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January 30, 2025

Future antibiotics face early bacterial resistance challenges, studies show

High level of resistance to a newly developed antibiotic. Credit: Petra Szili
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High level of resistance to a newly developed antibiotic. Credit: Petra Szili

Researchers from the HUN-REN Biological Research Centre, Szeged (Hungary), have made a concerning discovery about the future of antibiotics. Two recent studies, published just days apart in and found that resistance can develop against new antibiotics even before they are widely used, compromising their effectiveness from the start. The studies focused on five critical bacterial species that cause major hospital infections and examined 18 new antibiotics, some already on the market and others still in development.

"New antibiotics are often marketed as resistance-free, but this claim relies on limited data", says Csaba Pál, Ph.D., principal investigator. "Our highlights a major issue: antibiotic development tends to prioritize broad-spectrum activity - that is the number of bacterial species a drug targets- over long-term sustainability. While many indeed offer a broader spectrum, this doesn't guarantee they will remain effective in the long run in clinical use."

The studies found that resistance developed rapidly against nearly all the tested antibiotics, defying earlier expectations. For example, teixobactin, once hailed as a revolutionary drug, was believed to be less prone to resistance. However, the research revealed that bacteria can adapt to it with this adaptation resulting in cross-resistance to other critical antibiotics.

Alarmingly, the team also found that resistance mutations may already exist in bacterial populations, likely due to the overuse of older antibiotics and the shared resistance mechanisms between those and new drugs. These pre-existing mutations could render even the newest drugs ineffective shortly after they are introduced into clinical use.

ESKAPE pathogens in the laboratory growing in Erlenmeyer flask and on Petri dishes. Credit: Petra Szili
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ESKAPE pathogens in the laboratory growing in Erlenmeyer flask and on Petri dishes. Credit: Petra Szili

Rethinking antibiotic development

The studies call for a fundamental shift in how antibiotics are developed. Drug companies must incorporate resistance studies early in the development process to anticipate and mitigate risks before antibiotics are released. Integrating resistance prediction and genetic surveillance into drug design could reduce the chances of failure.

Lejla Daruka, Ph.D., one of the lead authors, notes, "Some new antibiotics show more promise than others, as resistance develops more slowly or only in specific bacterial species. Understanding why these drugs perform better is the next crucial step."

The studies emphasize the importance of prioritizing antibiotics with novel modes of action to bypass existing resistance. In cases where only certain are prone to resistance, narrow-spectrum therapy could provide an effective alternative. Finally, the studies stress the urgency of responsible antibiotic use to slow down the evolution of and ensure the prolonged efficacy of new treatments in the future.

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More information: Lejla Daruka et al, ESKAPE pathogens rapidly develop resistance against antibiotics in development in vitro, Nature Microbiology (2025).

Ana Martins et al, Antibiotic candidates for Gram-positive bacterial infections induce multidrug resistance, Science Translational Medicine (2025).

Journal information: Science Translational Medicine , Nature Microbiology

Provided by HUN-REN Szegedi Biológiai Kutatóközpont

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New antibiotics face early resistance challenges, with resistance developing even before widespread use, compromising their effectiveness. Studies on five critical bacterial species and 18 new antibiotics reveal rapid resistance development, including cross-resistance to other drugs. Pre-existing resistance mutations, likely from older antibiotics, pose additional risks. A shift in antibiotic development is needed, emphasizing resistance studies and novel action modes to ensure long-term efficacy.

This summary was automatically generated using LLM.