抗药性抗菌治疗策略。

Frontiers in antibiotics Pub Date : 2023-01-01 Epub Date: 2023-01-30 DOI:10.3389/frabi.2023.1093156
Jonathan I Batchelder, Patricia J Hare, Wendy W K Mok
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引用次数: 0

摘要

抗生素耐药性是对公共健康的一大威胁,有可能在未来几十年内每年夺走数百万人的生命。多年来对抗生素的必要施用和过度应用,导致产生了对许多现有治疗方法具有抗药性的菌株。由于开发新抗生素的成本高、难度大,抗药性细菌的出现速度超过了抗药性新药的推出速度。为解决这一问题,许多研究人员正致力于开发 "抗药性 "抗菌治疗策略--可减缓或阻止目标病原体产生抗药性的治疗方案。在这篇微型综述中,我们将概述新型抗药性治疗策略的主要实例。我们将讨论如何使用化合物来减少诱变,从而降低抗药性出现的可能性。然后,我们研究了抗生素循环和进化引导的有效性,其中一种抗生素迫使细菌种群对另一种抗生素产生敏感性。我们还考虑了联合疗法,这种疗法旨在破坏防御机制,并通过将两种抗生素结合在一起或将一种抗生素与抗体或噬菌体等其他疗法结合在一起来消灭具有潜在抗药性的病原体。最后,我们强调了这一领域前景广阔的未来发展方向,包括应用机器学习和个性化医疗来对抗抗生素耐药性的出现和战胜适应性病原体的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Resistance-resistant antibacterial treatment strategies.

Resistance-resistant antibacterial treatment strategies.

Resistance-resistant antibacterial treatment strategies.

Antibiotic resistance is a major danger to public health that threatens to claim the lives of millions of people per year within the next few decades. Years of necessary administration and excessive application of antibiotics have selected for strains that are resistant to many of our currently available treatments. Due to the high costs and difficulty of developing new antibiotics, the emergence of resistant bacteria is outpacing the introduction of new drugs to fight them. To overcome this problem, many researchers are focusing on developing antibacterial therapeutic strategies that are "resistance-resistant"-regimens that slow or stall resistance development in the targeted pathogens. In this mini review, we outline major examples of novel resistance-resistant therapeutic strategies. We discuss the use of compounds that reduce mutagenesis and thereby decrease the likelihood of resistance emergence. Then, we examine the effectiveness of antibiotic cycling and evolutionary steering, in which a bacterial population is forced by one antibiotic toward susceptibility to another antibiotic. We also consider combination therapies that aim to sabotage defensive mechanisms and eliminate potentially resistant pathogens by combining two antibiotics or combining an antibiotic with other therapeutics, such as antibodies or phages. Finally, we highlight promising future directions in this field, including the potential of applying machine learning and personalized medicine to fight antibiotic resistance emergence and out-maneuver adaptive pathogens.

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