Title of article
Molecular identification of Nocardia spp. collected from patients with symptom Tuberculosis
Author/Authors
Zaker Bostanabad، Saeed نويسنده Islamic Azad Uinversity, Parand Branch, Microbiology and Biology Department , , Hashemi Shahraki، Abdolrazagh نويسنده Institute Pasteur of Iran, Epidemiology Department , , Heidarieh، Parvin نويسنده Pathobiology Department, Alborz University of Medical Science, Karaj, Iran ,
Issue Information
ماهنامه با شماره پیاپی سال 2014
Pages
13
From page
1
To page
13
Abstract
The improved identification of isolates using molecular techniques have shown that the genus exhibits considerable taxonomic complexity and phenotypic base identification can be ambiguous. The aim of this study was to assess the species distribution of Nocardia strains mostly recovered from patients suspected of having tuberculosis. The clinical isolates were identified to species level using conventional tests and genotypic methods using single and multi locus sequence analysis (MLSA) of 16S rRNA and gyrB genes. Nocardiosis was diagnosed in 46 patients. The most frequent underlying condition were organ transplantation (6 patients; 13%), cancer (6 patients; 13%), human immunodeficiency virus (HIV) (6 patients; 13%), non-infectious chronic lung disease (5 patients; 10.8%) and tuberculosis (4 patients; 8.7%). Nocardia species was recovered from 46 different clinical specimens, the most common of which was bronchoalveolar lavage (BAL) (43.5%). In conclusion, infection caused by Nocardia species appears to be more common than is generally appreciated. The current study provides further evidence that Nocardia species are capable of causing a wide range of human diseases in healthy and immunocompromised patients. MLSA is a reliable method for accurate species identification of Nocardia isolates and would be more feasible for routine use in clinical laboratories.
Journal title
Journal of Genes, Microbes and Immunity
Serial Year
2014
Journal title
Journal of Genes, Microbes and Immunity
Record number
1332262
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