D‐Amino Acid‐Based Metabolic Labeling Enables a Fast Antibiotic Susceptibility Test of Both Isolated Bacteria and Bronchoalveolar Lavage Fluid. Issue 6 (24th December 2021)

• Record Type: Journal Article
• Authors: Gao, Juan; Guo, Junnan; Chen, Jianxiao; Ding, Chenling; Wang, Jiemin; Huang, Qian; Jian, Ying; Zhao, Xianyuan; Li, Min; Gao, Yuan; Yang, Chaoyong; Wang, Wei
• Is Part Of: Advanced healthcare materials. Volume 11:Issue 6(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-12-24
• Subjects: antibiotic susceptibility tests -- bacterial metabolic status -- bronchoalveolar lavage fluids -- fluorescent d‐amino acid -- metabolic labeling; Biomedical materials -- Periodicals; 610.28
• DOI: 10.1002/adhm.202101736
• Languages: English
• ISSNs: 2192-2640

Abstract

Abstract: The threat of multidrug‐resistant bacteria has escalated rapidly, increasing the demand for accurate antibiotic susceptibility tests (ASTs). Traditional bacterial growth yield‐based ASTs often take overnight to report, delaying the timely guidance of antibiotic use. Here, a fluorescent d‐ amino acid (FDAA) labeling‐based AST (FaAST) is reported, which can quickly provide accurate minimum inhibitory concentrations (MICs). The FDAA‐labeling signals that reflect the bacterial metabolic status underlie the flow cytometry‐based strategy for MIC determination. Resistant bacteria show a reluctant decline in FDAA‐labeling (inhibited metabolism) after treatment with the corresponding antibiotics, whereas susceptible bacteria demonstrate quick responses to low doses of drugs. The MICs are determined based on the changing trends in labeling. After testing 23 clinical isolates and laboratory strains of the most critical drug‐resistant bacteria against a panel of representative antibiotics, FaAST shows a high susceptibility category with an accuracy of 98.13%. Moreover, FaAST can also make quick and accurate diagnosis against bronchoalveolar lavage fluids collected from hospital‐acquired pneumonia patients, saving 2–4 days in guiding antibiotic use for this life‐threatening infection. Thus, the speed, accuracy, and broad applicability of FaAST will be valuable in informing antibiotic decisions when treating critical infections caused by drug‐resistant bacteria. Abstract : Using fluorescence labeling signals of bacteria via d‐ amino acid‐based metabolic labeling, which can reflect microbial metabolic status, a novel antibiotic susceptibility test strategy is developed for quickly and accurately determining antibiotics' minimum inhibitory concentrations against not only isolated bacteria, but also complex clinical samples like bronchoalveolar lavage fluid.