‘Antimicrobial single-cell testing’ measures antibiotic effectiveness
Original story from the University of Basel (Switzerland).
Researchers have presented a new method for measuring how effectively antibiotics kill bacteria.
Antibiotic-resistant bacteria are one of the biggest health problems of our time. Due to mutations, bacteria are increasingly resisting the effects of common drugs, making these infections increasingly difficult to treat.
But even without resistance, bacteria are sometimes able to withstand antibiotics, especially if the bacteria are in a dormant state. Although they do not reproduce when in this state, they are not killed by the antibiotics either. This allows the bacteria to wake up and start growing again at a later time, for example after antibiotic therapy has been stopped. Particularly in the case of tuberculosis and other complex infections, which take many months to treat, selecting drugs that kill the bacteria and completely sterilize the infection is crucial.
Previous laboratory tests mainly reported whether a drug stopped bacteria from growing – not whether the bacteria actually died. Researchers led by Lucas Boeck from the Department of Biomedicine at the University of Basel (Switzerland) and University Hospital Basel (Switzerland) have developed a new method to better predict treatment success.
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Filming the fate of individual bacteria
The method, which the researchers call ‘antimicrobial single-cell testing’, is based on microscopic imaging of millions of individual bacteria under thousands of different conditions. “We use it to film each individual bacterium over several days and observe whether and how quickly a drug actually kills it,” explained Boeck. This makes it possible to measure precisely what proportion of the bacterial population is eliminated by the treatment and how efficiently.
To demonstrate their method, the research team tested 65 combination therapies on the tuberculosis pathogen Mycobacterium tuberculosis. The researchers also tested the method on bacterial samples from 400 patients with a different complex lung infection triggered by Mycobacterium abscessus, which is related to the tuberculosis pathogen.
Differences were observed firstly between different therapies and secondly between different bacterial strains in different patients. Experts call the latter antibiotic tolerance. Subsequent analyses revealed that certain genetic characteristics are responsible for how well the bacteria can ‘sit out’ the antibiotic treatment.
“The better bacteria tolerate an antibiotic, the lower the chances of therapeutic success are for the patients,” noted Boeck, summarizing the results. Compared with data from clinical studies and animal models, the results of antimicrobial single-cell testing provided a very good reflection of how well the different therapeutic agents eradicate infections.
Benefits for patients and drug development
The new method has so far been used as a research tool, but it could also be used in clinics and industry in the future. It could one day be beneficial both for patients and for drug development in a number of ways, commented Boeck. “Our test method allows us to tailor antibiotic therapies specifically to the bacterial strains in individual patients.” He added that a better understanding of the underlying genetics could one day enable even simpler and quicker antibiotic tolerance tests to be performed and could also help improve estimates of the efficacy of new drugs during their development.
“Last but not least, the data can help researchers to better understand the survival strategies of pathogens and thus lay the foundation for new, more effective therapeutic approaches,” concluded Boeck.
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