Direct Antimicrobial Susceptibility Testing on Clinical Urine Samples by Optical Tracking of Single Cell Division Events
| Autor: | Shelley E. Haydel, Wenwen Jing, Manni Mo, Nongjian Tao, Thomas E. Grys, Joseph Peterman, Michelle McBride, Shaopeng Wang, Jiapei Jiang, Rafael Iriya, Fenni Zhang, Yunze Yang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
medicine.drug_class Urinary system Antibiotics Antimicrobial susceptibility Microbial Sensitivity Tests 02 engineering and technology Urine 010402 general chemistry 01 natural sciences Article Biomaterials Antibiotic resistance Internal medicine Humans Medicine General Materials Science Bacteria business.industry General Chemistry 021001 nanoscience & nanotechnology Anti-Bacterial Agents 0104 chemical sciences Clinic visit Optical tracking Urinary Tract Infections Proper treatment 0210 nano-technology business Cell Division Biotechnology |
| Zdroj: | Small |
| ISSN: | 1613-6829 1613-6810 |
| DOI: | 10.1002/smll.202004148 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text