Objective To investigate the effect of tripterygium glycosides on the resistance to immune rejection after allogeneic islet transplantation in mice.Methods Twenty C57BL/6 mice were treated with STZ diabetes mellitus and transplanted the islets from Balb/c mice donor,then recipient mice were randomly divided into two groups:triptolide group and model control group(n=10),and were intraperitoneal injected with tripterygium glycoside solutin and equivalent solvent of 5 mg·kg-1·d-1 for 14 days.Blood glucose and body weight were measured within 4 weeks after transplantation.Two weeks later,two groups of grafted islets were stained by HE staining and immunohistochemical staining,the expression of IL-2 protein were detected by Western blotting.Results The level of blood glucose were decreased to normal in the triptolide group and model control group after islet transplantation,but blood glucose gradually increased in the model control group after two weeks.Compared with the model control group,the inflammatory cells were less infiltrated and the immunohistochemical staining of insulin was deeper in the triptolide group.The expression of IL-2 in the triptolide group was significantly decreased(P<0.05).Conclusion Tripterygium glucoside could significantly decrease the inflammatory cell infiltration and inflammation factor expression in the allogeneic islet recipients to reduce the immune rejection and improve graft survival.

Thanks to the support of relevant national policies since 2018, Internet hospitals in China had developed rapidly. The authors sorted out the current situation of Internet hospital management and construction in China through policy document search and literature search, and found such loopholes as lack of unified supervision and process supervision, barriers between online and offline one-stop services, obsolete information interoperability and network security technology, and poor doctor-patient satisfaction and treatment efficiency. It is recommended to establish a provincial-level standardized supervision and evaluation system, explore an integrated online and offline medical service system, improve the hospital informationized operation guarantee system, promote the improvement of doctor-patient communication satisfaction system, and further promote the development of Internet hospitals in China.

Using big data and artificial intelligence to establish a multi-point monitoring, early warning, and disposal system to achieve early warning and intervention of infectious disease outbreaks is an important means of controlling the spread of the epidemic. Taking Xiaoshan district as an example, this study analyzes the monitoring contents, warning methods, and application effectiveness of the infectious disease monitoring, early warning and disposal system. Based on Xiaoshan′s health big data resources, the system starts with syndrome, disease diagnosis and etiology. Through advanced technologies such as artificial intelligence and block chain, it realizes early identification of infectious disease outbreaks, data fusion, multi-cross collaboration, and closed-loop management. It has improved the sensitivity of clustered outbreaks monitoring and the effectiveness of epidemic disposal and provided a reference for grassroots disease prevention and control departments to establish an infectious disease monitoring and early warning system.

Using big data and artificial intelligence to establish a multi-point monitoring, early warning, and disposal system to achieve early warning and intervention of infectious disease outbreaks is an important means of controlling the spread of the epidemic. Taking Xiaoshan district as an example, this study analyzes the monitoring contents, warning methods, and application effectiveness of the infectious disease monitoring, early warning and disposal system. Based on Xiaoshan′s health big data resources, the system starts with syndrome, disease diagnosis and etiology. Through advanced technologies such as artificial intelligence and block chain, it realizes early identification of infectious disease outbreaks, data fusion, multi-cross collaboration, and closed-loop management. It has improved the sensitivity of clustered outbreaks monitoring and the effectiveness of epidemic disposal and provided a reference for grassroots disease prevention and control departments to establish an infectious disease monitoring and early warning system.

Immunosuppressants are the most commonly used therapeutic means to reduce organ transplantation rejection and improve short-term clinical outcomes of patients after transplantation. However, systemic use of immunosuppressants increases the risk of opportunistic infections and the incidence of malignancies. Therefore, the efficient targeted delivery of immunosuppressants to target organs is particularly important. Lymph nodes are the main sites of transplant rejection activation. In recent years, drug delivery systems targeting lymph nodes have played an increasingly important role in the treatment of organ transplant rejection. This review briefly introduces the mechanism of action of lymph nodes in transplant rejection, and focuses on the construction of lymph node targeted drug delivery system and its application in transplant rejection, aiming to apply it in the treatment of transplant rejection toimprove patient outcomes.