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New ultrafast method for determining antibiotic resistance

Uppsala University News Aug 12, 2017

Researchers at Uppsala University have developed a new method for very rapidly determining whether infection–causing bacteria are resistant or susceptible to antibiotics.

The findings were published in the journal Proceedings of the National Academy of Sciences (PNAS).

Reliable methods to quickly and easily identify bacterial resistance patterns (Antibiotic Susceptibility Testing, AST) and provide the proper treatment from the start, i.e. right from the doctor’s appointment, are a solution to the problem. This has not been possible because existing antibiotic resistance tests take too long. Now, researchers at Uppsala have, for the first time, developed an antibiotic resistance test that is fast enough to enable a patient to take the right antibiotic home from the health centre straight after the first appointment. The test is primarily intended for urinary tract infections – a condition that, globally, affects approximately 100 million women a year and accounts for 25 per cent of antibiotic use in Sweden.

“We’ve developed a new method that allows determination of bacterial resistance patterns in urinary tract infections in 10 to 30 minutes. By comparison, the resistance determination currently in use requires one to two days. The rapid test is based on a new plastic microfluidic chip where the bacteria are trapped and methods for analysing bacterial growth at single–cell level,” says PhD student Özden Baltekin, who performed most of the experimental work.

The “fASTest” method is based on sensitive optical and analytical techniques developed to study the behaviour of individual bacteria. Monitoring whether individual bacteria grow in the presence of antibiotics (i.e. are resistant) or not (are susceptible) reveals their resistance or susceptibility within a few minutes.

“It’s great that the research methods we developed to address fundamental questions in molecular biology can come in useful for such a tremendously important medical application,” says Johan Elf, one of the researchers behind the study.

The detection method is now being developed by an Uppsala company, Astrego Diagnostics AB, into a user–friendly product. The company expects to have an automated test for urinary tract infections within a few years.

“The hope is that, in future, the method could be used in hospitals and health centres to quickly provide correct treatment and reduce unnecessary use of antibiotics,” says Dan Andersson, one of the researchers behind the study.

“We believe the method is usable for other types of infection, such as blood infections where prompt, correct choice of antibiotic is critical to the patient.”
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