Development of an RT-LAMP Assay for Detecting tet(M) in Enterococcus Species: Enhancing AMR Surveillance Within the One Health Sectors

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Abstract

The increasing prevalence of antimicrobial-resistant (AMR) bacteria in humans, animals, and the environment underscores the necessity for a rapid, sensitive, and specific method to identify resistance genes. Objectives: This study aims to develop a reliable detection tool for identifying the tetracycline-resistant gene tet(M) in Enterococcus species using a real-time loop-mediated isothermal amplification (RT-LAMP) assay. Real-time visualization through a turbidimeter enabled precise estimation of time-to-positivity for gene detection. Methodology: Six primers were designed using PrimerExplorer v.5, and the assay was optimized across different temperatures and incubation times. Validation was conducted by testing 52 tet(M)-positive clinical enterococci isolates and spiking urine samples from a healthy volunteer and a cow with tet(M)-positive Enterococcus species. Results: The tet(M) gene was detected as early as 33 min, with optimal amplification occurring within 60 min at 60 °C. The assay demonstrated 100% specificity with the established primers. The sigmoidal graphs were corroborated with visual confirmation methods, including a green color change (visible to the naked eye), green fluorescence (under UV light), and a 200 bp PCR product observed via agarose gel electrophoresis. Notably, the tet(M) RT-LAMP assay exhibited a detection limit of 0.001 pg/μL, significantly surpassing conventional PCR, which had a detection limit of 0.1 pg/μL. Conclusions: This rapid, cost-effective, highly sensitive, and specific tet(M) RT-LAMP assay holds significant promise as a surveillance tool for antimicrobial resistance monitoring within a One Health framework, particularly in low-resource countries.

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Mussa, E. A. M., Al-Maleki, A. R., Aljaberi, M. A., Alsalahi, A., Desa, M. N. M., Jasni, A. S., … Hamat, R. A. (2025). Development of an RT-LAMP Assay for Detecting tet(M) in Enterococcus Species: Enhancing AMR Surveillance Within the One Health Sectors. Diagnostics, 15(10). https://doi.org/10.3390/diagnostics15101213

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