Objective To investigate the relationship between prothrombin fragment 1+2 (F1+2) and peripherally inserted central catheter (PICC) associated thrombosis in cervical cancer patients, and provide certain clinical basis of early prevention in peripherally inserted central catheter associated thrombosis in cervical cancer patients. Methods One hundred and forty cervical patients with PICC were enrolled in this study, and they were divided into thrombosis group (35 patients) and non-thrombosis group (105 patients). The level of F1+2 was examined using enzyme-linked immunoassay, and was analyzed according to the clinic features. Results The level of F1+2 was correlated with clinical stage (r = 0.640, P = 0.004);but was not correlated with age, type of tumor and concurrent radiochemotherapy (P>0.05). The level of F1+2 in thrombosis group was (520.343 ± 121.759) pmol/L, in non- thrombosis group was (388.361 ± 104.873) pmol/L, and there was significant difference (P =0.001). The multi-factors Logistic analysis showed that the level of F1+2 (OR=1.011, P=0.001) and age (OR = 21.025, P = 0.031) were independent risk factors for the PICC associated with thrombosis in cervical cancer. Conclusions The level of F1+2 is closely related with clinical stage and PICC associated thrombosis, and it is an independent risk factor for the PICC associated with thrombosis in cervical cancer.

【Objective】 To dig the main active components and predict potential mechanisms of Guarana in the treatment of Alzheimer’s disease (AD) by network pharmacology method and molecular docking. 【Methods】 By digging into papers relating to this topic, chemical components in Guarana were obtained and used for drug-likeness analysis. Databases including HERB and Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) were used to obtain potential targets that the active components in Guarana might have effects on, and to find out diseases in association with the potential targets. Other databases such as GeneCards, a human gene database, and DisGeNET were used to identify the genes relating to AD, and a Wayne diagram was drawn to get the intersected targets in Guarana and AD. Subsequently, CytoScape software was adopted for the construction of a Guarana-intersected targets-AD map. After that, the intersected targets were uploaded to the Search Tool for the Retrieval of Interaction Gene/Proteins (STRING) database to acquire a protein-protein interaction (PPI) network diagram. Then, the key target proteins were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). In terms of molecular docking verification, AutoDock software was used to verify whether the crucial active compounds of Guarana’s components could bind to the key targets. 【Results】 A total of 140 potential targets for Guarana to treat AD were obtained. The results of PPI network analysis showed that interleukin 6 (IL-6), tumor necrosis factor (TNF), insulin (INS), mitogen-activated protein kinase 3 (MAPK3), transcription factor (JUN), cell tumor antigen p53 (TP53), caspase3 (CASP3), protein c-Fos (FOS), catalase (CAT), and Catenin beta-1 (CTNNB1) might be the key targets of Guarana in the treatment of AD. It was found by GO and KEGG analyses that the mechanism of Guarana in the treatment of AD might be the bindings between Guarana compounds and protease outside the cell membranes. The molecular docking results showed that the small molecules of various components in Guarana binding to target proteins such as TNF, IL-6, MAPK3, and FOS needed relatively less energy. 【Conclusion】 The treatment of AD with Guarana involves the participation of multiple targets, among which IL-6, TNF, and MAPK3 might be the key ones. These key targets might take effects through the biological process in their bindings to β-amyloid and involving signaling pathways in cancer. Hopefully, our research could offer some scientific foundations as well as references for in-depth studies on the treatment of AD with Guarana.

Purpose/Significance To expound the content features of online medical reviews and its impact on the utilization of pa-tients'online consultation services,and to provide references for the information management of online medical platforms.Method/Process The LDA topic model based on TF-IDF is constructed,the semantic analysis method based on sentiment dictionary is adopted to mine the content features of online medical reviews,and the principal component analysis(PC A)is applied to classify and explore them,and the regression analysis is carried out by binary logistic.Result/Conclusion The content features of online medical reviews are divided into 3 categories,including 9 indicators.Among them,the attributes of reviewers,timeliness,consultation process,service atti-tude and platform feedback have a significant impact on the utilization of efficient online consultation services by patients.It is suggested to improve the utilization level of online consultation services by optimizing related services of online medical platform review section.

With the development of medical technology and the deepening of medical reform, hospital laboratory test continues to expand. Affected by factors such as technology and cost, the business of outsourcing laboratory test to independent clinical laboratories develops rapidly. However, this cooperation mode has not been carried out for a long time and lacks systematic management experience. Through the analysis of the motivation of hospital delivery, this study expounds the classification, judgment basis and requirements for suppliers of third-party clinical laboratory delivery, as well as the operation practice of laboratory test delivery, so as to provide reference for more standardized and effective testing delivery for hospitals.

T cells are an important adaptive immune response arm that mediates cell-mediated immunity. T cell metabolism plays a central role in T cell activation, proliferation, differentiation, and effector function. Specific metabolic programs are tightly controlled to mediate T cell immune responses, and alterations in T cell metabolism may result in many immunological disorders. In this review, we will summarize the main T cell metabolic pathways and the important factors participating in T cell metabolic programming during T cell homeostasis, differentiation, and function.
Animals ; Cell Physiological Phenomena ; Humans ; Immunity, Cellular ; physiology ; Metabolic Networks and Pathways ; immunology ; T-Lymphocytes ; immunology ; metabolism