{"title":"用于尿路感染快速精确抗生素处方指南的自校准化学发光传感器","authors":"Quan-Quan Zhuang, Lin-Yan Lu, Yu-Ling Lin, Xiao-Li Yan, Qing-Qing Chen, Yan-Cheng Jiang, Lei Hong, Hao-Hua Deng, Wei Chen","doi":"10.1021/acssensors.4c03503","DOIUrl":null,"url":null,"abstract":"Traditional antimicrobial-susceptibility testing methodologies, including the isolation and culture of bacteria from urine samples and antibiotic-susceptibility test (AST), are expensive and time-consuming. Therefore, a rapid, user-friendly phenotypic AST is urgently needed to guide treatment strategies. Several novel phenotypic AST platforms based on the physiological characteristics of bacteria obtained directly from clinical urine samples have been proposed as promising methods as rapid AST and appropriate antibiotic treatments. However, inaccurate bacterial quantification can lead to false results when high-accuracy quantitative assays are required using these procedures. Coupling the expression of catalase by pathogens with a chemiluminescence-based analytical method enables a convenient and low-cost operation. Herein, we demonstrate a rapid self-calibrating chemiluminescence sensor that can measure bacterial viability through the variation in catalase activity and its response to hydrogen peroxide after treatment with antibiotics. This rapid nanosensor platform can be utilized to determine the antibiotic susceptibility of uropathogenic <i>Escherichia coli</i> and <i>Klebsiella pneumoniae</i>, which account for 80% of all urinary tract infections, directly from clinical urine samples within 40 min without bacterial quantification. The proposed ultrafast and highly accurate AST can enable the precise guidance of antibiotic prescriptions and shorten the time required for clinical decision-making.","PeriodicalId":24,"journal":{"name":"ACS Sensors","volume":"67 1","pages":""},"PeriodicalIF":9.1000,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Self-Calibrating Chemiluminescence Sensor for Rapid and Precise Antibiotic Prescribing Guidelines on Urinary Tract Infections\",\"authors\":\"Quan-Quan Zhuang, Lin-Yan Lu, Yu-Ling Lin, Xiao-Li Yan, Qing-Qing Chen, Yan-Cheng Jiang, Lei Hong, Hao-Hua Deng, Wei Chen\",\"doi\":\"10.1021/acssensors.4c03503\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditional antimicrobial-susceptibility testing methodologies, including the isolation and culture of bacteria from urine samples and antibiotic-susceptibility test (AST), are expensive and time-consuming. Therefore, a rapid, user-friendly phenotypic AST is urgently needed to guide treatment strategies. Several novel phenotypic AST platforms based on the physiological characteristics of bacteria obtained directly from clinical urine samples have been proposed as promising methods as rapid AST and appropriate antibiotic treatments. However, inaccurate bacterial quantification can lead to false results when high-accuracy quantitative assays are required using these procedures. Coupling the expression of catalase by pathogens with a chemiluminescence-based analytical method enables a convenient and low-cost operation. Herein, we demonstrate a rapid self-calibrating chemiluminescence sensor that can measure bacterial viability through the variation in catalase activity and its response to hydrogen peroxide after treatment with antibiotics. This rapid nanosensor platform can be utilized to determine the antibiotic susceptibility of uropathogenic <i>Escherichia coli</i> and <i>Klebsiella pneumoniae</i>, which account for 80% of all urinary tract infections, directly from clinical urine samples within 40 min without bacterial quantification. The proposed ultrafast and highly accurate AST can enable the precise guidance of antibiotic prescriptions and shorten the time required for clinical decision-making.\",\"PeriodicalId\":24,\"journal\":{\"name\":\"ACS Sensors\",\"volume\":\"67 1\",\"pages\":\"\"},\"PeriodicalIF\":9.1000,\"publicationDate\":\"2025-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Sensors\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.1021/acssensors.4c03503\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Sensors","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acssensors.4c03503","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
A Self-Calibrating Chemiluminescence Sensor for Rapid and Precise Antibiotic Prescribing Guidelines on Urinary Tract Infections
Traditional antimicrobial-susceptibility testing methodologies, including the isolation and culture of bacteria from urine samples and antibiotic-susceptibility test (AST), are expensive and time-consuming. Therefore, a rapid, user-friendly phenotypic AST is urgently needed to guide treatment strategies. Several novel phenotypic AST platforms based on the physiological characteristics of bacteria obtained directly from clinical urine samples have been proposed as promising methods as rapid AST and appropriate antibiotic treatments. However, inaccurate bacterial quantification can lead to false results when high-accuracy quantitative assays are required using these procedures. Coupling the expression of catalase by pathogens with a chemiluminescence-based analytical method enables a convenient and low-cost operation. Herein, we demonstrate a rapid self-calibrating chemiluminescence sensor that can measure bacterial viability through the variation in catalase activity and its response to hydrogen peroxide after treatment with antibiotics. This rapid nanosensor platform can be utilized to determine the antibiotic susceptibility of uropathogenic Escherichia coli and Klebsiella pneumoniae, which account for 80% of all urinary tract infections, directly from clinical urine samples within 40 min without bacterial quantification. The proposed ultrafast and highly accurate AST can enable the precise guidance of antibiotic prescriptions and shorten the time required for clinical decision-making.
期刊介绍:
ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.