| Literature DB >> 33252191 |
Fenni Zhang1, Jiapei Jiang1,2, Michelle McBride1, Yunze Yang1, Manni Mo1,3, Rafael Iriya1,4, Joseph Peterman1, Wenwen Jing1, Thomas Grys5, Shelley E Haydel1,6, Nongjian Tao1,4, Shaopeng Wang1.
Abstract
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, a technology for point-of-care diagnosis of antimicrobial-resistant bacteria in urinary tract infections, by imaging the clinical urine samples directly with an innovative large volume solution scattering imaging (LVSi) system and analyzing the image sequences with a single-cell division tracking method is developed. The high sensitivity of single-cell division tracking associated with large volume imaging enables rapid antibiotic susceptibility testing directly on the clinical urine samples. The results demonstrate 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 proper treatment of the patient within a single clinic visit.Entities:
Keywords: Escherichia coli; antibiotic resistance; antimicrobial susceptibility testing; intrinsic features; optical imaging; single-cell division tracking; urinary tract infections
Mesh:
Substances:
Year: 2020 PMID: 33252191 PMCID: PMC7770081 DOI: 10.1002/smll.202004148
Source DB: PubMed Journal: Small ISSN: 1613-6810 Impact factor: 13.281