Urinary Tract Infections Detection with Molecular Biomarkers

Urinary tract infection (UTI) is the most prevalent kind of pathogenic bacteria infection, and the midstream urine culture is regarded as the gold standard in UTI diagnosis. Recently, even with modern media and techniques such as polymerase chain reaction (PCR), urinary cultures still create a consi...

Full description

Saved in:
Bibliographic Details
Main Authors: Jiayi Sun, Kai Cheng, Yanyun Xie
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Biomolecules
Subjects:
Online Access:https://www.mdpi.com/2218-273X/14/12/1540
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1846105538010546176
author Jiayi Sun
Kai Cheng
Yanyun Xie
author_facet Jiayi Sun
Kai Cheng
Yanyun Xie
author_sort Jiayi Sun
collection DOAJ
description Urinary tract infection (UTI) is the most prevalent kind of pathogenic bacteria infection, and the midstream urine culture is regarded as the gold standard in UTI diagnosis. Recently, even with modern media and techniques such as polymerase chain reaction (PCR), urinary cultures still create a considerable workload for hospital laboratories. Other UTI-detecting methods, such as flow cytometry and lateral flow immunoassay, suffer from various drawbacks like long time consumption and low sensitivity. Therefore, looking for reliable biomarkers in UTI is urgently needed. In this review, the current definitions of UTI can be basically divided into two main categories: uncomplicated UTI and complicated UTI. In light of anatomical sites, it can be classified as either lower UTI or upper UTI. We take the classification of UTI as a clue and review the reported extensive literature to classify the existing studied markers into the following three categories: Biomarkers used clinically; Promising biomarkers; and Controversial biomarkers. Particularly, the nucleic acid-associated, metabolomic, and lipidomic biomarkers are highlighted. At the end, we discuss the challenges and prospects of biomarkers in UTI, hoping to further inspire the diagnosis of UTI.
format Article
id doaj-art-0669c444b0bc4f77a2207aaca7d3fb0a
institution Kabale University
issn 2218-273X
language English
publishDate 2024-11-01
publisher MDPI AG
record_format Article
series Biomolecules
spelling doaj-art-0669c444b0bc4f77a2207aaca7d3fb0a2024-12-27T14:13:44ZengMDPI AGBiomolecules2218-273X2024-11-011412154010.3390/biom14121540Urinary Tract Infections Detection with Molecular BiomarkersJiayi Sun0Kai Cheng1Yanyun Xie2Xiangya Hospital, Central South University, Changsha 410008, ChinaDepartment of Urology, Xiangya Hospital, Central South University, Changsha 410008, ChinaDepartment of Nephrology, Xiangya Hospital, Central South University, Changsha 410008, ChinaUrinary tract infection (UTI) is the most prevalent kind of pathogenic bacteria infection, and the midstream urine culture is regarded as the gold standard in UTI diagnosis. Recently, even with modern media and techniques such as polymerase chain reaction (PCR), urinary cultures still create a considerable workload for hospital laboratories. Other UTI-detecting methods, such as flow cytometry and lateral flow immunoassay, suffer from various drawbacks like long time consumption and low sensitivity. Therefore, looking for reliable biomarkers in UTI is urgently needed. In this review, the current definitions of UTI can be basically divided into two main categories: uncomplicated UTI and complicated UTI. In light of anatomical sites, it can be classified as either lower UTI or upper UTI. We take the classification of UTI as a clue and review the reported extensive literature to classify the existing studied markers into the following three categories: Biomarkers used clinically; Promising biomarkers; and Controversial biomarkers. Particularly, the nucleic acid-associated, metabolomic, and lipidomic biomarkers are highlighted. At the end, we discuss the challenges and prospects of biomarkers in UTI, hoping to further inspire the diagnosis of UTI.https://www.mdpi.com/2218-273X/14/12/1540urinary tract infectionsbiomarkerspathogensdiagnosis
spellingShingle Jiayi Sun
Kai Cheng
Yanyun Xie
Urinary Tract Infections Detection with Molecular Biomarkers
Biomolecules
urinary tract infections
biomarkers
pathogens
diagnosis
title Urinary Tract Infections Detection with Molecular Biomarkers
title_full Urinary Tract Infections Detection with Molecular Biomarkers
title_fullStr Urinary Tract Infections Detection with Molecular Biomarkers
title_full_unstemmed Urinary Tract Infections Detection with Molecular Biomarkers
title_short Urinary Tract Infections Detection with Molecular Biomarkers
title_sort urinary tract infections detection with molecular biomarkers
topic urinary tract infections
biomarkers
pathogens
diagnosis
url https://www.mdpi.com/2218-273X/14/12/1540
work_keys_str_mv AT jiayisun urinarytractinfectionsdetectionwithmolecularbiomarkers
AT kaicheng urinarytractinfectionsdetectionwithmolecularbiomarkers
AT yanyunxie urinarytractinfectionsdetectionwithmolecularbiomarkers