, the incidence of total ADR [OR=1.24, 95%CI(1.06, 1.45), P=0.007] and gastrointestinal ADR [OR=1.78,95%CI(1.05, 3.02),P=0.03] in trial group were significantly higher than control group, with statistical significance. There was no significant difference in the incidence of hypoglycemia [OR=1.03, 95%CI(0.62,1.72),P=0.90]. CONCLUSIONS: Colesevelam hydrochloride combined with other hypoglycemic drugs can effectively reduce the levels of HbA1c, FPG and LDL-C in T2DM patients, but attention should be paid to the occurrence of gastrointestinal ADR.
4.Identification and drug sensitivity analysis of key molecular markers in mesenchymal cell-derived osteosarcoma
Haojun ZHANG ; Hongyi LI ; Hui ZHANG ; Haoran CHEN ; Lizhong ZHANG ; Jie GENG ; Chuandong HOU ; Qi YU ; Peifeng HE ; Jinpeng JIA ; Xuechun LU
Chinese Journal of Tissue Engineering Research 2025;29(7):1448-1456
BACKGROUND:Osteosarcoma has a complex pathogenesis and a poor prognosis.While advancements in medical technology have led to some improvements in the 5-year survival rate,substantial progress in its treatment has not yet been achieved. OBJECTIVE:To screen key molecular markers in osteosarcoma,analyze their relationship with osteosarcoma treatment drugs,and explore the potential disease mechanisms of osteosarcoma at the molecular level. METHODS:GSE99671 and GSE284259(miRNA)datasets were obtained from the Gene Expression Omnibus database.Differential gene expression analysis and Weighted Gene Co-expression Network Analysis(WGCNA)on GSE99671 were performed.Functional enrichment analysis was conducted using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes separately for the differentially expressed genes and the module genes with the highest positive correlation to the disease.The intersection of these module genes and differentially expressed genes was taken as key genes.A Protein-Protein Interaction network was constructed,and correlation analysis on the key genes was performed using CytoScape software,and hub genes were identified.Hub genes were externally validated using the GSE28425 dataset and text validation was conducted.The drug sensitivity of hub genes was analyzed using the CellMiner database,with a threshold of absolute value of correlation coefficient|R|>0.3 and P<0.05. RESULTS AND CONCLUSION:(1)Differential gene expression analysis identified 529 differentially expressed genes,comprising 177 upregulated and 352 downregulated genes.WGCNA analysis yielded a total of 592 genes with the highest correlation to osteosarcoma.(2)Gene Ontology enrichment results indicated that the development of osteosarcoma may be associated with extracellular matrix,bone cell differentiation and development,human immune regulation,and collagen synthesis and degradation.Kyoto Encyclopedia of Genes and Genomes enrichment results showed the involvement of pathways such as PI3K-Akt signaling pathway,focal adhesion signaling pathway,and immune response in the onset of osteosarcoma.(3)The intersection analysis revealed a total of 59 key genes.Through Protein-Protein Interaction network analysis,8 hub genes were selected,which were LUM,PLOD1,PLOD2,MMP14,COL11A1,THBS2,LEPRE1,and TGFB1,all of which were upregulated.(4)External validation revealed significantly downregulated miRNAs that regulate the hub genes,with hsa-miR-144-3p and hsa-miR-150-5p showing the most significant downregulation.Text validation results demonstrated that the expression of hub genes was consistent with previous research.(5)Drug sensitivity analysis indicated a negative correlation between the activity of methotrexate,6-mercaptopurine,and pazopanib with the mRNA expression of PLOD1,PLOD2,and MMP14.Moreover,zoledronic acid and lapatinib showed a positive correlation with the mRNA expression of PLOD1,LUM,MMP14,PLOD2,and TGFB1.This suggests that zoledronic acid and lapatinib may be potential therapeutic drugs for osteosarcoma,but further validation is required through additional basic experiments and clinical studies.
5. Kaempferol in reversing drug resistance of chronic myelogenous leukemia K562/ADM cells and its related mechanism
Yingxue LIU ; Xiuhong JIA ; Lin LI ; Huiying YIN ; Cong ZHU ; Peifeng DUAN
Journal of Leukemia & Lymphoma 2020;29(1):23-29
Objective:
To investigate the drug resistance of kaempferol reversed adriamycin (ADM)-resistant K562/ADM cells in chronic myelogenous leukemia (CML) and its related mechanism.
Methods:
Methyl thiazolyl tetrazolium (MTT) method was used to detect the toxicity of ADM on K562 and K562/ADM cells for 24 h. The half inhibitory concentration (