Predictive Modelling Approach to Understand the Combined Effects of Temperature, pH, Glucose, NaCl, and Magnesium on Klebsiella pneumoniae Biofilm Development
Melika Bidollahkhani1, Selcen Gul Yusufoglu1*, Ergin Murat Altuner2
Biofilms are structured microbial communities embedded in a self-produced extracellular polymeric substance (EPS), facilitating bacterial adherence, enhancing resistance to environmental stress, and presenting major challenges in clinical treatment.
Klebsiella pneumoniae demonstrates substantial biofilm-forming capabilities, amplifying its pathogenic potential in nosocomial environments. Its propensity to colonize medical devices and adopt distinct phenotypes within biofilms further reinforces its antimicrobial resilience.
This study systematically evaluates the individual and combined effects of temperature, pH, glucose, sodium chloride, and magnesium ion concentrations on the biofilm-forming ability of K. pneumoniae BAA 1706. A framework was established through comprehensive statistical analysis and predictive regression modelling to quantify and forecast biofilm production under varying environmental conditions.
Notably, synergistic interactions, particularly between temperature and pH, significantly influenced biofilm dynamics. The findings offer valuable insights for developing targeted biofilm inhibition strategies, contributing to improved infection control in clinical and environmental settings.
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