Objective To compare the infectivity between laboratory adapted human inununodefi- ciency virus(HIV-1) and primary HIV-1 isolates for different mucosal epithelial cell lines. Methods Mu-cosal epithelial cells Caco-2, T-84, HeLa and lymphocyte MT-4 were infected with laboratory adapted HIV-1 SF33 and 2 primary HIV-1 isolates (02010561, 02010141). Culture supernatant and cells were collected respectively on 3-4 days interval after virus inoculation. The former was tested for HIV-1 antigen P24 level and viral load, and the latter was tested for total viral DNA and integrated viral DNA. Results All 3 virus strains could infect MT-4 cells and integrate into their genome. Only HIV-1 SF33 could infect Caco-2 cells but could not integrate into their genomic DNA. Both HIV-1 SF33 and 02010561 infected HeLa cells but only integration of HIV-1 SF33 was detected. All the 3 HIV-1 strains infected T-84 cells but only the integra-tion of HIV-1 SF33 and 02010141 was observed. Conclusion Although laboratory adapted and primary HIV-1 strains are able to infect human mucosal epithelial cell lines, transient or productive infection estab-lished in different mucosal epithelial cells is dependent on the character of cells and virus strains.

AIM:To investigate effect of hypoxia on the expression of proliferating cell nuclear antigen(PCNA) a nd phenotype of cardiac fibroblasts(CFs). METHODS: The purif ied cardiac fibro blasts were cultured and divided randomly into there groups :control group, mode rate hypoxia(MH) group and severe hypoxia(SH) group. After 72 h,MTT method was u s ed to investigate the proliferation of CFs, and the ultrastructure of fibroblast s were observed with transmission electron microscopy The expression of PCNA a n d ?-actin in cardiac fibroblasts were measured by the means of immunohistochemi s try and laser scanning confocal microscopy, respectively. RESULTS: MTT A 490 nm value of MH group was significantly higher than that of control group by (18 4?25 0)% ( P

Anticoagulants ; Antithrombins/therapeutic use* ; Coronary Disease ; Heparin ; Hirudins ; Humans ; Peptide Fragments ; Percutaneous Coronary Intervention ; Recombinant Proteins ; Treatment Outcome

OBJECTIVE: To investigate the correlation between early-stage blood pressure indexes and prognosis in sepsis patients. METHODS: A retrospective cohort study was conducted on the medical records of patients diagnosed with sepsis from 2001 to 2012 in the Medical Information Mart for Intensive Care-III (MIMIC-III) database. Patients were divided into survival group and death group according to the 28-day prognosis. General data of patients and heart rate (HR) and blood pressure at admission to ICU and within 24 hours after admission were collected. The blood pressure indexes including the maximum, median and mean value of systolic index, diastolic index and mean arterial pressure (MAP) index were calculated. The data were randomly divided into training set and validation set (4 : 1). Univariate Logistic regression analysis was used to screen covariates, and multivariate Logistic stepwise regression models were further developed. Model 1 (including HR, blood pressure, and blood pressure index related variables with P < 0.1 and other variables with P < 0.05) and Model 2 (including HR, blood pressure, and blood pressure index related variables with P < 0.1) were developed respectively. The receiver operator characteristic curve (ROC curve), precision recall curve (PRC) and decision curve analysis (DCA) curve were used to evaluate the quality of the two models, and the influencing factors of the prognosis of sepsis patients were analyzed. Finally, nomogram model was developed according to the better model and effectiveness of it was evaluated. RESULTS: A total of 11 559 sepsis patients were included in the study, with 10 012 patients in the survival group and 1 547 patients in the death group. There were significant differences in age, survival time, Elixhauser comorbidity score and other 46 variables between the two groups (all P < 0.05). Thirty-seven variables were preliminarily screened by univariate Logistic regression analysis. After multivariate Logistic stepwise regression model screening, among the indicators related to HR, blood pressure and blood pressure index, the HR at admission to ICU [odds ratio (OR) = 0.992, 95% confidence interval (95%CI) was 0.988-0.997] and the maximum HR (OR = 1.006, 95%CI was 1.001-1.011), maximum MAP index (OR = 1.620, 95%CI was 1.244-2.126), mean diastolic index (OR = 0.283, 95%CI was 0.091-0.856), median systolic index (OR = 2.149, 95%CI was 0.805-4.461), median diastolic index (OR = 3.986, 95%CI was 1.376-11.758) were selected (all P < 0.1). There were 14 other variables with P < 0.05, including age, Elixhauser comorbidity score, continuous renal replacement therapy (CRRT), use of ventilator, sedation and analgesia, norepinephrine, norepinephrine, highest serum creatinine (SCr), maximum blood urea nitrogen (BUN), highest prothrombin time (PT), highest activated partial thromboplastin time (APTT), lowest platelet count (PLT), highest white blood cell count (WBC), minimum hemoglobin (Hb). The ROC curve showed that the area under the curve (AUC) of Model 1 and Model 2 were 0.769 and 0.637, respectively, indicating that model 1 had higher prediction accuracy. The PRC curve showed that the AUC of Model 1 and Model 2 were 0.381 and 0.240, respectively, indicating that Model 1 had a better effect. The DCA curve showed that when the threshold was 0-0.8 (the probability of death was 0-80%), the net benefit rate of Model 1 was higher than that of Model 2. The calibration curve showed that the prediction effect of the nomogram model developed according to Model 1 was in good agreement with the actual outcome. The Bootstrap verification results showed that the nomogram model was consistent with the above results and had good prediction effects. CONCLUSIONS The nomogram model constructed has good prediction effects on the 28-day prognosis in sepsis patients, and the blood pressure indexes are important predictors in the model.
Humans ; Cohort Studies ; Retrospective Studies ; Blood Pressure ; Intensive Care Units ; ROC Curve ; Sepsis/diagnosis* ; Prognosis ; Critical Care ; Norepinephrine

Pancreatic cancer induced by mutation KRAS exhibited a higher risk of incidence, recurrence and mortality. C-Myc is downstream of KRAS and can be involved in the regulation of multiple oncogenic pathways and signaling pathways in pancreatic cancer. Over expressing of C-Myc promotes glycolysis and glutamine uptake in pancreatic cancer cells, promotes cell metabolism and proliferation, is an important factor driving the progress and maintenance of pancreatic cancer, and is related to chemotherapy and immunotherapy drug resistance. C-Myc also interacts with cell cyclin-dependent kinase(CDK) and non-coding RNA to regulate the proliferation, development and metastasis of pancreatic cancer. Therefore, targeting C-Myc was regarded as an effective strategy for the treatment of pancreatic cancer. The activation of C-Myc depends on heterodimerization with its partner MAX and thereby paly a role through binding to the canonical E-Box sequence 5’-CACGTG-3’. Researches showed direct targeting of C-Myc can inhibit the growth of pancreatic carcinoma,such as promoting the degradation of C-Myc, inhibiting the binding of C-Myc/MAX and blocking the binding of C-Myc/MAX to E-box. However, direct targeting has been proved challenging because of its special protein structure. Indirect targeting of C-Myc provided a new strategy for the treatment of pancreatic cancer. C-Myc can be indirected targeting through inhibiting transcription and translation of C-Myc, C-Myc-MAX heterodimerization and promote the ubiquitination and degradation of C-Myc, thus affects the occurrence, development and metastasis of pancreatic cancer.