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An integrated microfluidic system for antimicrobial susceptibility testing with antibiotic combination.

Wen-Bin Lee1, Chun-Chih Chien2, Huey-Ling You2

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This study introduces an automated microfluidic system for rapid antimicrobial susceptibility testing (AST). This innovation aids in selecting optimal antibiotic combinations and dosages for treating bacterial infections, combating multi-drug resistance.

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Area of Science:

  • Biomedical Engineering
  • Infectious Diseases
  • Microfluidics

Background:

  • Polypharmacy for severe infections drives bacterial multi-drug resistance.
  • Current antimicrobial susceptibility testing (AST) is often complex and labor-intensive.
  • Need for rapid, automated AST to guide effective antibiotic therapy.

Purpose of the Study:

  • To develop an integrated microfluidic system (IMS) for automated AST.
  • To enable efficient antibiotic administration for bacterial infections.
  • To facilitate personalized medicine approaches in treating infections.

Main Methods:

  • Developed an IMS for automated AST of 1-2 antibiotics against bacterial pathogens.
  • Determined minimum and fractional inhibitory concentrations using a colorimetric assay on-chip.
  • Assayed growth of methicillin-resistant Staphylococcus aureus isolates with vancomycin, gentamicin, and linezolid.

Main Results:

  • The IMS accurately determined drug concentrations and identified optimal antibiotic combinations.
  • Evaluated the fractional inhibitory concentration index to find minimum effective dosages.
  • Demonstrated advantages including reduced sample/reagent volume, automation, faster processing, and straightforward interpretation.

Conclusions:

  • The developed IMS offers a streamlined, automated approach to AST.
  • This system can guide clinicians in selecting effective antibiotic treatments.
  • Enables personalized medicine for bacterial infections by optimizing drug selection and dosage.