Antibiotic candidates for Gram-positive bacterial infections induce multidrug resistance

IF 15.8 1区 医学 Q1 CELL BIOLOGY Science Translational Medicine Pub Date : 2025-01-08 DOI:10.1126/scitranslmed.adl2103
Ana Martins, Fanni Judák, Zoltán Farkas, Petra Szili, Gábor Grézal, Bálint Csörgő, Márton Simon Czikkely, Elvin Maharramov, Lejla Daruka, Réka Spohn, Dávid Balogh, Andreea Daraba, Szilvia Juhász, Máté Vágvölgyi, Attila Hunyadi, Yihui Cao, Zhenquan Sun, Xuechen Li, Balázs Papp, Csaba Pál
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Abstract

Several 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.
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革兰氏阳性细菌感染的候选抗生素诱导多药耐药
针对革兰氏阳性细菌病原体的几种候选抗生素正在开发中,但它们的长期效用尚不清楚。为了调查这一问题,我们研究了尚未进入市场的抗生素耐药性的实验室演变。我们发现,除了化合物SCH79797外,金黄色葡萄球菌通常很容易产生抗生素耐药性。在这些候选抗生素与目前临床使用的抗生素(包括万古霉素、达托霉素和有前途的候选抗生素teixobactin)之间检测到交叉耐药。这些模式是由重叠的分子机制通过调控系统的突变驱动的。特别是,在无脊椎动物感染模型中,teixobtin耐药细菌表现出临床相关的多药耐药并保持其毒力,引起了人们的关注。更一般地说,我们证明对候选抗生素的假定抗性突变已经存在于天然细菌群体中。因此,自然界中的抗生素耐药性可能很容易从对预先存在的遗传变异的选择中进化而来。我们的工作强调了在药物开发的早期阶段预测对候选抗生素耐药性的未来演变的重要性。
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来源期刊
Science Translational Medicine
Science Translational Medicine CELL BIOLOGY-MEDICINE, RESEARCH & EXPERIMENTAL
CiteScore
26.70
自引率
1.20%
发文量
309
审稿时长
1.7 months
期刊介绍: Science Translational Medicine is an online journal that focuses on publishing research at the intersection of science, engineering, and medicine. The goal of the journal is to promote human health by providing a platform for researchers from various disciplines to communicate their latest advancements in biomedical, translational, and clinical research. The journal aims to address the slow translation of scientific knowledge into effective treatments and health measures. It publishes articles that fill the knowledge gaps between preclinical research and medical applications, with a focus on accelerating the translation of knowledge into new ways of preventing, diagnosing, and treating human diseases. The scope of Science Translational Medicine includes various areas such as cardiovascular disease, immunology/vaccines, metabolism/diabetes/obesity, neuroscience/neurology/psychiatry, cancer, infectious diseases, policy, behavior, bioengineering, chemical genomics/drug discovery, imaging, applied physical sciences, medical nanotechnology, drug delivery, biomarkers, gene therapy/regenerative medicine, toxicology and pharmacokinetics, data mining, cell culture, animal and human studies, medical informatics, and other interdisciplinary approaches to medicine. The target audience of the journal includes researchers and management in academia, government, and the biotechnology and pharmaceutical industries. It is also relevant to physician scientists, regulators, policy makers, investors, business developers, and funding agencies.
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