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靶向基因转录可预防抗生素耐药性。

Targeting Gene Transcription Prevents Antibiotic Resistance.

作者信息

Agris Paul F

机构信息

Department of Medicine, Duke University School of Medicine, Durham, NC 27710, USA.

出版信息

Antibiotics (Basel). 2025 Mar 27;14(4):345. doi: 10.3390/antibiotics14040345.

DOI:10.3390/antibiotics14040345
PMID:40298535
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12024381/
Abstract

Innovative strategies are needed to curb the global health challenge of antibiotic resistance. The World Health Organization predicts that antibiotic resistance could lead to millions of deaths annually. Pharmaceutical experience has shown that modest alterations of commonly-used broad-spectrum antibiotics readily elicit resistant strains. Thus, continued simple iterative improvements on current antibiotics are not sustainable. Traditional strategies target single sites with the goal of a broad-spectrum antibiotic. In comparison, a novel strategy targets multiple sites in single- or multidrug-resistant Gram-positive bacterial pathogens. The objective is to exploit the mechanisms by which pathogenic bacteria require genes for transcriptional regulation. Transcription regulatory factors can be manipulated and their functions disrupted to hamper bacterial viability. Some transcription factors regulate one or more steps in metabolic pathways. Transcription factors are not always proteins; some are small-molecule metabolites triggering genetic functions through riboswitches, and others are RNAs. Novel agents have been discovered with computer-simulated docking to an unusual transcription regulatory site in nascent bacterial mRNA. These compounds exhibit innovative chemistries and modes of action that inhibit bacterial growth by binding to and blocking critical Gram-positive mRNA functions. The tRNA-dependent transcription regulation of amino acid metabolism illustrates the possibilities of novel strategies to inhibit antibiotic-resistant growth and thwart the emergence of novel resistant strains.

摘要

需要创新策略来应对抗生素耐药性这一全球健康挑战。世界卫生组织预测,抗生素耐药性每年可能导致数百万例死亡。制药经验表明,对常用广谱抗生素进行适度改变很容易引发耐药菌株。因此,对现有抗生素持续进行简单的迭代改进是不可持续的。传统策略以单一靶点为目标,旨在研发广谱抗生素。相比之下,一种新策略针对单药耐药或多药耐药的革兰氏阳性细菌病原体中的多个靶点。其目的是利用病原菌转录调控所需基因的机制。转录调节因子可以被操纵,其功能被破坏,从而阻碍细菌的生存能力。一些转录因子调节代谢途径中的一个或多个步骤。转录因子并不总是蛋白质;有些是通过核糖开关触发基因功能的小分子代谢物,还有一些是RNA。通过计算机模拟对接新生细菌mRNA中一个不寻常的转录调控位点,发现了新型药物。这些化合物展现出创新的化学性质和作用模式,通过结合并阻断关键的革兰氏阳性mRNA功能来抑制细菌生长。氨基酸代谢的tRNA依赖性转录调控说明了抑制抗生素耐药性生长和阻止新型耐药菌株出现的新策略的可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd00/12024381/2a7c7b2650c9/antibiotics-14-00345-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd00/12024381/4bc36a0a302a/antibiotics-14-00345-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd00/12024381/2a7c7b2650c9/antibiotics-14-00345-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd00/12024381/4bc36a0a302a/antibiotics-14-00345-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd00/12024381/2a7c7b2650c9/antibiotics-14-00345-g001.jpg

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本文引用的文献

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Nat Rev Mol Cell Biol. 2024 May;25(5):396-415. doi: 10.1038/s41580-023-00694-9. Epub 2024 Jan 19.
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Modeling methyl-sensitive transcription factor motifs with an expanded epigenetic alphabet.用扩展的表观遗传字母表对甲基敏感转录因子基序进行建模。
Genome Biol. 2024 Jan 8;25(1):11. doi: 10.1186/s13059-023-03070-0.
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Antimicrobial resistance expansion in pathogens: a review of current mitigation strategies and advances towards innovative therapy.
病原体中抗菌药物耐药性的扩展:当前缓解策略及创新疗法进展综述
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Comparative Assessment of Pose Prediction Accuracy in RNA-Ligand Docking.RNA-配体对接中姿态预测准确性的比较评估
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Strategies and progresses for enhancing targeted antibiotic delivery.增强靶向抗生素递送的策略和进展。
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