Evidence map›Paper›PMID 40596694›Full record

ArticleScientific reports2025

The impact of green spaces, urban settings, seasonal changes, and pollutants on dissemination of antimicrobial genes in air.

Yuping Duan, Jennifer Cole, Hermine V Mkrtchyan, Zhen Xu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Yuping DuanDepartment of Sanitary Toxicology and Chemistry, Tianjin Medical University, Tianjin, 300070, China.
Jennifer ColeDepartment of Health Studies, Royal Holloway University of London, Egham, TW20 0EX, UK.
Hermine V MkrtchyanSchool of Medicine and Biosciences, University of West London, London, W5 5RF, UK. Hermine.Mkrtchyan@uwl.ac.uk.
Zhen XuDepartment of Sanitary Toxicology and Chemistry, Tianjin Medical University, Tianjin, 300070, China. xuzhen@tmu.edu.cn.

Funding

Tianjin Xiqing Hospital grant XQYYKLT202104
6 · The paper itself

Abstract

The dissemination of antimicrobial resistance genes (ARGs) in the air poses a significant public health challenge. Little is known about the role of vegetation in reducing the dissemination of aerosolised ARGs. DNA extracts obtained directly from the air sample were used to detect nine antimicrobial-resistant genes using qPCR and 16S rRNA sequencing. The average relative abundance of nine aerosolised ARGs (blaTEM, mecA, sul3, ermB, ermC, aac(6')-Ib, tetM, tetW, and sul1) detected in urban spaces with high vegetation coverage (0.0083 (ARGs/16S rRNA), was slightly lower than in those with low or no vegetation (0.0135 (ARGs/16S rRNA)) (P > 0.05). The relative abundance of aerosolised ARGs around urban heat islands (UHI) significantly decreased (t = 2.06, P = 0.04) after central heating was switched off. To our knowledge, this is the first study to report the relative abundance of the mecA gene in urban air. UHIs may be a reservoir of ARGs in urban air, hence, planting non-allergenic trees and bushes or hedgerows could be an effective way to decrease the dissemination of aerosolised ARGs. We also detected ARG reduction in high-vegetation-covered areas. Further study is required to explore the vegetation-mediated reduction of ARGs in the air.

Indexed as

Air MicrobiologyAir PollutantsDrug Resistance, MicrobialCitiesEnvironmental MonitoringGenes, BacterialRNA, Ribosomal, 16SSeasonsAir PollutantsRNA, Ribosomal, 16SAerosolisedAirAntimicrobial resistance genesDisseminationDistributionInfluencing factors

Identifiers

PMID40596694
PMCPMC12216445

What OpenQuestion holds

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Registered trials

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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.