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 <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.

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Publication Details

Journal
ACS Sensors
Published
2025-03-07
DOI
https://doi.org/10.1021/acssensors.4c03503
Citations
11
Primary Topic
Bacterial Identification and Susceptibility Testing
Type
article
Field-Weighted Citation Impact
14.50

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article

A Self-Calibrating Chemiluminescence Sensor for Rapid and Precise Antibiotic Prescribing Guidelines on Urinary Tract Infections

Yancheng Jiang, Hao‐Hua Deng, Quan‐Quan Zhuang, Lin-Yan Lu et al.
11 citations
ACS Sensors
Bacterial Identification and Susceptibility Testing
14.50
article

A Self-Calibrating Chemiluminescence Sensor for Rapid and Precise Antibiotic Prescribing Guidelines on Urinary Tract Infections

Yancheng Jiang, Hao‐Hua Deng, Quan‐Quan Zhuang, Lin-Yan Lu, Wei Chen, Yu‐Ling Lin, Qingqing Chen, Xiaoli Yan, Lei Hong
article en
11 citations

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.

ACS SensorsVol. 10(3)
Fujian Medical University (CN), Medication Management (United States) (US)
Natural Science Foundation of Fujian Province, Quanzhou City Science and Technology Program
Peace, Justice and strong institutions
Openalex Percentile: Top 1%
Bacterial Identification and Susceptibility Testing
14.50
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