Objective To explore the predictive value of radiomics for postoperative pancreatic fistula, infection, and long-term survival in patients with pancreatic ductal adenocarcinoma (PDAC). Methods 206 patients who received radical resection of pancreatic cancer in Zhongshan Hospital, Fudan University from January 2014 to December 2020 and were pathologically confirmed as PDAC after surgery were retrospectively selected, all of whom had complete surgical data and long-term follow-up data. Pyradiomics was used to analyze the enhanced CT images of all patients and extract radiomics features. LASSO dimensionality reduction combined with logistic regression analysis was used to construct a predictive model for pancreatic fistula and abdominal infection after PDAC surgery, and evaluating the model’s effectiveness using ROC curves. A long-term survival prediction model for PDAC patients was constructed using LASSO dimensionality reduction combined with Cox regression analysis, and patient risk scores were calculated. The patients were divided into high-risk and low-risk groups based on the median, and the survival curves were compared to evaluate the effectiveness of the model. The imaging omics features with the highest weight were divided into high expression group and low expression group according to the median, and the prognostic differences and clinical features were compared. Radiomics and clinical features were combined to analyze the influencing factors of long-term prognosis and construct a clinical imaging comprehensive model. Results A total of 1 595 radiomics features were extracted. A predictive model for pancreatic fistula and infection after PDAC surgery was constructed, with AUC values of 0.81 and 0.79, respectively. The PDAC long-term survival prediction model was successfully constructed, and the prognosis of the high-risk group was worse than that of the low-risk group (P<0.001). The weight of the radiomics feature “log-sigma-5-mm-3D_glszm_ZonePercentage” was 59.557. The CA19-9 level in the high expression group is higher than that in the low expression group (P=0.017), and there is a statistically significant difference in survival curves between the two groups (P=0.021). The comprehensive clinical imaging model suggested that age, AJCC stage, lymph infiltration, CA19-9 level and imaging characteristics were risk factors for long-term prognosis of PDAC patients (HR=1.028, 4.084, 2.566, 1.232 and 2.536). Conclusions The predictive model based on radiomics has good predictive performance for pancreatic fistula, infection, and long-term prognosis after PDAC surgery. Patients with high expression of the radiomics feature “log-sigma-5-mm-3D_glszm_ZonePercentage” face poorer prognosis.

In the past two decades, significant advances have been made in the treatment of pancreatic cancer.Numerous first-line treatments, such as gemcitabine combined with erlotinib, gemcitabine combined with albumin-bound paclitaxel, FOLFIRINOX, and NALIRIFOX, have emerged;surgery-centered treatment has gradually become the mains clinical strategy.However, behind these achievements, the new drugs developed with substantial funding have not extended the median survival time of patients with advanced pancreatic cancer to more than one year; the 5-year survival rate for postoperative patients remains below 30%. While harboring hope and being proactive, researchers must also soberly reflect and continually reassess our direction, in anticipation of bringing tangible clinical benefits to pancreatic cancer patients at an early date.

The incidence of pancreatic cystic neoplasms increased dramatically. The clinically optimal management guideline for pancreatic cysts has continued to improve in previous decades. Some issues in diagnosis and treatment require careful consideration and decision-making to achieve the best therapeutic effect and avoid overtreatment. This article analyzes the new progress in the differential diagnosis of pancreatic cystic tumors, surgical decision-making and scope of surgery, and long-term follow-up of patients who have not undergone surgery. In general, the current diagnosis and treatment decisions for pancreatic cystic tumors are more comprehensive and scientific as evidence becomes increasingly abundant, emphasizing the risks and benefits of precise diagnosis and treatment and balanced treatment.

In the past two decades, significant advances have been made in the treatment of pancreatic cancer.Numerous first-line treatments, such as gemcitabine combined with erlotinib, gemcitabine combined with albumin-bound paclitaxel, FOLFIRINOX, and NALIRIFOX, have emerged;surgery-centered treatment has gradually become the mains clinical strategy.However, behind these achievements, the new drugs developed with substantial funding have not extended the median survival time of patients with advanced pancreatic cancer to more than one year; the 5-year survival rate for postoperative patients remains below 30%. While harboring hope and being proactive, researchers must also soberly reflect and continually reassess our direction, in anticipation of bringing tangible clinical benefits to pancreatic cancer patients at an early date.

The incidence of pancreatic cystic neoplasms increased dramatically. The clinically optimal management guideline for pancreatic cysts has continued to improve in previous decades. Some issues in diagnosis and treatment require careful consideration and decision-making to achieve the best therapeutic effect and avoid overtreatment. This article analyzes the new progress in the differential diagnosis of pancreatic cystic tumors, surgical decision-making and scope of surgery, and long-term follow-up of patients who have not undergone surgery. In general, the current diagnosis and treatment decisions for pancreatic cystic tumors are more comprehensive and scientific as evidence becomes increasingly abundant, emphasizing the risks and benefits of precise diagnosis and treatment and balanced treatment.

Dyspepsia due to pancreatic exocrine insufficiency is a common complication after pancreatectomy； however， due to the lack of simple， efficient， and unified diagnostic methods， standardized treatment standards， and awareness of this disease among surgeons， it is difficult to get adequate diagnosis and treatment. Therefore， this article summarizes the research advances in the definition and pathogenesis of pancreatic exocrine insufficiency， the incidence rate of pancreatic exocrine insufficiency after different surgical procedures， and current diagnostic methods and treatment strategies， in order to provide a reference for further improving the diagnosis and treatment of pancreatic exocrine insufficiency after pancreatectomy.

This study aimed to explore the mechanism of how African swine fever virus (ASFV) I226R protein inhibits the cGAS-STING signaling pathway. We observed that I226R protein (pI226R) significantly inhibited the cGAS-STING-mediated type Ⅰ interferons and the interferon-stimulated genes production by dual-luciferase reporter assay system and real-time quantitative PCR. The results of co-immunoprecipitation assay and confocal microscopy showed that pI226R interacted with cGAS. Furthermore, pI226R promoted cGAS degradation through autophagy-lysosome pathway. Moreover, we found that pI226R decreased the binding of cGAS to E3 ligase tripartite motif protein 56 (TRIM56), resulting in the weakened monoubiquitination of cGAS, thus inhibiting the activation of cGAS and cGAS-STING signaling. In conclusion, ASFV pI226R suppresses the antiviral innate immune response by antagonizing cGAS, which contributes to an in-depth understanding of the immune escape mechanism of ASFV and provides a theoretical basis for the development of vaccines.
Animals ; Swine ; African Swine Fever Virus/metabolism* ; Membrane Proteins/metabolism* ; Immunity, Innate ; Nucleotidyltransferases/metabolism* ; Signal Transduction/genetics*

Objective: To determine the current prevalence of health risk behaviors among college students in Henan Province, and to conduct an in depth analysis of the impact of cumulative ecological risks on health risk behaviors, so as to provide scientific basis for promoting healthy development of adolescents. Methods: Using a multi stage stratified cluster sampling method, 9 743 college students from six universities in Henan Province were included as the research subjects from April to June 2023. A questionnaire survey was conducted using the College Student Cumulative Ecological Risk Scale and the China Urban Adolescent Health Related Behavior Survey Questionnaire (University Version). Data were analyzed by descriptive statistical analysis, Chi square test and binary Logistic regression. Results: The reporting rates of unhealthy eating behavior, unhealthy weight loss behaviors, lack of physical activity, daily risk behaviors, negative emotions, current smoking behavior current drinking behaviors, Internet addiction emotions and dangerous sexual behaviors among college students in Henan Province were 40.2%, 39.5%, 76.0%, 13.7%, 28.1%, 11.3%, 12.7%, 5.9% and 2.2%, respectively. The reporting rates of negative emotions, current smoking behaviors, current drinking behaviors, dangerous sexual behaviors and daily risk behaviors of college students were higher in boys than in girls ( χ 2=44.00, 995.20, 902.49, 121.95, 103.09, P <0.05). In terms of reporting rates of unhealthy diet, unhealthy weight loss and lack of exercise behavior, girls were higher than boys ( χ 2=107.59, 13.01, 145.83, P <0.05). Cumulative ecological risk was positively correlated with overall health risk behaviors. For every unit increase in the cumulative ecological risk index, the risk of health risk behaviors among college students increased by 48%. Conclusions The prevalence of health risk behaviors among college students is relatively common. It should adrocate for a healthy lifestyle, reduce the cumulative ecological risk and the occurrence of health risk behaviors to promote the healthy development of adolescents.

Intraductal papillary mucinous neoplasm (IPMN) is the most common pancreatic cystic neoplasm with a tendency to malignancy,and the 5-year survival rate of patients with invasive IPMN is less than 40%. Therefore,early detection of malignant cases and surgical intervention will significantly improve patient outcomes. The clinical guidelines recommended risk factors for IPMN malignancy according to imaging characteristics,clinical manifestations and serum tumor markers,among which dilation of the main pancreatic duct≥10 mm,the presence of solid components or enhanced mural nodules,and obstructive jaundice were recognized as high-risk factors. However,clinical practice has shown that the risk factors recommended by the current guidelines are not highly accurate in predicting IPMN malignancy,and the main problem is that the guidelines are less specific and allow follow-up cases to undergo unnecessary surgical resection. In recent years,the development of new technologies and methods such as genomics,radiomics,and artificial intelligence has greatly promoted the research progress of IPMN. Endoscopic ultrasound-guided fine needle aspiration of cystic fluid combined with molecular detection such as DNA and RNA,as well as radiomics combined with machine learning modeling,have shown superiority in improving the prediction accuracy of malignant IPMN,and will become an important tool to assist the diagnosis and treatment of IPMN in the future.

Intraductal papillary mucinous neoplasm (IPMN) is the most common pancreatic cystic neoplasm with a tendency to malignancy,and the 5-year survival rate of patients with invasive IPMN is less than 40%. Therefore,early detection of malignant cases and surgical intervention will significantly improve patient outcomes. The clinical guidelines recommended risk factors for IPMN malignancy according to imaging characteristics,clinical manifestations and serum tumor markers,among which dilation of the main pancreatic duct≥10 mm,the presence of solid components or enhanced mural nodules,and obstructive jaundice were recognized as high-risk factors. However,clinical practice has shown that the risk factors recommended by the current guidelines are not highly accurate in predicting IPMN malignancy,and the main problem is that the guidelines are less specific and allow follow-up cases to undergo unnecessary surgical resection. In recent years,the development of new technologies and methods such as genomics,radiomics,and artificial intelligence has greatly promoted the research progress of IPMN. Endoscopic ultrasound-guided fine needle aspiration of cystic fluid combined with molecular detection such as DNA and RNA,as well as radiomics combined with machine learning modeling,have shown superiority in improving the prediction accuracy of malignant IPMN,and will become an important tool to assist the diagnosis and treatment of IPMN in the future.