Multifactor dimensionality reduction method for genes/enzymes in MDRPA

What is it about?

Multidrug-resistant Pseudomonas aeruginosa (MDRPA) infections are major threats to healthcareassociated infection control and the intrinsic molecular mechanisms of MDRPA are also unclear. We examined 348 isolates of P. aeruginosa, including 188 MDRPA and 160 non-MDRPA, obtained from five tertiary-care hospitals in Guangzhou, China. Significant correlations were found between gene/enzyme carriage and increased rates of antimicrobial resistance (P< 0·01). gyrA mutation, OprD loss and metallo-β-lactamase (MBL) presence were identified as crucial molecular risk factors for MDRPA acquisition by a combination of univariate logistic regression and a multifactor dimensionality reduction approach. The MDRPA rate was also elevated with the increase in positive numbers of those three determinants (P< 0·001). Thus, gyrA mutation, OprD loss and MBL presence may serve as predictors for early screening of MDRPA infections in clinical settings.

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Why is it important?

we have shown the interaction of multiple genes/enzymes and MDRPA infections in hospital patients using multifactor dimensionality reduction analysis.Our findings indicate that a combination of OprD loss, gyrA mutation and production of MBLs may facilitate the prediction of multidrug resistance in P. aeruginosa.

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