한빛사논문, 상위피인용논문
Jungil Choi1,2,3, Jungheon Yoo4, Mincheol Lee4, Eun-Geun Kim1,2,3,4, Ji Soo Lee5, Seungok Lee6, Seik Joo7, Sang Hoon Song7, Eui-Chong Kim7, Jung Chan Lee8,9,10, Hee Chan Kim8,9,10, Yong-Gyun Jung4,* and Sunghoon Kwon1,2,3,4,*
1Center for Nanoparticle Research, Institute for Basic Science, Seoul 151-742, Republic of Korea. 2Department of Electrical Engineering and Computer Science, Seoul National University, Seoul 151-742, Republic of Korea. 3Bio-MAX Institute, Seoul National University, Seoul 151-742, Republic of Korea. 4QuantaMatrix Inc., Seoul 151-742, Republic of Korea. 5Interdisciplinary Program of Bioengineering, Seoul National University Graduate School, Seoul 151-742, Republic of Korea. 6Department of Laboratory Medicine, Incheon St. Mary’s Hospital, The Catholic University School of Medicine, Incheon 403-720, Republic of Korea. 7Department of Laboratory Medicine, Seoul National University Hospital, Seoul 110-744, Republic of Korea. 8Institute of Medical and Biological Engineering, Medical Research Center, Seoul National University, Seoul 110-799, Republic of Korea. 9Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul 110-799, Republic of Korea. 10Department of Biomedical Engineering, Seoul National University Hospital, Seoul 110-744, Republic of Korea.
*Corresponding author.
Abstract
A rapid antibiotic susceptibility test (AST) is desperately needed in clinical settings for fast and appropriate antibiotic administration. Traditional ASTs, which rely on cell culture, are not suitable for urgent cases of bacterial infection and antibiotic resistance owing to their relatively long test times. We describe a novel AST called single-cell morphological analysis (SCMA) that can determine antimicrobial susceptibility by automatically analyzing and categorizing morphological changes in single bacterial cells under various antimicrobial conditions. The SCMA was tested with four Clinical and Laboratory Standards Institute standard bacterial strains and 189 clinical samples, including extended-spectrum β-lactamase–positive Escherichia coli and Klebsiella pneumoniae, imipenem-resistant Pseudomonas aeruginosa, methicillin-resistant Staphylococcus aureus, and vancomycin-resistant Enterococci from hospitals. The results were compared with the gold standard broth microdilution test. The SCMA results were obtained in less than 4 hours, with 91.5% categorical agreement and 6.51% minor, 2.56% major, and 1.49% very major discrepancies. Thus, SCMA provides rapid and accurate antimicrobial susceptibility data that satisfy the recommended performance of the U.S. Food and Drug Administration.
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