Quick and sensitive identification of multidrug-resistant germs

Quick and sensitive identification of multidrug-resistant germs
Schematic illustration of the cantilever array to detect antibiotic resistance. Credit: Department of Physics and Nano Imaging Lab, SNI, University of Basel

Researchers from the University of Basel have developed a sensitive testing system that allows the rapid and reliable detection of resistance in bacteria. The system is based on tiny, functionalized cantilevers that bend due to binding of sample material. In the analyses, the system was able to detect resistance in a sample quantity equivalent to 1–10 bacteria.

Bacteria that are no longer susceptible to various antibiotics pose a significant threat to our health. In the event of a bacterial infection, physicians require rapid information about potential resistance so that they can respond quickly and correctly.

Cantilever systems as an alternative

Traditional methods for detecting resistance are based on cultivating and testing their sensitivity to a spectrum of antibiotics. These methods take 48 to 72 hours to deliver results, and some strains of bacteria are difficult to cultivate. Molecular biological tests are a great deal faster and work by amplifying or specific short sequences of genetic material by (PCR), but even this method doesn't deliver satisfactory results for every bacterium.

An alternative comes in the form of methods using tiny cantilevers, which bend when RNA molecules bind to their surface, for example—and this bending can then be detected. RNA molecules are "transcripts" of genes and can be used as instructions for building proteins. In addition, RNA molecules can be used to detect resistance genes in the genetic material of bacteria.

No need for labeling or amplification

Writing in the journalGlobal Challenges, a team of scientists from the Department of Physics, the Department of Biomedicine and the Swiss Nanoscience Institute (SNI) at the University of Basel have now presented a cantilever testing system that allowed them to detect RNA from a single antibiotic resistant bacterium. With the new cantilever system, it is not necessary to amplify or label the samples for analysis.

The researchers began by attaching sequences of three genes associated with vancomycin resistance to the cantilevers and then exposed these prepared cantilevers to a flow of RNA extracted from bacteria. If RNA molecules from the resistance genes were present, the matching RNA fragments would bind to the cantilevers, causing them to undergo nanoscale deflection that could be detected using a laser.

A clear signal even with point mutations

This method allowed the detection of not only resistance genes, but also individual point mutations associated with them. To study this, the researchers used coupled to genes responsible for resistance to ampicillin and other betalactam antibiotics.

"The big advantage of the method we've developed is its speed and sensitivity," says Dr. François Huber, first author of the paper. "We succeeded in detecting tiny quantities of specific RNA fragments within five minutes." In the case of single mutations, the detected RNA quantities corresponded to about 10 bacteria. When it came to detecting entire resistance genes, the researchers obtained a clear signal even with an amount of RNA that corresponded to a single bacterium.

"If we can detect specific or mutations in the genome of bacteria, then we know what antibiotic resistance the bacteria will exhibit," explains Professor Adrian Egli from University Hospital Basel, whose team played an essential role in the study. "Our work in the hospital would benefit from this kind of reliable and sensitive information about the resistance of pathogens."


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More information: François Huber et al. Rapid and Ultrasensitive Detection of Mutations and Genes Relevant to Antimicrobial Resistance in Bacteria, Global Challenges (2020). DOI: 10.1002/gch2.202000066
Citation: Quick and sensitive identification of multidrug-resistant germs (2020, December 7) retrieved 21 April 2021 from https://phys.org/news/2020-12-quick-sensitive-identification-multidrug-resistant-germs.html
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