Correlations of mutations in katG, oxyR-ahpC and inhA genes and in vitro susceptibility in Mycobacterium tuberculosis clinical strains segregated by spoligotype families from tuberculosis prevalent countries in South America
2009

Mutations in TB Genes and Drug Resistance in South America

Sample size: 224 publication 10 minutes Evidence: moderate

Author Information

Author(s): Dalla Costa Elis R, Ribeiro Marta O, Silva Márcia SN, Arnold Liane S, Rostirolla Diana C, Cafrune Patricia I, Espinoza Roger C, Palaci Moises, Telles Maria A, Ritacco Viviana, Suffys Philip N, Lopes Maria L, Campelo Creuza L, Miranda Silvana S, Kremer Kristin, Silva Pedro E Almeida, Fonseca Leila de Souza, Ho John L, Kritski Afrânio L, Rossetti Maria LR

Primary Institution: State Foundation for Production and Research in Health (FEPPS), Porto Alegre, Brazil

Hypothesis

The study aims to evaluate mutations in katG, oxyR-ahpC, and inhA genes in INH resistant Mycobacterium tuberculosis strains from South America and correlate them with drug susceptibility.

Conclusion

Genetic screening for the S315T katG mutation may help in selecting anti-TB regimens and monitoring INH resistance in South America.

Supporting Evidence

  • Mutations in katG were found in 80.8% of the isolates.
  • The S315T katG mutation was significantly associated with higher MIC levels for INH.
  • The study identified 86 different spoligotype patterns among the isolates.

Takeaway

Scientists studied germs that cause tuberculosis to see how they change and become resistant to medicine. They found a specific change that helps doctors choose the right treatment faster.

Methodology

The study involved characterizing mutations in specific genes of 224 INH resistant M. tuberculosis isolates and correlating these with minimal inhibitory concentrations (MIC) for INH.

Limitations

The study does not aim to provide a comprehensive profile of mutations across all strains in South America.

Participant Demographics

Participants included tuberculosis patients from Brazil, Peru, and Argentina.

Statistical Information

P-Value

p<0.05

Confidence Interval

95%

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/1471-2180-9-39

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