En route towards an optimized high-throughput microbead-based genetic testing assay for Pyrazinamide resistance
6th Clinical Microbiology Conference
October 20-22, 2016 Rome, Italy

Harrison Magdinier Gomes

Oswaldo Cruz Foundation, Brazil

Posters & Accepted Abstracts: Clin Microbiol

Abstract:

Pyrazinamide is used as a first line drug in the treatment of tuberculosis. It should be converted by the Mycobacterium tuberculosis pyrazinamidase enzyme into pyrazinoic acid, as the active metabolite. Mutations in the pncA gene are related to M. tuberculosis pyrazinamide resistance, and seem to appear within the entire gene, hence, until now; sequencing was the single method to detect the pyrazinamide resistance at the genetic level. Recently Miotto et al., identified 280 pncA genetic variants and very high confidence mutations were found only in pyrazinamide resistant strains (85%). The goal of the current study is to develop a molecular method to detect mutations related to pyrazinamide resistance in the pncA gene, based on a microbead-based high-throughput suspension array format. To amplify the pncA gene, we use the DPO concept (Dual Priming Oligonucleotides) followed by a nested PCR with three conventional pair of primers that divides the gene into three fragments. We designed for the high confident mutations 30 wild-type/mutant probes couple. The assay was developed using pyrazinamide-resistant reference (sequenced) DNA isolates provided by the SRL in Stockholm. Out of 30 probes couples, 26 got significant signal/noise threshold to distinguish between wild-type and mutant alleles. The codon 175 presents two possible mutations that are related to resistance (ATG wt, GTG mut 1 and ATA mut 2) and based on currently probe only mut 2 was properly detected. Our model to detect pyrazinamide resistance still needs to be optimized to increase signal/noise level for some probe couples, and to detect new mutations. The detection of pyrazinamide resistance in this model will be associated to TB-SPRINT and TB-SPRINTplus our assays that allow detecting 1st and 2nd line drug-resistance associated genes.

Biography :

Email: magdinier@gmail.com