目的:探讨白念珠菌Hog1基因DNA、mRNA、蛋白的潜在生物学性质。方法:采用生物信息学方法对白念珠菌Hog1基因DNA、mRNA、蛋白序列进行分析。结果:白念珠菌Hog1基因启动子可能位于其基因编码区起始位点前654~704 bp,转录起始位点为编码区起始位点前663 bp,Hog1基因并无内含子。Hog1基因mRNA中未发现核糖体结合位点等功能性RNA序列,RNA二级结构分析显示,Hog1mRNA形成稳定的回文结构。蛋白质的理化性质分析显示,Hog1蛋白稳定系数为35.67。Target P 1.1和Signal P 4.1预测结果显示,Hog1基因不存在线粒体定位序列、分泌信号肽及跨膜区域。Motif分析显示Hog1具有MAPK活性,其活性位点可能为第189-181个氨基酸(TRY)。Hog1蛋白序列在各物种间呈渐进式进化、较为保守,尤其在MAPK功能域附近。结论:白念珠菌Hog1基因的DNA和mRNA序列无常见功能域,可能主要通过其蛋白质发挥作用。Hog1蛋白是MAPK家族成员,其MAPK活性位点(第189-181个氨基酸TRY)或为潜在的药物靶点。
Psychology, Health & Medicine,2018年23(3):304-316 ISSN：1354-8506
[Cai, Shu; Hu, Xuan; Cai, Wen-Zhi] Shenzhen Hospital of Southern Medical University, Shenzhen, China;[Cai, Shu] School of Nursing, Guangdong Pharmaceutical University, Guangzhou, China;[Lin, Hong] Phoenix International Medical Center, The Fifth Affiliated Hospital of SUN YAT-SEN University, Zhu Hai, China;[Cai, Yue-Xiu] Zhuhai People’s Hospital, Zhuhai, China;[Chen, Ken] School of Nursing, Guangdong Pharmaceutical University, Guangzhou, China
[Cai, Wen-Zhi] Southern Med Univ, Shenzhen Hosp, Shenzhen, Peoples R China.;Shenzhen Hospital of Southern Medical University, Shenzhen, China
The present study aimed to investigate the prevalence of fatigue and determine factors associated with fatigue in female medical personnel. Based on a cross-sectional study, a total of 1608 female medical personnel at 54 hospitals in Zhuhai, China were recruited by a multistage stratified cluster sampling method. The Symptoms Checklist-90-Revised and Chalder Fatigue Scale were used to assess psychiatric symptoms and fatigue, respectively. Data regarding demographic, health, and work related variables were also collected. Multivariate logistic regression model was constructed to determine the influencing factors of fatigue. Approximately 83% of participants had experienced fatigue in the past week. The risk of fatigue was higher in aged 30–39 years old than older or younger participants; Longer sleeping time predicted a lower prevalence of fatigue (OR = .35), while tense physician-patient relationship predicted a higher prevalence of fatigue (OR = 1.77). Depression (OR = 1.76) and anxiety (OR = 1.96) were found related to fatigue. Additionally, fatigue was associated with marital status, occupation, health related factors (exercise, regular diet, and health status), and work related factors (hospital rank and turnover intention). These study findings might facilitate development and implementation of targeted interventions and preventive measures.