Dataset Information

Integrated microfluidic card with TaqMan probes and high-resolution melt analysis to detect tuberculosis drug resistance mutations across 10 genes.

ABSTRACT:

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Genotypic methods for drug susceptibility testing of Mycobacterium tuberculosis are desirable to speed the diagnosis and proper therapy of tuberculosis (TB). However, the numbers of genes and polymorphisms implicated in resistance have proliferated, challenging diagnostic design. We developed a microfluidic TaqMan array card (TAC) that utilizes both sequence-specific probes and high-resolution melt analysis (HRM), providing two layers of detection of mutations. Twenty-seven primer pairs and 40 probes were designed to interrogate 3,200 base pairs of critical regions of the inhA, katG, rpoB, embB, rpsL, rrs, eis, gyrA, gyrB, and pncA genes. The method was evaluated on 230 clinical M. tuberculosis isolates from around the world, and it yielded 96.1% accuracy (2,431/2,530) in comparison to that of Sanger sequencing and 87% accuracy in comparison to that of the slow culture-based susceptibility testing. This TAC-HRM method integrates assays for 10 genes to yield fast, comprehensive, and accurate drug susceptibility results for the 9 major antibiotics used to treat TB and could be deployed to improve treatment outcomes.

Importance

Multidrug-resistant tuberculosis threatens global tuberculosis control efforts. Optimal therapy utilizes susceptibility test results to guide individualized treatment regimens; however, the susceptibility testing methods in use are technically difficult and slow. We developed an integrated TaqMan array card method with high-resolution melt analysis that interrogates 10 genes to yield a fast, comprehensive, and accurate drug susceptibility result for the 9 major antituberculosis antibiotics.

SUBMITTER: Pholwat S

PROVIDER: S-EPMC4357996 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:The TaqMan Array Card (TAC) system is a 384-well singleplex real-time PCR format that has been used to detect multiple infection targets. Here we developed an enteric TaqMan Array Card to detect 19 enteropathogens, including viruses (adenovirus, astrovirus, norovirus GII, rotavirus, and sapovirus), bacteria (Campylobacter jejuni/C. coli, Clostridium difficile, Salmonella, Vibrio cholerae, diarrheagenic Escherichia coli strains including enteroaggregative E. coli [EAEC], enterotoxigenic E. coli [ETEC], enteropathogenic E. coli [EPEC], and Shiga-toxigenic E. coli [STEC]), Shigella/enteroinvasive E. coli (EIEC), protozoa (Cryptosporidium, Giardia lamblia, and Entamoeba histolytica), and helminths (Ascaris lumbricoides and Trichuris trichiura), as well as two extrinsic controls to monitor extraction and amplification efficiency (the bacteriophage MS2 and phocine herpesvirus). Primers and probes were newly designed or adapted from published sources and spotted onto microfluidic cards. Fecal samples were spiked with extrinsic controls, and DNA and RNA were extracted using the QiaAmp Stool DNA minikit and the QuickGene RNA Tissue kit, respectively, and then mixed with Ag-Path-ID One Step real-time reverse transcription-PCR (RT-PCR) reagents and loaded into cards. PCR efficiencies were between 90% and 105%, with linearities of 0.988 to 1. The limit of detection of the assays in the TAC was within a 10-fold difference from the cognate assays performed on plates. Precision testing demonstrated a coefficient of variation of below 5% within a run and 14% between runs. Accuracy was evaluated for 109 selected clinical specimens and revealed an average sensitivity and specificity of 85% and 77%, respectively, compared with conventional methods (including microscopy, culture, and immunoassay) and 98% and 96%, respectively, compared with our laboratory-developed PCR-Luminex assays. This TAC allows fast, accurate, and quantitative detection of a broad spectrum of enteropathogens and is well suited for surveillance or clinical purposes.

Dataset Information

Integrated microfluidic card with TaqMan probes and high-resolution melt analysis to detect tuberculosis drug resistance mutations across 10 genes.

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