Objective:To investigate the association between the single nucleotide polymorphisms(SNPs) of transporter associated with interleukin2(IL-2),interleukin4(IL-4)and the susceptibility of hepatitis B in north China.Methods:Genomic DNA was extracted from the peripheral blood leukocytes of hepatitis B patients and healthy controls.Two fragments covering -330 of the IL-2 gene and -590 of the IL-4 gene were amplified by polymerase chain reaction (PCR).The SNPs were revealed by restriction fragment length polymorphism (RELP).Software PHASE 1.0was used to construct the haplotype of every individual.Unconditional Logitic regression model was used to analyze the statistical association of genotype or haplotype in two groups adjusted by gender and age.Results:There was significant difference in the SNPs of IL2 between the healthy controls and the heptitis B patients in north China.Significant difference was also found in the combination of --/GT to the two groups.Conclusion:SNPs of IL2(-330) may have relation to the susceptibility o heptitis B.--/GT was also related to the susceptibility of heptitis B.These findings suggest that SNPs of IL2 is one of the important host factors to the infection of the heptitis B.

Objective To establish a method for the isolation of Zika virus and to gather experi-ences for viral isolation. Methods Suckling mice at age 1-3 days were inoculated with serum samples posi-tive for Zika virus through intracranial injection. All mice were sacrificed 6 days after the injection. Viral nu-cleic acids were extracted from brain, heart, liver, spleen, lung, kidney, muscle, skin and intestine tissue samples and analyzed by real-time RT-PCR. The supernatants of brain tissues positive for Zika virus were used for subculturing. Nested PCR was performed to amplify the NS5 gene of the isolated virus. The se-quences of NS5 gene were analyzed by using MEGA6. 0 software. Results All of the tissue samples were positive for Zika virus. Higher viral loads were detected in heart and brain tissue samples with cycle thresh-old (Ct) values of 24. 4 and 25. 3, respectively. The second generation of Zika virus was identified in suck-ling mice brain tissues 2 days after infection by using real-time RT-PCR. The amplified product of nested PCR was 972 bp in length. Sequencing analysis showed that the isolated Zika virus ( GDZ16002 strain) be-longed to the Asian lineage. Conclusion A strain of Zika virus was successfully isolated in China by using intracranial injection via a suckling mouse model. The isolated Zika virus belonged to the Asian lineage.

Objective:To explore the effect of combined therapy of traditional Chinese medicine on prevention of chemotherapy-related anemia in malignant tumors.Methods:Seventy-nine patients with malignant tumors diagnosed in Zibo Hospital of Traditional Chinese Medicine from January 2019 to January 2021 were selected, and the patients were divided into experimental group (40 cases) and control group (39 cases) according to the random number table method. The control group received chemotherapy and the experimental group received chemotherapy and combined therapy of traditional Chinese medicine (Wuhong Tang combined with moxibustion). The hemoglobin (Hb) level, Karnofsky score and adverse effects were recorded before and on days 7, 14 and 21 after chemotherapy in the two groups.Results:The Hb level in the experimental group was higher than that in the control group [(117±28) g/L vs. (100±31) g/L] on day 21 after chemotherapy, and the difference was statistically significant ( t = -3.08, P = 0.030). The total effective rate of the experimental group was higher than that of the control group [85% (34/40) vs. 66.7% (26/39)], but the difference was not statistically significant ( χ2 = 4.96, P = 0.084). Karnofsky scores were (77±9) points and (77±12) points before and on day 21 after treatment in the experimental group, with no statistical difference ( t = -0.50, P = 0.623); Karnofsky scores were (78±10) points and (67±9) points in the control group, with statistical difference ( t = 8.32, P < 0.001). There was no statistical difference in Karnofsky score before treatment between the two groups ( t = 1.85, P = 0.068), but the experimental group was higher than the control group on day 21 after treatment ( t = 4.88, P < 0.001). The difference in the incidence of nausea and vomiting between the two groups was not statistically significant ( P > 0.05), and no chemotherapy-related hepatic, renal or cardiac adverse reactions were observed in either group. Conclusions:Combined therapy of traditional Chinese medicine could effectively prevent chemotherapy-related anemia and improve the quality of life of patients.

Objective Based on the gene expression omnibus(GEO)database,bioinformatics methods were employed to analyze the expression characteristics of hypoxia-related differentially expressed genes(HRDEGs)in ischemic stroke,and key genes were screened,to provide important support for a deeper understanding of ischemic stroke.Methods The GSE16561 and GSE58294 datasets were downloaded from the GEO database,and Python software was used for data integration.The Combat method was employed to eliminate batch effects while retaining disease grouping characteristics.Principal component analysis was conducted to reduce dimensionality of the data before and after batch effect removal,and intraclass correlation coefficient(ICC)testing was performed on the ischemic stroke and normal control groups.Gene set enrichment analysis(GSEA)and single-sample GSEA were conducted on the merged and batch effects eliminated dataset,with a nominal P-value(NOM P-val)＜0.05 and false discovery rate P-value(FDR P-val)＜0.25 used as criteria to select significantly different gene sets.Differential expression genes between the ischemic stroke samples and normal control samples after merging and eliminating batch effects of the GSE16561 and GSE58294 datasets were identified using R software,with an absolute value of log2 gene expression fold change(FC)≥0.58 and adjusted P-value(Padj)＜0.05 as selection criteria.Intersection with hypoxia-related genes obtained from the National Center for Biotechnology Information(NCBI)in the United States yielded the HRDEGs.Gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)enrichment analyses were performed on the HRDEGs,and the STRING database was used to construct a protein-protein interaction network of differentially expressed genes.The top 10 key genes were filtered using Cytoscape 3.8 software.Results The ICC analysis results showed excellent consistency in the ischemic stroke and normal control samples after batch effect removal,with ICC values of 0.94 and 0.98 for the GSE16561 and GSE58294datasets,respectively.GSEA results demonstrated significant enrichment of 34 gene sets in the stroke samples in the newly merged and batch effects removed dataset from GSE16561 and GSE58294,leading to the identification of 404 differentially expressed genes(all with Padj＜0.05),including 354 upregulated genes and 50 downregulated genes.Intersection with hypoxia-related genes yielded 64 HRDEGs.GO enrichment analysis indicated significant enrichment of HRDEGs in vesicle lumen,cytoplasmic vesicle lumen,secretory granule lumen,with molecular functions such as amide binding,peptide binding,phospholipid binding,and enzyme inhibitor activity.These genes are primarily involved in the positive regulation of cytokine production,regulation of immune response,response to bacterium-derived molecules,and response to lipopolysaccharide,among other biological processes.KEGG enrichment analysis revealed enrichment of HRDEGs in pathways related to lipid and atherosclerosis,Salmonella infection,neutrophil extracellular trap formation,nucleotide-binding oligomerization domain-like receptor signaling pathway,protein glycosylation in cancer,tuberculosis,and necroptosis.Based on the protein-protein interaction network,10 key genes were identified,including arginase1(ARG1),caspase1(CASP1),interleukin1 receptor type 1(IL-1R1),integrin subunit alpha M(ITGAM),matrix metalloproteinase9(MMP9),prostaglandin-endoperoxide synthase 2(PTGS2),signal transducer and activator of transcription 3(STAT3),Toll-like receptor2(TLR2),TLR4,and TLR8.Conclusion This study has identified 10 key genes associated with ischemic stroke and hypoxia through bioinformatics mining,which maybe provid potential targets for subsequent research and diagnostic and therapeutic interventions.