Multiplex real-time PCR with high-resolution melting analysis for rapid identification of carbapenem and colistin resistance genes in clinical Enterobacterales isolates

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Authors: Sirirat Luk-in, Kamonrat Phopin, Sasina Bangmuangngam, Tanittha Chatsuwan, Dhammika Leshan Wannigama, Aye Mya Sithu Shein, Ratana Lawung, Tanawut Tantimongcolwat
Cited by: 1
References: 47

Abstract

Conventional susceptibility testing requires 18–48 h and often delays therapy, whereas existing molecular assays are costly and limited. Real-time PCR’s ubiquity in hospitals offers a rapid multiplex screening platform. We established a single-tube multiplex real-time PCR assay coupled with high-resolution melting analysis to detect seven resistance genes ( bla KPC , bla NDM , bla OXA-48-like , bla VIM , bla IMP , mcr-1 , and mcr-3 ). Validated on 577 clinical Enterobacterales isolates and a standard strain, the assay exhibited distinct melt peaks for each target, with intra- and inter-run CVs < 0.1%. Compared with reference PCR, the assay offered overall sensitivity of 97.3%, the specificity of 99.5%, the PPV of 99.7%, and the NPV of 95.4%, yielding a kappa coefficient of 0.936 (95% CI 0.913–0.958) with “high concordance”. Codetection of the bla NDM and bla OXA-48-like genes improved the sensitivity from 82.7% to 92.9% when precision melt analysis software was used. The assay demonstrated good quantitative analytical performance, with efficiencies ranging from 91 to 114% (R 2 = 0.96–0.99), and a minimum of 10 2 copies required to confidently detect all targets. In under 4 h, this cost-effective assay leverages existing platforms for comprehensive surveillance of carbapenem and colistin resistance, enabling timely antimicrobial stewardship and infection control.

Fields of Study & Subjects

Antibiotic Resistance in Bacteria Molecular Biology Techniques and Applications Bacterial Identification and Susceptibility Testing

Publication details

Journal / source
Scientific Reports
Publisher
Springer Science and Business Media LLC
Volume
16
Issue
1
Publication date
3 March 2026
Language
EN