Objective:Animal models were set up to explore the best preventative intra-nasal administration of interleukin 27 (IL-27)to diminish allergic airway inflammation of asthma and the related molecular mechanisms. Methods:Ninety-six female C57/6J mice were randomly divided into four groups,a group of the control group,a group of asthma group,and two groups of the prevention group. Based on being sensitizing and challenging with Ovalbumin ( OVA ) in the asthma model, two kinds of IL-27 administration asthma animal models were set up,one of which was low-dose-multiple preventive administration before OVA sensitization,one was low-dose-multiple preventive administration after OVA sensitization but before OVA challenge. Sacrificed the mice after challenging and analyzed the IL-5 and IL-13 levels in supernatant of Broncho alveolar lavage fluid( BAL) using ELISA;and HE stain and inflammation score were done for the lungs. Sacrificed the mice before challenging and used the lungs to analyze the level of total signal transducer and activator of transcription-1(STAT1) protein and phos-STAT1 based on the method of Western blot. Results: In low-dose-multiple administration before sensitization preventions group,IL-27 inhibits the secretion of IL-5 and IL-13(P<0. 05) and inflammation around bronchial and vascular obviously, and the inflammation score was lower than asthma group ( P<0. 05 ) , while another group has no significant effects ( P>0. 05 ) . The phosphorylation of STAT1 was impaired in mice after OVA sensitization, and preventative administration of IL-27 before sensitization could reverse the impairment of STAT1, whereas another group had no obviously changes. Conclusion:Preventative administration of IL-27 before sensitization can attenuate the airway inflammation in the mouse asthma model via reversing the phosphorylation of STAT1,while the mice which has been sensitized resisting the inhibition of IL-27 due to the impairment of the phosphorylation of STAT1 and already committed Th2-CD4+T cells existed in sensitization-mice airway might be the reason for such IL-27 resistance.

Objective To investigate the prevalence and risk factors of chronic kidney disease (CKD) in Chengdu urban population and the prevalence of CKD in risk population.Methods Questionnaire (anamnesis,smoking,drink) of risk factors of CKD and somatoscopy (blood pressure,body height and body weight) were caried out in railman of Chengdu urban.Their blood and urine indicators (blood sugar,blood lipid,blood uric acid,blood creatinine,uromicroprotein/creatinine ratio,routine urine examination,etc) were measured.The prevalence and risk factors of CKD in Chengdu urban population and the prevalence of CKD in risk population were elucidated.Results Eligible data of 5326 subjects were enrolled in the study.After the adjustment of age and gender component,the prevalence of albuminuria was 11.54％,reduced eGFR was 5.54％,hematuria was 3.87％,and CKD was 18.32％; the recognition was 1.93％.In addition,the prevalence of albuminuria was respectively 23.79％,28.00％,14.08％; prevalence of reduced eGFR was respectively 4.76％,4.53％,3.26％; prevalence of hematuria was respectively 2.94％,3.20％,2.37％ in 3098 people with hypertension,diabetes or hyperlipaemia.Independent risk factors of albuminuria were female,hypertension,diabetes,hyperlipemia and high BMI.Independent risk factors of reduced eGFR were female,age,hyperuricemia and hypertension.Drink was negatively correlated with reduced eGFR.Independent risk factors of hematuria were female and age.Conclusions The prevalence of CKD is quite high and the recognition rate is low in the Chengdu urban populaton.Risk factors of CKD are age,female,diabetes,hypertension,hyperlipemia,hyperuricemia and high BMI.Control of the development of metabolic disease can reduce the CKD.

With the booming development of medical information technology and computer science, the medical services industry is gradually transiting from information technology to intelligence. The medical knowledge graph plays an important role in intelligent medical applications such as knowledge questions and answers and intelligent diagnosis, and is a key technology for promoting wise medical care and the basis for intelligent management of medical information. In order to fully exploit the great potential of knowledge graphs in the medical field, this paper focuses on five aspects: inter-drug relationship discovery, assisted diagnosis, personalized recommendation, decision support and intelligent prediction. The latest research progress on medical knowledge graphs is introduced, and relevant suggestions are made in light of the current challenges and problems faced by medical knowledge graphs to provide reference for promoting the wide application of medical knowledge graphs.
Pattern Recognition, Automated ; Medical Informatics