ReviewFrontiers in public health2026
Environmental pollutants as modifiers of antimicrobial resistance risk across food systems: a One Health perspective.
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.
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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.
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.
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0 citing papers in PubMed.
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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.