Evidence map›Paper›PMID 35694630›Full record

ReviewRe/views in environmental science and bio/technology2022

A review of the emergence of antibiotic resistance in bioaerosols and its monitoring methods.

Gihan Lee, Keunje Yoo

Open access · bronzeAbstract readReview
In one paragraph

Review in Re/views in environmental science and bio/technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
6.1field-weighted citation impact, top 2% of its field
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

19 citing papers in PubMed, 62 citations in OpenAlex.

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  15. Review
  16. Antibiotic Resistance Genes in Aerosols: Baseline from Kuwait.International journal of molecular sciences · 2023
    Article
  17. Review
  18. Clinically Relevant β-Lactam Resistance Genes in Wastewater Treatment Plants.International journal of environmental research and public health · 2022
    Review
  19. Review
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

2 authors at 1 institution in 1 country.

Gihan LeeDepartment of Environmental Engineering, Korea Maritime and Ocean University, Busan, 49112 South Korea.ORCID 0000-0002-7876-5543
Keunje YooDepartment of Environmental Engineering, Korea Maritime and Ocean University, Busan, 49112 South Korea.ORCID 0000-0002-0191-3499
Korea Maritime and Ocean University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite significant public health concerns regarding infectious diseases in air environments, potentially harmful microbiological indicators, such as antibiotic resistance genes (ARGs) in bioaerosols, have not received significant attention. Traditionally, bioaerosol studies have focused on the characterization of microbial communities; however, a more serious problem has recently arisen due to the presence of ARGs in bioaerosols, leading to an increased prevalence of horizontal gene transfer (HGT). This constitutes a process by which bacteria transfer genes to other environmental media and consequently cause infectious disease. Antibiotic resistance in water and soil environments has been extensively investigated in the past few years by applying advanced molecular and biotechnological methods. However, ARGs in bioaerosols have not received much attention. In addition, ARG and HGT profiling in air environments is greatly limited in field studies due to the absence of suitable methodological approaches. Therefore, this study comprehensively describes recent findings from published studies and some of the appropriate molecular and biotechnological methods for monitoring antibiotic resistance in bioaerosols. In addition, this review discusses the main knowledge gaps regarding current methodological issues and future research directions.

Indexed as

Antibiotic resistanceBioaerosolsHigh-throughput qPCRMetagenomicsMolecular biological monitoring

Identifiers

PMID35694630
PMCPMC9169023
OpenAlexW4282029262

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.