Response Surface Methodology Application for Bacteriophage-Antibiotic Antibiofilm Activity Optimization

Area of Science:

• Microbiology
• Computational Biology
• Biotechnology

Background:

• Phage-antibiotic combinations are crucial for combating bacterial biofilms.
• Novel computational methods are needed to optimize these combinations.
• Acinetobacter baumannii biofilms pose a significant clinical challenge.

Purpose of the Study:

• To optimize antibiofilm activity of bacteriophage-antibiotic combinations using Response Surface Methodology (RSM).
• To evaluate the synergistic potential of bacteriophage vB_AbaP_AGC01 with various antibiotics against Acinetobacter baumannii biofilms.

Main Methods:

• Utilized Response Surface Methodology (RSM) to analyze biofilm challenge assays.
• Tested combinations of bacteriophage vB_AbaP_AGC01 with gentamicin, meropenem, amikacin, ceftazidime, fosfomycin, imipenem, and colistin.
• Quantified biofilm biomass reduction using mathematical models derived from RSM.

Main Results:

• RSM effectively identified optimal conditions for antibiofilm activity.
• Combinations reduced biofilm biomass by up to 80%, demonstrating synergistic potential.
• Phage-imipenem combination achieved the highest efficacy (88.74% reduction).
• Phage-amikacin combination showed high efficacy at lower concentrations, indicating resource efficiency.
• Antagonism was observed only between phage and gentamicin.

Conclusions:

• Response Surface Methodology is a valuable tool for optimizing phage-antibiotic combinations against biofilms.
• Judicious combination of bacteriophages and antibiotics offers a potent strategy to combat Acinetobacter baumannii biofilms.
• The phage-imipenem and phage-amikacin combinations present promising therapeutic options.