Rapid Antimicrobial Susceptibility Testing on Clinical Urine Samples by Video-Based Object Scattering Intensity Detection.
Rapid Antimicrobial Susceptibility Testing on Clinical Urine Samples by Video-Based Object Scattering Intensity Detection.
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DOI：
10.1021/acs.analchem.1c00019
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发表时间：
2021-05-11
影响因子：
7.4
通讯作者：
Wang S
中科院分区：
文献类型：
--
作者：
Zhang F;Jiang J;McBride M;Zhou X;Yang Y;Mo M;Peterman J;Grys T;Haydel SE;Tao N;Wang S
为了应对耐药性感染的持续公共卫生威胁，需要一种能够快速识别感染细菌病原体并同时在护理点环境中进行抗菌药物敏感性测试（AST）的技术。在这里，我们开发了一个技术点的照顾AST与低放大率的解决方案散射成像系统和真实的时间基于视频的目标散射强度检测方法。低放大倍数（1-2X）的光学器件为尿液样本中细菌的直接成像提供了足够的体积，避免了基于培养的细菌分离和富集的耗时过程。通过从短视频中减去空间和时间背景来获得来自样品中移动的细菌和颗粒的散射强度。散射强度的时间曲线与细菌生长速率和细菌对抗生素暴露的反应相关。与我们之前开发的基于图像的细菌跟踪和计数方法相比，这种简单的图像处理算法适应更广泛的细菌浓度范围，简化了样品制备，并大大降低了信号处理的计算成本。此外，这种简化的处理算法的开发简化了多路复用检测的实现，并允许实时信号读出，这对于即时AST应用是必不可少的。为了建立该方法，对130份临床尿液样本进行了检测，结果表明，在60-90 min内对UTI诊断的准确性为~92%。55份阳性临床样本的快速AST与临床培养结果和现场平行AST验证结果的分类一致率为98%。该技术为即时感染诊断和护理点环境中的准确抗生素处方提供了机会。建立了一套大体积溶液散射成像系统和一种用于目标散射强度检测的真实的实时背景去除算法，用于直接对临床尿样进行药物敏感性检测。抗生素耐药性的快速测定有助于在一次门诊就诊中对患者进行精确的抗生素处方和适当的治疗。
To combat the ongoing public health threat of antibiotic-resistant infections, a technology that can quickly identify infecting bacterial pathogens and concurrently perform antimicrobial susceptibility testing (AST) in point-of-care settings is needed. Here we develop a technology for point-of-care AST with a low-magnification solution scattering imaging system and a real time video-based object scattering intensity detection method. The low magnification (1–2X) optics provide sufficient volume for direct imaging of bacteria in urine samples, avoiding the time-consuming process of culture-based bacterial isolation and enrichment. Scattering intensity from moving bacteria and particles in the sample is obtained by subtracting both spatial and temporal background from a short video. The time profile of scattering intensity is correlated with the bacterial growth rate and bacterial response to antibiotic exposure. Compared to the image-based bacterial tracking and counting method we previously developed, this simple image processing algorithm accommodates a wider range of bacterial concentrations, simplifies sample preparation, and greatly reduces the computational cost of signal processing. Furthermore, development of this simplified processing algorithm eases implementation of multiplexed detection and allows real-time signal readout, which are essential for point-of-care AST applications. To establish the method, 130 clinical urine samples were tested, and the results demonstrated an accuracy of ~92% within 60–90 min for UTI diagnosis. Rapid AST of 55 positive clinical samples revealed 98% categorical agreement with both the clinical culture results and the on-site parallel AST validation results. This technology provides opportunities for prompt infection diagnosis and accurate antibiotic prescriptions in point-of-care settings. A large volume solution scattering imaging (LVSi) system and a real time background removal algorithm for object scattering intensity detection are developed for direct antimicrobial susceptibility testing on raw clinical urine samples. The rapid determination of antibiotic resistance helps with the precise antibiotic prescriptions and proper treatment of the patient within a single clinic visit.
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影响因子：
9.4
作者：
Hayden, Randall T.;Clinton, Lani K.;Bankowski, Matthew J.
通讯作者：
Bankowski, Matthew J.
影响因子：
16
作者：
Park, Seungkyung;Zhang, Yi;Lin, Shin;Wang, Tza-Huei;Yang, Samuel
通讯作者：
Yang, Samuel
DOI：
10.1038/nrmicro3432
发表时间：
2015-05
期刊：
Nature reviews. Microbiology
影响因子：
--
作者：
Flores-Mireles AL;Walker JN;Caparon M;Hultgren SJ
通讯作者：
Hultgren SJ
影响因子：
4.4
作者：
Foxman, Betsy
通讯作者：
Foxman, Betsy
影响因子：
4
作者：
Lissandrello, C.;Inci, F.;Ekinci, K. L.
通讯作者：
Ekinci, K. L.