Title |
High-resolution melting analysis for molecular detection of multidrug resistance tuberculosis in Peruvian isolates
|
---|---|
Published in |
BMC Infectious Diseases, June 2016
|
DOI | 10.1186/s12879-016-1615-y |
Pubmed ID | |
Authors |
Marco Galarza, Manuel Fasabi, Kelly S. Levano, Edith Castillo, Nadia Barreda, Mitzi Rodriguez, Heinner Guio |
Abstract |
The emergence of multidrug-resistant strains is a major health problem especially for countries with high TB incidence such as Peru. In this study, we evaluated High Resolution Melting (HRM) assay in Peruvian isolates for the detection of mutations within rpoB, katG genes and promoter region inhA to determine isoniazid and rifampicin resistance in Mycobacterium tuberculosis (Mtb). DNA samples extracted from a total of 167 clinical isolates of Mtb, 89 drug-sensitive and 78 multidrug-resistant, were blindly analyzed by HRM analysis and verified by DNA sequencing. The HRM analysis generated patterns that were specific to distinguish between sensitive and resistance isolates. The sensitivity and specificity of the HRM assays in comparison with drug susceptibility testing (DST) for detection of rifampicin resistance were 98.7 % and 97.5 %, and for isoniazid resistance were 98.7 % and 100 %. This study suggests that HRM Analysis could help with rapid diagnosis of MDR-TB cases in Peru. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 25% |
Peru | 1 | 25% |
Venezuela, Bolivarian Republic of | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 58 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 16% |
Student > Ph. D. Student | 7 | 12% |
Student > Master | 7 | 12% |
Student > Postgraduate | 5 | 9% |
Professor > Associate Professor | 5 | 9% |
Other | 13 | 22% |
Unknown | 12 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 11 | 19% |
Agricultural and Biological Sciences | 9 | 16% |
Medicine and Dentistry | 9 | 16% |
Immunology and Microbiology | 4 | 7% |
Mathematics | 1 | 2% |
Other | 4 | 7% |
Unknown | 20 | 34% |