Objective: To explore the clinical application value of closed negative pressure drainage technique in the treatment of external foot injury. Methods: Sixty-eight patients with hand and foot trauma admitted to the Enze Hospital of Taizhou Enze Medical Center (Group) from November 2017 to November 2018 were randomly divided into the control group and the observation group according to the digital table, with 34 cases in each group.The control group underwent routine skin grafting.The observation group underwent closed vacuum drainage.The therapeutic effects, wound healing rate and clinical observation indicators were compared between the two groups. Results: The total effective rate (88.24%) and the overall wound healing rate (100.00%) in the observation group were significantly higher than those in the control group (64.71%, 79.41%) (χ²=5.231, 7.803, P=0.022, 0.005). The operation time[(5.92±1.02)h], wound healing time[(16.65±8.01)d] and hospitalization time[(31.42±13.05)d] in the observation group were significantly shorter than those in the control group[(8.33±1.65)h, (23.51±12.12)d, (46.35±18.89)d](t=7.244, 2.753, 3.792, P=0.001, 0.008, 0.001). Conclusion Application of closed negative pressure drainage technique in hand and foot trauma surgery can effectively improve clinical efficacy, accelerate the healing speed of wounds, and reduce the operation time and hospitalization time of patients.It is worthy of promotion.

Sanqi is a popular traditional Chinese medicine and commonly used for promoting blood circulation and removing blood stasis. Notoginsenoside R1, ginsenoside Rg1, Re, Rb1 and Rd are the major active constituents of Sanqi. The purpose of the study was to investigate the pharmacokinetic behavior of the five active constituents from total saponin from Sanqi when it was used in the blood stasis animals or in combination with Gegen. The concentrations of the five active constituents in rat plasma were determined by an ultra-HPLC-ESI-MS/MS method. The main pharmacokinetic parameters were calculated and statistically analyzed using the unpaired student's t-test. It was found that the pharmacokinetic parameters of notoginsenoside R1, ginsenoside Rg1 and Rb1 represented a statistically significant difference (Po0.05) between the normal rats and the blood stasis rats after administration of total saponin from Sanqi (TSFS). And there were statistically significant differences (Po0.05) in the pharmacokinetic parameters of all the five constituents between administration of TSFS alone and combined with total flavonoid from Gegen (TFFG) in blood stasis rats. It suggested that the pharmacokinetic behavior of the active constituents from TSFS could be changed when it was used in blood stasis animals or in combination with TFFG.

BACKGROUND:Ferroptosis-related genes have been found to play an important role in the pathogenesis of rheumatoid arthritis.However,there is currently a lack of immune expression of ferroptosis-related signature genes in rheumatoid arthritis and the construction of competing endogenous RNA(CeRNA)interaction networks.Machine learning,as a powerful signature gene selection algorithm based on bioinformatics,can more accurately identify ferroptosis-related signature genes that dominate the pathogenesis of rheumatoid arthritis. OBJECTIVE:To screen ferroptosis-related signature genes in rheumatoid arthritis using bioinformatics and machine learning methods,and to analyze the correlation between ferroptosis-related signature genes and immune infiltration and the construction of CeRNA network of ferroptosis-related signature genes. METHODS:Rheumatoid arthritis-related microarrays were obtained from the GEO database,and ferroptosis-related genes and their differential gene expression were extracted using R language.The differentially expressed genes were screened using machine learning methods.The LASSO regression and SVM-RFE methods were used for signature gene screening,and the genes filtered by both were re-intersected to finally obtain the signature genes in rheumatoid arthritis.Receiver operating characteristic curves were used to assess the accuracy of the screened signature genes for disease diagnosis.Immune infiltration of rheumatoid arthritis and normal synovial tissues was analyzed using the CIBERSORT algorithm,and the correlation between the signature genes and immune cells was analyzed.Finally,the CeRNA network of ferroptosis-related signature genes for rheumatoid arthritis was constructed and the disease signature genes were validated. RESULTS AND CONCLUSION:A total of 150 ferroptosis-related genes in rheumatoid arthritis were obtained,including 55 up-regulated genes and 95 down-regulated genes.GO and KEGG enrichment analyses identified 18 GO significantly correlated entries and 30 KEGG entries respectively,mainly involving metal ion homeostasis,ferric ion homeostasis and oxidative stress response.Machine learning analysis finally identified disease signature genes GABARAPL1 and SAT1.GSEA analysis found that adipocytokine signaling pathway,drug metabolism cytochrome P450,fatty acid metabolism,PPAR signaling pathway,tyrosine metabolism were mainly concentrated when GABARAPL1 was highly expressed,and chemokine signaling pathway,intestinal immune network on IGA production were mainly concentrated when SAT1 was highly expressed.Immune infiltration analysis found that nine immune cells were significantly different in rheumatoid arthritis and normal synovial tissues,in which plasma cells,T-cell CD8,and T-cell follicular helper were highly expressed and the rest were lowly expressed in the disease group.Single gene and immune cell correlation analysis found that GABARAPL1 was positively correlated with dendritic resting cells,activated NK cells,and macrophage M1,with the most significant correlation with dendritic resting cells,while SAT1 was positively correlated with T cell CD4 and γδ T cells and negatively correlated with NK resting cells.GSVA analysis found that SAT1 was upregulated in ascorbic acid and aldehyde metabolism,while downregulated in B-cell receptor signaling pathway,Toll-like receptor signaling pathway,T-cell receptor signaling pathway,and natural killer cell-mediated cytotoxicity.GABARAPL1 showed a down-regulation trend in PPAR signaling pathway,metabolism of nicotinate and nicotinamide,tryptophan metabolism,fatty acid metabolism,and steroid biosynthesis.Sixty long non-code RNAs may play a key role in the development of rheumatoid arthritis.To conclude,the occurrence of rheumatoid arthritis is significantly correlated with the abnormal expression of rheumatoid arthritis-induced ferroptosis-related signature genes,and the signature genes induce disease development via relevant signaling pathways.By analyzing rheumatoid arthritis-related long non-code RNAs-mediated ceRNA networks,potential therapeutic targets and signaling pathways can be identified to further elucidate its pathogenesis and provide a reference basis for subsequent experimental studies.

PURPOSE: Although the effect of lysosome-associated protein transmembrane 4 beta (LAPTM4B) on the proliferation, migration, and invasion of breast cancer (BC) cells has already been studied, its specific role in BC progression is still elusive. Here, we evaluated the effect of different levels of LAPTM4B expression on the proliferation, invasion, adhesion, and tumor formation abilities of BC cells in vitro, as well as on breast tumor progression in vivo. METHODS: We investigated the influence of LAPTM4B expression on MCF-7 cell proliferation, invasion, adhesion, and tube formation abilities in vitro through its overexpression or knockdown and on breast tumor progression in vivo. RESULTS: Cell growth curves and colony formation assays showed that LAPTM4B promoted the proliferation of breast tumor cells. Cell cycle analysis results revealed that LAPTM4B promoted the entry of cells from the G1 into the S phase. Transwell invasion and cell extracellular matrix adhesion assays showed that LAPTM4B overexpression increased the invasion and adhesion capabilities of MCF-7 cells. More branches were observed in MCF-7 cells overexpressing LAPTM4B under an electron microscope. In comparison with LAPTM4B overexpression, LAPTM4B knockdown decreased the expression of vascular endothelial growth factor-A and significantly inhibited the vasculogenic tube formation ability of tumors. These results were also verified with western blot analysis. CONCLUSION: LAPTM4B promoted the proliferation of MCF-7 cells through the downregulation of p21 (WAF1/CIP1) and caspase-3, and induced cell invasion, adhesion, and angiogenesis through the upregulation of hypoxia-inducible factor 1 alpha, matrix metalloproteinase 2 (MMP2), and MMP9 expression. This specific role deems LAPTM4B as a potential therapeutic target for BC treatment.
Blotting, Western ; Breast Neoplasms ; Breast ; Caspase 3 ; Cell Cycle ; Disease Progression ; Down-Regulation ; Extracellular Matrix ; Hypoxia-Inducible Factor 1 ; In Vitro Techniques ; Matrix Metalloproteinase 2 ; MCF-7 Cells ; S Phase ; Up-Regulation ; Vascular Endothelial Growth Factor A

Objective: Comparing the benefit of Abidor, lopinavir/ritonavir and recombinant interferon α-2b triple combination antiviral therapy and lopinavir/ritonavir and interferon dual combination antiviral therapy to hospitalized novel coronavirus pneumonia 2019 in Zhejiang province. Methods: A multi-center prospective study was carried out to compare the effect of triple combination antiviral therapy with dual combination antiviral therapy in 15 medical institutions of Zhejiang Province. All patients were treated with recombinant interferon α-2b (5 million U, 2 times/d) aerosol inhalation. 196 patients were treated with abidol (200 mg, 3 times/d) + lopinavir / ritonavir (2 tablets, 1 time/12 h) as the triple combination antiviral treatment group. 41 patients were treated with lopinavir / ritonavir (2 tablets, 1 time/12 h) as the dual combination antiviral treatment group. The patients who received triple combination antiviral therapy were divided into three groups: within 48 hours, 3-5 days and > 5 days after the symptom onset. To explore the therapeutic effects of triple combination antiviral drugs and dual combination antiviral drugs, as well as triple combination antiviral drugs with different antiviral initiate time. SPSS17.0 software was used to analyze the data. Results: The time of virus nucleic acid turning negative was (12.2 ± 4.7) days in the triple combination antiviral drug group, which was shorter than that in the dual combination antiviral drug group [(15.0 ± 5.0) days] (t = 6.159, P < 0.01 ). The length of hospital stay [12 (9, 17) d] in the triple combination antiviral drug group was also shorter than that in the dual combination antiviral drug group [15 (10, 18) d] (H = 2.073, P < 0.05). Comparing the antiviral treatment which was started within 48 hours, 3-5 days and > 5 days after the symptom onset of triple combination antiviral drug group, the time from the symptom onset to the negative of viral shedding was 13 (10,16.8), 17 (13,22) and 21 (18-24) days respectively (Z = 32.983, P < 0.01), and the time from antiviral therapy to the negative of viral shedding was (11.8±3.9) , (13.5±5.1) and (11.2±4.3) d. The differences among the three groups were statistically significant (Z=32.983 and 6.722, P<0.01 or<0.05). Conclusions The triple combination antiviral therapy of Abidor, Lopinavir/Litonavir and recombinant interferon α-2b showed shorter viral shedding time and hospitalization time compared with the dual combination antiviral therapy. The earlier the time to initiate triple antiviral treatment, the shorter the time of virus shedding.