Objective To characterize Hfq-dependent phenotypes in stress response and to dissect Hfq-dependent transcription of virulence genes and stress-responsive genes in Vibrio cholera.Methods The hfq null mutant strain (△hfq) and the complemented mutant strain (△hfq/pUC18-hfq) were constructed from the wild-type Vibrio cholera.Comparisons on the motility,biofilm formation,growth under various oxygen-supplying conditions,outer membrane resistance,and sensitivity to oxidative stress were analyzed between the wild type strain and the mutant strains.Reverse-transcript fluorescence quantitative PCR (RT-qPCR) was used to determine the transcriptional levels of target genes in the above mentioned strains.Results △hfq and △hfq/pUC18-hfq strains were successfully constructed.The motility,outer membrane resistance and sensitivity to oxidative stress were reduced,but biofilm formation was enhanced in the hfq null mutant strain.RT-qPCR testified that Hfq had regulation effects on gene transcription for forming falagellum,extracellular polysaccharide,outer membrane protein and oxidative stress in Vibrio cholera.Conclusion As a RNA chaperone,Hfq could affect Vibrio cholera in its biofilm formation,resistance to oxidative stress and antibiotics resistance through regulating the transcription of multiple metabolic genes and virulence genes,which indicates that Hfq,combined with other regulators,may play a key role in the complex regulation of metabolic genes and virulence genes.

Objective:To explore the hemostatic mechanism of Jianpi Yiqi Shexue decoction(JYSD)by regulating vascular factors in an immune thrombocytopenia(ITP)mouse model.Methods:An ITP mouse model was established by the passive-immune modeling method,and inter-ventional drugs used were prednisone tablets and JYSD.The platelet count;vascular activity-related factors vWF,VCAM-1,and TM;and VEGF and bFGF were used as observational indicators.Results:On the 8th day of administration,compared with the model group,platelet counts in the prednisone and JYSD groups increased(both P＜.001).Compared with the control group,the levels of vWF,VCAM-1,and TM in the other groups were lower(all P＜.05).The VCAM-1 level in the JYSD group was higher than that in the prednisone group(P=.012),but without significant difference compared with the model group(P=.051).The TM level in the JYSD group was the lowest(vs.the model group,P=.047;vs.the prednisone group,P=.006).Compared with the control group,the IOD values of VEGF and bFGF in the other three groups were lower(all P＜.01).The IOD values of VEGF in the prednisone and JYSD groups were both higher than those in the model group(P=.002 and P＜.001,respectively).The IOD values of bFGF among the model,prednisone,and JYSD groups were not statistically significant(P＞.05).Conclusion:A vascular factor disorder is involved in the pathogenesis of ITP.JYSD can increase the platelet count,upregulate VEGF expression,and reduce the TM level.JYSD has the same effect as prednisone tablets in regulating platelet,vWF,VEGF,and bFGF,with a stronger effect in normalizing VCAM-1 and TM levels.The hemostatic mechanism of JYSD is closely related to the effective balance of vascular factors.

Objective: Autoregressive integrated moving average (ARIMA) model was used to predict the incidence of tuberculosis in China from 2018 to 2019, providing references for the prevention and control of pulmonary tuberculosis. Methods: The monthly incidence data of tuberculosis in China were collected from January 2005 to December 2017. R 3.4.4 software was used to establish the ARIMA model, based on the monthly incidence data of tuberculosis from January 2005 to June 2017. Both predicted and actual data from July to December 2017 were compared to verify the effectiveness of this model, and the number of tuberculosis cases in 2018-2019 also predicted. Results: From 2005 to 2017, a total of 13 022 675 cases of tuberculosis were reported, the number of pulmonary tuberculosis patients in 2017 was 33.68% lower than that in 2005, and the seasonal character was obvious, with the incidence in winter and spring was higher than that in other seasons. According to the incidence data from 2005 to 2017, we established the model of ARIMA (0,1,2)(0,1,0)₁₂. The relative error between the predicted and actual values of July to December 2017 fitted by the model ranged from 1.67% to 6.80%, and the predicted number of patients in 2018 and 2019 were 789 509 and 760 165 respectively. Conclusion The ARIMA (0, 1, 2)(0, 1, 0)₁₂ model well predicted the incidence of tuberculosis, thus can be used for short-term prediction and dynamic analysis of tuberculosis in China, with good application value.