1. Detection of drug resistant Mycobacterium tuberculosis by high-throughput sequencing of DNA isolated from acid fast bacilli smears.
- Author
-
Rowneki, Mazhgan, Aronson, Naomi, Du, Peicheng, Sachs, Paige, Blakemore, Robert, Chakravorty, Soumitesh, Levy, Shawn, Jones, Angela L., Trivedi, Geetika, Chebore, Sheilla, Addo, Dennis, Byarugaba, Denis K., Njobvu, Panganani Dalisani, Wabwire-Mangen, Frederick, Erima, Bernard, Ramos, Eric S., Evans, Carlton A, Hale, Braden, Mancuso, James D., and Alland, David
- Subjects
MYCOBACTERIUM tuberculosis ,NUCLEOTIDE sequence ,NUCLEIC acid isolation methods ,MULTIDRUG resistance ,BACILLUS (Bacteria) - Abstract
Background: Drug susceptibility testing for Mycobacterium tuberculosis (MTB) is difficult to perform in resource-limited settings where Acid Fast Bacilli (AFB) smears are commonly used for disease diagnosis and monitoring. We developed a simple method for extraction of MTB DNA from AFB smears for sequencing-based detection of mutations associated with resistance to all first and several second-line anti-tuberculosis drugs. Methods: We isolated MTB DNA by boiling smear content in a Chelex solution, followed by column purification. We sequenced PCR-amplified segments of the rpoB, katG, embB, gyrA, gyrB, rpsL, and rrs genes, the inhA, eis, and pncA promoters and the entire pncA gene. Results: We tested our assay on 1,208 clinically obtained AFB smears from Ghana (n = 379), Kenya (n = 517), Uganda (n = 262), and Zambia (n = 50). Coverage depth varied by target and slide smear grade, ranging from 300X to 12000X on average. Coverage of ≥20X was obtained for all targets in 870 (72%) slides overall. Mono-resistance (5.9%), multi-drug resistance (1.8%), and poly-resistance (2.4%) mutation profiles were detected in 10% of slides overall, and in over 32% of retreatment and follow-up cases. Conclusion: This rapid AFB smear DNA-based method for determining drug resistance may be useful for the diagnosis and surveillance of drug-resistant tuberculosis. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF