AIM:To investigate the effect of berberine on IL-1 or tumour necrosis factor (TNF) induced polymorphonuclear leucocyte(PMN)-endothelium adhesion and adhesion molecules.METHODS:Based on the model of human umbilical vein endothelial cell (HUVEC), this study adopted Rose Bengal Stain, cell ELISA, immunocyto-chemical techniques to investigate the effect of berberine on PMN-endothelium adhesion and the expression of cell adhesion molecules (CAMs).RESULTS:Berberine inhibited IL-1, TNF-induced HUVEC adhesion for PMN when pretreated HUVEC and antagonised IL-1, TNF-induced upregulation of ICAM-1 on HUVEC. Meanwhile, TNF-stimulated PMN adhesion for HUVEC and CD18 upexpression on PMN was diminished in the presence of berberine.CONCLUSION: Inhibite PMN-endothelium adhesion by downregulating the CAMs expression to inhibite PMN migration across endothelium is one of the mechanisms of antiinflammation of berberine.

Objective:To study the cytokine mechanism of Jiawei Xuanfei Toujie Ji(JXT)therapy to influenza infected mouse.Methods:Mice were inoculated intranasally with mouse lung-adapted influenza virus strain(FM1),and were treated with JXT. At 5th days after postinoculation were sacrificed, and IL-2,TNF-?,IL-6,IFN-? in their sera were measured with ELISA kits, their lungs sections were stained with hematoxylin and eosin.Results:Compared with model group ,the levels of IL-2 and IFN-? in JXT group were dramatically higher,and the levels of TNF-? and IL-6 were lower,and pathological effects of influenza pneumonia showed less lung injury.Conclusion:Regulative effects on cytokine may be one of the factors that JXT decrease the pathogenesis of influenza-induced acute lung injury.

OBJECTIVE: To observe the effects of ginsenoside (Gs) and berberine (Ber), two kinds of active components of traditional Chinese herbal medicine, on transforming growth factor-beta1 (TGF-beta1) and prostaglandin E2 (PGE2) in PG cells. METHODS: Co-culture system of human lung carcinoma cell line PG and human T lymphocyte cell line Jurkat was established. PG cells were treated with Gs (100 microg/ml) and Ber (10 mug/ml) for twenty-four hours, and then cocultured with Jurkat cells. After 24-hour coculture, the state of Jurkat cells was observed with inverted microscope. The viable count of Jurkat cells was detected by trypan blue staining after 6- and 24-hour coculture, and the apoptosis of Jurkat cells was evaluated by flow cytometry. PG cells were treated with 100, 50, 25 microg/ml Gs and 10, 5, 2.5 microg/ml Ber respectively, and the content of TGF-beta1 and PGE(2) in PG cells was detected by enzyme-linked immunosorbent assay (ELISA) and radioimmunoassay (RIA) method. RESULTS: After coculture with PG cells treated with Gs and Ber, the number of Jurkat cells was less than blank control group, and the apoptosis rates of Jurkat cells in Gs- and Ber-treated groups were higher than blank control group. Gs and Ber could promote the secretion of TGF-beta1 in PG cells, but could not change the level of PGE(2). CONCLUSION: Gs and Ber can promote the growth inhibition and apoptosis of Jurkat cells induced by PG cells, which may be related to the up-regulation of Gs and Ber on TGF-beta1 secretion in PG cells.

Objective To construct NT4-GFP-Ant fusional reporting gene and the vector of NT4-GFP-Ant recombinant adeno-associated virus(AAV).Methods The GFP gene was cloned by using PCR and T-vector cloning method.The positive clone was identified by the restriction enzymes,and then the cloned amplified fragments were sequenced and analyzed.The resulting gene of GFP and Ant,PBV220/NT4 were connected by DNA ligase,and thus PBV220/NT4-GFP-Ant was constructed,then the NT4-GFP-Ant fragment was gained and identified by the restriction enzymes.The resulting gene of NT4-GFP-Ant fragment was inserted into the EcoRⅠ-BamHⅠsite of vector plasmid pSSHG to construct the vector of NT4-GFP-Ant recombinant AAV.Results A 730 bp fragment of DNA was gained when T-easy/GFP was cut by the restriction enzyme EcoRⅠ.The cloned GFP gene was coincident with the sequence in GenBank.A 1 000 bp fragment of DNA was gained when pBV220/NT4-GFP-Ant was cut by the restriction enzymes BamHⅠ/EcoRⅠ.A 1 000 bp fragment of DNA was gained when PSSHG/NT4-GFP-Ant was cut by the restriction enzymes BamHⅠ/EcoRⅠ.Conclusion GFP gene is cloned successfully,NT4-GFP-Ant gene and PSSHG/NT4-GFP-Ant recombinant AAV vector are constructed successfully.

An analytical method was developed for the simultaneous extraction and determination of three quaternary ammonium compouds ( QACs) in soil samples using ultrasonic extraction and gas chromatography-mass spectrometry( GC-MS) . The qualitative and quantitative analysis of the three analytes dodecyltrimethyl ammonium chloride ( DTAC) , cetyltrimethyl ammonium bromide ( CTAB) and didodecyldimethyl ammonium chloride ( DDAC) were conducted by application of EI mass spectra and selected ion monioring ( SIM ) . Characteristic ions of the QACs were m/z 58 ( DTAC and CTAB) and m/z 212 ( DDAC) . To achieve optimum extraction efficiency, several impact factors including types of extractants, pH of extraction, concentration of linear alkylbenzene sulfonates ( LAS) , extraction times and content of purification column were investigated. Methanol with pH 3. 5 and 40 μg/L LAS solution were selected as extractant. Soil sample was extracted by treated methanol each 10 mL for 20 min every time. Extract of the soil sample was purified by neutral alumina column with 4 cm in length and 1cm in diameter, and then was determineted by GC-MS. Good linear relationships of all the three QACs were obtained in the range of 0. 02-2. 0 mg/L. The limits of determination (LOD, S/N=3) was 1. 2-4. 5 μg/kg. The method was used to analyse real soil samples ( paddy soil, lateritic red soil, and ore tailings) collected from a mining district in south China. Results of determination exhibited the concerntrations of the three analytes in real soil samples ranged from 0 . 24 mg/kg to 0. 41 mg/kg, and their recoveries ranged from 76% to 113% with relative standard deviations ( RSD) of 1. 1%-12. 9% in three different spiked concentrations of 0. 2, 0. 5 and 1. 0 mg/kg.

Objective To investigate the effect and mechanism of miR-885-3p on the radiosensitivity of colorectal cancer cell HT-29. Methods The expression of miR-885-3p in HT-29 cells irradiated with different doses (0, 2, 4, 6, 8 Gy) of X-rays was detected by qPCR. The effect of miR-885-3p in modulating cell radiosensitivity was assessed in HT-29 cells with miR-885-3p overexpression. Bioinformatics prediction and dual luciferase reporter gene assay were employed to identify the direct target gene of miR-885-3p. Relationship between miR-885-3p and target gene tyrosine kinase 1 (AKT1) was investigated via regulation of miR-885-3p expression. The effect of AKT1 on radiosensitivity in HT-29 cells was evaluated through knockdown AKT1. The effect of AKT1 on miR-885-3p-induced radiosensitivity was detected by co-transferring miR-885-3p and AKT1 gene into HT-29 cells. Results miR-885-3p expression was up-regulated in radiation-induced HT-29 cells (F=46. 64, P<0. 05). Over-expression of miR-885-3p and knockdown of AKT1 enhanced cell radiosensitization by inhibiting survival and promoting apoptosis (t=12. 33, 12. 95, P <0. 05) with SER of 1. 602 and 1. 946, respectively. Inhibition of miR-885-3p promoted radioresistance by increasing cell survival and inhibiting apoptosis (t=11. 94, P<0. 05) with a SER of 0. 839. AKT1 is a target gene downstream of miR-885-3p, overexpression of AKT1 reversed the effect of miR-885-3p on cell radiosensitivity with a SER of 0. 680. Conclusions miR-885-3p can enhance the radiosensitivity of colorectal cancer HT-29 cells by directly targeting AKT1, which provides a target for improving the radiosensitivity of clinical colorectal cancer.

Objective:To construct a hypoglycemia random forest prediction model for older adults with type 2 diabetes, and assess the model′s prognostication performance through internal and external verification.Methods:From August 2022 to January 2023, 300 older adults with type 2 diabetes in Beijing Hospital were selected. The demographic characteristics, medical history, laboratory tests, and other data of the patients were collected, and the data set was randomly divided into the training set and verification set in a ratio of 7∶3. The hypoglycemia prediction model for older adults with type 2 diabetes was constructed and optimized based on the random forest algorithm. The calibration curve was used to evaluate the model′s calibration, and the ROC was used to evaluate the model′s discrimination. The clinical applicability of the model was assessed by the decision curve analysis. The risk factors for hypoglycemia in the older adults were explored by prioritizing the contributions of variables in prediction. The Bootstrap method was used for internal validation, and the validation set was used for external validation.Results:Among the 300 older adults with type 2 diabetes, 128 cases (42.67%) experienced hypoglycemia within one week. The predictive contributions of risk factors in the model were ranked as follows: the number of episodes of hypoglycemia in one month, HDL-C, heart disease, diabetes knowledge and education, combination therapy, age, duration of diabetes, staple food restriction, glycosylated hemoglobin, and gender. The internal and external calibration curves of the hypoglycemia random forest model for the older adults with type 2 diabetes fluctuated around the diagonal, indicating that the calibration degree of the predictive model is good. The AUROC of internal verification was 0.823 (95% CI 0.752-0.894), the sensitivity and specificity were 0.867 and 0.698, respectively. The external verification was 0.859 (95% CI 0.817 - 0.902), and sensitivity and specificity were 0.789 and 0.804, respectively, showing that the overall discrimination of the prediction model was good. The DCA curves were far from the all-positive line and all-negative line, which indicated that the prediction model had good clinical applicability. Conclusions:The predictive effect of this model is good, and it is suitable for predicting the risk of hypoglycemia in older adults with type 2 diabetes, and it provides a reference for early hypoglycemia screening and predictive intervention for this kind of patients.

Objective To study the effect of self-monitoring of blood glucose information management platform based on the medical consortium on the level of blood glucose control by improving the implementation rate of self-monitoring of blood glucose prescriptions for type 2 diabetes patients in the community.Methods A convenient sampling method was used to select 121 patients with type 2 diabetes from April 2021 to April 2023 who were enrolled in a community of a tertiary hospital medical consortium in Beijing.They were randomly divided into 61 patients in an experimental group and 60 patients in a control group.The control group received routine blood glucose monitoring and guidance education,while the experimental group was managed by a self-monitoring of blood glucose information management platform based on the medical consortium with nurses as the main body.Glycated hemoglobin,glucose test,fasting blood sugar,blood glucose 2 hours after meal,and the completion of self blood glucose monitoring prescriptions were evaluated and analyzed in the first week and the twelfth week of the 2 groups.Results 61 cases in the experimental group and 58 cases in the control group completed the follow-up,and the patients who completed the follow-up were analyzed.There was no statistically significant difference in glycated hemoglobin between the 2 groups at baseline(P=0.117).After 12 weeks,the reduction standard-reaching rate in glycated hemoglobin in the experimental group was significantly different from that in the control group(P=0.014).The number of self-monitoring of fasting blood glucose and the total number of other time periods in experimental group were significantly higher than those in the control group(P＜0.001);the implementation rate of self-monitoring prescription in the experimental group was better than that in the control group(P＜0.001).Conclusion A self blood glucose monitoring information platform was built to manage community type 2 diabetes patients,so that patients can master and implement the personalized blood glucose monitoring prescription formulated by the medical union team with nurses as the main body,and it is conducive to improving the frequency of blood glucose monitoring and the level of blood glucose control of diabetes patients.