Evolution under vancomycin selection drives divergent collateral sensitivity patterns in Staphylococcus aureus

Dena Crozier1, Jason M Gray2,3, Jeff A Maltas1

  • 1Department of Translational Hematology & Oncology Research, Cleveland Clinic Lerner Research Institute, Cleveland, OH 44106.

Insights

Antibiotic resistance in Staphylococcus aureus evolves over time. This study shows vancomycin treatment can lead to resistance, impacting other antibiotics and suggesting penicillin-based drugs may be better initial choices for MSSA infections.

Area of Science:

  • Microbiology
  • Evolutionary Biology
  • Infectious Diseases

Background:

  • Staphylococcus aureus infections are serious and often treated empirically with vancomycin.
  • Current susceptibility testing may not predict drug efficacy during evolving infections.
  • Antibiotic resistance development is a significant clinical challenge.

Purpose of the Study:

  • To investigate how Staphylococcus aureus antibiotic susceptibility changes during vancomycin treatment.
  • To understand the evolutionary mechanisms driving resistance.
  • To inform therapeutic strategies by accounting for evolutionary dynamics.

Main Methods:

  • Evolved methicillin-susceptible S. aureus (MSSA) populations under increasing vancomycin concentrations.
  • Analyzed genetic mutations using sequencing.
  • Assessed cross-resistance to other antibiotics (daptomycin, meropenem, gentamicin, nafcillin).
  • Developed probabilistic models for drug response likelihood.

Main Results:

  • Parallel mutations affecting cell membrane and cell wall were observed.
  • Populations developed cross-resistance to daptomycin and varied responses to other antibiotics.
  • Evolutionary trajectories introduced uncertainty in predicting treatment outcomes.
  • Probabilistic likelihood estimates were derived to quantify drug response variability.

Conclusions:

  • Vancomycin treatment can induce resistance and alter susceptibility to other drugs in S. aureus.
  • Antistaphylococcal penicillins may be preferable first-line treatments for MSSA.
  • Therapeutic choices should consider the probabilistic nature of bacterial evolution during infection.

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