Antimicrobial susceptibility testing of Arcobacter butzleri and Arcobacter cryaerophilus isolated from buffalo milk with subclinical mastitis: A different approach

Author:

Altan FerayORCID,Yesilmen Alp SimtenORCID

Abstract

The aim of our study was the minimum inhibitory concentrations (MICs) of 9 antimicrobials in current use and 3 potentially new alternatives against Arcobacter spp. isolated from dairy buffaloes with subclinical mastitis, and to evaluate these parameters together with pharmacokinetic parameters. The Arcobacter isolates was isolated from milk samples collected from dairy buffaloes with subclinical mastitis. The susceptibility of Arcobacter strains to antimicrobials were determined with the NCCLS microdilution technique and, not seen the blur according to the recommendations at the lowest concentration of antibiotic. MIC value of vancomycin, erythromycin and tetracycline were not determined, and MIC value of ceftiofur, spiramycin and gentamicin have showed wide variations for isolated strains. However, cefquinome, tylosin, enrofloxacin and florfenicol were determined the best-performing agents against these strains. Antibiotics show concentration and time dependent killing, and studies have demonstrated the AUC/MIC, Cmax/MIC and t MIC ratios to be the best diviner of antibacterial effect. In the present study, based on  the MIC values determined for selected antimicrobial agents, and pharmacokinetic parameters,  amoxicillin, ceftiofur, cefquinome, enrofloxacin and florfenicol may be appropriate for the treatment of mastitis infections caused by susceptible Arcobacter spp. in buffaloes.

Publisher

National Documentation Centre (EKT)

Subject

General Veterinary

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3