根据35°C和28°C产生的最小抑制浓度数据计算副溶血性弧菌的流行病学临界值。

IF 1.1 4区 农林科学 Q3 FISHERIES Diseases of aquatic organisms Pub Date : 2024-12-12 DOI:10.3354/dao03831
Peter Smith, Andrew Joseph, Craig Baker-Austin, Nisha Kang, Sandrine Baron, Laëtitia Le Devendec, Eric Jouy, Thomas Chisnall, Alistair R Davies, Stefan Schwarz, Andrea T Feßler, Tanja Ahrens, Johanna Jahnen, Thomas Alter, Susanne Fleischmann, Jens Andre Hammerl, Claudia Jäckel, Charles M Gieseker, Tina C Crosby, Elliott C Kittel, Ron A Miller, Trevor Alexander, Kayleigh Carranza, Claire B Burbick, Biyun Ching, Jun Heng Soh, You Rong Chng, Wai Kwan Wong, Charlene J Fernandez, Siow Foong Chang, David Verner-Jeffreys, Andy Powell
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引用次数: 0

摘要

开展这项工作是为了获得所需的数据,以确定采用标准化肉汤微量稀释方案测定的10种抗菌剂对副溶血性弧菌的最低抑制浓度(mic)的流行病学临界值。8个实验室进行了肉汤微量稀释试验,在35°C条件下孵育16至20小时,7个实验室还对同一分离株进行了28°C条件下孵育24至28小时的试验。通过ECOFFinder和标准化耐药性解释算法对数据进行了分析。头孢他啶、氟苯尼考和甲氧苄啶/磺胺甲恶唑的截止值分别为1、1和0.25/4.75µg ml-1,这两种温度下的数据计算结果相同。根据35°C和28°C的数据计算的截止值,恩诺沙星分别为0.25和0.5µg ml-1,庆大霉素为2和4µg ml-1,草胺酸为0.5和1µg ml-1,土霉素为2和1µg ml-1。通过比较单个实验室在35°C和28°C条件下获得的特定抗菌剂与特定分离物的MIC值,研究了孵育温度对MIC值的影响。结果表明,1473个配对的MIC值中有56%是相同的,而38%的MIC值相差不超过1个稀释步骤。在这项工作中产生的数据将提交给临床和实验室标准研究所,供其在设定国际商定的副溶血性弧菌流行病学临界值时考虑,这对于解释该物种的抗菌药物敏感性测试数据至关重要。
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Epidemiological cut-off values for Vibrio parahaemolyticus calculated from minimal inhibitory concentration data generated at 35 and 28°C.

This work was performed to generate the data needed to set epidemiological cut-off values for minimal inhibitory concentrations (MICs) of 10 antimicrobial agents against Vibrio parahaemolyticus determined using standardised broth microdilution protocols. Eight laboratories performed broth microdilution tests with incubation at 35°C for 16 to 20 h, and 7 also performed tests on the same isolates with incubation at 28°C for 24 to 28 h. Data were analysed by the ECOFFinder and normalised resistance interpretation algorithms. The cut-off values calculated for ceftazidime, florfenicol and trimethoprim/sulfamethoxazole, 1, 1 and 0.25/4.75 µg ml-1, respectively, were the same when calculated from data obtained at both temperatures. The cut-off values calculated from data obtained at 35°C and from data obtained at 28°C were 0.25 and 0.5 µg ml-1 for enrofloxacin, 2 and 4 µg ml-1 for gentamicin, 0.5 and 1 µg ml-1 for oxolinic acid and 2 and 1 µg ml-1 for oxytetracycline, respectively. The influence of incubation temperature on MIC values was investigated by comparing MICs obtained at 35 and 28°C for a specific antimicrobial agent with a particular isolate by an individual laboratory. Results showed that 56% of 1473 of these paired MIC values were identical, while 38% differed from one another by not more than 1 dilution step. The data generated in this work will be submitted to the Clinical and Laboratory Standards Institute for consideration in their setting of internationally agreed epidemiological cut-off values for V. parahaemolyticus that are essential for interpreting antimicrobial susceptibility testing data of this species.

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来源期刊
Diseases of aquatic organisms
Diseases of aquatic organisms 农林科学-兽医学
CiteScore
3.10
自引率
0.00%
发文量
53
审稿时长
8-16 weeks
期刊介绍: DAO publishes Research Articles, Reviews, and Notes, as well as Comments/Reply Comments (for details see DAO 48:161), Theme Sections and Opinion Pieces. For details consult the Guidelines for Authors. Papers may cover all forms of life - animals, plants and microorganisms - in marine, limnetic and brackish habitats. DAO''s scope includes any research focusing on diseases in aquatic organisms, specifically: -Diseases caused by coexisting organisms, e.g. viruses, bacteria, fungi, protistans, metazoans; characterization of pathogens -Diseases caused by abiotic factors (critical intensities of environmental properties, including pollution)- Diseases due to internal circumstances (innate, idiopathic, genetic)- Diseases due to proliferative disorders (neoplasms)- Disease diagnosis, treatment and prevention- Molecular aspects of diseases- Nutritional disorders- Stress and physical injuries- Epidemiology/epizootiology- Parasitology- Toxicology- Diseases of aquatic organisms affecting human health and well-being (with the focus on the aquatic organism)- Diseases as indicators of humanity''s detrimental impact on nature- Genomics, proteomics and metabolomics of disease- Immunology and disease prevention- Animal welfare- Zoonosis
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