Objective:To observe dynamic change of phosphorylated tau protein and non phosphorylated tau protein in axon and explore whether GSK3 in serum were related with phosphorylated tau protein in brain of EAE mice.Methods: Mice were randomly divided into six groups:EAE group of acute stage,EAE group of paralytic stage,EAE group of remission stage,control group of acute stage,control group of paralytic stage,control group of remission stage,each group had twelve mice.EAE model were constructed by MOG35-55 peptides in EAE group, the saline was used in control group.The nerve function scores and incidence were observed and compared.We observed degree of brain inflammation by HE staining and measured axons which contained two kinds of tau protein by immunohistochemistry.GSK3 in serum was tested to find correlation with phosphorylated tau protein in brain by ELISA method.Results:Nerve function scores in EAE group were higher than control group.The degree of inflammation damage was more serious in EAE group than control group,gradually enhancing with time.Phosphorylated tau protein in brain gradually increased before mice paralyzing(P<0.01),but it decreased when symptom relieved(P<0.01).GSK3 in serum were correlated with phosphorylated tau protein in brain(r=0.9326,P<0.01),linear regression equation:Y=2.950+0.418X.Conclusion:Phosphorylated tau protein in brain are correlated with axon damage and GSK3 in serum could indirectly reflect axon damage in brain.

2019-nCoV has spread rapidly around the world, posing a major threat to global public health systems. This is the third time that a highly pathogenic coronavirus has emerged in the human population during the past 20 years. Researchers have conducted a number of studies since the coronavirus epidemic broke out, but there are no specific drugs or vaccines for coronavirus. Therefore, further systematic research on coronavirus is still needed. This review focused on the structure, life cycle and pathogenesis of coronavirus and summarized the current progress in detection approaches, treatment strategies and vaccines for COVID-19 with a view to provide references for further research.

Osteosarcoma is a malignant tumor with extreme invasiveness and metastasis as well as dismal prognosis. It is critical to rapidly find a unique therapy strategy capable of significantly improving the prognosis of osteosarcoma. Tumor immunotherapy has the potential to reawaken the immune system, restart and sustain the tumor-immune cycle in the body, resulting in the death of tumor cells. CD8+ CTL, CD4+ T cells, NK cells and NKT cells all play critical roles in tumor immunity, while humoral immunity may not only inhibit tumor growth but also enhance it. Researchers have devised various strategies to boost the immune system in recent years based on tumor immune response studies. This paper highlights and examines osteosarcoma immunotherapy from two perspectives: (1) boosting the response of patient's own immune system to the tumor; (2) exogenously improving the patient's immunological function.

Objective To investigate the value of dual-energy CT quantitative parameters combined with CT features for predicting perineural invasion(PNI)of colorectal adenocarcinoma.Methods Preoperative whole-abdominal CT data of 79 patients with colorectal adenocarcinoma confirmed by postoperative pathology were retrospectively analyzed.The patients were divided into PNI group(n=31)or no PNI group(n=48).Univariate analysis was used to compare CT features and dual-energy CT quantitative parameters between groups,and the variables with significant differences were included in binary logistic regression analysis to construct a combined model.Receiver operating characteristic(ROC)curves were drawn and area under the curve(AUC)were calculated,the efficacy of single CT parameters and combined model for predicting PNI of colorectal adenocarcinoma were evaluated.Results There were significant differences of the location of the primary lesion,the maximum thickness of the diseased intestinal wall,the presence or absence of peritumoral lymph node metastases,peritumoral mesenteric streak shadow and tumor deposits shown on CT between groups(all P＜0.05).Significant differences of the arterial phase slope of energy spectrum curve(λHU),iodine concentration(IC),normalized IC(NIC),dual energy index and the venous phase NIC of dual energy index were found between groups(all P＜0.05).AUC of the above single parameters for predicting PNI of colorectal adenocarcinoma ranged from 0.615 to 0.698,while of the combined model was 0.864.Conclusion Dual-energy CT quantitative parameters combined with CT features could be used to effectively predict PNI of colorectal adenocarcinoma.