• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

时间可编程药物给药允许在体外操纵、抑制和逆转抗生素耐药性。

Time-programmable drug dosing allows the manipulation, suppression and reversal of antibiotic drug resistance in vitro.

机构信息

WestCHEM, School of Chemistry, The University of Glasgow, Glasgow G12 8QQ, UK.

Quantitative Biology Center, RIKEN, 6-2-3 Furuedai, Suita, Osaka 565-0874, Japan.

出版信息

Nat Commun. 2017 Jun 8;8:15589. doi: 10.1038/ncomms15589.

DOI:10.1038/ncomms15589
PMID:28593940
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5472167/
Abstract

Multi-drug strategies have been attempted to prolong the efficacy of existing antibiotics, but with limited success. Here we show that the evolution of multi-drug-resistant Escherichia coli can be manipulated in vitro by administering pairs of antibiotics and switching between them in ON/OFF manner. Using a multiplexed cell culture system, we find that switching between certain combinations of antibiotics completely suppresses the development of resistance to one of the antibiotics. Using this data, we develop a simple deterministic model, which allows us to predict the fate of multi-drug evolution in this system. Furthermore, we are able to reverse established drug resistance based on the model prediction by modulating antibiotic selection stresses. Our results support the idea that the development of antibiotic resistance may be potentially controlled via continuous switching of drugs.

摘要

多药策略已被尝试用于延长现有抗生素的疗效,但收效有限。在这里,我们表明,通过交替使用抗生素对体外多重耐药大肠杆菌的进化可以进行人为控制。我们使用一种多重细胞培养系统发现,在某些抗生素组合之间切换可以完全抑制对其中一种抗生素的耐药性发展。利用这些数据,我们开发了一个简单的确定性模型,该模型使我们能够根据该系统中多药进化的命运进行预测。此外,我们还能够根据模型预测通过调节抗生素选择压力来逆转已建立的耐药性。我们的研究结果支持这样一种观点,即通过持续药物切换,抗生素耐药性的发展可能具有潜在的控制效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59ef/5472167/83f1f333e541/ncomms15589-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59ef/5472167/f27f4f8fb8e3/ncomms15589-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59ef/5472167/a08bbe3b46f0/ncomms15589-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59ef/5472167/9fd0be849e42/ncomms15589-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59ef/5472167/3dcc6376647c/ncomms15589-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59ef/5472167/83f1f333e541/ncomms15589-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59ef/5472167/f27f4f8fb8e3/ncomms15589-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59ef/5472167/a08bbe3b46f0/ncomms15589-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59ef/5472167/9fd0be849e42/ncomms15589-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59ef/5472167/3dcc6376647c/ncomms15589-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/59ef/5472167/83f1f333e541/ncomms15589-f5.jpg

相似文献

1
Time-programmable drug dosing allows the manipulation, suppression and reversal of antibiotic drug resistance in vitro.时间可编程药物给药允许在体外操纵、抑制和逆转抗生素耐药性。
Nat Commun. 2017 Jun 8;8:15589. doi: 10.1038/ncomms15589.
2
Modified Antibiotic Adjuvant Ratios Can Slow and Steer the Evolution of Resistance: Co-amoxiclav as a Case Study.改良抗生素佐剂比可减缓并引导耐药性的进化:以复方阿莫西林作为案例研究。
mBio. 2019 Sep 17;10(5):e01831-19. doi: 10.1128/mBio.01831-19.
3
Suppression of antibiotic resistance acquisition by combined use of antibiotics.联合使用抗生素对抗生素耐药性获得的抑制作用。
J Biosci Bioeng. 2015 Oct;120(4):467-9. doi: 10.1016/j.jbiosc.2015.02.003. Epub 2015 Mar 5.
4
High-throughput identification and rational design of synergistic small-molecule pairs for combating and bypassing antibiotic resistance.用于对抗和规避抗生素耐药性的协同小分子对的高通量鉴定与合理设计。
PLoS Biol. 2017 Jun 20;15(6):e2001644. doi: 10.1371/journal.pbio.2001644. eCollection 2017 Jun.
5
CombiANT: Antibiotic interaction testing made easy.CombiANT:让抗生素相互作用检测变得轻松。
PLoS Biol. 2020 Sep 17;18(9):e3000856. doi: 10.1371/journal.pbio.3000856. eCollection 2020 Sep.
6
Antidepressant fluoxetine induces multiple antibiotics resistance in Escherichia coli via ROS-mediated mutagenesis.抗抑郁药氟西汀通过 ROS 介导的突变诱导大肠杆菌产生多种抗生素耐药性。
Environ Int. 2018 Nov;120:421-430. doi: 10.1016/j.envint.2018.07.046. Epub 2018 Aug 18.
7
The impact of aztreonam-clavulanic acid exposure on gene expression and mutant selection using a multidrug-resistant .氨曲南-克拉维酸暴露对使用多重耐药菌的基因表达和突变体选择的影响
Microbiol Spectr. 2025 Mar 4;13(3):e0178224. doi: 10.1128/spectrum.01782-24. Epub 2025 Feb 11.
8
Cell-wall-inhibiting antibiotic combinations with activity against multidrug-resistant Klebsiella pneumoniae and Escherichia coli.具有抗多药耐药肺炎克雷伯菌和大肠埃希菌活性的细胞壁抑制抗生素组合。
Clin Microbiol Infect. 2014 Apr;20(4):O267-73. doi: 10.1111/1469-0691.12374. Epub 2013 Oct 2.
9
Identification of novel in vitro antibacterial action of cloprostenol and evaluation of other non-antibiotics against multi-drug resistant A. baumannii.鉴定氯前列醇的新型体外抗菌作用,并评估其他非抗生素类药物对多重耐药鲍曼不动杆菌的作用。
J Antibiot (Tokyo). 2020 Jan;73(1):72-75. doi: 10.1038/s41429-019-0244-2. Epub 2019 Oct 4.
10
A mechanistic approach to optimize combination antibiotic therapy.一种优化联合抗生素治疗的机制性方法。
Biosystems. 2025 Feb;248:105385. doi: 10.1016/j.biosystems.2024.105385. Epub 2024 Dec 24.

引用本文的文献

1
Evolutionary drivers of divergent collateral sensitivity responses during antibiotic therapy.抗生素治疗期间不同侧支敏感性反应的进化驱动因素。
Nat Ecol Evol. 2025 Aug 22. doi: 10.1038/s41559-025-02831-3.
2
Unlocking the potential of experimental evolution to study drug resistance in pathogenic fungi.挖掘实验进化在研究致病真菌耐药性方面的潜力。
NPJ Antimicrob Resist. 2024 Dec 12;2(1):48. doi: 10.1038/s44259-024-00064-1.
3
Collateral sensitivity counteracts the evolution of antifungal drug resistance in Candida auris.Candida auris 中的共敏现象可拮抗抗真菌药物耐药性的进化。

本文引用的文献

1
Pharmacokinetically-based prediction of the effects of antibiotic combinations on resistant Staphylococcus aureus mutants: in vitro model studies with linezolid and rifampicin.基于药代动力学的抗生素联合用药对耐甲氧西林金黄色葡萄球菌突变体影响的预测:利奈唑胺和利福平的体外模型研究
J Chemother. 2017 Aug;29(4):220-226. doi: 10.1080/1120009X.2016.1245174. Epub 2016 Oct 17.
2
Compounds that select against the tetracycline-resistance efflux pump.对四环素抗性外排泵具有选择性作用的化合物。
Nat Chem Biol. 2016 Nov;12(11):902-904. doi: 10.1038/nchembio.2176. Epub 2016 Sep 19.
3
Multidrug evolutionary strategies to reverse antibiotic resistance.
Nat Microbiol. 2024 Nov;9(11):2954-2969. doi: 10.1038/s41564-024-01811-w. Epub 2024 Oct 29.
4
Distinguishing mutants that resist drugs via different mechanisms by examining fitness tradeoffs.通过考察适应性权衡,区分通过不同机制抵抗药物的突变体。
Elife. 2024 Sep 10;13:RP94144. doi: 10.7554/eLife.94144.
5
In Vitro Resistance-Predicting Studies and In Vitro Resistance-Related Parameters-A Hit-to-Lead Perspective.体外抗性预测研究及体外抗性相关参数——从苗头化合物到先导化合物的视角
Pharmaceuticals (Basel). 2024 Aug 15;17(8):1068. doi: 10.3390/ph17081068.
6
Holistic understanding of trimethoprim resistance in using an integrative approach of genome-wide association study, resistance reconstruction, and machine learning.采用全基因组关联研究、耐药重建和机器学习的综合方法对 使用中的甲氧苄啶耐药进行整体理解。
mBio. 2024 Sep 11;15(9):e0136024. doi: 10.1128/mbio.01360-24. Epub 2024 Aug 9.
7
Laboratory Evolution of Antimicrobial Resistance in Bacteria to Develop Rational Treatment Strategies.细菌对抗菌药物耐药性的实验室进化以制定合理的治疗策略。
Antibiotics (Basel). 2024 Jan 18;13(1):94. doi: 10.3390/antibiotics13010094.
8
Distinguishing mutants that resist drugs via different mechanisms by examining fitness tradeoffs.通过研究适应性权衡来区分通过不同机制抗药的突变体。
bioRxiv. 2024 Jun 11:2023.10.17.562616. doi: 10.1101/2023.10.17.562616.
9
Sequential antibiotic therapy in the laboratory and in the patient.序贯抗生素治疗:实验室与临床。
J R Soc Interface. 2023 Jan;20(198):20220793. doi: 10.1098/rsif.2022.0793. Epub 2023 Jan 4.
10
Investigations into the antibacterial effects and potential mechanism of gambogic acid and neogambogic acid.藤黄酸和新藤黄酸的抗菌作用及潜在机制研究
Front Microbiol. 2022 Dec 12;13:1045291. doi: 10.3389/fmicb.2022.1045291. eCollection 2022.
逆转抗生素耐药性的多药进化策略。
Science. 2016 Jan 1;351(6268):aad3292. doi: 10.1126/science.aad3292.
4
Suppression of Emergence of Resistance in Pathogenic Bacteria: Keeping Our Powder Dry, Part 2.抑制病原菌耐药性的产生:做好充分准备,第二部分
Antimicrob Agents Chemother. 2015 Dec 28;60(3):1194-201. doi: 10.1128/AAC.02231-15.
5
Suppression of Emergence of Resistance in Pathogenic Bacteria: Keeping Our Powder Dry, Part 1.抑制病原菌耐药性的产生:做好准备,第一部分
Antimicrob Agents Chemother. 2015 Dec 28;60(3):1183-93. doi: 10.1128/AAC.02177-15.
6
Temporal variation in antibiotic environments slows down resistance evolution in pathogenic Pseudomonas aeruginosa.抗生素环境的时间变化减缓了致病性铜绿假单胞菌的耐药性进化。
Evol Appl. 2015 Dec;8(10):945-55. doi: 10.1111/eva.12330. Epub 2015 Oct 7.
7
Phenotypic changes associated with the fitness cost in antibiotic resistant Escherichia coli strains.与抗生素抗性大肠杆菌菌株适应性代价相关的表型变化。
Mol Biosyst. 2016 Feb;12(2):414-20. doi: 10.1039/c5mb00590f.
8
Quantifying the Determinants of Evolutionary Dynamics Leading to Drug Resistance.量化导致耐药性的进化动力学决定因素。
PLoS Biol. 2015 Nov 18;13(11):e1002299. doi: 10.1371/journal.pbio.1002299. eCollection 2015.
9
Steering Evolution with Sequential Therapy to Prevent the Emergence of Bacterial Antibiotic Resistance.采用序贯疗法引导进化以预防细菌抗生素耐药性的出现。
PLoS Comput Biol. 2015 Sep 11;11(9):e1004493. doi: 10.1371/journal.pcbi.1004493. eCollection 2015 Sep.
10
Phenotypic convergence in bacterial adaptive evolution to ethanol stress.细菌对乙醇胁迫适应性进化中的表型趋同
BMC Evol Biol. 2015 Sep 3;15:180. doi: 10.1186/s12862-015-0454-6.