Highly Sensitive Detection of Isoniazid Heteroresistance in Mycobacterium Tuberculosis by Droplet Digital PCR
Yang Zheng, Hui Xia, Xundi Bao, Bing Zhao, Ping He, Yanlin Zhao
Infection and Drug Resistance · 2022-10
Abstract
Purpose: The drug resistance of Mycobacterium tuberculosis constitutes a major public health threat. Existing approaches make it challenging to detect low levels of drug-resistant TB, also known as heteroresistance (HR), in a population. The recently found droplet digital PCR (ddPCR) is a sensitive method for determining the precise amount of nucleic acid in a sample. We used ddPCR to test the Mycobacterium tuberculosis heteroresistance because it delivers more exact quantitative data without the need for a reference curve. Patients and Methods: A TaqMan-MGB probe mutation detection assay was developed in order to determine the mutant and wild-type sequences of the isoniazid resistance katG (315) gene. We produced heteroresistant MTB combinations, which were subsequently identified by ddPCR, qPCR, and MeltPro/INH. In addition, 21 clinical sputum samples with positive smears were used to validate each method’s capacity to determine HR in sputum. Results: We discovered that ddPCR can detect mutant sequences in as few as 0.01% of a combination. DeepMelt TB/INH, which is less sensitive in comparison, cannot detect HR with high resolution and requires a mutation rate of 50% to identify. qPCR likewise has a high resolution of 0.02%, but unlike ddPCR, it cannot determine the exact number of mutations. Our assay is applicable to sputum as well. ddPCR found a katG 315 substitution in two sputums with extremely low values of HR (0.26% and 0.14%). In 21 samples of clinical sputum, the HR prevalence of INH was 9.5%. Conclusion: This work demonstrates that a well-designed ddPCR HR detection test can detect low levels of HR with high accuracy and consistency and gives new information for the clinical diagnosis of drug resistance. Keywords: Mycobacterium tuberculosis , drug-resistant, isoniazid, heteroresistance
MeSH terms
- Mycobacterium tuberculosis
- Sputum
- Digital polymerase chain reaction
- Isoniazid
- TaqMan
- Tuberculosis
- Population
- Drug resistance
- Biology
- Real-time polymerase chain reaction
- Medicine
- Microbiology
- Virology