Evidence map›Paper›PMID 41028597›Full record

Articlenpj antimicrobials and resistance2025

Relating antimicrobial use to wastewater resistance gene patterns via metagenomic analysis of two neighboring treatment plants circa the COVID-19 pandemic.

Ayella Maile-Moskowitz, Connor L Brown, Monjura Afrin Rumi, Nazifa Ahmed Moumi, Haniyyah Majeed, Carla V Finkielstein, Alessandro Ceci, Raul Gonzalez, Kang Xia, Lauren McDaniel and 5 more

Abstract read
In one paragraph

Article in npj antimicrobials and resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
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  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Ayella Maile-MoskowitzDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, USA.
Connor L BrownDepartment of Computer Science, Virginia Tech, Blacksburg, VA, USA.
Monjura Afrin RumiDepartment of Computer Science, Virginia Tech, Blacksburg, VA, USA.
Nazifa Ahmed MoumiDepartment of Computer Science, Virginia Tech, Blacksburg, VA, USA.
Haniyyah MajeedDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, USA.
Carla V FinkielsteinFralin Biomedical Research Institute, Virginia Tech, Roanoke, VA, USA.
Alessandro CeciFralin Biomedical Research Institute, Virginia Tech, Roanoke, VA, USA.
Raul GonzalezHampton Roads Sanitation District, Virginia Beach, VA, USA.
Kang XiaSchool of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, USA.
Lauren McDanielVirginia Tech Carilion School of Medicine-Carilion Clinic, Department of Pharmacy Services, Roanoke, VA, USA.
Anthony Baffoe-BonnieVirginia Tech Carilion School of Medicine- Carilion Clinic, Department of Medicine, Section of Infectious Diseases, Roanoke, VA, USA.
Jayasimha RaoVirginia Tech Carilion School of Medicine- Carilion Clinic, Department of Medicine, Section of Infectious Diseases, Roanoke, VA, USA.
Liqing ZhangDepartment of Computer Science, Virginia Tech, Blacksburg, VA, USA. lqzhang@cs.vt.edu.
Amy PrudenDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, USA. apruden@vt.edu.
Peter J VikeslandDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, USA. pvikes@vt.edu.

Funding

National Science Foundation 1545756National Science Foundation 2004751
6 · The paper itself

Abstract

Minimizing antimicrobial use is a recommended strategy to reduce the evolution and spread of antibiotic resistance; however, efficacy is elusive to measure. Wastewater-based surveillance provides a promising means to relate trends in microbial community antibiotic resistance profiles as a function of interventions and other factors. We examined influent sewage metagenomes for two neighboring wastewater treatment plants (WWTPs) serving a university and a nearby community. We compared antibiotic resistance gene (ARG) profiles as a function of diagnoses of COVID-19 and other illnesses, antibiotic use, antibiotic/antimicrobial and disinfectant/quaternary ammonium compound concentrations, and COVID-19-related behavioral shifts. Diversity and abundances of ARGs unique to the corresponding sewage were consistently higher for the community WWTP, but converged in 2022 when antibiotic prescriptions surged in the university zip code. Decreases in ARG diversity/abundance were not apparent during periods of decreased antibiotic usage, indicating that extended times may be required for wastewater ARG signals to attenuate following interventions.

Identifiers

PMID41028597
PMCPMC12484780

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.