Objective:To explore the characteristics of systemic immune microenvironment during the progression of dextran sulfate sodium(DSS)-induced acute ulcerative colitis(UC)induced in mice by Mass cytometry(CyTOF).Methods:Male C57BL/6 mice were randomly divided into control group and model group.The control group was given normal drinking water for 15 d.The mouse in the model group were given 5%DSS in drinking water,which was changed to normal drinking water after 7 days.In the model group,peripheral blood was collected on days 4,9 and 15,respectively.CyTOF was used to detect the expressions of 33 immune cell markers and changes in cell subsets in peripheral blood of mice,and the characteristics of systemic immune microenvironment in mice with acute UC were analyzed.Results:The cluster analysis of 33 kinds of immune cell markers showed that CD45+cells in peripheral blood of mice with DSS induced acute UC were divided into 23 fine subgroups,among which the proportions of B cell subgroup,T cell subgroup and neutrophil subgroup showed significant changes.A further dimensional reduction cluster analysis of T cell subsets found significant differences in the composition and proportion of the 10 identified T cell subsets.Conclusion:The systemic immune micro-environment map of mice with acute UC induced by DSS has been successfully constructed,and heterogeneity has been found in the systemic immune microenvironment of mice with acute UC.The changes and activation degree of T cell subpopulations are closely re-lated to disease progression and inflammation level.The results of this study provide theoretical basis for assisting the diagnosis,moni-toring the risk,progression,treatment and prognosis of acute UC.

Objective:To explore the characteristics of systemic immune microenvironment during the progression of dextran sulfate sodium(DSS)-induced acute ulcerative colitis(UC)induced in mice by Mass cytometry(CyTOF).Methods:Male C57BL/6 mice were randomly divided into control group and model group.The control group was given normal drinking water for 15 d.The mouse in the model group were given 5%DSS in drinking water,which was changed to normal drinking water after 7 days.In the model group,peripheral blood was collected on days 4,9 and 15,respectively.CyTOF was used to detect the expressions of 33 immune cell markers and changes in cell subsets in peripheral blood of mice,and the characteristics of systemic immune microenvironment in mice with acute UC were analyzed.Results:The cluster analysis of 33 kinds of immune cell markers showed that CD45+cells in peripheral blood of mice with DSS induced acute UC were divided into 23 fine subgroups,among which the proportions of B cell subgroup,T cell subgroup and neutrophil subgroup showed significant changes.A further dimensional reduction cluster analysis of T cell subsets found significant differences in the composition and proportion of the 10 identified T cell subsets.Conclusion:The systemic immune micro-environment map of mice with acute UC induced by DSS has been successfully constructed,and heterogeneity has been found in the systemic immune microenvironment of mice with acute UC.The changes and activation degree of T cell subpopulations are closely re-lated to disease progression and inflammation level.The results of this study provide theoretical basis for assisting the diagnosis,moni-toring the risk,progression,treatment and prognosis of acute UC.

Imaging mass cytometry(IMC)is a new technology integrating mass spectrometry,high-resolution laser ablation and immunohistochemistry/cytochemistry.With a unique high-dimensional perspective to comprehensively and accurately depict the complex phenotypes,signaling pathways,and tumor immune interactions in the tissue and tumor microenvironment,is widely used in gastrointestinal tumors.This article reviews the application of IMC in depicting the panorama of tumor microenvironment,revealing tu-mor spatial heterogeneity,clarifying tumor pharmacological mechanism,assisting new drug development,and evaluating the efficacy of immunotherapy dynamically in digestive system tumors.

Traditional drugs for the treatment of abdominal tumors often do not have the ability to target tumors and destroy normal cells while killing tumor cells. Therefore, new therapies are urgently needed to accurately target and kill tumor cells. As a drug carrier, extracellular vesicles have the advantages of naturalness, biotaxis, and low side effects, so they have attracted much attention in the research on the treatment of abdominal tumors. In this paper, the research progress in mechanism of action of extracellular vesicle drug delivery system in the treatment of abdominal tumors such as gastric, liver, pancreatic, bile duct, colorectal, and ovarian cancers with an extracellular vesicle drug delivery system was reviewed, including inhibiting the growth of abdominal tumor cells, reversing the drug resistance of the tumor stem cells, inhibiting the exocytosis of chemotherapeutic drugs from the tumor cells, and remodeling the tumor immune microenvironment.

Severe acute pancreatitis(SAP)is characterized by rapid onset and progression,complex clinicopathological changes,and a mortality rate of as high as 20%—30%.Long-term clinical practice and basic research have shown that relying solely on Western medicine for the treatment of SAP may not achieve satisfactory outcomes,and integrated traditional Chinese and Western medicine therapy has a marked clinical effect and significant advantages.Based on evidence-based medicine and with reference to related guidelines and clinical practice in China and globally,these guidelines summarize 28 clinical questions after widely soliciting opinions and suggestions from experts.This document specifically elaborates on the etiology,pathogenesis,and diagnostic criteria of SAP,as well as the key points of integrated traditional Chinese and Western medicine typing,disease staging,treatment methods,and therapies,so as to standardize the integrated traditional Chinese and Western medicine diagnostic criteria and treatment principles of SAP.

Tumor-associated macrophages(TAMs)are the predominant cell group in the tumor microenvironment(TME)and are the most important regulatory cells of immune system suppression and tumor cell proliferation in TIME.Src homology-2 domain-containing protein tyrosine phosphatase 2(SHP-2)is a non-receptor protein tyrosine phosphatase that plays an important role in the transmission of signals from the cell surface to the nucleus.SHP-2 is a key intracellular regulatory factor mediating cell proliferation and differentiation and is involved in a variety of growth factor and cytokine signaling pathways linking the cell surface to the nucleus.Recent studies have shown that SHP-2 is a key enzyme in determining the function of TAMs,but because of its variable function,it plays different or even opposite roles in different solid TMEs.This paper reviews the function of SHP-2 in TAMs and related solid tumors to provide a comprehensive reference for tumor immunity and targeted therapy research.

The COVID-19 epidemic has spread to the whole world for three years and has had a serious impact on human life, health and economic activities. China's epidemic prevention and control has gone through the following stages: emergency unconventional stage, emergency normalization stage, and the transitional stage from the emergency normalization to the "Category B infectious disease treated as Category B" normalization, and achieved a major and decisive victory. The designated hospitals for prevention and control of COVID-19 epidemic in Tianjin has successfully completed its tasks in all stages of epidemic prevention and control, and has accumulated valuable experience. This article summarizes the experience of constructing a hospital infection prevention and control system during the "Category B infectious disease treated as Category A" period in designated hospital. The experience is summarized as the "Cluster" hospital infection prevention and control system, namely "three rings" outside, middle and inside, "three districts" of green, orange and red, "three things" before, during and after the event, "two-day pre-purification" and "two-director system", and "one zone" management. In emergency situations, we adopt a simplified version of the cluster hospital infection prevention and control system. In emergency situations, a simplified version of the "Cluster" hospital infection prevention and control system can be adopted. This system has the following characteristics: firstly, the system emphasizes the characteristics of "cluster" and the overall management of key measures to avoid any shortcomings. The second, it emphasizes the transformation of infection control concepts to maximize the safety of medical services through infection control. The third, it emphasizes the optimization of the process. The prevention and control measures should be comprehensive and focused, while also preventing excessive use. The measures emphasize the use of the least resources to achieve the best infection control effect. The fourth, it emphasizes the quality control work of infection control, pays attention to the importance of the process, and advocates the concept of "system slimming, process fattening". Fifthly, it emphasizes that the future development depends on artificial intelligence, in order to improve the quality and efficiency of prevention and control to the greatest extent. Sixth, hospitals need to strengthen continuous training and retraining. We utilize diverse training methods, including artificial intelligence, to ensure that infection control policies and procedures are simple. We have established an evaluation and feedback mechanism to ensure that medical personnel are in an emergency state at all times.

Cholangiocarcinoma originates from bile duct epithelial cells and is a highly heterogeneous and aggressive malignant tumour. A deep understanding of the biological characteristics of the tumor can help to make progress in the treatment of cholangiocarcinoma. There are many types of animal models of cholangiocarcinoma, and different models can be induced according to different research purposes, including chemotoxic agent models, cholestatic models, implantation models, genetically engineered models, etc. This paper summarises the existing animal models of cholangiocarcinoma, compares their advantages and disadvantages as well as the application scenarios, and provides a reference for subsequent studies.

ObjectiveIn view of the standardization of clinical diagnosis and treatment of the acute abdomen and the inheritance of diagnosis and treatment experience of prestigious veteran traditional Chinese medicine（TCM） doctors， a diagnosis and treatment reasoning algorithm based on association rule mining under incomplete evidence（AMIE）+ random walk was proposed to provide information services and technical support for primary doctors by recommending personalized diagnosis and treatment plans based on medical records. MethodThe experience of diagnosis and treatment of acute abdomen of prestigious veteran TCM doctors and the text data of clinical diagnosis and treatment guidelines of integrated TCM and western medicine were collected to complete the task of knowledge extraction and construct acute abdomen knowledge graph based on Neo4j. On the basis of ontology-supported rule-based reasoning， the rule reasoning based on similar syndromes was used to expand the syndrome combinations whose Jaccard similarity was greater than the threshold in the syndrome recommendation results. The semantic path coverage algorithm was used to calculate the semantic similarity between the symptom nodes. The symptom nodes were divided into 10 categories， and the symptom nodes in the same category were extended. The random walk algorithm was used to search the symptom nodes connected with the syndrome， and the connection rules between the syndrome and symptom nodes were extended to realize the knowledge reasoning of AMIE+ random walk. ResultThe acute abdomen knowledge graph included 1 320 nodes and 2 464 relationships. According to the link prediction evaluation index of knowledge reasoning， the reasoning results of the three algorithms in the auxiliary diagnosis and treatment of acute abdomen were compared. The AMIE+ random walk algorithm complemented the knowledge graph by extending the similar syndrome connection rules and the syndrome-symptom connection rules. Compared with the knowledge reasoning algorithm based on ontology rules， the area under the curve （AUC） was 15.18% higher and the accuracy was 30.36% higher， which achieved more accurate and effective knowledge inference. ConclusionThis study used knowledge graph technology to visualize the diagnosis and treatment of acute abdomen with TCM and western medicine， assisting primary clinicians in intuitively viewing the diagnosis and treatment process and data relationship. The proposed diagnosis and treatment reasoning algorithm can realize the personalized diagnosis and treatment plan recommendation at the level of "disease-syndrome-diagnosis-treatment-prescription"， which can assist primary doctors in disease diagnosis and treatment and clinical decision-making， contribute to the knowledge sharing and application of diagnosis and treatment experience and clinical guidelines of prestigious veteran TCM doctors， improve the level of primary clinical diagnosis and treatment， and promote the normalization and standardization of the diagnosis and treatment process of acute abdomen with integrated TCM and western medicine.

Neutrophils are the most abundant circulating leukocyte type in humans and comprise the host's first line of cellular defense against foreign pathogens invasion. On the other hand, neutrophils are the main mediators of tissue damage induced by acute and chronic inflammation. They were once considered to be short-lived, low transcriptional activity, and terminally differentiated homogeneous leucocytes that failed to return to circulation from tissue. However, more evidence has demonstrated that neutrophils can develop into different sub-populations with phenotypic heterogeneity and functional versatility under physiology and pathological conditions. This review summarizes the phenotypic and functional heterogeneity of neutrophils in sepsis and tumor genesis.