Direct Antimicrobial Susceptibility Testing on Clinical Urine Samples by Optical Tracking of Single Cell Division Events.
Direct Antimicrobial Susceptibility Testing on Clinical Urine Samples by Optical Tracking of Single Cell Division Events.
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DOI：
10.1002/smll.202004148
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发表时间：
2020-12
期刊：
影响因子：
--
通讯作者：
Wang S
中科院分区：
文献类型：
--
作者：
Zhang F;Jiang J;McBride M;Yang Y;Mo M;Iriya R;Peterman J;Jing W;Grys T;Haydel SE;Tao N;Wang S
随着抗生素耐药性的日益流行，迫切需要开发抗微生物敏感性检测(AST)技术。目前的挑战是在短时间内进行抗生素敏感性测试，直接使用临床样本，并在临床相关浓度的广泛动态范围内使用抗生素。在这里，我们开发了一种用于尿路感染(UTI)耐药细菌的护理点诊断技术，通过使用创新的大图像体积溶液散射成像(LVSI)系统直接对临床尿液样本进行成像，并使用单细胞分裂跟踪方法分析图像序列。单细胞分裂跟踪结合大容量成像的高灵敏度使直接对临床尿样进行抗生素敏感性快速检测成为可能。结果显示，60份临床尿样中有60份直接检测到细菌感染，其中30份临床标本为数字AST，与临床培养结果和现场琼脂平板验证结果100%一致。这项技术为精确的抗生素处方提供了机会，并在一次诊所就诊中迅速对患者进行适当的治疗。
With the increasing prevalence of antibiotic resistance, the need to develop antimicrobial susceptibility testing (AST) technologies is urgent. The current challenge has been to perform the antibiotic susceptibility testing in short time, directly with clinical samples, and with antibiotics over a broad dynamic range of clinically relevant concentrations. Here we develop a technology for point-of-care diagnosis of antimicrobial-resistant bacteria in urinary tract infections (UTI), by imaging the clinical urine samples directly with an innovative large-image-volume solution scattering imaging (LVSi) system and analyzing the image sequences with a single-cell division tracking method. The high sensitivity of single-cell division tracking associated with large volume imaging enabled rapid antibiotic susceptibility testing directly on the clinical urine samples. The results demonstrated direct detection of bacterial infections in 60 clinical urine samples with a 60 min LVSi video, and digital AST of 30 positive clinical samples with 100% categorical agreement with both the clinical culture results and the on-site agar plating validation results. This technology provides opportunities for precise antibiotic prescription and prompt proper treatment of the patient within a single clinic visit.
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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：
7.4
作者：
Lu, Yi;Gao, Jian;Zhang, Donna D.;Gau, Vincent;Liao, Joseph C.;Wong, Pak Kin
通讯作者：
Wong, Pak Kin
影响因子：
4
作者：
Lissandrello, C.;Inci, F.;Ekinci, K. L.
通讯作者：
Ekinci, K. L.