微流控梯度室中抗生素浓度梯度对硝酸盐还原和抗生素耐药性的影响

IF 5.4 2区 医学 Q2 MATERIALS SCIENCE, BIOMATERIALS
Lang Zhou, Reinaldo E Alcalde, Jinzi Deng, Baltazar Zuniga, Robert A Sanford, Bruce W Fouke, Charles J Werth
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引用次数: 5

摘要

为了探讨抗生素对污染土壤和地下水环境中硝酸盐细菌代谢循环的影响,我们在微流体梯度室(MGC)中比较了多黏菌素B (PMB)和环丙沙星(CIP)浓度梯度对希瓦氏菌MR-1野生型(WT)和鞭毛缺陷突变体(Δflag)的分布和活性的影响。进行了互补的批量实验,以测量两种抗生素的抑菌浓度与杀菌浓度,以及它们对硝酸盐还原的影响。先前的研究表明,PMB破坏细胞膜,而CIP抑制DNA合成。与这些作用模式一致,本工作的批量结果表明,相对于它们各自的最低抑制浓度(mic)(≥5倍MICPMB对≥20倍MICCIP), PMB在较低浓度下具有杀菌作用。在MGC中,两种抗生素的浓度梯度从0到50倍的MIC,通过一个2厘米的相互连接的孔网络,在两个浓度边界注入营养物质。WT细胞只能在PMB的MGC区域进入并还原硝酸盐,而CIP细胞在50x MICCIP时也可以;从这些MGCs中提取的细胞没有抗生素耐药性。由于无法移动,Δflag细胞的分布进一步局限于较低的抗生素浓度(≤1× MICPMB,≤43× MICCIP)。这些结果表明,隐球菌通过趋化迁移进入并减少了杀菌区硝酸盐,而不产生抗生素耐药性,这种迁移受到急性致死抗生素水平的抑制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of antibiotic concentration gradients on nitrate reduction and antibiotic resistance in a microfluidic gradient chamber.

In order to explore the impact of antibiotics on the bacterial metabolic cycling of nitrate within contaminated soil and groundwater environments, we compared the effects of polymyxin B (PMB) and ciprofloxacin (CIP) concentration gradients on the distribution and activity of a wild type (WT) and a flagella deficient mutant (Δflag) of Shewanella oneidensis MR-1 in a microfluidic gradient chamber (MGC). Complementary batch experiments were performed to measure bacteriostatic versus bactericidal concentrations of the two antibiotics, as well as their effect on nitrate reduction. Prior work demonstrated that PMB disrupts cell membranes while CIP inhibits DNA synthesis. Consistent with these modes of action, batch results from this work show that PMB is bactericidal at lower concentrations than CIP relative to their respective minimum inhibitory concentrations (MICs) (≥5× MICPMB vs. ≥20× MICCIP). Concentration gradients from 0 to 50× the MIC of both antibiotics were established in the MGC across a 2-cm interconnected pore network, with nutrients injected at both concentration boundaries. The WT cells could only access and reduce nitrate in regions of the MGC with PMB at <18× MICPMB, whereas this occurred with CIP up to 50× MICCIP; and cells extracted from these MGCs showed no antibiotic resistance. The distribution of Δflag cells was further limited to lower antibiotic concentrations (≤1× MICPMB, ≤43× MICCIP) due to inability of movement. These results indicate that S. oneidensis access and reduce nitrate in bactericidal regions via chemotactic migration without development of antibiotic resistance, and that this migration is inhibited by acutely lethal bactericidal levels of antibiotics.

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来源期刊
ACS Biomaterials Science & Engineering
ACS Biomaterials Science & Engineering Materials Science-Biomaterials
CiteScore
10.30
自引率
3.40%
发文量
413
期刊介绍: ACS Biomaterials Science & Engineering is the leading journal in the field of biomaterials, serving as an international forum for publishing cutting-edge research and innovative ideas on a broad range of topics: Applications and Health – implantable tissues and devices, prosthesis, health risks, toxicology Bio-interactions and Bio-compatibility – material-biology interactions, chemical/morphological/structural communication, mechanobiology, signaling and biological responses, immuno-engineering, calcification, coatings, corrosion and degradation of biomaterials and devices, biophysical regulation of cell functions Characterization, Synthesis, and Modification – new biomaterials, bioinspired and biomimetic approaches to biomaterials, exploiting structural hierarchy and architectural control, combinatorial strategies for biomaterials discovery, genetic biomaterials design, synthetic biology, new composite systems, bionics, polymer synthesis Controlled Release and Delivery Systems – biomaterial-based drug and gene delivery, bio-responsive delivery of regulatory molecules, pharmaceutical engineering Healthcare Advances – clinical translation, regulatory issues, patient safety, emerging trends Imaging and Diagnostics – imaging agents and probes, theranostics, biosensors, monitoring Manufacturing and Technology – 3D printing, inks, organ-on-a-chip, bioreactor/perfusion systems, microdevices, BioMEMS, optics and electronics interfaces with biomaterials, systems integration Modeling and Informatics Tools – scaling methods to guide biomaterial design, predictive algorithms for structure-function, biomechanics, integrating bioinformatics with biomaterials discovery, metabolomics in the context of biomaterials Tissue Engineering and Regenerative Medicine – basic and applied studies, cell therapies, scaffolds, vascularization, bioartificial organs, transplantation and functionality, cellular agriculture
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