Evidence map›Paper›PMID 39775111›Full record

ArticleCommunications medicine2025

Longitudinal monitoring of sewershed resistomes in socioeconomically diverse urban neighborhoods.

Jangwoo Lee, Kevin Xiang, Emily Au, Shahrzad Sarabi, Nicole Acosta, Srijak Bhatnagar, Jennifer Van Doorn, Stefania Bertazzon, John M Conly, Elissa Rennert-May and 7 more

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

17 authors.

Jangwoo LeeDepartment of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, Canada.ORCID http://orcid.org/0000-0002-2992-5563
Kevin XiangDepartment of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, Canada.
Emily AuDepartment of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, Canada.
Shahrzad SarabiDepartment of Geography, University of Calgary, Calgary, Canada.
Nicole AcostaDepartment of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, Canada.ORCID http://orcid.org/0000-0001-6348-3124
Srijak BhatnagarDepartment of Biological Sciences, University of Calgary, Calgary, Canada.ORCID http://orcid.org/0000-0003-0240-2655
Jennifer Van DoornDepartment of Biological Sciences, University of Calgary, Calgary, Canada.
Stefania BertazzonDepartment of Geography, University of Calgary, Calgary, Canada.ORCID http://orcid.org/0000-0002-1292-5348
John M ConlyDepartment of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, Canada.
Elissa Rennert-MayDepartment of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, Canada.
Johann D D PitoutDepartment of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, Canada.
Bonita E LeeDepartment of Pediatrics, University of Alberta, Edmonton, Alberta, Canada.
Xiaoli PangDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada.
Christine O'GradyAdvancing Canadian Water Assets, University of Calgary, Calgary, Canada.
Kevin FrankowskiAdvancing Canadian Water Assets, University of Calgary, Calgary, Canada.
Casey R J HubertDepartment of Biological Sciences, University of Calgary, Calgary, Canada.ORCID http://orcid.org/0000-0002-8691-8116
Michael D ParkinsDepartment of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, Canada. mdparkin@ucalgary.ca.ORCID http://orcid.org/0000-0003-3749-7930

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding factors associated with antimicrobial resistance (AMR) distribution across populations is a necessary step in planning mitigation measures. While associations between AMR and socioeconomic-status (SES), including employment and education have been increasingly recognized in low- and middle-income settings, connections are less clear in high-income countries where SES remains an important influence on other health outcomes.

methodsWe explored the relationship between SES and AMR in Calgary, Canada using spatially-resolved wastewater-based surveillance of resistomes detected by metagenomics across eight socio-economically diverse urban neighborhoods. Resistomes were established by shotgun-sequencing of wastewater pellets, and qPCR of targeted-AMR genes. SES status was established using 2021 Canadian census data. Conducting this comparison during the height of COVID-related international travel restrictions (Dec. 2020-Oct. 2021) allowed the hypotheses linking SES and AMR to be assessed with limited confounding. These were compared with sewage metagenomes from 244 cities around the world, linked with Human Development Index (HDI).

resultsWastewater metagenomes from Calgary's socioeconomically diverse neighborhoods exhibit highly similar resistomes, with no quantitative differences (p > 0.05), low Bray-Curtis dissimilarity, and no significant correlations with SES. By comparison, dissimilarity is observed between globally-sourced resistomes (p < 0.05), underscoring the homogeneity of resistomes in Calgary's sub-populations. The analysis of globally-sourced resistomes alongside Calgary's resistome further reveals lower AMR burden in Calgary relative to other cities around the world. This is particularly pronounced for the most clinically-relevant AMR genes (e.g., beta-lactamases, macrolide-lincosamide-streptogramin).

conclusionsThis work showcases the effectiveness of inclusive and comprehensive wastewater-based surveillance for exploring the interplay between SES and AMR.

Identifiers

PMID39775111
PMCPMC11707339

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.