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Antibiotic susceptibility testing in less than 30 min using direct single-cell imaging
Uppsala University, Science for Life Laboratory, SciLifeLab. Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology.
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular Systems Biology. Uppsala University, Science for Life Laboratory, SciLifeLab.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Infection medicine.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology.
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2017 (English)In: Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, E-ISSN 1091-6490, Vol. 114, no 34, p. 9170-9175Article in journal (Refereed) Published
Abstract [en]

The emergence and spread of antibiotic-resistant bacteria are aggravated by incorrect prescription and use of antibiotics. A core problem is that there is no sufficiently fast diagnostic test to guide correct antibiotic prescription at the point of care. Here, we investigate if it is possible to develop a point-of-care susceptibility test for urinary tract infection, a disease that 100 million women suffer from annually and that exhibits widespread antibiotic resistance. We capture bacterial cells directly from samples with low bacterial counts (10(4) cfu/mL) using a custom-designed microfluidic chip and monitor their individual growth rates using microscopy. By averaging the growth rate response to an antibiotic over many individual cells, we can push the detection time to the biological response time of the bacteria. We find that it is possible to detect changes in growth rate in response to each of nine antibiotics that are used to treat urinary tract infections in minutes. In a test of 49 clinical uropathogenic Escherichia coli (UPEC) isolates, all were correctly classified as susceptible or resistant to ciprofloxacin in less than 10 min. The total time for antibiotic susceptibility testing, from loading of sample to diagnostic readout, is less than 30 min, which allows the development of a point-of-care test that can guide correct treatment of urinary tract infection.

Place, publisher, year, edition, pages
2017. Vol. 114, no 34, p. 9170-9175
Keywords [en]
point of care, UTI, AST, antibiotic, resistance, microfluidic
National Category
Basic Medicine
Identifiers
URN: urn:nbn:se:uu:diva-333967DOI: 10.1073/pnas.1708558114ISI: 000408095300072OAI: oai:DiVA.org:uu-333967DiVA, id: diva2:1165317
Available from: 2017-12-13 Created: 2017-12-13 Last updated: 2018-01-13Bibliographically approved

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Baltekin, ÖzdenBoucharin, AlexisTano, EvaAndersson, Dan IElf, Johan

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Baltekin, ÖzdenBoucharin, AlexisTano, EvaAndersson, Dan IElf, Johan
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Science for Life Laboratory, SciLifeLabMolecular Systems BiologyInfection medicineDepartment of Medical Biochemistry and Microbiology
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Proceedings of the National Academy of Sciences of the United States of America
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