A Rapid Assessing Method of Drug Susceptibility Using Flow Cytometry for Isolates Resistant to Isoniazid, Rifampin, and Ethambutol

Background The current conventional drug susceptibility test (DST) for Mycobacterium tuberculosis (Mtb) takes several weeks of incubation to obtain results. As a rapid method, molecular DST requires only a few days to get the results but does not fully cover the phenotypic resistance. A new rapid me...

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Veröffentlicht in:Tuberculosis and respiratory diseases 2022-07, Vol.85 (3), p.264-272
Hauptverfasser: Sun-Kyoung Lee, Seung-Hun Baek, Min-Sun Hong, Jong-Seok Lee, Eun-Jin Cho, Ji-Im Lee, Sang-Nae Cho, Seok-Yong Eum
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Sprache:eng
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Zusammenfassung:Background The current conventional drug susceptibility test (DST) for Mycobacterium tuberculosis (Mtb) takes several weeks of incubation to obtain results. As a rapid method, molecular DST requires only a few days to get the results but does not fully cover the phenotypic resistance. A new rapid method based on the ability of viable Mtb bacilli to hydrolyze fluorescein diacetate to free fluorescein with detection of fluorescent mycobacteria by flow cytometric analysis, was recently developed. Methods To evaluate this cytometric method, we tested 39 clinical isolates which were susceptible or resistant to isoniazid (INH) or rifampin (RIF), or ethambutol (EMB) by phenotypic or molecular DST methods and compared the results. Results The susceptibility was determined by measuring the viability rate of Mtb and all the isolates which were tested with INH, RIF, and EMB showed susceptibility results concordant with those by the phenotypic solid and liquid media methods. The isolates having no mutations in the molecular DST but resistance in the conventional phenotypic DST were also resistant in this cytometric method. These results suggest that the flow cytometric DST method is faster than conventional agar phenotypic DST and may complement the results of molecular DST. Conclusion In conclusion, the cytometric method could provide quick and more accurate information that would help clinicians to choose more effective drugs.
ISSN:1738-3536
2005-6184
DOI:10.4046/trd.2021.0134