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Expression of Pseudomonas aeruginosa Antibiotic Resistance Genes Varies Greatly during Infections in Cystic Fibrosis Patients

25

Citations

41

References

2018

Year

Abstract

The lungs of individuals with cystic fibrosis (CF) become chronically infected with <i>Pseudomonas aeruginosa</i> that is difficult to eradicate by antibiotic treatment. Two key <i>P. aeruginosa</i> antibiotic resistance mechanisms are the AmpC β-lactamase that degrades β-lactam antibiotics and MexXYOprM, a three-protein efflux pump that expels aminoglycoside antibiotics from the bacterial cells. Levels of antibiotic resistance gene expression are likely to be a key factor in antibiotic resistance but have not been determined during infection. The aims of this research were to investigate the expression of the <i>ampC</i> and <i>mexX</i> genes during infection in patients with CF and in bacteria isolated from the same patients and grown under laboratory conditions. <i>P. aeruginosa</i> isolates from 36 CF patients were grown in laboratory culture and gene expression measured by reverse transcription-quantitative PCR (RT-qPCR). The expression of <i>ampC</i> varied over 20,000-fold and that of <i>mexX</i> over 2,000-fold between isolates. The median expression levels of both genes were increased by the presence of subinhibitory concentrations of antibiotics. To measure <i>P. aeruginosa</i> gene expression during infection, we carried out RT-qPCR using RNA extracted from fresh sputum samples obtained from 31 patients. The expression of <i>ampC</i> varied over 4,000-fold, while <i>mexX</i> expression varied over 100-fold, between patients. Despite these wide variations, median levels of expression of <i>ampC</i> in bacteria in sputum were similar to those in laboratory-grown bacteria. The expression of <i>mexX</i> was higher in sputum than in laboratory-grown bacteria. Overall, our data demonstrate that genes that contribute to antibiotic resistance can be highly expressed in patients, but there is extensive isolate-to-isolate and patient-to-patient variation.

References

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