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Antibiotic susceptibility testing in less than 30 min using direct single-cell imaging.

Authors :
Baltekin, Özden
Boucharin, Alexis
Tano, Eva
Andersson, Dan I.
Elf, Johan
Source :
Proceedings of the National Academy of Sciences of the United States of America; 8/22/2017, Vol. 114 Issue 34, p9170-9175, 6p
Publication Year :
2017

Abstract

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<superscript>4</superscript> 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00278424
Volume :
114
Issue :
34
Database :
Complementary Index
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
124770138
Full Text :
https://doi.org/10.1073/pnas.1708558114