d Ethionamide (ETH) is an antibiotic used for the treatment of multidrug-resistant (MDR) tuberculosis (TB) (MDR-TB), and its use may be limited with the emergence of resistance in the Mycobacterium tuberculosis population. ETH resistance in M. tuberculosis is phenomenon independent or cross related when accompanied with isoniazid (INH) resistance. In most cases, resistance to INH and ETH is explained by mutations in the inhA promoter and in the following genes: katG, ethA, ethR, mshA, ndh, and inhA. We sequenced the above genes in 64 M. tuberculosis isolates (n ؍ 57 ETH-resistant MDR-TB isolates; n ؍ 3 ETH-susceptible MDR-TB isolates; and n ؍ 4 fully susceptible isolates). Each isolate was tested for susceptibility to first-and second-line drugs using the agar proportion method. Mutations were observed in ETH-resistant MDR-TB isolates at the following rates: 100% in katG, 72% in ethA, 45.6% in mshA, 8.7% in ndh, and 33.3% in inhA or its promoter. Of the three ETH-susceptible MDR-TB isolates, all showed mutations in katG; one had a mutation in ethA, and another, in mshA and inhA. Finally, of the four fully susceptible isolates, two showed no detectable mutation in the studied genes, and two had mutations in mshA gene unrelated to the resistance. Mutations not previously reported were found in the ethA, mshA, katG, and ndh genes. The concordance between the phenotypic susceptibility testing to INH and ETH and the sequencing was 1 and 0.45, respectively. Among isolates exhibiting INH resistance, the high frequency of independent resistance and cross-resistance with ETH in the M. tuberculosis isolates suggests the need to confirm the susceptibility to ETH before considering it in the treatment of patients with MDR-TB. E thionamide (ETH), a structural analog of isoniazid (INH), is a second-line drug used in the treatment of multidrug-resistant tuberculosis (MDR-TB) (1). Both ETH and INH are classified as prodrugs that are activated by different mycobacterial enzymes. INH is activated by the katG-encoded catalase-peroxidase, and ETH is activated by the ethA-encoded monooxygenase (2, 3). The activated INH and ETH drugs share the same molecular target, i.e., the NADH-dependent enoyl-acyl carrier protein reductase InhA, which is involved in the long-chain mycolic acid biosynthesis pathway (4). Therefore, the cross-resistance between INH and ETH can be detected in Mycobacterium tuberculosis clinical isolates in the case of mutations affecting the common target, which may occur when patients have previously been treated with INH and not with ETH (5). The frequency of cross-resistance differs between countries: 100% in Korea (6), 95.12% in Argentina (7), 94% in Brazil (8), 62% in France (9), and 13.8% in Thailand (10).Resistance to INH and ETH is mainly due to the chromosomal mutations. The mutation-carrying genes, such as those encoding the enzymes KatG (11,12) and EthA (13,14), are associated with individual resistance to INH and ETH, respectively. Mutations at the inhA promoter region or inhA gene result in the ove...
BackgroundPhylogeographic composition of M. tuberculosis populations reveals associations between lineages and human populations that might have implications for the development of strategies to control the disease. In Latin America, lineage 4 or the Euro-American, is predominant with considerable variations among and within countries. In Colombia, although few studies from specific localities have revealed differences in M. tuberculosis populations, there are still areas of the country where this information is lacking, as is a comparison of Colombian isolates with those from the rest of the world.Principal FindingsA total of 414 M. tuberculosis isolates from adult pulmonary tuberculosis cases from three Colombian states were studied. Isolates were genotyped using IS6110-restriction fragment length polymorphism (RFLP), spoligotyping, and 24-locus Mycobacterial interspersed repetitive units variable number tandem repeats (MIRU-VNTRs). SIT42 (LAM9) and SIT62 (H1) represented 53.3% of isolates, followed by 8.21% SIT50 (H3), 5.07% SIT53 (T1), and 3.14% SIT727 (H1). Composite spoligotyping and 24-locus MIRU- VNTR minimum spanning tree analysis suggest a recent expansion of SIT42 and SIT62 evolved originally from SIT53 (T1). The proportion of Haarlem sublineage (44.3%) was significantly higher than that in neighboring countries. Associations were found between M. tuberculosis MDR and SIT45 (H1), as well as HIV-positive serology with SIT727 (H1) and SIT53 (T1).ConclusionsThis study showed the population structure of M. tuberculosis in several regions from Colombia with a dominance of the LAM and Haarlem sublineages, particularly in two major urban settings (Medellín and Cali). Dominant spoligotypes were LAM9 (SIT 42) and Haarlem (SIT62). The proportion of the Haarlem sublineage was higher in Colombia compared to that in neighboring countries, suggesting particular conditions of co-evolution with the corresponding human population that favor the success of this sublineage.
Homeless people are highly susceptible to tuberculosis. It has been suggested that this population have high rates of mental disorders associated with tuberculosis. We assessed tuberculosis incidence, its transmission patterns and association with socio-demographic factors and mental disorders in Colombian homeless people. Prospective study which socio-demographic characteristics and mental disorders were assessed through interviews. Sputa from patients with respiratory symptoms were processed and clinical isolates analyzed by IS6110-RFLP. Multivariate analysis performed by logistic regression model. From 426 homeless studied, tuberculosis incidence found was 7.9 %. 44 % of isolates were clustering. It was found high risk of having tuberculosis associated with income from drugs trade (OR: 3.40 [95 % CI: 1.28-9.05]), dysthymia (OR: 2.54 [95 % CI: 1.10-5.86]) and receiving food from other homeless (OR: 2.47 [95 % CI: 1.16-5.25]). Tuberculosis incidence and degree of transmission are high in homeless studied. Implementing programs to better control tuberculosis among homeless population must consider socio-demographic factors and mental disorders associated with the disease.
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