3D-Printed Dip Slides Miniaturize Bacterial Identification and Antibiotic Susceptibility Tests Allowing Direct Mastitis Sample Analysis.

3D-Printed Dip Slides Miniaturize Bacterial Identification and Antibiotic Susceptibility Tests Allowing Direct Mastitis Sample Analysis.
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DOI:
10.3390/mi13060941
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发表时间:
2022-06-14
期刊:
影响因子:
3.4
通讯作者:
--
中科院分区:
工程技术3区
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--
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抗生素耐药性的早期检测仍然是选择和优化抗生素治疗的重要步骤。表型抗生素敏感性测试,包括最低抑菌浓度(MIC)的测量仍然是监测和诊断测试的关键。当前测试方法的局限性包括笨重的实验室仪器和费力的方法。此外,在抗生素敏感性测试之前需要从样品中分离出单一菌株的细菌延迟了结果。存在于样品中的细菌混合物也可能具有对单个菌株的改变的抗性谱,因此测量在一些样品中发现的生物体混合物的易感性可能是期望的。为了能够以简单快速的小型化形式同时进行MIC和细菌种类检测,为多样品毫流体浸片装置设计了3D打印框架,该装置将鉴定培养基面板与在Muëller-Hinton琼脂中稀释的一系列抗生素(氨苄青霉素、阿莫西林、阿米卡星、头孢他啶、头孢噻肟、氧氟沙星、土霉素、链霉素、庆大霉素和亚胺培南)相结合。我们的概念验证评估证实,在测量样品中MIC的同时直接检测一种以上的细菌是可能的,这使用参考菌株E进行了验证。大肠杆菌ATCC 25922、肺炎克雷伯氏菌ATCC 13883、铜绿假单胞菌ATCC 10145和金黄色葡萄球菌ATCC 12600,以及从阅读University Farm收集的乳腺炎乳样品。当测试混合物时,获得反映存在的最耐药生物体的MIC值(即,最高MIC),这表明可以直接从含有多种病原体的样品中估计混合物的最低有效抗生素浓度。我们的结论是,这种简单的小型化快速同时识别和抗生素敏感性测试方法可能适合直接测试农业样品,这是通过将传统测试缩小到一个简单的“浸渍和孵育”设备中来实现的,该设备可以在任何地方进行3D打印。
The early detection of antimicrobial resistance remains an essential step in the selection and optimization of antibiotic treatments. Phenotypic antibiotic susceptibility testing including the measurement of minimum inhibitory concentration (MIC) remains critical for surveillance and diagnostic testing. Limitations to current testing methods include bulky labware and laborious methods. Furthermore, the requirement of a single strain of bacteria to be isolated from samples prior to antibiotic susceptibility testing delays results. The mixture of bacteria present in a sample may also have an altered resistance profile to the individual strains, and so measuring the susceptibility of the mixtures of organisms found in some samples may be desirable. To enable simultaneous MIC and bacterial species detection in a simple and rapid miniaturized format, a 3D-printed frame was designed for a multi-sample millifluidic dip-slide device that combines panels of identification culture media with a range of antibiotics (Ampicillin, Amoxicillin, Amikacin, Ceftazidime, Cefotaxime, Ofloxacin, Oxytetracycline, Streptomycin, Gentamycin and Imipenem) diluted in Muëller–Hinton Agar. Our proof-of-concept evaluation confirmed that the direct detection of more than one bacterium parallel to measuring MIC in samples is possible, which is validated using reference strains E. coli ATCC 25922, Klebsiella pneumoniae ATCC 13883, Pseudomonas aeruginosa ATCC 10145, and Staphylococcus aureus ATCC 12600 and with mastitis milk samples collected from Reading University Farm. When mixtures were tested, a MIC value was obtained that reflected the most resistant organism present (i.e., highest MIC), suggesting it may be possible to estimate a minimum effective antibiotic concentration for mixtures directly from samples containing multiple pathogens. We conclude that this simple miniaturized approach to the rapid simultaneous identification and antibiotic susceptibility testing may be suitable for directly testing agricultural samples, which is achieved through shrinking conventional tests into a simple “dip-and-incubate” device that can be 3D printed anywhere.
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