The evolution of antibiotic resistance in an incurable and ultimately fatal infection: A retrospective case study

Robert J. Woods, Camilo Barbosa, Laura Koepping, Juan A. Raygoza, Michael Mwangi, Andrew F. Read

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Background and objectives: The processes by which pathogens evolve within a host dictate the efficacy of treatment strategies designed to slow antibiotic resistance evolution and influence population-wide resistance levels. The aim of this study is to describe the underlying genetic and phenotypic changes leading to antibiotic resistance within a patient who died as resistance evolved to available antibiotics. We assess whether robust patterns of collateral sensitivity and response to combinations existed that might have been leveraged to improve therapy. Methodology: We used whole-genome sequencing of nine isolates taken from this patient over 279 days of a chronic infection with Enterobacter hormaechei, and systematically measured changes in resistance against five of the most relevant drugs considered for treatment. Results: The entirety of the genetic change is consistent with de novo mutations and plasmid loss events, without acquisition of foreign genetic material via horizontal gene transfer. The nine isolates fall into three genetically distinct lineages, with early evolutionary trajectories being supplanted by previously unobserved multi-step evolutionary trajectories. Importantly, although the population evolved resistance to all the antibiotics used to treat the infection, no single isolate was resistant to all antibiotics. Evidence of collateral sensitivity and response to combinations therapy revealed inconsistent patterns across this diversifying population. Conclusions: Translating antibiotic resistance management strategies from theoretical and laboratory data to clinical situations, such as this, will require managing diverse population with unpredictable resistance trajectories.

Original languageEnglish (US)
Pages (from-to)163-173
Number of pages11
JournalEvolution, Medicine and Public Health
Volume11
Issue number1
DOIs
StatePublished - 2023

All Science Journal Classification (ASJC) codes

  • Medicine (miscellaneous)
  • Ecology, Evolution, Behavior and Systematics
  • Health, Toxicology and Mutagenesis

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