Evidence map›Paper›PMID 42138097›Full record

ArticleInternational journal of occupational medicine and environmental health2026

Bacteria and associated antibiotic resistance in air filter-derived biological material from utility vehicles at mechanical-biological treatment plants.

Anna Kozajda, Emilia Miśkiewicz, Jan Gawor, Robert Gromadka

Abstract read
In one paragraph

Article in International journal of occupational medicine and environmental 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
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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

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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

4 authors.

Anna KozajdaNofer Institute of Occupational Medicine, Łódź, Poland (Biological Safety Unit).
Emilia MiśkiewiczNofer Institute of Occupational Medicine, Łódź, Poland (Biological Safety Unit).
Jan GaworPolish Academy of Sciences, Warsaw, Poland (DNA Sequencing and Synthesis Facility, Institute of Biochemistry and Biophysics).
Robert GromadkaPolish Academy of Sciences, Warsaw, Poland (DNA Sequencing and Synthesis Facility, Institute of Biochemistry and Biophysics).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe study objective was to assess occupational exposure to bacteria and antimicrobial resistance genes (ARGs) present on air filters of utility vehicles used in the working environment of mechanical-biological treatment (MBT) facilities, in the context of workers health risks. MATERIAL AND

methodsThe study was conducted in summer 2024 in 9 air filters from utility vehicles used in MBT plants in Poland. External filters were removed from the vehicle's ventilation system, packed and shipped according to instructions. From the duplicate filters samples DNA was isolated and high-throughput next-generation sequencing (NGS) was carried out. Bioinformatic data analysis was conducted to detect bacteria and ARGs in air filters' surfaces.

resultsTotally, 34 bacterial taxa were detected in relative abundance ≥0.5%. The genera most frequently present at the highest relative abundances:

conclusionsDespite the limited number of analyzed filters, the study demonstrated a high bacterial species diversity in the MBT plant environment. The MBT workers are exposed to bacteria with high pathogenic potential and to ARGs encoding resistance to antibiotics used exclusively in human medicine, used in human and veterinary medicine, and not intended for human use. Int J Occup Med Environ Health. 2026;39(2):179-201.

Indexed as

Air FiltersBacteriaDrug Resistance, BacterialDrug Resistance, MicrobialOccupational ExposureAir MicrobiologyEnvironmental MonitoringHigh-Throughput Nucleotide SequencingHumansPolandantibiotic resistance genesbacteriaMBToccupational exposureoccupational microbiomeoccupational resistome

Identifiers

PMID42138097
PMCPMC13229167

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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.