Rapid diagnosis of multidrug-resistant tuberculosis (MDR-TB) is essential for the prompt initiation of effective second-line therapy to improve treatment outcome and limit transmission of this obstinate disease. A variety of molecular methods that enable the rapid detection of mutations implicated in MDR-TB have been developed. The sensitivity of the methods is dependent, in principle, on the repertoire of mutations being detected, which is typically limited to mutations in the genes rpoB, katG and the promoter region of inhA. In this study, a new reverse hybridization assay, REBA MTB-MDR (M&D), that probes mutations in the oxyR-ahpC intergenic region, in addition to those in rpoB, katG and the inhA promoter region, was evaluated. A set of 240 Mycobacterium tuberculosis clinical isolates from patients receiving retreatment regimens was subjected to conventional phenotypic drug-susceptibility testing (DST) and the REBA MTB-MDR assay. The nucleotide sequences of the loci known to be involved in drug resistance were determined for comparison. In brief, the results showed that the REBA MTB-MDR assay efficiently recognized nucleotide changes in the oxyR-ahpC intergenic region as well as those in rpoB, katG and the inhA promoter region with higher sensitivity, resulting in an 81.0 % detection rate for isoniazid resistance. Inclusion of the oxyR-ahpC intergenic region in the REBA MTB-MDR assay improved the overall sensitivity of molecular DST for MDR-TB from 73.1 to 79.9 %.
A better understanding of the relative importance of different spatial scale determinants on fish communities will eventually increase the accuracy and precision of their bioassessments. Many studies have described the influence of environmental variables on fish communities on multiple spatial scales. However, there is very limited information available on this topic for the East Asian monsoon region, including Korea. In this study, we evaluated the relationship between fish communities and environmental variables at multiple spatial scales using self-organizing map (SOM), random forest, and theoretical path models. The SOM explored differences among fish communities, reflecting environmental gradients, such as a longitudinal gradient from upstream to downstream, and differences in land cover types and water quality. The random forest model for predicting fish community patterns that used all 14 environmental variables was more powerful than a model using any single variable or other combination of environmental variables, and the random forest model was effective at predicting the occurrence of species and evaluating the contribution of environmental variables to that prediction. The theoretical path model described the responses of different species to their environment at multiple spatial scales, showing the importance of altitude, forest, and water quality factors to fish assemblages.
Background: Human papillomavirus (HPV) plays an important role in the development of cervical carcinoma. Although there is a general agreement that high levels of HPV are related to cervical cancer, the prevalence and distribution of HPV genotypes seems to vary by geographical region. This study was designed to investigate the prevalence of HPV genotypes in Gangwon Province, Korea. Methods: In total, 342 samples were examined by Pap smear and HPV-ID ® reverse blot hybridization assay (REBA) (M&D, Wonju, Korea). Results: Overall HPV positivity was 80.9% and 64.4% in women with abnormal and normal cytology by REBA, respectively. The five most common HPV types were: HPV 16, 53, 58, 56, and 33 in samples with abnormal cytology, and HPV 16, 53, 58, 70, and 18 in samples with normal cytology. Conclusions: The REBA can provide useful data regarding prevalence of HPV genotypes. Gangwon Province showed high prevalence of HPV infection in women. The most common HPV type in Gangwon Province was HPV16, and HPV 53, 58, 56, 70 were frequently present.
mRNA overexpression of six CTC-specific markers was detected by the CircleGen CTC RT-qDx assay with high specificity, and the obtained mRNA expression levels of CTC-specific markers might provide useful criteria to select appropriate anti-tumor treatment for breast cancer patients.
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