AIM: To investigate effects of different therapeutic methods and typical recipes on activation of ERK1/2 in Kupffer cells of rats with fatty liver.METHODS: The rat model of fatty liver was established by feeding high fat diet combinated with distillate spirit.Meanwhile Chinese medicines Shugan fang,Jianpi fang,Huoxue fang,Qushi fang,and Zonghe fang were given to treat different groups respectively.12 weeks later,the Kupffer cells were isolated from livers of control group,model group and different treatment groups by sequential in situ perfusion with collagenaseⅣ and pronase E,density gradient centrifugation,selective adherence.The expression of total ERK1/2 and phospho-ERK1/2 in Kupffer cells of control group,model group and different treatment groups were detected by Western blotting.RESULTS: The expressions of total ERK1/2 and phospho-ERK1/2 were higher in Kupffer cells from model group than those in control group(P

Objective:This paper studied the classification of syndrome and the multi-level expression method of syndrome elements, to realize the processing of syndrome name wiht computer, which could be applied to the research on traditional Chinese medicine (TCM) intelligent auxiliary diagnosis system.Methods:With the guidance of TCM theory combining the syndrome differentiation and syndrome elements theory, the syndrome elements are divided into a more fine-grained way, and the hierarchical division method and multi-level expression method of syndrome elements are put forward. Than to conduct artificial analysis on the syndrome of gynecological diseases to verify the rationality of multi-level expression of syndrome elements. Based on the multi-level expression method of syndrome elements and pattern extraction method of pattern matching,form the extraction method of syndrome elements and through the batch processing of the Clinical Diagnosis and Treatment Term of TCM& Syndrome Part to verify the accuracy of the batch processing methodexpression. Results:Guided by TCM theory, this study divided the constituent elements of syndrome names into two levels and five types containing disease location elements, disease nature elements which includes basic material, etiology, pathological state and conjunctions, based on which the syndrome splitting process is constructed. Based on this, the process of syndrome name elements separation is constructed. Artificial analysis of TCM syndrome names of menstrual diseases and infertility shows that all syndrome names can be divided into one or more disease location elements, disease nature elements, and conjunctions based on that splitting process. The accuracy rate of computer batch processing is as high as 71.4% based on that splitting process.Conclusions:The multi-level representation method of syndrome elements provides a theoretical framework for mass data processing by computer, improves the efficiency and accuracy of data processing, provides a theoretical basis for the construction of training data set of syndrome differentiation model, provides support for TCM syndrome differentiation reasoning model, and can be applied to the research of TCM intelligent auxiliary diagnosis system.

Glioma is the most common primary central nervous system tumor,mainly derived from glial cells,with strong invasiveness,easy recurrence,and poor prognosis.Glioblastoma is a high-grade glioma with the highest degree of malignancy.The clinical treatment method is mainly surgical resection,supplemented by compre-hensive treatment such as radiotherapy,chemotherapy,and electric field therapy,but the treatment effect is not satisfactory.In recent years,with the rapid development of the field of tumor immunotherapy,CD73 is a novel immune checkpoint related to adenosine metabolism,which can promote tumor progression by inhibiting anti-tumor immune responses and promoting angiogenesis.This article systematically reviews the mechanism of action of CD73 and discusses its biological role and application in glioma,aiming to provide potential treatment options for glioma patients.