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Revista Peruana de Medicina Experimental y Salud Publica

Print version ISSN 1726-4634


CAPCHA A, Luis et al. Perfiles genéticos (IS6110) y patrones de resistencia en aislamientos de M. tuberculosis de pacientes con tuberculosis pulmonar. Lima Sur, Perú. Rev. perú. med. exp. salud publica [online]. 2005, vol.22, n.1, pp.4-11. ISSN 1726-4634.

Objectives: To know the genetic profile of M. tuberculosis, and to determine its drug resistance pattern in a population consisting in infected subjects from southern Lima using the IS610 genetic marker (RFLP-IS6110). Materials and Methods: Between october 2002 and april 2003 patients older than 15 years of age diagnosed with pulmonary tuberculosis (TB) by a positive sputum smear were included. Patients were recruited from health facilities in Villa Maria del Triunfo district and Maria Auxiliadora Hospital. Susceptibility testing for all first-line drugs was performed: rifampin (RIF), isoniazid (INH), streptomycin (SM), and ethambutol (EMB) using the proportion method, and genotyping was performed using the standard RFLP-IS6110 method. Information was collected from case registries in health facilities, as well as from clinical records. Results: Out of 118 M. tuberculosis isolates, 97 genetic profiles were identified, with between 2 to 15 bands per profile. 29.7% of isolates originated 14 genetic groups or clusters, while the others showed variable patterns in their bands. On te other hand, resistance profiles revealed that nearly 33% of participating subjects who never received any previous therapy had drug resistance, as well as 58% of those previously treated. Multidrug resistance was present in 8.42% and in 36% of those never before treated and those previously treated, respectively. Conclusions: This analysis revealed the existence of epidemiologically- or clonally-related genetic groups with no evidence for multidrug resistant strains transmission.

Keywords : Tuberculosis; M. tuberculosis/genotipification; Drug resístanse; Genetic code; Polymorphism; restriction fragment length; Molecular Epidemiology; Peru.

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