Population Ecology-Quantitative Microbial Risk Assessment (QMRA) Model for Antibiotic-Resistant and Susceptible <i>E. coli</i> in Recreational Water

Understanding and predicting the role of waterborne environments in transmitting antimicrobial-resistant (AMR) infections are critical for public health. A population ecology-quantitative microbial risk assessment (QMRA) model is proposed to evaluate urinary tract infection (UTI) development due to recreational waterborne exposures to <i>Escherichia coli</i> (<i>E. coli</i>) and antibiotic-resistant extended-spectrum β-lactamase-producing (ESBL) <i>E. coli</i>. The horizontal gene transfer (HGT) mechanism of conjugation and other evolutionary factors were modeled separately in the environment and the gut. Persistence/dilution dominated HGT in the environment; however, HGT highly impacted predicted ESBL populations in the body. Predicted disability life year (DALY) risks from exposure to ESBL <i>E. coli</i> at concentrations consistent with US recreational water criteria were less than the 10<sup>-6</sup> pppy benchmark value but greater than the susceptible <i>E. coli</i> DALY risks associated with a UTI health outcome. However, the prevailing susceptible dose-response relationship may underestimate ESBL risk if HGT rates <i>in vivo</i> approach those reported <i>in vitro</i>. A sensitivity analysis demonstrated that DALY values, <i>E. coli</i>/ESBL concentrations, and exposure parameters were influential on predicted risks. The model is a preliminary tool to begin the expansion of the QMRA paradigm to explore the impacts of evolutionary changes in AMR risk assessment.

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Publication Details

Journal
Environmental Science & Technology
Published
2025-02-26
DOI
https://doi.org/10.1021/acs.est.4c07248
Citations
16
Primary Topic
Pharmaceutical and Antibiotic Environmental Impacts
Type
article
Field-Weighted Citation Impact
8.06

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article

Population Ecology-Quantitative Microbial Risk Assessment (QMRA) Model for Antibiotic-Resistant and Susceptible E. coli in Recreational Water

Kerry A. Hamilton, Mark T. Hamilton, Mary E. Schoen, Hunter Quon et al.
16 citations
Environmental Science & Technology
Pharmaceutical and Antibiotic Environmental Impacts
8.06
article

Population Ecology-Quantitative Microbial Risk Assessment (QMRA) Model for Antibiotic-Resistant and Susceptible E. coli in Recreational Water

Kerry A. Hamilton, Mark T. Hamilton, Mary E. Schoen, Hunter Quon, Ashley Heida, Michael A. Jahne, Jay L. Garland, Allison J. Lopatkin, Lucia Ramirez, Julia Gambino, Kaylee Sanderson
article en
16 citations

Abstract

Understanding and predicting the role of waterborne environments in transmitting antimicrobial-resistant (AMR) infections are critical for public health. A population ecology-quantitative microbial risk assessment (QMRA) model is proposed to evaluate urinary tract infection (UTI) development due to recreational waterborne exposures to <i>Escherichia coli</i> (<i>E. coli</i>) and antibiotic-resistant extended-spectrum β-lactamase-producing (ESBL) <i>E. coli</i>. The horizontal gene transfer (HGT) mechanism of conjugation and other evolutionary factors were modeled separately in the environment and the gut. Persistence/dilution dominated HGT in the environment; however, HGT highly impacted predicted ESBL populations in the body. Predicted disability life year (DALY) risks from exposure to ESBL <i>E. coli</i> at concentrations consistent with US recreational water criteria were less than the 10<sup>-6</sup> pppy benchmark value but greater than the susceptible <i>E. coli</i> DALY risks associated with a UTI health outcome. However, the prevailing susceptible dose-response relationship may underestimate ESBL risk if HGT rates <i>in vivo</i> approach those reported <i>in vitro</i>. A sensitivity analysis demonstrated that DALY values, <i>E. coli</i>/ESBL concentrations, and exposure parameters were influential on predicted risks. The model is a preliminary tool to begin the expansion of the QMRA paradigm to explore the impacts of evolutionary changes in AMR risk assessment.

Environmental Science & TechnologyVol. 59(9)
Vassar College (US), Microsoft (United States) (US), Duke University (US), Environmental Protection Agency (GH), Center for Environmental Health (US), New England Research (United States) (US), University of Rochester (US), Arizona State University (US), Massachusetts Institute of Technology (US)
National Science Foundation, U.S. Environmental Protection Agency, Water Research Foundation, Arizona State University, Division of Molecular and Cellular Biosciences
Clean water and sanitation
Openalex Percentile: Top 2%
Pharmaceutical and Antibiotic Environmental Impacts
8.06
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