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A rapid culture system uninfluenced by an inoculum effect increases reliability and convenience for drug susceptibility testing of Mycobacterium tuberculosis
- Source :
- Scientific Reports, Vol 8, Iss 1, Pp 1-11 (2018)
- Publication Year :
- 2017
-
Abstract
- The Disc Agarose Channel (DAC) system utilizes microfluidics and imaging technologies and is fully automated and capable of tracking single cell growth to produce Mycobacterium tuberculosis (MTB) drug susceptibility testing (DST) results within 3~7 days. In particular, this system can be easily used to perform DSTs without the fastidious preparation of the inoculum of MTB cells. Inoculum effect is one of the major problems that causes DST errors. The DAC system was not influenced by the inoculum effect and produced reliable DST results. In this system, the minimum inhibitory concentration (MIC) values of the first-line drugs were consistent regardless of inoculum sizes ranging from ~103 to ~108 CFU/mL. The consistent MIC results enabled us to determine the critical concentrations for 12 anti-tuberculosis drugs. Based on the determined critical concentrations, further DSTs were performed with 254 MTB clinical isolates without measuring an inoculum size. There were high agreement rates (96.3%) between the DAC system and the absolute concentration method using Löwenstein-Jensen medium. According to these results, the DAC system is the first DST system that is not affected by the inoculum effect. It can thus increase reliability and convenience for DST of MTB. We expect that this system will be a potential substitute for conventional DST systems.
- Subjects :
- 0301 basic medicine
Fastidious organism
Veterinary medicine
Multidisciplinary
030106 microbiology
lcsh:R
Antitubercular Agents
Colony Count, Microbial
lcsh:Medicine
Reproducibility of Results
Drug susceptibility
Microbial Sensitivity Tests
Mycobacterium tuberculosis
Biology
biology.organism_classification
Absolute concentration
Culture Media
03 medical and health sciences
Minimum inhibitory concentration
Fully automated
Colony count
lcsh:Q
lcsh:Science
Subjects
Details
- ISSN :
- 20452322
- Volume :
- 8
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Scientific reports
- Accession number :
- edsair.doi.dedup.....81050ed69c276657cbc4f202d173b720