Objective:The aim of this study was to detect the P2X7 receptor (P2X7R) protein expression in pancreatic carcinoma and to analyze its association with clinicopathology features of pancreatic carcinoma.And furtherly to explore the effects and underlying mechanisms of P2X7R on invasion and migration of PANC-1 cell line.Methods:P2X7R expression was determined by immunohistochemistry in specimens of primary cancer and adjacent noncancerous tissues respectively,and analyzed the relationship between P2X7R expression and clinicopathology features of pancreatic carcinoma.The transwell assay and wound healing assay were used for investigating cell invasion and migration ability of PANC-1,and western blotting was performed to measure the expresions of MMP2 and MMP9.Results:P2X7R protein was highly expressed in both PANC-1 cell line and tumor tissue,and associated positively with the histological differentiation and lymph node staging.The active P2X7R could increase the cell migration and invasion ability of PANC-1 cell line through up-regulated MMP2 and MMP9.Conclusions:The overexpression of P2X7R plays crucial roles in the migration and invasion of pancreatic carcinoma,and may represent a novel molecular target in pancreatic carcinoma therapy.

Objective To evaluate the potential value of next-generation sequencing ( NGS) as a diagnostic method for listeria infection in central nervous system ( CNS ) . Methods To identify the potentially pathogenic microorganisms ( PPMs) of the five patients with CNS infection in the Department of Neurology, People's Hospital of Zhengzhou University from June 2017 to November 2017, blood or cerebrospinal fluid ( CSF ) was detected not only using common laboratory tests , including routine , biochemical, cytologic, culture and Gram-staining methods, etc, but also using the BGISEQ-100 sequencing platform to identify the PPMs of CSF .Concomitantly , we collected concurrent clinical data , then performed a comprehensive analysis of their clinical , laboratory , and auxiliary examination data .Results Of the five cases (male :female: 1:4, age ranges: 26 -61 years), the disease mainly occurred in summer.Three patients received immunosuppressants treatment before infection , and three patients had gastrointestinal syndrome in the prodromal period .Infection of CNS led to fever , headache and meningeal irritation sign in all the patients.The medical imaging examinations showed the invasion of meninges , brainstem, and the periventricular gray matter.The cell count of CSF was more than 500 ×106/L.NGS techniques showed listeria genome sequence ranged from 57 to 2611, and the coverage of listeria varied from 0.23％ to 14.00％, and PCR results supported the existence of listeria .Conclusion NGS is beneficial to make the diagnosis of listeria infection in CNS , and can help guide early treatment .

OBJECTIVETo explore the effect of signal strength indictor (SSI) in improving sensitivity of China Infectious Diseases Automated-alert and Response System (CIDARS).

METHODSDiarrhea cases in 2007-2011 and early warning signals in 2010-2011 were selected by using random digital table method. Then, SSI and event-related ratio (ER) were calculated. The relationship between ER and SSI was analyzed, and the effect of SSI on ER was explored by using multiple logistic regression analysis.

RESULTS9 620 early warning signals in 2010-2011 were generated in two years. Of these, 74, or 0.77% were defined as suspected outbreak signal. The median of SSI related with suspected outbreak signal was 4.0, which was much higher than non-suspected outbreak signal (1.7). ER was significantly correlated with SSI (r=0.917). SSI classification has a good correlation between the ER, ER exceeded 20 after SSI reached 20. The multivariate logistic regression analysis showed OR of SSI related with suspected outbreak signal was 2.52 (95% CI 2.04-3.12). Compared with non-epidemic season, the relationship of SSI and ER in epidemic season was much higher.

CONCLUSIONSSI was closely related with ER. The relationship was much closer in large scale outbreak and epidemic season, and compared to non-epidemic,the effect of epidemic season is more obvious.

China ; Communicable Diseases ; diagnosis ; epidemiology ; Diarrhea ; diagnosis ; epidemiology ; Disease Outbreaks ; Humans ; Population Surveillance

OBJECTIVEProviding evidences for further modification of China Infectious Diseases Automated-alert and Response System (CIDARS) via analyzing the outbreak detection performance of Moving Percentile Method (MPM) by optimizing thresholds in different provinces.

METHODSWe collected the amount of MPM signals, response results of signals in CIDARS, cases data in nationwide Notifiable Infectious Diseases Reporting Information System, and outbreaks data in Public Health Emergency Reporting System of 16 infectious diseases in 31 provinces in Chinese mainland from January 2011 to October 2013. The threshold with the optimal sensitivity, the shortest time to detect outbreak and the least number of signals was considered as the best threshold of each disease in Chinese mainland and in each province.

RESULTSAmong all the 16 diseases, the optimal thresholds of 10 diseases, including dysentery, dengue, hepatitis A, typhoid and paratyphoid, meningococcal meningitis, Japanese encephalitis, scarlet fever, leptospirosis, hepatitis, typhus in country level were the 90(th) percentile (P90), which was the same as provincial level for those diseases.For the other 6 diseases, including other infectious diarrhea, influenza, acute hemorrhagic conjunctivitis, mumps, rubella and epidemic hemorrhagic fever, the nationwide optimal thresholds were the 80th percentile (P80), which was different from that by provinces for each disease. For these 6 diseases, the number of signals generated by MPM with the optimal threshold for each province was decreased by 23.71% (45 557), 15.59% (6 124), 14.07% (1 870), 9.44% (13 881), 8.65% (1 294) and 6.03% (313) respectively, comparing to the national optimal threshold, while the sensitivity and time to detection of CIDARS were still the same.

CONCLUSIONOptimizing the threshold by different diseases and provinces for MPM in CIDARS could reduce the number of signals while maintaining the same sensitivity and time to detection.

China ; Communicable Diseases ; Disease Notification ; Disease Outbreaks ; prevention & control ; Humans ; Population Surveillance ; methods