A molecular platform for the diagnosis of multidrug-resistant and pre-extensively drug-resistant tuberculosis based on single nucleotide polymorphism mutations present in Colombian isolates of Mycobacterium tuberculosis

Developing a fast, inexpensive, and specific test that reflects the mutations present in Mycobacterium tuberculosis isolates according to geographic region is the main challenge for drug-resistant tuberculosis (TB) control. The objective of this study was to develop a molecular platform to make a rapid diagnosis of multidrug-resistant (MDR) and extensively drug-resistant TB based on single nucleotide polymorphism (SNP) mutations present in the rpoB, katG, inhA, ahpC, and gyrA genes from Colombian M. tuberculosis isolates. The amplification and sequencing of each target gene was performed. Capture oligonucleotides, which were tested before being used with isolates to assess the performance, were designed for wild type and mutated codons, and the platform was standardised based on the reverse hybridisation principle. This method was tested on DNA samples extracted from clinical isolates from 160 Colombian patients who were previously phenotypically and genotypically characterised as having susceptible or MDR M. tuberculosis. For our method, the kappa index of the sequencing results was 0,966, 0,825, 0,766, 0,740, and 0,625 for rpoB, katG, inhA, ahpC, and gyrA, respectively. Sensitivity and specificity were ranked between 90-100% compared with those of phenotypic drug susceptibility testing. Our assay helps to pave the way for implementation locally and for specifically adapted methods that can simultaneously detect drug resistance mutations to first and second-line drugs within a few hours.

Expression of Oct-4 in oncogenic miR-155-positive oral squamous carcinoma cells

Purpose: To identify effective molecular diagnostic methods for oral squamous cell carcinoma (OSCC) to facilitate treatment of the disease in its initial stages. Methods: To identify molecular markers, OSCC tissue samples were collected from cancer patients and healthy controls. CD44+ cells were sorted using quantitative real-time polymerase chain reaction (qRT-PCR). Immunohistochemistry and immunostaining experiments were performed to identify markers for OSCC. Results: The qRT-PCR data confirmed the presence of oncogenic miR-155 in the OSCC samples. The immunohistochemical and immunostaining results confirmed the expression of Oct-4, an important target for the early diagnosis of OSCC, in oncogenic miR-155-positive OSCCs. Conclusion: Detection of the expression of miR-155 and Oct-4, which are key molecular markers, may be useful in improving the early diagnosis of OSCC.