Evidence map›Paper›PMID 41498552›Full record

ArticleMicrobiology spectrum2026

Environmental reservoirs account for high levels of carbapenem resistance genes in wastewater.

Melissa K Schussman, Shuchen Feng, Angela Schmoldt, Melinda J Bootsma, Kieyarrah Dennis, Kayley H Janssen, Sandra L McLellan

Abstract read
In one paragraph

Article in Microbiology spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Melissa K SchussmanSchool of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.ORCID 0000-0002-3508-8239
Shuchen FengSchool of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.ORCID 0000-0002-8878-8036
Angela SchmoldtSchool of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.ORCID 0000-0002-2836-5939
Melinda J BootsmaSchool of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.
Kieyarrah DennisSchool of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.ORCID 0009-0000-6181-3919
Kayley H JanssenWisconsin State Laboratory of Hygiene, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Sandra L McLellanSchool of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.ORCID 0000-0003-3283-1151

Funding

CDC HHS CK19-1904
6 · The paper itself

Abstract

Wastewater surveillance has moved to the forefront as a practical and informative public health tool for assessing viral and bacterial pathogens in the human population; however, the usefulness for tracking antimicrobial-resistance genes (ARGs) of clinical concern is not straightforward given the large reservoir of free-living bacteria within sewer systems. In this study, we examined six high-priority carbapenem resistance gene targets and common host organisms in wastewater collected from two treatment plants. Polymerase chain reaction (PCR)-based assays demonstrated an extremely high abundance of IMPORTANCE: Wastewater surveillance for carbapenem-resistant bacteria has been proposed as a potentially valuable tool for assessing the human burden, but their distribution in environmental reservoirs is not well understood. Untreated sewage contains a high density of resident organisms mixed with human inputs, which are transported through the complex environment of sewer conveyance systems. In addition to resident microbial community members, organisms seeded into the system from the human microbiome have the potential to grow. This work shows that environmental bacteria may be a significant source of carbapenem resistance genes collected from sewer systems, making wastewater surveillance data difficult to interpret or use for public health actions. More knowledge is needed to unravel the ecology of these systems and identify targets for surveillance that are meaningful to clinicians. This work sheds light on the complex dynamics and confounding factors for antimicrobial-resistance gene wastewater surveillance, which will improve the interpretation of wastewater surveillance data.

Indexed as

Anti-Bacterial AgentsBacteriaCarbapenemsWastewaterBacterial Proteinsbeta-LactamasesDrug Resistance, BacterialHumansMicrobial Sensitivity TestsAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasesCarbapenemsWastewaterantimicrobial resistancecarbapenemasesewagewastewater surveillance

Identifiers

PMID41498552
PMCPMC12889080

What OpenQuestion holds

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LicenceCC BY
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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.