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恩诺沙星对肠道大肠杆菌的影响:体内数据的拟合数学模型。

The effect of enrofloxacin on enteric Escherichia coli: Fitting a mathematical model to in vivo data.

机构信息

Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, Raleigh, NC, United States of America.

Biomedical Sciences, Engineering, and Computing Group, Oak Ridge National Laboratory, Oak Ridge, TN, United States of America.

出版信息

PLoS One. 2020 Jan 31;15(1):e0228138. doi: 10.1371/journal.pone.0228138. eCollection 2020.

Abstract

Antimicrobial drugs administered systemically may cause the emergence and dissemination of antimicrobial resistance among enteric bacteria. To develop logical, research-based recommendations for food animal veterinarians, we must understand how to maximize antimicrobial drug efficacy while minimizing risk of antimicrobial resistance. Our objective is to evaluate the effect of two approved dosing regimens of enrofloxacin (a single high dose or three low doses) on Escherichia coli in cattle. We look specifically at bacteria above and below the epidemiological cutoff (ECOFF), above which the bacteria are likely to have an acquired or mutational resistance to enrofloxacin. We developed a differential equation model for the antimicrobial drug concentrations in plasma and colon, and bacteria populations in the feces. The model was fit to animal data of drug concentrations in the plasma and colon obtained using ultrafiltration probes. Fecal E. coli counts and minimum inhibitory concentrations were measured for the week after receiving the antimicrobial drug. We predict that the antimicrobial susceptibility of the bacteria above the ECOFF pre-treatment strongly affects the composition of the bacteria following treatment. Faster removal of the antimicrobial drugs from the colon throughout the study leads to improved clearance of bacteria above the ECOFF in the low dose regimen. If we assume a fitness cost is associated with bacteria above the ECOFF, the increased fitness costs leads to reduction of bacteria above the ECOFF in the low dose study. These results suggest the initial E. coli susceptibility is a strong indicator of how steers respond to antimicrobial drug treatment.

摘要

系统给予的抗菌药物可能会导致肠道细菌出现和传播抗菌耐药性。为了为兽医制定合乎逻辑且基于研究的建议,我们必须了解如何在最大限度地提高抗菌药物疗效的同时最小化抗菌耐药性的风险。我们的目的是评估恩诺沙星(单次高剂量或三次低剂量)两种批准的剂量方案对牛大肠杆菌的影响。我们特别关注流行病学截断值(ECOFF)以上和以下的细菌,因为这些细菌很可能对恩诺沙星具有获得性或突变性耐药性。我们为血浆和结肠中的抗菌药物浓度以及粪便中细菌种群开发了一个微分方程模型。该模型适合使用超滤探针获得的动物血浆和结肠中药物浓度的数据。在接受抗菌药物治疗后的一周内,测量粪便中大肠杆菌的数量和最小抑菌浓度。我们预测,治疗前 ECOFF 以上细菌的抗菌敏感性强烈影响治疗后细菌的组成。在整个研究过程中,从结肠中更快地清除抗菌药物可改善低剂量方案中 ECOFF 以上细菌的清除率。如果我们假设 ECOFF 以上的细菌存在适应性成本,那么增加的适应性成本会导致低剂量研究中 ECOFF 以上的细菌减少。这些结果表明,初始大肠杆菌的敏感性是衡量牛对抗菌药物治疗反应的一个重要指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22ab/6993981/34c3886a4522/pone.0228138.g001.jpg

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