Objective To study the mechanism of blood-lipid regulation of the effective fractions from the extracts of Radix Salviae Miltiorrhizae(RSM)or Fructus Crataegi(FC),as well as their interaction.Methods The serum-drug of RSM and FC extracts were prepared by orthogonal design L_16(215).Amphotercin B cell model and RT-PCR method were used to examine the effects of the serum-drug of RSM and FC extracts on endogenous cholesterol biosynthesis in Chinese hamster ovary(CHO)cells and the expressions of cholesterol 7?-hydroxylase(CYP7A)mRNA in BRL cells.Results Ethanol(75%)and ammonia extracts of RSM obviously increased the absorbance(A)in the experiment of amphotercin B cell model and the expression of CYP7A mRNA in BRL cell line.The extracts of FC had no direct effect on cholesterol metabolism by themselves,but they were in synergism with the extracts of RSM.ConclusionThe extracts of RSM have a blood-lipid regulation by inhibiting endogenous cholesterol biosynthesis and increasing CYP7A mRNA expression,and maybe have a better effect when the extracts of FC are used together.

Objective To investigate the relationship between serum or urine tissue inhibitor of metalloproteinases-1 (TIMP-1)levels and the stages of chronic kidney disease (CKD).Methods Serum and urine level of TIMP-1 were measured by enzyme-linked immunoadsorbent assay (ELISA) in 122 CKD patients and 40 healthy controls.Serum cystatin-C (CystC),parathyroid hormone (PTH),low-density lipoprotein (LDL)and other markers were determined simultaneously.Correlationanalysis between TIMP-1 level and degree of renal function were performed.Results Serum and urine TIMP-1 of the patients in CKD group was significantly higher than that in control group (P

OBJECTIVETo investigate the expression of transcription factor Sp1 in gastric cancer tissue and its correlation with prognosis.

METHODSSp1 expression patterns in specimens of 86 gastric cancers, 57 normal gastric tissues and 53 metastatic lymph nodes were detected by immunohistochemical method. The activity of Sp1 in the tumor and normal tissues was examined by electrophoretic mobility shift analysis (EMSA). The correlation between transcription factor Sp1 expression of tumors and patients' prognosis were statistically analyzed using Cox proportional hazard model.

RESULTSIn normal gastric tissue, Sp1 protein was predominantly expressed in the nuclei of cell located in the mucous neck region, but neither in the gastric pit cells with foveolar differentiation, nor in cells of the glandular epithelium with glandular differentiation. Strong Sp1 expression was also detected in tumor cells, but very weak or even no Sp1 expression in stromal cells or normal glandular cells surrounding the tumor. The median survival time of patients with negative, weak, and strong Sp1 expression was 43, 37, and 8 months, respectively (P < 0.01). Spl expression (P < 0.01) and stage (P < 0.001) were demonstrated as independent prognostic factor by multivariate analysis.

CONCLUSIONNormal and malignant gastric tissue are found to have its own unique Sp1 expression patterns. Sp1 expression may be used as an important survival predictor in human gastric cancer.

Adenocarcinoma ; metabolism ; pathology ; Adenocarcinoma, Papillary ; metabolism ; pathology ; Biomarkers, Tumor ; metabolism ; Blotting, Western ; statistics & numerical data ; Cell Nucleus ; metabolism ; Electrophoretic Mobility Shift Assay ; Female ; Follow-Up Studies ; Gastric Mucosa ; chemistry ; pathology ; Humans ; Immunohistochemistry ; statistics & numerical data ; Lymphatic Metastasis ; Male ; Middle Aged ; Neoplasm Staging ; Prognosis ; Proportional Hazards Models ; Sp1 Transcription Factor ; metabolism ; Stomach Neoplasms ; metabolism ; pathology ; Survival Analysis

Objective:To investigate the factors influencing phytohemagglutinin (PHA) response in the detection of Mycobacterium tuberculosis infection by gamma interferon release assay (IGRA). Methods:A retrospective case-control study was conducted on 360 hospitalized patients who received IGRA in West China Hospital of Sichuan University from January 2019 to December 2021. According to PHA response (IFN-γ level), they were divided into three groups: negative mitogen response group (IFN-γ<2 pg/ml), weak positive mitogen response group (IFN-γ: 2-100 pg/ml), and normal mitogen response group (IFN-γ>400 pg/ml).Results:Immune diseases were independently associated with negative (OR=0.34, 95%CI: 0.17-0.72, P=0.004) and weak positive mitogen responses (OR=0.29, 95%CI: 0.16-0.55, P<0.001). Infections caused by pathogens other than Mycobacterium tuberculosis was independently associated with negative mitogen response (OR=0.266, 95%CI: 0.09-0.83, P=0.023), while immunodeficiency was independently associated with weak positive mitogen response (OR=0.280, 95%CI: 0.12-0.63, P=0.002). Mitogen response was significantly correlated with the levels of albumin and hemoglobin in serum and the counts of neutrophils and lymphocytes ( P<0.001). Conclusions:Immune diseases and immunodeficiency can affect mitogen response. Therefore, clinicians should give attention to mitogen response in the interpretation of IGRA test results to prevent misdiagnosis and underdiagnosis. Besides, to a certain extent, mitogen response can reflect the infection status of hospitalized patients.

Objective: To retrospectively analyze the distribution of non-fermentative bacteria causing bloodstream infection in hospitalized patients in Sichuan Province and their drug susceptibility to common antibiotics for better understanding their epidemiological characteristics. Methods: From January 1, 2015 to December 31, 2017, all of the non-fermentative bacteria isolated from patients with bloodstream infection in nine hospitals in Sichuan Province were collected. Species distribution and drug resistance test results were retrospectively analyzed. Results: A total of 6 291 strains of pathogenic bacteria were isolated, including 3 674 strains of gram-negative bacteria (58.4%) and 2 617 strains of gram-positive bacteria (41.6%). The gram-positive bacteria were 1 895 strains of Staphylococcus (30.1%), 372 strains of Streptococcus (5.9%), 317 strains of Enterococcus (5.1%) and 33 strains of other gram-positive bacteria (0.5%). The gram-negative bacteria were 3 191 Enterobacteriaceae strains (50.7%), 389 non-fermentative strains (6.2%) and 94 other gram-negative strains (1.5%). The isolated non-fermentative bacteria were mainly Pseudomonas aeruginosa (136 strains, 35.0%), Acinetobacter baumannii (126 strains, 32.0%) and Stenotrophomonas maltophilia (33 strains, 8.5%). There were 167 (42.9%), 112 (28.8%) and 82 (21.1%) non-fermentative bacteria isolated in internal medicine departments, ICUs and surgery departments, respectively. The drug resistance rates of Pseudomonas aeruginosa to cefepime, ciprofloxacin and gentamicin were 16.5%, 10.7% and 9.9%, respectively. Carbapenems-resistant Pseudomonas aeruginosa (CR-PA) accounted for 13.6%. No polymyxin-resistant Pseudomonas aeruginosa was found. The resistance rates of Acinetobacter baumannii to all antibiotics were over 30% except for minocycline and polymyxin and 75.7% of carbapenem-resistant Acinetobacter baumannii (CR-AB) were isolated. The drug resistance rates to levofloxacin, trimethoprim/sulfamethoxazole and ceftazidime were 0%, 0% and 37.0% in Stenotrophomonas maltophilia isolates and 10.5%, 4.2% and 19% in Burkholderia cepacia isolates, respectively. Conclusions Non-fermentative bacteria causing 6.2% of bloodstream infection in Sichuan, mainly by Pseudomonas aeruginosa and Acinetobacter baumannii. There were significant differences in the isolation rate of non-fermentative bacteria in different departments and most of the strains were isolated in internal medicine departments. The detection rate of Acinetobacter baumannii with multiple drug resistance was high, while other non-fermentative bacteria had good sensitivity to antibiotics.