BACKGROUND: FG loop (FGL) is a core active peptide fragment of neural cell adhesion molecule (NCAM), which can directly act on fibroblast growth factor receptor 1 (FGFR1) to activate NCAM signal pathway.OBJECTIVE: To observe the effects of synthetic peptides FGL on PC12 cells proliferation and apoptosis.METHODS: ①PC12 cells proliferation and apoptosis: The cultured PC12 cells were divided into control group and experiment group. The experimental group was added with 1% FGL peptide solution. The control group was pre-coated with poly-lysine plates. The cells were cultured 1, 3, 5, 7, 9 d respectively to detect cell proliferation by using Cell Counting Kit-8. ②PC12 apoptosis and nuclear factor kappa B mRNA detection: The PC12 cells were divided into normal group, experimental group and injury group. H2O2 was added into the injury group for 16 hours stimulation. In the experimental group, H2O2 and FGL were used for 16 hours stimulation. The cell apoptosis were detected by flow cytometry; mRNA expression of nuclear factor kappa B was detected by quantitative fluorescent polymerase chain reaction.RESULTS AND CONCLUSION: PC12 cells cocultured with FGL peptide grow well, which indicates that FGL peptides can promote PC12 cell proliferation and inhibit PC12 cell apoptosis, as well as decrease mRNA expression of nuclear factor kappa B.

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

Objective:To explore the application value of radical prostatectomy(RP) combined with extented pelvic lymph node dissection(ePLND) in patients with clinically localized prostate adenocarcinoma.Methods:We searched the PubMed, Embase, Cochrane Library databases, the China Knowledge Network(CNKI) database, Wanfang database, Chinese Biomedical Literature Database by computer.The following MeSH terms and their combinations were searched in English and Chinese, respectively: prostate neoplasms, prostate neoplasm, prostatic neoplasm, prostate cancer, prostate cancers, cancer of the prostate, prostatic cancer, prostatic cancers, cancer of prostate, lymph node excisions, lymphadenectomy; lymphadenectomies, lymph node dissections, radical prostatectomy, extent, extented, standard, standardized, limit, limited; prostate cancer, radical prostatectomy, lymph node dissections.The search was set for all case-control studies on the comparison in patients with clinically localized prostate cancer beteeen RP with ePLND with standard (sPLND) or limited PLND(lPLND). Two authors independently screened the literature, extracted relevant literature data, and evaluated the quality of the literature.The software Revman 5.3 and Stata 12.0 were used to perform meta-analysis in this study. The software R 3.6.0 was used to combine the total survival curves. The limited template was included in the sPLND for comparison.Results:Fourteen studies with a total of 12, 148 patients were included.Compared with sPLND, ePLND significantly improved lymph node yield(LNY)( WMD=9.72, 95% CI 6.81-12.63, P<0.05) and the detection of more lymph node positivity of metastasis(LN+ )( RR=2.89, 95% CI 2.16-3.86, P<0.00001). ePLND increased the complication rate, but the differences were not statistically significant( RR=1.39, 95% CI 0.95-2.05, P=0.09). The ePLND group had significantly lower biochemical recurrence(BCR)( RR=0.69, 95% CI 0.52-0.91, P=0.01) and higher biochemical-free survival( HR=0.59, 95% CI 0.56-0.63, P<0.05). Meanwhile, according to the overall survival, the two groups of curves became more and more distant over time( HR=0.59, 95% CI 0.56-0.63, P<0.05). Conlucsions:Compared with sPLND, RP combined with ePLDN could be more effective than standard PLND in patients with clinically localized prostate cancer and provides a better prognosis.

OBJECTIVEFor providing evidences for further modification of China Infectious Diseases Automated-alert and Response System (CIDARS) by comparing the early-warning performance of the temporal model and temporal-spatial model in CIDARS.

METHODSThe application performance for outbreak detection of temporal model and temporal-spatial model simultaneously running among 208 pilot counties in 20 provinces from 2011 to 2013 was compared; the 16 infectious diseases were divided into two classes according to the disease incidence level; cases data in nationwide Notifiable Infectious Diseases Reporting Information System was combined with outbreaks reported to Public Health Emergency Reporting System, by adopting the index of the number of signals, sensitivity, false alarm rate and time for detection.

RESULTSThe overall sensitivity of temporal model and temporal-spatial model for 16 diseases was 96.23% (153/159) and 90.57% (144/159) respectively, without significant difference (Z = -1.604, P = 0.109), and the false alarm rate of temporal model (1.57%, 57 068/3 643 279) was significantly higher than that of temporal-spatial model (0.64%, 23 341/3 643 279) (Z = -3.408, P = 0.001), while the median time for detection of these two models was not significantly different, which was 3.0 days and 1.0 day respectively (Z = -1.334, P = 0.182).For 6 diseases of type I which represent the lower incidence, including epidemic hemorrhagic fever,Japanese encephalitis, dengue, meningococcal meningitis, typhus, leptospirosis, the sensitivity was 100% for both models (8/8, 8/8), and the false alarm rate of both temporal model and temporal-spatial model was 0.07% (954/1 367 437, 900/1 367 437), with the median time for detection being 2.5 days and 3.0 days respectively. The number of signals generated by temporal-spatial model was reduced by 2.29% compared with that of temporal model.For 10 diseases of type II which represent the higher incidence, including mumps, dysentery, scarlet fever, influenza, rubella, hepatitis E, acute hemorrhagic conjunctivitis, hepatitis A, typhoid and paratyphoid, and other infectious diarrhea, the sensitivity of temporal model was 96.03% (145/151), and the sensitivity of temporal-spatial model was 90.07% (136/151), the number of signals generated by temporal-spatial model was reduced by 59.36% compared with that of temporal model. Compared to temporal model, temporal-spatial model reduced both the number of signals and the false alarm rate of all the type II diseases;and the median of outbreak detection time of temporal model and temporal-spatial model was 3.0 days and 1.0 day, respectively.

CONCLUSIONOverall, the temporal-spatial model had better outbreak detection performance, but the performance of two different models varies for infectious diseases with different incidence levels, and the adjustment and optimization of the temporal model and temporal-spatial model should be conducted according to specific infectious disease in CIDARS.

China ; Communicable Diseases ; Disease Notification ; Disease Outbreaks ; prevention & control ; Humans ; Models, Theoretical ; Population Surveillance ; methods ; Spatio-Temporal Analysis

Objective To analyze the viral etiologies of hospitalized pneumonia patients aged less than five years in six provinces during 2009-2012,and to describe the seasonality of the detected viral etiologies. Methods Eight hospitals were selected in six provinces from a national acute respiratory infection surveillance network. Demographic information,clinical history and physical examination,and laboratory testing results of the enrolled hospitalized patients aged less than five years with pneumonia,including respiratory syncytial virus (RSV),human influenza virus, adenoviruses(ADV),human parainfluenza virus(PIV),human metapneumovirus(hMPV),human coronavirus(hCoV)and human bocavirus(hBoV)were analyzed. The viral etiology spectrum of the enrolled patients was analyzed by age-group,year,and seasonality of the detected viral etiologies were described. Results 4 508 hospitalized children less than five years old,with pneumonia from 8 hospitals were included,and 2 688(59.6%)patients were positive for at least one viral etiology. The most frequent detected virus was RSV(21.3%),followed by PIV(7.1%)and influenza(5.2%),hBoV (3.8%),ADV(3.6%)and hMPV(2.6%). The lowest positive rates in hCoV(1.1%). RSV,influenza, PIV,hBoV and hMPV all showed the nature of seasonality. Conclusion RSV was a most common viral etiology in the hospitalized young children less than 5 years of age with pneumonia. Prevention measures should be conducted to decrease its severe impact to the young infants and children in China.

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

OBJECTIVETo analyze the implement performance of China Infectious Diseases Automated-alert and Response System (CIDARS) of 31 provinces in mainland China, and to provide the evidences for further promoting the application and improvement of this system.

METHODSThe amount of signals, response situation and verification outcome of signals related to 32 infectious diseases of 31 provinces in mainland China in CIDARS were investigated from 2011 to 2013, the changes by year on the proportion of responded signals and timeliness of signal response were descriptively analyzed.

RESULTSA total of 960 831 signals were generated nationwide on 32 kinds of infectious diseases in the system, with 98.87% signals (949 936) being responded, and the median (the 25(th) percentile to the 75(th) percentile (P25-P75) ) of time to response was 1.0 (0.4-3.3) h. Among all the signals, 242 355 signals were generated by the fixed-value detection method, the proportion of responded signals was 96.37% (62 349/64 703), 98.75% (68 413/69 282) and 99.37% (107 690/108 370), respectively, and the median (P25-P75) of time to response was 1.3 (0.3-9.7), 0.8(0.2-4.9) and 0.7 (0.2-4.2) h, respectively. After the preliminary data verification, field investigation and laboratory test by local public health staffs, 100 232 cases (41.36%) were finally confirmed.In addition, 718 476 signals were generated by the temporal aberration detection methods, and the average amount of signal per county per week throughout the country were 1.53, and 8 155 signals (1.14%) were verified as suspected outbreaks. During these 3 years, the proportion of signal response was 98.89% (231 149/233 746), 98.90% (254 182/257 015) and 99.31% (226 153/227 715), respectively, and the median (P25-P75) of time to response was 1.1 (0.5-3.3), 1.0 (0.5-2.9) and 1.0 (0.5-2.6) h, respectively.

CONCLUSIONFrom 2011 to 2013, the proportion of responded signals and response timeliness of CIDARS maintained a rather high level, and further presented an increasing trend year by year. But the proportion of signals related to suspected outbreaks should be improved.

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

BackgroundCurrently， the problem of depressed mood in college students is becoming more prominent. The experience of childhood maltreatment is a significant contributor to depression among college students. Although the association between the two has been confirmed， the specific psychosocial mechanisms underlying how childhood maltreatment affects college students' mental health remain insufficiently evidenced. ObjectiveTo explore the mediating role of emotion regulation difficulties in the relationship between childhood maltreatment and depression among college students， and to investigate the moderated effects of psychological resilience and family socioeconomic status， aiming to provide references for improving depressive symptoms in college students. MethodsOn 14 March 2024， a cluster sampling method was employed to recruit 751 college students from a university in Heilongjiang Province. Participants were assessed with Childhood Trauma Questionnaire （CTQ）， Difficulties in Emotion Regulation Scale （DERS）， Patients' Health Questionnaire Depression Scale-9 item （PHQ-9）， 10-item Connor-Davidson Resilience Scale （CD-RISC-10） and Family Socioeconomic Status Questionnaire. Pearson correlation analysis was adopted to examine the correlation between the scores of scales. Model 4 and model 7 in Process 4.2 were used to test the mediating effects of emotional regulation difficulties and the moderated effects of psychological resilience and family socioeconomic status. Results① A total of 712 （94.81%） valid questionnaires were collected. ② College students' CTQ score was positively correlated with DERS score and PHQ-9 score （r=0.296， 0.507， P<0.01）， and negatively correlated with CD-RISC-10 score and Family Socioeconomic Status Questionnaire score （r=-0.148， -0.229， P<0.01）. ③ The indirect effect value of difficulties in emotion regulation on the relationship between childhood maltreatment and depression was 0.091 （95% CI： 0.018~0.046）， accounting for 17.95% of the total effect. ④ The first half of the mediation model "childhood maltreatment → difficulties in emotion regulation → depression" （childhood maltreatment → difficulties in emotion regulation） was moderated by psychological resilience （β=-0.030， t=-6.147， 95% CI： -0.040~-0.020） and family socioeconomic status （β=-0.051， t=-3.929， 95% CI： -0.077~-0.026）. ConclusionChildhood maltreatment exerts both a direct effect on college students' depression and an indirect effect through emotion regulation difficulties. The childhood maltreatment → emotion regulation difficulties pathway in this mediation model is moderated by psychological resilience and family socioeconomic status. ［Funded by Qiqihar Medical University Graduate Student Innovation Fund Project （number， QYYCX2023-48）； Special Research Fund Project for Young Doctors of Qiqihar Academy of Medical Sciences （number， QMSI2021B-08）］