Objective: To investigate the environmental contamination of norovirus in nurseries and primary/secondary schools, so as to provide a scientific basis for effective prevention and control measures. Methods: A total of 483 external environmental samples were collected from 34 cluster outbreaks of norovirus gastroenteritis in kindergartens and primary/secondary schools in Linhai City from 2021 to 2024. Pathogen detection was conducted using a rapid nucleic acid extraction kit and realtime fluorescence RT-PCR, and the results were analyzed using the χ2 test or Fishers exact test. Results: Among the collected external environmental samples, the total positive rate of surface contamination was 13.66%. The positive rates in kindergartens and primary/secondary schools were 12.20% and 15.82%, respectively. In kindergartens, the five surfaces with the highest detection rates were desks/chairs (23.33%), toilet stool troughs (20.69%), urinal troughs (12.00%), washbasins/sinks (11.11%), and toilet mops (9.38%). In primary/secondary schools, the top five were toilet stool troughs (38.30%), urinal troughs (23.53%), toilet door handles (13.04%), toilet mops (12.50%), and drinking cups (11.11%). The difference in positive detection rates among different external environments in primary/secondary schools was statistically significant (Fishers exact probability test, P<0.01). The positive detection rate in sanitary toilets was higher than that in classroom environments (χ2=17.38), while the positive detection rate in classroom environments of kindergartens was higher than that in primary/secondary schools (χ2=5.42)(P<0.05). Conclusions Norovirus exhibits a high contamination rate in nurseries and schools, particularly in restroom areas. Strengthening sanitation and disinfection in highrisk environments, and improving hygiene awareness among children and staff, are essential for the effective prevent and control of norovirus.

ObjectiveTo investigate the difference in the level of biliary calprotectin between patients with cholangiocarcinoma and those with choledocholithiasis. MethodsClinical data and bile samples were collected from 34 patients with cholangiocarcinoma and 78 patients with choledocholithiasis who were diagnosed and treated with endoscopic retrograde cholangiopancreatography in The First Affiliated Hospital of Anhui Medical University from May 2021 to September 2022. Fluorescence lateral flow immunoassay was used to measure the levels of calprotectin， hemoglobin， and lactoferrin in bile. The Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups； the Spearman correlation test was used for correlation analysis； the DeLong test was used for comparison of the area under the ROC curve （AUC）. ResultsCompared with the choledocholithiasis group， the cholangiocarcinoma group had significant increases in the levels of calprotectin ［4 795.50 （2 286.79‍ ‍—‍ ‍20 179.73） ng/mL vs 411.16 （67.03‍ ‍—‍ ‍1 991.88） ng/mL， Z=5.572， P<0.001］ and fluoride ［115.70 （109.10‍ — ‍125.50） mmol/L vs 106.60 （98.60‍ ‍—‍ ‍114.40） mmol/L， Z=2.702， P=0.007］. The patients with cholangiocarcinoma were further divided into high cholangiocarcinoma group and low cholangiocarcinoma group， and there was no significant difference between the two groups in the level of calprotectin ［3 867.71 （2 235.66‍ — ‍26 407.40） ng/mL vs 4 795.50 （2 361.15‍ — ‍13 070.53） ng/mL， Z=0.129， P>0.05］. Biliary calprotectin level was correlated with white blood cell count， hemoglobin concentration， and lactoferrin concentration in bile （r=0.316， 0.353， and 0.464， all P<0.05）. The ROC curve analysis showed that biliary calprotectin （with a sensitivity of 79.4% and a specificity of 75.6%）， blood CA19-9 （with a sensitivity of 82.4% and a specificity of 78.2%）， and their combination （with a sensitivity of 88.2% and a specificity of 73.1%） had good sensitivity and specificity in the diagnosis of cholangiocarcinoma. ConclusionThere is an increase in the level of biliary calprotectin in patients with cholangiocarcinoma， and therefore， it might become a biomarker for the diagnosis of cholangiocarcinoma.

Aim To explore the effect of kaempferol-7- 0-neohesperidoside (K70N) against prostate cancer (PCa) and the underlying mechanism. Methods The effect of K70N on the proliferation of PCa cell lines PC3, DU145, C4-2 and LNCaP was detected using CCK8 assay. The effect of K70N on migration ability of DU145 cells was determined by wound healing assay. The targets of K70N and PCa were screened from SuperPred and other databases. The common targets both related to K70N and PCa were obtained from the Venny online platform, a protein-protein interaction network (PPI) was constructed by the String and Cyto- scape. Meanwhile, the GO and KEGG functional enrichment were analyzed by David database. Then, a "drug-target-disease-pathway" network model was constructed. Cell cycle of PCa cells treated with K70N was analyzed by flow cytometry. The expressions of cycle-associated proteins including Skp2, p27 and p21 protein were detected by Western blot. Molecular docking between Skp2 and K70N was conducted by Sybyl X2. 0. Results K70N significantly inhibited the proliferation and migration of PCa cells. A total number of 34 drug-disease intersection targets were screened. The String results showed that Skp2 and p27, among the common targets, were the key targets of K70N for PCa treatment. Furthermore, GO and KEGG functional en-richment indicated that the mechanism was mainly related to the cell cycle. Flow cytometry showed that K70N treatment induced cell cycle arrest at the S phase. Compared with the control group, the protein expression level of Skp2 was significantly down-regulated, while the protein expression levels of p27 and p21 were up-regulated. The network molecular docking indicated that the ligand K70N had a good binding ability with the receptor Skp2. Conclusions K70N could inhibit the proliferation and migration of PCa cells, block the cell cycle in the S phase, which may be related to the regulation of cell cycle through the Skp2- p27/p21 signaling pathway.

Objective : To explore the effect of MPZL1 knockdown in A549 Taxol resistant (A549 / Tax) cells and whether it affect drug resistance and tumor cell stemness by regulating β-catenin． Methods : A549 and A549 / Tax cells were treated with different concentrations of doxorubicin and paclitaxel to observe the differences in drug resist- ance between the two cells．Quantitative real-time PCR (qRT-PCR) and Western blot were used to detect the MP- ZL1 expression level in A549 and A549 / Tax cells． After knockdown or overexpression of MPZL1 in A549 / Tax cells，cells were divided into control group，small hairpin RNA negative control ( sh-NC) group，MPZL1 knock- down(sh-MPZL1) group，overexpression negative control ( OE-NC) group，MPZL1 overexpression ( OE-MPZL1) group．Cell counting kit-8 ( CCK-8 ) and clone formation assay were utilized to investigate cell proliferation and clone formation ablity．Western blot assay was used to detect the protein expression after the cells treated with Wnt / β-catenin signaling inhibitor XAV939 and activator CHIR-99201 . Results : The half inhibitory concentration ( IC50 ) of doxorubicin and paclitaxel in A549 / Tax cells significantly increased compared to A549 cells(P＜0. 01) . MPZL1 presented a higher expression trend in A549 / Tax cells．The IC50 values of A549 / Tax for doxorubicin and paclitaxel were 2. 731 mg / ml and 4. 939 μg / ml after MPZL1 knockdown，compared to 4. 541 mg / ml and 13. 55 μg / ml in the NC group (P＜0. 01) ．The results of CCK-8 and clone formation assay showed that the knockdown of MPZL1 reduced the viability of cells proliferation and clonal formation ability (P＜0. 05) ．Western blot results in- dicated that the expression levels of MPZL1 protein，tumor cell stemness associated proteins ( CD44，CD133) ，β - catenin and multidrug resistance protein 1 (MDR1) ，lung resistance-related protein ( LRP) were significantly re- duced in the sh-MPZL1 group． Furthermore ，XAV939 could inhibit the expression levels of MPZL1 ，CD44， CD133，MDR1，LRP and β-catenin(P＜0. 01) ．The inhibitory effect of knockdown MPZL1 on the aforementioned proteins was significantly reversed by CHIR-99201 treatment． Conclusion MPZL1 is highly expressed in A549 / Tax cells．Knockdown MPZL1 suppresses the tumor cell stemness and proliferation，thereby reversing the drug re- sistance of doxorubicin and paclitaxel in A549 / Tax cells.

【Objective】 To establish an effective quality indicator monitoring system, scientifically and objectively evaluate the quality management level of blood banks, and achieve continuous improvement of quality management in blood bank. 【Methods】 A quality monitoring indicator system that covers the whole process of blood collection and supply was established, the questionnaire of Quality Monitoring Indicators for Blood Collection and Supply Process with clear definition of indicators and calculation formulas was distributed to 17 blood banks in Shandong. Statistical analysis of 21 quality monitoring indicators in terms of blood donation service (10 indicators), blood component preparation (7 indicators ), and blood supply (4 indicators) from each blood bank from January to December 2022 were conducted using SPSS25.0 software The differences in quality monitoring indicators of blood banks of different scales were analyzed. 【Results】 The average values of quality monitoring indicators for blood donation service process of 17 blood banks were as follows: 44.66% (2 233/5 000) of regular donors proportion, 0.22% (11/50) of adverse reactions incidence, 0.46% (23/5 000) of non-standard whole blood collection rate, 0.052% (13/25 000) of missed HBsAg screening rate, 99.42% (4 971/5 000) of first, puncture successful rate, 86.49% (173/200) of double platelet collection rate, 66.50% (133/200) of 400 mL whole blood collection rate, 99.25% (397/400) of donor satisfaction rate, 82.68% (2 067/2 500) of use rate of whole blood collection bags with bypass system with sample tube, and 1 case of occupational exposure in blood collection.There was a strong positive correlation between the proportion of regular blood donors and the collection rate of 400 mL whole blood (P<0.05). The platelet collection rate, incidence of adverse reactions to blood donation, and non-standard whole blood collection rate in large blood banks were significantly lower than those in medium and small blood banks (P<0.05). The average quality monitoring indicators for blood component preparation process of 17 blood banks were as follows: the leakage rate of blood component preparation bags was 0.03% (3/10 000), the discarding rate of lipemic blood was 3.05% (61/2 000), the discarding rate of hemolysis blood was 0.13%(13/10 000). 0.06 case had labeling errors, 8 bags had blood catheter leaks, 2.76 bags had blood puncture/connection leaks, and 0.59 cases had non-conforming consumables. The discarding rate of hemolysis blood of large blood banks was significantly lower than that of medium and small blood banks (P<0.05), and the discarding rate of lipemic blood of large and medium blood banks was significantly lower than that of small blood banks (P<0.05). The average values of quality monitoring indicators for blood supply process of 17 blood banks were as follows: the discarding rate of expired blood was 0.023% (23/100 000), the leakage rate during storage and distribution was of 0.009%(9/100 000), the discarding rate of returned blood was 0.106% (53/50 000), the service satisfaction of hospitals was 99.16% (2 479/2 500). The leakage rate of blood components during storage and distribution was statistically different with that of blood component preparation bags between different blood banks (P<0.05). There were statistically significant differences in the proportion of regular blood donors, incidence of adverse reactions, non-standard whole blood collection rate, 400 mL whole blood collection rate, double platelet collection rate, the blood bag leakage rate during preparation process, the blood components leakage rate during storage and distribution as well as the discarding rate of lipemic blood, hemolysis blood, expired blood and returned blood among large, medium and small blood banks (all P<0.05). 【Conclusion】 The establishment of a quality monitoring indicator system for blood donation services, blood component preparation and blood supply processes in Shandong has good applicability, feasibility and effectiveness. It can objectively evaluate the quality management level, facilitate the continuous improvement of the quality management system, promote the homogenization of blood management in the province and lay the foundation for future comprehensive evaluation of blood banks.

Polyethylene glycosylation(PEGylation)of recombinant protein drugs are modified by PEG.To preserve the biological activity of the prototype recombinant protein,it overcomes the drawbacks of fast metabolism,poor stability,and the need for multiple doses of the prototype protein in vivo,but also has specificity.In the case of limited guidelines for quality control,discussions are conducted on the control of raw materials used in production,process control during production,quality control of intermediate and final products,stability research,and other aspects,in order to provide reference for the control and development of recombinant protein PEGylation drugs.

Objective:To analyze the temporal distribution characteristics of hand, foot and mouth disease (HFMD) in Beijing and provide reference evidence in HFMD prevention and control.Methods:The monthly incidence data of HFMD in Beijing from 2008 to 2023 were collected from Notifiable Disease Management Information System of the Chinese Information System of Disease Control and Prevention, and the epidemiological characteristics of HFMD were analyzed by the methods of time series seasonal decomposition graph, concentration degree, and circular distribution.The WPS office software 2019 was used to clean the data, Python software 3.12 was used to analyze and make statistical charts.Results:The monthly incidence fluctuation of HFMD in Beijing from 2008 to 2015 was higher than that from 2016 to 2022. From 2016 to 2022, the fluctuation range of monthly incidence showed a gradually decreasing trend.From 2008 to 2015, the concentration ( M) was 0.58, indicating a relatively strong seasonality; the mean angle ( α) calculated by the circular distribution method was 174.95°, and the mean angle standard deviation ( s) was 60.43°. The annual incidence peak occurred on June 27, and the incidence peak period was from April 27 to August 27. From 2016 to 2019 and 2023, the M was 0.57, indicating a relatively strong seasonality. The α was 228.05°, and s was 61.44°. The annual incidence peak occurred on August 20, and the incidence peak period was from June 18 to October 21. From 2020 to 2022, the M was 0.42, indicating a seasonality, the α was 238.27° and s was 76.35°. The annual incidence peak occurred on July 15, and the incidence peak period was from June 14 to November 14. The α of 2008-2015, 2016-2019 and 2023, and 2020-2022 were tested by the Watson-Williams method and the difference was statistically significant ( F=33 443.09, P<0.001). In 2023, the M was 0.77, indicating a strong seasonality. The incidence peak occurred on September 16, and the incidence peak period was from August 5 to October 28. Conclusions:The seasonality of HFMD in Beijing was obvious from 2008 to 2023, and the incidence peak day and peak period overall had rearward shifts. It is necessary to strengthen the comprehensive analysis of the distribution characteristics at different dimensions and the comprehensive prevention and control in key areas, places, and populations during the peak incidence period.

ObjectiveBased on the network pharmacology system and quantitative spectroscopy of traditional Chinese medicine（TCM） compounds， a topological network analysis method with equilibrium constant as the core was established to further explore the interaction between allergenic components and their network targets in Shuanghuanglian injection（SHLI）， in order to provide new ideas and experimental basis for identifying and screening potential allergens of SHLI. MethodAfter one week of adaptive feeding， 72 SPF-grade SD male rats were randomly divided into blank group， SHLI standard group， Lonicerae Japonicae Flos（LJF） group， Scutellariae Radix（SR） group， Forsythiae Fructus（FF） group， and 7 groups of SHLI matching groups（groups 1-7）， with 6 rats in each group. Rats in each group were administered the drug intravenously and blood samples were taken after steady state， high performance liquid chromatography（HPLC） characterization profiles of the testing drugs and plasma components in each group were established， and the peak area changes of the drugs and plasma components in each group were calculated after the component groups were classified. Enzyme-linked immunosorbent assay（ELISA） was used to determine the changes of immunoglobulin E（IgE）， histamine（HIS）， tryptase（TPS）， total complement（CH50） and terminal complement complex（C5b-9） in animal blood samples. MATLAB R2020b v9.9.0 software was used to calculate the network balance constants of the component groups with the targets， and the eigenvalues of the matrices composed of network equilibrium constants were calculated and ranked according to their values. ResultELISA results showed that， compared with the blank group， groups 1-3 could significantly increase the IgE level， groups 1-2， groups 4-6 and SHLI standard group could significantly increase the HIS level， group 4 could significantly increase the CH50 level， groups 1， 3-4， LJF group and FF group could significantly increase the TPS level， SR group could significantly increase the C5b-9 level， and the differences were all statistically significant（P<0.05）. According to the retention time of chromatographic peaks， it was classified into 6 component groups from C1 to C6 by HPLC. The order of the network balance constants of each component group was C6>C4>C1>C5>C3>C2， indicating that C6 had the greatest effect on the allergic reaction， and was most likely to be the allergen. The sequence of eigenvalues was C2>C5b-9>C3>C1>CH50>C6>C5>IgE>TPS>C4>HIS， indicating that component group C2 had the greatest contribution to the whole network. ConclusionBased on the correlation analysis of SHLI component group and allergy-like target network， this study clarified that component group C6 may be a potential allergen in SHLI， and the component group C2 may be a key node in the mechanism of drug action， which can provide new strategies and methods for the screening of allergens in TCM injections.

Urine nontargeted metabolomics technology was developed for investigating the effect and mechanism of improving learning and memory ability in APP/PS1 mice of Psoralea corylifolia. All animal experiments were approved by the Animal Ethics Committee of Heilongjiang University of Chinese Medicine (Approval No.: 2020092502). Sixteen APP/PS1 mice were randomly divided into the model group and Psoralea corylifolia group (0.5 g·kg^-1), and eight male C57BL/6J mice of the same background were selected as control group, step-through test and novel object recognition were used as evaluation indexes. Changes in urine endogenous metabolites of mice from eachgroup were determined by ultra-high performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry (UPLC-Q-TOF-MS), and differential metabolites were screened, and metabolic pathway enrichment analysis was performed. The results of pharmacodynamic investigation showed that Psoralea corylifolia can reduce the dark incubation period and number of errors in APP/PS1 mice (P < 0.01) and improve the new object recognition index of APP/PS1 mice (P < 0.01). Metabolomics analysis identified 15 differential metabolites, and 9 differential metabolites were significantly call back by Psoralea corylifolia. Metabolic pathway analysis showed that histidine metabolism, citric acid cycle, taurine and hypotaurine metabolism and glucose metabolism were the main metabolic pathways of Psoralea corylifolia in improving learning and memory ability. These studies suggest that Psoralea corylifolia improves the learning and memory ability of APP/PS1 mice, and its mechanism may be related to improving mitochondrial dysfunction, reducing peripheral histamine level, regulating energy metabolism disorders and antioxidant levels.

Objective:To investigate the clinical value of multiparameteric quantitative ultrasound combined with a non-invasive prediction model for assessing high-risk steatohepatitis.Methods:One hundred and ninety-four cases with metabolic-associated fatty liver disease (MAFLD) who underwent liver biopsy in Huashan Hospital, Fudan University, from June 2021 to September 2022 were selected. Shear wave elastography (SWE), shear wave dispersion (SWD) imaging, and attenuation imaging (ATI) examinations were conducted in all patients before biopsy. High-risk steatohepatitis was defined as a total activity score of ≥4 in patients with steatohepatitis, hepatocellular ballooning, and liver lobular inflammation based on pathological hepatic steatosis, inflammatory activity, and fibrosis scoring system (SAF), and fibrosis stage≥F2. Binary logistic regression analysis was used to identify the factors influencing high-risk steatohepatitis. A predictive model for diagnosing high-risk steatohepatitis was constructed using R language. The DeLong test was used to compare the area under the curve between groups. Measurement data was compared between groups using the t-test or rank-sum test, and count data were compared between groups using the χ2 test. Results:There were 46 cases (23.7%) with high-risk steatohepatitis. The quantitative ultrasound parameters included elastic modulus ( OR=2.958, 95% CI: 1.889-4.883, P<0.001), dispersion coefficient ( OR=1.786, 95% CI: 1.424-2.292, P<0.001) and attenuation coefficient ( OR=42.642, 95% CI: 3.463-640.451, P=0.004). Serological indexes of fasting blood glucose ( OR=1.196, 95% CI: 1.048-1.392, P=0.011), alanine aminotransferase ( OR=1.012, 95% CI: 1.006-1.019, P<0.001), aspartate aminotransferase ( OR=1.027, 95% CI: 1.014-1.042, P<0.001), γ-glutamyl transferase ( OR=1.008, 95% CI: 1.001-1.017, P=0.041) and HDL cholesterol ( OR=0.087, 95% CI: 0.016-0.404, P=0.003) were the factors influencing its progression. The AUCs of elastic modulus, dispersion coefficient, attenuation coefficient, multiparametric ultrasound model, serological index model, and ultrasound combined with serology model for the diagnosis of high-risk steatohepatitis were 0.764, 0.758, 0.634, 0.786, 0.773 and 0.825, respectively. The results of the DeLong test showed that the ultrasound combined with the serological model was significantly better than the serological index model and the elastic modulus, dispersion coefficient, and attenuation coefficient alone ( P=0.024, 0.027, 0.038 and <0.001). Conclusion:The combination of multiparametric quantitative ultrasound is helpful for the non-invasive diagnosis of high-risk steatohepatitis and possesses great clinical significance.