Background: Microsporum canis is a zoonotic disease that can cause dermatophytosis in animals and humans. Objectives: In clinical practice, ketoconazole (KTZ) and other imidazole drugs are commonly used to treat M. canis infection, but its molecular mechanism is not completely understood.The antifungal mechanism of KTZ needs to be studied in detail. Methods: In this study, one strain of fungi was isolated from a canine suffering with clinical dermatosis and confirmed as M. canis by morphological observation and sequencing analysis.The clinically isolated M. canis was treated with KTZ and transcriptome sequencing was performed to identify differentially expressed genes in M. canis exposed to KTZ compared with those unexposed thereto. Results: At half-inhibitory concentration (½MIC), compared with the control group, 453 genes were significantly up-regulated and 326 genes were significantly down-regulated (p < 0.05). Quantitative reverse transcription polymerase chain reaction analysis verified the transcriptome results of RNA sequencing. Gene ontology enrichment analysis and Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed that the 3 pathways of RNA polymerase, steroid biosynthesis, and ribosome biogenesis in eukaryotes are closely related to the antifungal mechanism of KTZ. Conclusions The results indicated that KTZ may change cell membrane permeability, destroy the cell wall, and inhibit mitosis and transcriptional regulation through CYP51, SQL, ERG6, ATM, ABCB1, SC, KER33, RPA1, and RNP genes in the 3 pathways. This study provides a new theoretical basis for the effective control of M. canis infection and the effect of KTZ on fungi.

Objective To understand the current status of receiving no methadone maintenance treatment (MMT) and influencing factors in HIV infected injecting drug users (IDUs) in Dehong Dai and Jingpo autonomous prefectures,Yunnan province.Methods Data of survival of IDUs with AIDS in Dehong were collected from "Chinese National Comprehensive HIV/AIDS and Care Information System" in December,2014.Results There were 987 IDUs who should receive MMT,the majority of them were males (94.6％,934/987),aged 35-44 years (53.0％,523/987) and farmers (77.2％,762/987).Among the 987 IDUs,60.2％ (592/987) received no MMT.Multivariate logistic regression analysis showed that being female (OR=2.66,95％CI:1.21-5.87),in Jingpo ethnic group (OR=3.05,95％CI:1.97-4.71) were the major risk factors for receiving no MMT;not being farmers (OR=0.46,95％CI:0.31-0.70),in Dai ethnic group (OR=0.53,95％CI:0.36-0.79),diagnosed HIV infection history ≥ 10 years (OR=0.60,95％CI:0.45-0.81) were the major protective factors for receiving no MMT.The reasons for receiving no MMT included long distance journey (289,48.8％),fear of exposure (124,20.9％),poor daily medication compliance (59,10.0％),fear of side effects (47,7.9％),others (73,12.3％).Conclusions The proportion of receiving no MMT in IDUs with AIDS in Dehong was high.Being female and farmer,in Jingpo ethnic group,low educational level,short diagnosed HIV infection history were influencing factors for receiving no MMT.The effective intervention measures should be taken to further improve MMT coverage according to the different characteristics of the patients.

Objective:To explore the effect of clinical nursing teacher training mode guided by deep learning theory.Methods:The clinical nursing teacher training mode was constructed under the guidance of deep learning theory and in combination with the characteristics of clinical nursing teachers, led and implemented by the university teacher development center. The questionnaire guided by Kirkpatrick Model was used to investigate clinical nursing teachers who had completed the five-stage training. The effects and differences in reaction, learning, behavior, and result levels were compared between the training objects in six training sessions. A total of 138 questionnaires were collected, of which 129 questionnaires were valid, with a response rate of 93.48%. The SPSS 22.0 was used to conduct analysis of variance or chi-square test.Results:On the reaction level, there were significant differences in the satisfaction of trainees in training time, examination form, and organization management ( P<0.05); on the learning level, the trainees had different opinions on the effect of training on promotion and improvement of clinical nursing quality ( P<0.05); on the behavior level, the training objects had different tasks in undergraduate classroom teaching and in hospital and medical association education and training ( P<0.05); on the result level, the clinical nursing teachers who completed the training all participated in different types of nursing teaching. Conclusion:The clinical nursing teacher training mode based on deep learning theory can significantly improve the teaching ability of clinical nursing teachers and promote their professional development.