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影响范围：使耐药病原体敏感的进化策略。

mSphere of Influence: Evolutionary Strategies To Sensitize Drug-Resistant Pathogens.

机构信息

Department of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada

出版信息

mSphere. 2019 Jun 26;4(3):e00313-19. doi: 10.1128/mSphere.00313-19.

DOI:10.1128/mSphere.00313-19
PMID:31243075
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6595146/
Abstract

Rebecca S. Shapiro studies antimicrobial resistance and genetic interaction networks. In this mSphere of Influence article, she reflects on how the papers "Bacterial evolution of antibiotic hypersensitivity" by Lázár et al. (V. Lázár, G. Pal Singh, R. Spohn, I. Nagy, et al., Mol Syst Biol 9:700, 2013, https://doi.org/10.1038/msb.2013.57) and "Use of collateral sensitivity networks to design drug cycling protocols that avoid resistance development" by L. Imamovic and M. O. A. Sommer (Sci Transl Med 5:204ra132, 2013, https://doi.org/10.1126/scitranslmed.3006609) impacted her thinking about multigene interaction effects on drug resistance.

摘要

丽贝卡·S·夏皮罗（Rebecca S. Shapiro）研究抗生素耐药性和遗传相互作用网络。在本期《mSphere 影响力》文章中，她反思了拉扎尔等人的论文“细菌对抗生素敏感性的进化”（V. Lázár、G. Pal Singh、R. Spohn、I. Nagy 等人，Mol Syst Biol 9:700，2013，https://doi.org/10.1038/msb.2013.57）和伊玛莫维奇和奥默的论文“利用旁系敏感网络设计避免耐药性产生的药物循环方案”（L. Imamovic 和 M. O. A. Sommer，Sci Transl Med 5:204ra132，2013，https://doi.org/10.1126/scitranslmed.3006609）如何影响她对多基因相互作用对抗菌药物耐药性的思考。

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本文引用的文献

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Patterns of cross-resistance and collateral sensitivity between clinical antibiotics and natural antimicrobials.临床抗生素与天然抗菌剂之间的交叉耐药模式和协同敏感性模式。
Evol Appl. 2019 Jan 28;12(5):878-887. doi: 10.1111/eva.12762. eCollection 2019 Jun.
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Conserved collateral antibiotic susceptibility networks in diverse clinical strains of Escherichia coli.不同临床株大肠杆菌中保守的旁系抗生素敏感性网络。
Nat Commun. 2018 Sep 10;9(1):3673. doi: 10.1038/s41467-018-06143-y.
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Antibiotic-resistant bacteria show widespread collateral sensitivity to antimicrobial peptides.耐药菌对抗生素肽表现出广泛的交叉敏感性。
Nat Microbiol. 2018 Jun;3(6):718-731. doi: 10.1038/s41564-018-0164-0. Epub 2018 May 24.
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Antibiotic combination efficacy (ACE) networks for a Pseudomonas aeruginosa model.铜绿假单胞菌模型的抗生素联合疗效（ACE）网络。
PLoS Biol. 2018 Apr 30;16(4):e2004356. doi: 10.1371/journal.pbio.2004356. eCollection 2018 Apr.
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Drug-Driven Phenotypic Convergence Supports Rational Treatment Strategies of Chronic Infections.药物驱动的表型趋同支持慢性感染的合理治疗策略。
Cell. 2018 Jan 11;172(1-2):121-134.e14. doi: 10.1016/j.cell.2017.12.012. Epub 2018 Jan 4.
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Exploiting Temporal Collateral Sensitivity in Tumor Clonal Evolution.利用肿瘤克隆进化中的时间旁系敏感性
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Alternating antibiotic treatments constrain evolutionary paths to multidrug resistance.交替使用抗生素治疗会限制多重耐药性的进化路径。
Proc Natl Acad Sci U S A. 2014 Oct 7;111(40):14494-9. doi: 10.1073/pnas.1409800111. Epub 2014 Sep 22.
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Bacterial evolution of antibiotic hypersensitivity.抗生素过敏的细菌进化。
Mol Syst Biol. 2013 Oct 29;9:700. doi: 10.1038/msb.2013.57.
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Use of collateral sensitivity networks to design drug cycling protocols that avoid resistance development.利用旁系敏感网络设计避免耐药性产生的药物循环方案。
Sci Transl Med. 2013 Sep 25;5(204):204ra132. doi: 10.1126/scitranslmed.3006609.

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