Development and Validation of Signature Sequence–Based PCR for Improved Molecular Diagnosis of Tuberculosis

Abstract

Reliable, fast, and affordable diagnosis for tuberculosis (TB) remains a challenge to reduce disease incidence in resource-poor countries. Tests based on nucleotide sequences that are signature to Mycobacterium tuberculosis have the potential to make a positive impact on case detection rates, which can eventually help control TB. Using extensive comparative bioinformatics approach, we mined the genome for M. tuberculosis-specific genes and identified four genes so-called signature sequence (SS). With <25% homology with other known genes/proteins of mycobacterial/nonmycobacterial origin in various databases, these SS genes are ideal targets for species-specific identification. Sputum from suspected patients was liquefied using novel complete liquefying reagent, and DNA was isolated. Samples from patients (n=417), reporting to TB clinics at two different hospitals, which met our inclusion criteria, were collected for this study. A small number (n=143) was used for initial standardization, and the remaining patient samples (n=274) were evaluated by SS and compared with smear microscopy, GeneXpert, culture, and clinical outcome. An overwhelming sensitivity of 97.0%, significantly higher than GeneXpert (95.0%), was seen. SS could pick all smear-negative, but culture-positive samples, along with other culture-negative samples; some of the latter were declared clinically positive. Our results yielded superior sensitivity and specificity through conventional PCR.