Evidence map›Paper›PMID 42846149›Full record

ReviewFrontiers in public health2026

Environmental pollutants as modifiers of antimicrobial resistance risk across food systems: a One Health perspective.

Kingsley Excel Dunga, Ebinyo Rebecca Aseibai, Nsikak Godwin Etim, Matthew Chidozie Ogwu, Vivian Ibienebakabobo Promise, Esther Ugo Alum, Sylvester Chibueze Izah

Abstract readReview
In one paragraph

Review in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kingsley Excel DungaDepartment of Medical Laboratory Science, Kingsley Ozumba Mbadiwe University, Ogboko, Imo State, Nigeria.
Ebinyo Rebecca AseibaiDepartment of Microbiology, Federal University Otuoke, Otuoke, Bayelsa State, Nigeria.
Nsikak Godwin EtimNiger-Delta Institute for Emerging and Re-emerging Infectious Diseases, Federal University Otuoke, Yenagoa, Bayelsa State, Nigeria.
Matthew Chidozie OgwuGoodnight Family Department of Sustainable Development, Appalachian State University, Boone, NC, United States.
Vivian Ibienebakabobo PromiseDepartment of Public Health, Faculty of Health Sciences, Bayelsa Medical University, Yenagoa, Bayelsa State, Nigeria.
Esther Ugo AlumDepartment of Research and Publications, Kampala International University, Kampala, Uganda.
Sylvester Chibueze IzahDepartments of Community Medicine and Microbiology, Bayelsa Medical University, Yenagoa, Bayelsa State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) in bacteria associated with food systems is commonly attributed to antimicrobial use in clinical medicine and animal production, yet food-production and processing environments are also exposed to metals, biocides, pesticides, pharmaceutical residues, microplastics, sewage, and industrial effluents. These pressures can influence bacterial survival, biofilm persistence, antimicrobial susceptibility, and the maintenance or transfer of resistance determinants across soil, water, animals, crops, processing environments, markets, and households. This Perspective considers environmental pollutants as modifiers of AMR risk rather than sufficient evidence of causation or clinically relevant human transmission. Public-health concern is greatest where four elements converge: selective pollutant pressure, viable pathogens or clinically relevant colonizing or opportunistic organisms, mobile or expressed resistance determinants, and a credible human exposure pathway. This convergence model complements established One Health surveillance frameworks by explicitly linking environmental chemistry and pollutant mixtures with viability, resistance phenotype, mobile-element context, exposure, source attribution, and intervention evaluation. Evidence from antibiotic residues, metals, pesticides, biocides, microplastics, wastewater, genomic surveillance, and source-attribution studies indicates that biological plausibility alone is insufficient to establish human health risk. A pathway-based interpretation can distinguish environmental AMR signals from those supported by stronger evidence of food-system exposure and clinical relevance, while identifying surveillance and intervention priorities that can be tested across settings.

Indexed as

Drug Resistance, BacterialDrug Resistance, MicrobialEnvironmental PollutantsFood MicrobiologyOne HealthAnimalsAnti-Bacterial AgentsHumansRisk AssessmentAnti-Bacterial AgentsEnvironmental Pollutantsantimicrobial resistanceenvironmental pollutantsexposure assessmentfood systemsintegrated surveillanceOne Healthsource attribution

Identifiers

PMID42846149
PMCPMC13642269

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.