Diagnostic Value of the Fimbriae Distribution Pattern in Localization of Urinary Tract Infection
Urinary tract infections (UTIs) are one of the most common infectious diseases. UTIs are mainly caused by uropathogenic Escherichia coli (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 di...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-06-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2021.602691/full |
| _version_ | 1818458122373562368 |
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| author | Xiao Li Xiao Li Kaichen Zhou Jingyu Wang Jiahe Guo Yang Cao Jie Ren Tao Guan Wenchao Sheng Mingyao Zhang Zhi Yao Zhi Yao Quan Wang |
| author_facet | Xiao Li Xiao Li Kaichen Zhou Jingyu Wang Jiahe Guo Yang Cao Jie Ren Tao Guan Wenchao Sheng Mingyao Zhang Zhi Yao Zhi Yao Quan Wang |
| author_sort | Xiao Li |
| collection | DOAJ |
| description | Urinary tract infections (UTIs) are one of the most common infectious diseases. UTIs are mainly caused by uropathogenic Escherichia coli (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. |
| first_indexed | 2024-12-14T22:53:26Z |
| format | Article |
| id | doaj.art-361372a0a38d4e38b2dc916d1bf2fe21 |
| institution | Directory Open Access Journal |
| issn | 2296-858X |
| language | English |
| last_indexed | 2024-12-14T22:53:26Z |
| publishDate | 2021-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj.art-361372a0a38d4e38b2dc916d1bf2fe212022-12-21T22:44:39ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2021-06-01810.3389/fmed.2021.602691602691Diagnostic Value of the Fimbriae Distribution Pattern in Localization of Urinary Tract InfectionXiao Li0Xiao Li1Kaichen Zhou2Jingyu Wang3Jiahe Guo4Yang Cao5Jie Ren6Tao Guan7Wenchao Sheng8Mingyao Zhang9Zhi Yao10Zhi Yao11Quan Wang12Key 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, ChinaXuzhou Key Laboratory of Laboratory Diagnostics, School of Medical Technology, Xuzhou Medical University, Xuzhou, ChinaKey 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, ChinaKey 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, ChinaKey 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, ChinaDepartment of Clinical Laboratory, The Second Hospital of Tianjin Medical University, Tianjin, ChinaKey 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, ChinaChina Unicom Software Research Institute, Xi'an, ChinaKey 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, ChinaKey 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, ChinaKey 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, China2011 Collaborative Innovation Center of Tianjin for Medical Epigenetics, Tianjin Medical University, Tianjin, ChinaKey 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, ChinaUrinary tract infections (UTIs) are one of the most common infectious diseases. UTIs are mainly caused by uropathogenic Escherichia coli (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.https://www.frontiersin.org/articles/10.3389/fmed.2021.602691/fullupper urinary tract infectionslower urinary tract infectionsUPECfimbriaemachine learningXGBoost |
| spellingShingle | Xiao Li Xiao Li Kaichen Zhou Jingyu Wang Jiahe Guo Yang Cao Jie Ren Tao Guan Wenchao Sheng Mingyao Zhang Zhi Yao Zhi Yao Quan Wang Diagnostic Value of the Fimbriae Distribution Pattern in Localization of Urinary Tract Infection Frontiers in Medicine upper urinary tract infections lower urinary tract infections UPEC fimbriae machine learning XGBoost |
| title | Diagnostic Value of the Fimbriae Distribution Pattern in Localization of Urinary Tract Infection |
| title_full | Diagnostic Value of the Fimbriae Distribution Pattern in Localization of Urinary Tract Infection |
| title_fullStr | Diagnostic Value of the Fimbriae Distribution Pattern in Localization of Urinary Tract Infection |
| title_full_unstemmed | Diagnostic Value of the Fimbriae Distribution Pattern in Localization of Urinary Tract Infection |
| title_short | Diagnostic Value of the Fimbriae Distribution Pattern in Localization of Urinary Tract Infection |
| title_sort | diagnostic value of the fimbriae distribution pattern in localization of urinary tract infection |
| topic | upper urinary tract infections lower urinary tract infections UPEC fimbriae machine learning XGBoost |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2021.602691/full |
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