Kaohsiung Journal of Medical Sciences (Feb 2018)

Application of six multiplex PCR's among 200 clinical isolates of Pseudomonas aeruginosa for the detection of 20 drug resistance encoding genes

  • Nandagopal Murugan,
  • Jambulingam Malathi,
  • K Lily Therese,
  • Hajib NarahariRao Madhavan

DOI
https://doi.org/10.1016/j.kjms.2017.09.010
Journal volume & issue
Vol. 34, no. 2
pp. 79 – 88

Abstract

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Pseudomonas aeruginosa (P. aeruginosa) is a menacing opportunistic, nosocomial pathogen; become a growing concern as conventional antimicrobial therapy is now futile against it. Multi-drug resistant P. aeruginosa (MDRPA) has distinctive resistance mechanisms such as production of β-lactamases, repression of porin genes and over-expression of efflux pumps. The focus of this study is to standardize and application of multiplex PCR (mPCR) to detect the presence of betalactamase genes encoding blaTem, blaOXA, blaCTX-M-15, blaVim, blaGes, blaVeb, blaDIM, AmpC and Efflux pump genes encoding Mex A,B-oprM, Mex C,D-oprJ, Mex X,Y-oprN, oprD, nfxB, MexR. A total of 200 clinical isolates of P. aeruginosa were tested for the presence of the above mentioned genes genotypically through mPCR and characterized by phenotypic methods for ESBL and MBL production. Out of 200 isolates, 163 (81.5%) nfxB regulator gene, 102 (51%) MexA, 96 (48%) MexC, 93 (46.5%) MexB, 86 (43%) MexD, 81 (40.5%) OprM, 74 (37%) OprJ, 72 (36%) OprD and MexR, 53 (26.5%) Mex X and OprN, 49 (24.5%) MexY gene. Betalactamase genes 145 (72.5%) blaTem, 67 (33.5%) blaOXA, 35 (17.5%) blaVim, 25(12.50%), 23 (11.50%) blaVeb, 21 (11.5%) blaGes, 14 (7%) Ctx-m and 10 (5%) AmpC and 5 (2.5%) blaDim-1 gene were tested positive by mPCR. Phenotypically 38 (19%) and 29 (14.5%) out of 200 tested positive for ESBL and MBL production. Application of this mPCR on clinical specimens is fast, accurate, specific and low-cost reliable tool for the screening, where culture negative Eubacterial PCR positive cases for an early molecular detection of drug resistance mechanism assisting the clinician to treat the disease with appropriate antibiotic selection.

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