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Article: Antibiotic candidates for Gram-positive bacterial infections induce multidrug resistance

TitleAntibiotic candidates for Gram-positive bacterial infections induce multidrug resistance
Authors
Issue Date8-Jan-2025
PublisherAmerican Association for the Advancement of Science
Citation
Science Translational Medicine, 2025, v. 17, n. 780 How to Cite?
AbstractSeveral antibiotic candidates are in development against Gram-positive bacterial pathogens, but their long-term utility is unclear. To investigate this issue, we studied the laboratory evolution of resistance to antibiotics that have not yet reached the market. We found that, with the exception of compound SCH79797, antibiotic resistance generally readily evolves in Staphylococcus aureus. Cross-resistance was detected between such candidates and antibiotics currently in clinical use, including vancomycin, daptomycin, and the promising antibiotic candidate teixobactin. These patterns were driven by overlapping molecular mechanisms through mutations in regulatory systems. In particular, teixobactin-resistant bacteria displayed clinically relevant multidrug resistance and retained their virulence in an invertebrate infection model, raising concerns. More generally, we demonstrate that putative resistance mutations against candidate antibiotics are already present in natural bacterial populations. Therefore, antibiotic resistance in nature may evolve readily from the selection of preexisting genetic variants. Our work highlights the importance of predicting future evolution of resistance to antibiotic candidates at an early stage of drug development.
Persistent Identifierhttp://hdl.handle.net/10722/368172
ISSN
2023 Impact Factor: 15.8
2023 SCImago Journal Rankings: 6.510

 

DC FieldValueLanguage
dc.contributor.authorMartins, Ana-
dc.contributor.authorJudák, Fanni-
dc.contributor.authorFarkas, Zoltán-
dc.contributor.authorSzili, Petra-
dc.contributor.authorGrézal, Gábor-
dc.contributor.authorCsörgő, Bálint-
dc.contributor.authorCzikkely, Márton Simon-
dc.contributor.authorMaharramov, Elvin-
dc.contributor.authorDaruka, Lejla-
dc.contributor.authorSpohn, Réka-
dc.contributor.authorBalogh, Dávid-
dc.contributor.authorDaraba, Andreea-
dc.contributor.authorJuhász, Szilvia-
dc.contributor.authorVágvölgyi, Máté-
dc.contributor.authorHunyadi, Attila-
dc.contributor.authorCao, Yihui-
dc.contributor.authorSun, Zhenquan-
dc.contributor.authorLi, Xuechen-
dc.contributor.authorPapp, Balázs-
dc.contributor.authorPál, Csaba-
dc.date.accessioned2025-12-24T00:36:39Z-
dc.date.available2025-12-24T00:36:39Z-
dc.date.issued2025-01-08-
dc.identifier.citationScience Translational Medicine, 2025, v. 17, n. 780-
dc.identifier.issn1946-6234-
dc.identifier.urihttp://hdl.handle.net/10722/368172-
dc.description.abstractSeveral antibiotic candidates are in development against Gram-positive bacterial pathogens, but their long-term utility is unclear. To investigate this issue, we studied the laboratory evolution of resistance to antibiotics that have not yet reached the market. We found that, with the exception of compound SCH79797, antibiotic resistance generally readily evolves in Staphylococcus aureus. Cross-resistance was detected between such candidates and antibiotics currently in clinical use, including vancomycin, daptomycin, and the promising antibiotic candidate teixobactin. These patterns were driven by overlapping molecular mechanisms through mutations in regulatory systems. In particular, teixobactin-resistant bacteria displayed clinically relevant multidrug resistance and retained their virulence in an invertebrate infection model, raising concerns. More generally, we demonstrate that putative resistance mutations against candidate antibiotics are already present in natural bacterial populations. Therefore, antibiotic resistance in nature may evolve readily from the selection of preexisting genetic variants. Our work highlights the importance of predicting future evolution of resistance to antibiotic candidates at an early stage of drug development.-
dc.languageeng-
dc.publisherAmerican Association for the Advancement of Science-
dc.relation.ispartofScience Translational Medicine-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleAntibiotic candidates for Gram-positive bacterial infections induce multidrug resistance-
dc.typeArticle-
dc.identifier.doi10.1126/scitranslmed.adl2103-
dc.identifier.pmid39772773-
dc.identifier.scopuseid_2-s2.0-85215134973-
dc.identifier.volume17-
dc.identifier.issue780-
dc.identifier.eissn1946-6242-
dc.identifier.issnl1946-6234-

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