Prevalencia en España de mecanismos de resistencia a quinolonas en enterobacterias productoras de betalactamasas de clase C adquiridas y/o carbapenemasas / Prevalence of quinolone resistance mechanisms in Enterobacteriaceae producing acquired AmpC Beta-lactamases and/or carbapenemases in Spain

Introducción: En los últimos años se ha observado un incremento de la resistencia a fluoroquinolonas en enterobacterias, estando asociado significativamente a la resistencia a betalactámicos. Nuestro objetivo fue conocer la prevalencia de mecanismos cromosómicos y plasmídicos de resistencia a quinolonas en aislados productores de betalactamasas de claseC adquiridas y/o carbapenemasas. Métodos: Se evaluó la presencia de mecanismos cromosómicos y plasmídicos de resistencia a quinolonas [mutaciones en la región determinante de resistencia a quinolonas de gyrA y parCy genes qnr, aac(6')-Ib-cr y qepA] en 289 aislados de enterobacterias productoras de betalactamasas de claseC adquiridas y/o carbapenemasas recogidos entre febrero y julio de 2009 en 35 hospitales españoles. Resultados: Se detectaron determinantes plasmídicos en 92 aislados (31,8%); en 83 aislados (28,7%) se detectó algún gen qnr, y en 20 (7%), la variante aac(6')-Ib-cr. El gen qnr más prevalente fue qnrB4 (20%), asociado en la mayoría de los casos a DHA-1. El 14,6% de los aislados con una CMI de ciprofloxacino superior a 0,25mg/l no presentaban mutaciones en gyrA ni parC, detectándose en el 90% de los mismos algún determinante plasmídico de resistencia a quinolonas. Conclusión: qnrB4 fue el determinante plasmídico más prevalente, claramente asociado a DHA-1. Los mecanismos plasmídicos en asociación con mecanismos cromosómicos diferentes a las mutaciones en los genes de las topoisomerasas (sobreexpresión de bombas de expulsión, alteración del lipopolisacárido o disminución de porinas) pueden dar lugar a valores de CMI de ciprofloxacino que superan los puntos de corte establecidos por los principales comités internacionales de definición de puntos de corte para interpretación de datos de sensibilidad (AU)

Background: Quinolone resistance in Enterobacteriaceae species has increased over the past few years, and is significantly associated to beta-lactam resistance. The aim of this study was to evaluate the prevalence of chromosomal- and plasmid-mediated quinolone resistance in acquired AmpC Beta-lactamase and/or carbapenemase-producing Enterobacteriaceae isolates. Methods: The presence of chromosomal- and plasmid-mediated quinolone resistance mechanisms [mutations in the quinolone resistance determining region (QRDR) of gyrA and parC and qnr, aac(6')-Ib-cr and qepA genes] was evaluated in 289 isolates of acquired AmpC Beta -lactamase- and/or carbapenemase-producing Enterobacteriaceae collected between February and July 2009 in 35 Spanish hospitals. Results: Plasmid mediated quinolone resistance (PMQR) genes were detected in 92 isolates (31.8%), qnr genes were detected in 83 isolates (28.7%), and the aac(6')-Ib-cr gene was detected in 20 isolates (7%). qnrB4 gene was the most prevalent qnr gene detected (20%), associated, in most cases, with DHA-1. Only 14.6% of isolates showed no mutations in gyrA or parC with a ciprofloxacin MIC of 0.5mg/L or higher, whereas PMQR genes were detected in 90% of such isolates. Conclusion: qnrB4 gene was the most prevalent PMQR gene detected, and was significantly associated with acquired AmpC Beta -lactamase DHA-1. PMQR determinants in association with other chromosomal-mediated quinolone resistance mechanisms, different to mutations in gyrA and parC (increased energy-dependent efflux, altered lipopolysaccharide or porin loss), could lead to ciprofloxacin MIC values that exceed breakpoints established by the main international committees to define clinical antimicrobial susceptibility breakpoints (AU)

Correlation between rules-based interpretation and virtual phenotype interpretation of HIV-1 genotypes for predicting drug resistance in HIV-infected individuals.

Drug resistance testing provides useful information for managing HIV-infected patients. Phenotyping could add complementary information to genotyping and occasionally be more useful, although is less available to clinicians. Large paired geno-pheno databases have allowed the prediction of phenotypes from genotypes. However, the accuracy of these virtual phenotypes (vPT) in a clinical setting has not been well assessed yet. We analyzed the concordance between vPT and interpreted genotype (GT) in 105 samples belonging to treatment-experienced HIV-infected patients. A high concordance was seen when examining both non-nucleoside reverse transcriptase inhibitors (NNRTI) and protease inhibitors (PI) (r = 0.95 either), while it was lower for nucleoside analogs (r = 0.79). The drugs with lower concordance were abacavir (71.1%), tenofovir (71.5%) and didanosine (71.9%). In 20% of specimens (21/105), the vPT did not provide results for all approved drugs. These were mainly samples with a high number of drug resistance mutations or rare genotypes, which seem to be underepresented in the VircoNET database. Overall, there is good correlation between vPT/GT, especially for PI and NNRTI. The inclusion of additional sequences in the VircoNET database, mainly those derived from heavily treatment-experienced patients and/or from patients failing the most recently approved drugs might improve its performance.