Objective To analyze the level of Th17 and Treg cells in the peripheral blood of patients with rheumatoid arthritis(RA),and to investigate its role in the pathogenesis of RA and the clinical significance.Methods Flow cytometry(FCM)was used to analyze the ratio of interleukin(IL)-17+CD4+T (Thl7)cells and Foxp3+CD25+CD4+T(Treg)cells in CD4+T cells from the peripheral blood of 57 RA patients and 32 normal controls.T-test and Chi-square test were used for inter-group comparison and Pearson's linear analysis was used for correlation analysis.Resuits Compared with normal controls.the level of both IL-17+CD4+T cells and the ratio of Th17/Treg in RA patients increased significantly.while the level of Foxp3+CD4+CD25+T cells decreased markedly[(4.2±2.2)%vs(2.3±1.4)%,P=0.000;1.15±0.62 I)5 0.34±0.17,P=0.000;(3.9±1.6)%vs(7.0±2.2)%,P=0.000].Compared with early RA(persistent for 2 years or less)patients,the levels of Th17,Treg and the ratio of Th17/Treg in chronic RA(duration for more than 2 years)patients didn't markedly changed(P>0.05).The level of Th17 cells and the ratio of Th17/Treg was directlycorrelated with disease activity parameter (including tender ioint counts,visual analog seale of patients,disease activitv score in 28 joints,etc).Regression analysis discovered that risk factors of bone erosion were the level of Th17 cells,the ratio of Th17/Treg,disease activity score in 28 joints and disease duration.Antirheumatic drugs could decreascthe ratio of Th 17/Treg.Conclusions Treg cells is decreased in RA patients while Th7 cells is increased in patients with RA.Th17/Treg ratio goes up significantly as well.Change of T celt subsets,especially Th17 and Treg cells are important for the pathogenesis of RA.Th17 and Treg cells could aggrevate disease activity and bone destruction throughout the whole disease process.Anti-rheumatic medications is effective by regulating Th17/Treg subset balance.

Objective: To investigate the association between aflatoxin exposure and primary hepatocellular carcinoma (PHC) development. Methods: From December 2013 to May 2016, we selected 214 patients newly diagnosed with PHC as cases, and 214 patients as controls from three hospitals in Chongqing. Cases were confirmed with PHC diagnosis standard. And cases caused by clear reasons such as drug-induced liver injury, alcoholic liver damage, fatty liver and gallstones etiology, were excluded. Controls were included with no cancer and no digestive system disease, and recruited simultaneously with cases. Cases and controls were frequency-matched (1∶1) by same gender and age (±3 years). Peripheral blood and random urine samples were collected and analyzed for serum HBsAg status by biochemistry analyzer, and serum AFB₁-ALB adduct and urinary AFB₁-N⁷-GUA adduct by ELISA. Basic information, living habits and history of disease for patients were obtained by questionnaires. We used wilcoxon rank sum test to compare the median of serum AFB₁-ALB adduct and urinary AFB₁-N⁷-GUA adduct in cases and controls. Logistic regression analyses were performed to assess risk factors for PHC, and synergism index (S) of aflatoxin with other factors was estimated by the method of Andersson. Results: There was no significant difference in age between PHC cases (50.74±9.67) years and controls (51.15±9.90) years. Logistic regression showed that the odds ratio of HBV infection for PHC development was 46.3 (95% CI: 23.3-88.0). There was a significant difference in median concentrations of serum AFB₁-ALB adduct (cases vs controls: 146.23 vs 74.42 ng/g albumin, P<0.001), but no difference in median concentrations of urinary AFB₁-N⁷-GUA adduct was observed (cases vs controls: 0.17 vs 0.14 ng/mg creatinine, P<0.210). The odd ratios for PHC risk after adjustment were 1.9 (95%CI: 1.1-3.4) for AFB₁-ALB adduct, and 2.1 (95%CI: 1.0-4.2) for AFB₁-N⁷-GUA adduct. Moreover, we observed a positive interaction of aflatoxin exposure with HBV, alcohol drinking, and diabetes. The S was 4.7 (95%CI: 2.8-7.9), 3.5 (95%CI: 1.0-12.0), and 12.4 (95%CI: 1.8-84.2), respectively for serum AFB₁-ALB adduct with each of the three factors mentioned, and was 1.9 (95%CI:1.1-3.1), 2.0 (95%CI: 1.1-3.6), and 2.0 (95%CI: 1.1-3.6), respectively for urinary AFB₁-N⁷-GUA adduct with each of the three factors mentioned. Conclusion HBV was still the main risk factor, and AFB₁ exposure was also an independent risk factor for PHC in Chongqing. There was a positive interaction of aflatoxin with HBV, alcohol drinking, and diabetes.

Since the outbreak of COVID-19 in Wuhan, cabin hospitals have played an important role in preventing the spread of the epidemic and admitting all the patients and suspected ones. As one of the first three cabin hospitals in Wuhan, Jianghan cabin hospital under care of Wuhan Union Hospital has efficiently fulfilled its purpose of admitting patients of mild symptoms. Measures taken by the cabin hospital include clearing its positioning, optimizing its layout, establishing organization structure, setting up the rules and regulations, and strengthening the prevention and control of hospital infection. This article briefly summed up the operation and management practices of the cabin hospital, and analyzed its management difficulties, hence putting forwards suggestions on medical emergency management system of China, for references of hospitals and authorities in charge.