Objective To investigate the expression of nuclear factor-κB (NF-κB) and p53 up-regulated modulator of apoptosis (PUMA) in acute lung injury (ALI) induced by severe acute pancreatitis (SAP), and the therapeutic role of proline dithiocarbamate (PDTC). Method SD rats weighed 200～ 250 g were randomly(random number) divided into sham operation group (A group, n = 18), ALI group (B group, n = 18) and PDTC treatment group (C group, n = 18). The model of SAP was eastablished by injecting 1 mL/kg of sodium tauarocholate into the pancreatic capsule of the rats in B group and C group. The model rats in C group were treated with PDTC one hour after modeling. Six rats of each group were sacrificed 6 h,12 h, and 24 hours after modeling. The histopathological changes in lung and pancreas were observed. The levels of NF-κB p65 and PUMA in lung were detected by using Western blotting, and the expressions of bcl-2, bax and caspase-3 mRNA in the lung were detected by using RT-PCR. The lung tissue was taken for examination under transmission electron microscope. TUNEL was used for detection of apoptotic alveolar epithelial cells. Results Six to 24 hours after modeling, the pathological scores in lung of ALI group were significantly higher than those of control group and PDTC group after sodium taurocholate injection ( P ＜ 0.05). The levels of NF-κB p65 and PUMA, and the expressions of bax and caspase3 mRNA in ALI group at different intervals were higher than those in control group and PDTC group ( P ＜ 0.05),whereas the expression of bcl-2 mRNA in ALI group was lower than that in control group and PDTC group ( P ＜0.05). The NF-κB p65 was correlated closely and positively with PUMA ( r= 0.987, P ＜ 0.01). Higher activity of caspase-3 acrtive units was seen in ALI group than that in control group and PDTC group ( P ＜ 0.05). The microvilli disappeared in ALI group 24 hours later. The apoptosis index in ALI group was higher than that in control group and PDTC group ( P ＜ 0.05). Conclusions The apoptosis of alveolar epithelial cells of rats in ALI group is caused by PUMA activated by NF-κB. PDTC treatment can inhibit apoptosis of alveolar epithelial cells of rats in ALI group by inhibiting the activation of NF-κB.

Objective:To investigate the role and possible molecular mechanisms of m6A methyltransferase METTL3 and demethylase FTO in H7N9 virus infection.Methods:Western blot(WB) was used to detect the expression of METTL3 and FTO after H7N9 virus infected A549 cells. After knocking down and over-expressing METTL3 and FTO, H7N9 virus infection was tested by WB and TCID 50 for its effect on virus replication. Transcriptome sequencing method were used to analyze differentially expressed genes at the transcriptome level in METTL3 or FTO knockdown and wild-type control cells, and preliminary analysis of potential targets was performed. Results:After 24 h of H7N9 virus infection in A549 cells, METTL3 expression was up-regulated, and FTO did not significantly change. After knocking down METTL3 and FTO, the virus nucleoprotein (NP) expression level and virus titer decreased significantly. Consistent with the result of the knockdown experiments, we found that the viral titer was increased by METTL3 and FTO overexpression. Transcriptome sequencing result showed that 314 and 555 differentially expressed genes were found between the METTL3 or FTO knockdown group and the control group, respectively. GO functional enrichment analysis and KEGG pathway enrichment analysis showed that these genes were related to the host immune response.Conclusions:METTL3 and FTO may play a key role in H7N9 virus infection by regulating host-virus interactions.

Objective: To analyze the monitoring results and characteristics of human metapneumovirus (HMPV) outbreaks in Shenzhen in kindergartens and schools during 2017-2023, so as to provide a evidence for prevention and control of respiratory diseases. Methods: Based on the epidemiological data and laboratory test results of HMPV outbreaks in kindergartens and schools of Shenzhen during 2017 to 2023, collected from the influenza monitoring network platform, Mann Kendall test was applied for trend analysis pf HMPV. Results: A total of 11 HMPV outbreaks were identified in kindergartens and schools from 2017 to 2023 for 128 cases with an average incidence rate of 26.61% in 2018. The most yearly HMPV outbreaks were reported in 2020 being 4 outbreaks, followed by 2 outbreaks in 2018. A total of 72.73% (8 outbreaks) of HMPV outbreaks were identified in kindergartens with 27.27% (3 outbreaks) occurring in primary schools. The monthly greatest count of outbreak was 3(27.27%) in March and December, followed by 2 outbreaks (18.18%) in April and June. A total of 98 swab samples were collected, and 80 samples were positive for respiratory viruses with a positive rate of 81.63%; among them, 67 samples were positive for HMPV alone, 10 samples were positive for other respiratory viruses alone, and 3 samples were positive both for HMPV and other respiratory virus. Among the 11 human metalung virus cases, 6 HMPV outbreaks were caused by human metapneumovirus alone, and 5 outbreaks were caused by HMPV and other respiratory viruses. Except for 2020, the percentage of HMPV outbreaks in influenza like illness outbreaks increased with year ( Z=2.25, P =0.02). Conclusion HMPV outbreaks have been reported every year from 2017 to 2023 in kindergartens and schools in Shenzhen, most of HMPV in kindergartens, and the peak seasons of HMPV outbreaks are spring and winter.

Objective:To investigate the effectiveness of an enhanced CT automatic recognition system based on Faster R-CNN for pancreatic cancer and its clinical value.Methods:In this study, 4 024 enhanced CT imaging sequences of 315 patients with pancreatic cancer from January 2013 to May 2016 at the Affiliated Hospital of Qingdao University were collected retrospectively, and 2 614 imaging sequences were input into the faster R-CNN system as training dataset to create an automatic image recognition model, which was then validated by reading 1 410 enhanced CT images of 135 cases of pancreatic cancer.In order to identify its effectiveness, 3 750 CT images of 150 patients with pancreatic lesions were read and a followed-up was carried out.The accuracy and recall rate in detecting nodules were recorded and regression curves were generated.In addition, the accuracy, sensitivity and specificity of Faster R-CNN diagnosis were analyzed, the ROC curves were generated and the area under the curves were calculated.Results:Based on the enhanced CT images of 135 cases, the area under the ROC curve was 0.927 calculated by Faster R-CNN. The accuracy, specificity and sensitivity were 0.902, 0.913 and 0.801 respectively.After the data of 150 patients with pancreatic cancer were verified, 893 CT images showed positive and 2 857 negative.Ninety-eight patients with pancreatic cancer were diagnosed by Faster R-CNN.After the follow-up, it was found that 53 cases were post-operatively proved to be pancreatic ductal carcinoma, 21 cases of pancreatic cystadenocarcinoma, 12 cases of pancreatic cystadenoma, 5 cases of pancreatic cyst, and 7 cases were untreated.During 5 to 17 months after operation, 6 patients died of abdominal tumor infiltration, liver and lung metastasis.Of the 52 patients who were diagnosed negative by Faster R-CNN, 9 were post-operatively proved to be pancreatic ductal carcinoma.Conclusion:Faster R-CNN system has clinical value in helping imaging physicians to diagnose pancreatic cancer.

Objective:To explore the feasibility of using faster regional convolutional neural network (Faster R-CNN) to evaluate the status of circumferential resection margin (CRM) of rectal cancer in the magnetic resonance imaging (MRI).Methods:This study was registered in the Chinese Clinical Trial Registry (ChiCTR-1800017410). Case inclusion criteria: (1) the positive area of CRM was located between the plane of the levator ani, anal canal and peritoneal reflection; (2) rectal malignancy was confirmed by electronic colonoscopy and histopathological examination; (3) positive CRM was confirmed by postoperative pathology or preoperative high-resolution MRI. Exclusion criteria: patients after neoadjuvant therapy, recurrent cancer after surgery, poor quality images, giant tumor with extensive necrosis and tissue degeneration, and rectal tissue construction changes in previous pelvic surgery. According to the above criteria, MRI plain scan images of 350 patients with rectal cancer and positive CRM in The Affiliated Hospital of Qingdao University from July 2016 to June 2019 were collected. The patients were classified by gender and tumor position, and randomly assigned to the training group (300 cases) and the validation group (50 cases) at a ratio of 6:1 by computer random number method. The CRM positive region was identified on the T2WI image using the LabelImg software. The identified training group images were used to iteratively train and optimize parameters of the Faster R-CNN model until the network converged to obtain the best deep learning model. The test set data were used to evaluate the recognition performance of the artificial intelligence platform. The selected indicators included accuracy, sensitivity, positive predictive value, receiver operating characteristic (ROC) curves, areas under the ROC curves (AUC), and the time taken to identify a single image.Results:The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the CRM status determined by the trained Faster R-CNN artificial intelligence approach were 0.884, 0.857, 0.898, 0.807, and 0.926, respectively; the AUC was 0.934 (95% CI: 91.3% to 95.4%). The Faster R-CNN model's automatic recognition time for a single image was 0.2 s.Conclusion:The artificial intelligence model based on Faster R-CNN for the identification and segmentation of CRM-positive MRI images of rectal cancer is established, which can complete the risk assessment of CRM-positive areas caused by in-situ tumor invasion and has the application value of preliminary screening.

Objective:To explore the feasibility of using faster regional convolutional neural network (Faster R-CNN) to evaluate the status of circumferential resection margin (CRM) of rectal cancer in the magnetic resonance imaging (MRI).Methods:This study was registered in the Chinese Clinical Trial Registry (ChiCTR-1800017410). Case inclusion criteria: (1) the positive area of CRM was located between the plane of the levator ani, anal canal and peritoneal reflection; (2) rectal malignancy was confirmed by electronic colonoscopy and histopathological examination; (3) positive CRM was confirmed by postoperative pathology or preoperative high-resolution MRI. Exclusion criteria: patients after neoadjuvant therapy, recurrent cancer after surgery, poor quality images, giant tumor with extensive necrosis and tissue degeneration, and rectal tissue construction changes in previous pelvic surgery. According to the above criteria, MRI plain scan images of 350 patients with rectal cancer and positive CRM in The Affiliated Hospital of Qingdao University from July 2016 to June 2019 were collected. The patients were classified by gender and tumor position, and randomly assigned to the training group (300 cases) and the validation group (50 cases) at a ratio of 6:1 by computer random number method. The CRM positive region was identified on the T2WI image using the LabelImg software. The identified training group images were used to iteratively train and optimize parameters of the Faster R-CNN model until the network converged to obtain the best deep learning model. The test set data were used to evaluate the recognition performance of the artificial intelligence platform. The selected indicators included accuracy, sensitivity, positive predictive value, receiver operating characteristic (ROC) curves, areas under the ROC curves (AUC), and the time taken to identify a single image.Results:The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the CRM status determined by the trained Faster R-CNN artificial intelligence approach were 0.884, 0.857, 0.898, 0.807, and 0.926, respectively; the AUC was 0.934 (95% CI: 91.3% to 95.4%). The Faster R-CNN model's automatic recognition time for a single image was 0.2 s.Conclusion:The artificial intelligence model based on Faster R-CNN for the identification and segmentation of CRM-positive MRI images of rectal cancer is established, which can complete the risk assessment of CRM-positive areas caused by in-situ tumor invasion and has the application value of preliminary screening.

Objective:To investigate the effectiveness of an enhanced CT automatic recognition system based on Faster R-CNN for pancreatic cancer and its clinical value.Methods:In this study, 4 024 enhanced CT imaging sequences of 315 patients with pancreatic cancer from January 2013 to May 2016 at the Affiliated Hospital of Qingdao University were collected retrospectively, and 2 614 imaging sequences were input into the faster R-CNN system as training dataset to create an automatic image recognition model, which was then validated by reading 1 410 enhanced CT images of 135 cases of pancreatic cancer.In order to identify its effectiveness, 3 750 CT images of 150 patients with pancreatic lesions were read and a followed-up was carried out.The accuracy and recall rate in detecting nodules were recorded and regression curves were generated.In addition, the accuracy, sensitivity and specificity of Faster R-CNN diagnosis were analyzed, the ROC curves were generated and the area under the curves were calculated.Results:Based on the enhanced CT images of 135 cases, the area under the ROC curve was 0.927 calculated by Faster R-CNN. The accuracy, specificity and sensitivity were 0.902, 0.913 and 0.801 respectively.After the data of 150 patients with pancreatic cancer were verified, 893 CT images showed positive and 2 857 negative.Ninety-eight patients with pancreatic cancer were diagnosed by Faster R-CNN.After the follow-up, it was found that 53 cases were post-operatively proved to be pancreatic ductal carcinoma, 21 cases of pancreatic cystadenocarcinoma, 12 cases of pancreatic cystadenoma, 5 cases of pancreatic cyst, and 7 cases were untreated.During 5 to 17 months after operation, 6 patients died of abdominal tumor infiltration, liver and lung metastasis.Of the 52 patients who were diagnosed negative by Faster R-CNN, 9 were post-operatively proved to be pancreatic ductal carcinoma.Conclusion:Faster R-CNN system has clinical value in helping imaging physicians to diagnose pancreatic cancer.

Objective To investigate the safety and feasibility of transumbilical single-site laparoscopic treatment of Meckel's diverticulum in children.Methods A total of 122 patients with Meckel's diverticulum were treated with transumbilical single-site laparoscopic treatment in our department from January 2019 to June 2023.A longitudinal incision was made through the umbilical cord,and 5 mm trocars were inserted into the left and right sides of the incision.The laparoscope and non-invasive intestinal forceps were inserted via the observation and operation holes to probe the abdominal cavity and locate the diverticulum.After the umbilical cord incision was expanded,the diverticulum was pulled out from the abdominal cavity for external resection and anastomosis.Results All the 122 children were diagnosed by laparoscopy.There were 4 cases who were diagnosed as having acute gangrenous appendicitis preoperatively,but were confirmed as having Meckel's diverticulum with perforation under laparoscope intraoperatively.There were 38 cases of lower digestive tract bleeding,48 cases of inflammatory reaction,12 cases of intussusception,8 cases of intestinal obstruction caused by cord and band compression,and 12 cases of peritonitis caused by perforation.All the operations were successfully completed,and the operation time was 58-125 min,with an average of 78 min.Pathological examination after surgery showed Meckel's diverticulum in all the cases.Two cases of incision infection were cured after dressing change treatment.The patients were given a liquid diet 2-4 d after surgery and discharged 5-9 d later.A total of 119 patients were followed up for 3-18 months after surgery,and the surgical results were satisfactory.There were no serious complications such as rectal bleeding,anastomotic stenosis,adhesive intestinal obstruction,or incisional hernia after surgery.Conclusions Transumbilical single-site laparoscopic treatment of Meckel's diverticulum in children is safe and feasible.Meckel's diverticulum combined with perforation or intestinal obstruction is not a contraindication of transumbilical single-site laparoscopic surgery.

Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among cases presenting with influenza-like illness (ILI) in Shenzhen City from 2019 to 2023.Methods:Respiratory specimens were collected from two national sentinel hospitals in Shenzhen from March 2019 to December 2023, specifically targeting cases of ILI. The real-time PCR method was used for the detection and genotyping of HRSV. Basic demographic information was collected and used for the epidemiological analysis.Results:A total of 9 278 respiratory specimens of influenza-like cases were collected and detected, with a total positive rate of 4.77% (443/9 278) for HRSV. In 2021 (8.48%, 167/1 970), the positive rate of HRSV was significantly higher than in 2019 (3.35%, 52/1 552), 2022 (1.80%, 39/2 169), and 2023 (4.49%, 133/2 960), and the difference was statistically significant ( χ 2=102.395, P<0.001). The prevalence of HRSV was mainly in summer and early autumn (September), and there was an abnormal increase in the positive rate of HRSV in winter 2022. The highest positive rate of HRSV was in children under five years old (9.84%, 330/335). The typing results showed that in 2022, the prevalence of HRSV-A was predominant (71.79%, 28/39), and in 2023, HRSV-A and HRSV-B subtypes coexisted. Conclusions:The prevalence of HRSV in Shenzhen from 2019 to 2023 has obvious seasonality, mainly in summer and early autumn. Children under five years old are the main population of HRSV infections.

Objective:To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among cases presenting with influenza-like illness (ILI) in Shenzhen City from 2019 to 2023.Methods:Respiratory specimens were collected from two national sentinel hospitals in Shenzhen from March 2019 to December 2023, specifically targeting cases of ILI. The real-time PCR method was used for the detection and genotyping of HRSV. Basic demographic information was collected and used for the epidemiological analysis.Results:A total of 9 278 respiratory specimens of influenza-like cases were collected and detected, with a total positive rate of 4.77% (443/9 278) for HRSV. In 2021 (8.48%, 167/1 970), the positive rate of HRSV was significantly higher than in 2019 (3.35%, 52/1 552), 2022 (1.80%, 39/2 169), and 2023 (4.49%, 133/2 960), and the difference was statistically significant ( χ 2=102.395, P<0.001). The prevalence of HRSV was mainly in summer and early autumn (September), and there was an abnormal increase in the positive rate of HRSV in winter 2022. The highest positive rate of HRSV was in children under five years old (9.84%, 330/335). The typing results showed that in 2022, the prevalence of HRSV-A was predominant (71.79%, 28/39), and in 2023, HRSV-A and HRSV-B subtypes coexisted. Conclusions:The prevalence of HRSV in Shenzhen from 2019 to 2023 has obvious seasonality, mainly in summer and early autumn. Children under five years old are the main population of HRSV infections.