Li Xiao, Zhou Kaichen, Wang Jingyu, Guo Jiahe, Cao Yang, Ren Jie, Guan Tao, Sheng Wenchao, Zhang Mingyao, Yao Zhi, Wang Quan
Key Laboratory of Immune Microenvironment and Disease of the Educational Ministry of China, Tianjin Key Laboratory of Cellular and Molecular Immunology, Department of Immunology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Xuzhou Key Laboratory of Laboratory Diagnostics, School of Medical Technology, Xuzhou Medical University, Xuzhou, China.
Front Med (Lausanne). 2021 Jun 18;8:602691. doi: 10.3389/fmed.2021.602691. eCollection 2021.
Urinary tract infections (UTIs) are one of the most common infectious diseases. UTIs are mainly caused by uropathogenic (UPEC), and are either upper or lower according to the infection site. Fimbriae are necessary for UPEC to adhere to the host uroepithelium, and are abundant and diverse in UPEC strains. Although great progress has been made in determining the roles of different types of fimbriae in UPEC colonization, the contributions of multiple fimbriae to site-specific attachment also need to be considered. Therefore, the distribution patterns of 22 fimbrial genes in 90 UPEC strains from patients diagnosed with upper or lower UTIs were analyzed using PCR. The distribution patterns correlated with the infection sites, an XGBoost model with a mean accuracy of 83.33% and a mean area under the curve (AUC) of the receiver operating characteristic (ROC) of 0.92 demonstrated that fimbrial gene distribution patterns could predict the localization of upper and lower UTIs.
尿路感染(UTIs)是最常见的传染病之一。UTIs主要由尿路致病性大肠杆菌(UPEC)引起,根据感染部位可分为上尿路感染或下尿路感染。菌毛是UPEC黏附于宿主尿道上皮所必需的,并且在UPEC菌株中丰富多样。尽管在确定不同类型菌毛在UPEC定植中的作用方面已经取得了很大进展,但多种菌毛对特定部位黏附的贡献也需要考虑。因此,使用PCR分析了90株来自诊断为上尿路感染或下尿路感染患者的UPEC菌株中22个菌毛基因的分布模式。这些分布模式与感染部位相关,一个平均准确率为83.33%、受试者工作特征(ROC)曲线下平均面积(AUC)为0.92的XGBoost模型表明,菌毛基因分布模式可以预测上尿路感染和下尿路感染的定位。