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Establishing the Minimal Bactericidal Concentration of an Antimicrobial Agent for Planktonic Cells MBC-P and Biofilm Cells MBC-B
Published on: January 2, 2014
Development of a protocol for predicting bacterial resistance to microbicides
Laura Knapp1, Alejandro Amézquita2, Peter McClure2
1Cardiff School of Pharmacy and Pharmaceutical Science, Cardiff, Wales, United Kingdom.
Abstract:
Regulations dealing with microbicides in Europe and the United States are evolving and now require data on the risk of the development of resistance in organisms targeted by microbicidal products. There is no standard protocol to assess the risk of the development of resistance to microbicidal formulations. This study aimed to validate the use of changes in microbicide and antibiotic susceptibility as initial markers for predicting microbicide resistance and cross-resistance to antibiotics. Three industrial isolates (Pseudomonas aeruginosa, Burkholderia cepacia, and Klebsiella pneumoniae) and two Salmonella enterica serovar Typhimurium strains (SL1344 and 14028S) were exposed to a shampoo, a mouthwash, eye makeup remover, and the microbicides contained within these formulations (chlorhexidine digluconate [CHG] and benzalkonium chloride [BZC]) under realistic, in-use conditions. Baseline and postexposure data were compared. No significant increases in the MIC or the minimum bactericidal concentration (MBC) were observed for any strain after exposure to the three formulations. Increases as high as 100-fold in the MICs and MBCs of CHG and BZC for SL1344 and 14028S were observed but were unstable. Changes in antibiotic susceptibility were not clinically significant. The use of MICs and MBCs combined with antibiotic susceptibility profiling and stability testing generated reproducible data that allowed for an initial prediction of the development of resistance to microbicides. These approaches measure characteristics that are directly relevant to the concern over resistance and cross-resistance development following the use of microbicides. These are low-cost, high-throughput techniques, allowing manufacturers to provide to regulatory bodies, promptly and efficiently, data supporting an early assessment of the risk of resistance development.
Insights
This study validates using microbicide and antibiotic susceptibility changes to predict resistance development. These low-cost methods help manufacturers assess risks for regulatory bodies.
Area of Science:
- Microbiology
- Antimicrobial Resistance
- Regulatory Science
Background:
- Evolving regulations in Europe and the US require data on microbicide resistance.
- No standardized protocol exists to assess the risk of resistance development to microbicidal products.
- Microbicide use raises concerns about potential resistance and cross-resistance to antibiotics.
Purpose of the Study:
- To validate the use of changes in microbicide and antibiotic susceptibility as early markers for predicting microbicide resistance.
- To assess the risk of resistance and cross-resistance development in specific bacterial strains exposed to common microbicidal formulations.
- To establish reproducible, low-cost, high-throughput methods for manufacturers to provide resistance risk data to regulatory bodies.
Main Methods:
- Exposed three industrial isolates (Pseudomonas aeruginosa, Burkholderia cepacia, Klebsiella pneumoniae) and two Salmonella enterica serovar Typhimurium strains to a shampoo, mouthwash, and eye makeup remover under realistic conditions.
- Determined baseline and post-exposure minimum inhibitory concentrations (MICs) and minimum bactericidal concentrations (MBCs) for microbicides (chlorhexidine digluconate [CHG], benzalkonium chloride [BZC]).
- Assessed changes in antibiotic susceptibility and performed stability testing on observed resistance markers.
Main Results:
- No significant increases in MIC or MBC were observed for most strains after formulation exposure.
- Significant, but unstable, increases (up to 100-fold) in MICs and MBCs for CHG and BZC were noted in Salmonella strains.
- Changes in antibiotic susceptibility were not clinically significant, indicating limited cross-resistance.
Conclusions:
- Changes in MICs and MBCs, coupled with antibiotic susceptibility profiling and stability testing, provide reproducible data for initial resistance prediction.
- These validated methods are relevant for assessing microbicide resistance and cross-resistance concerns.
- The approach offers a low-cost, high-throughput solution for manufacturers to efficiently support early risk assessments for regulatory submission.
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