Evidence map›Paper›PMID 35322038›Full record

ArticleNature communications2022

Assessment of global health risk of antibiotic resistance genes.

Zhenyan Zhang, Qi Zhang, Tingzhang Wang, Nuohan Xu, Tao Lu, Wenjie Hong, Josep Penuelas, Michael Gillings, Meixia Wang, Wenwen Gao and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 233 papers.

0numbers the graph read from it
0cells of the map it votes in
233citing papers in PubMed
56.9field-weighted citation impact, top 1% 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

233 citing papers in PubMed, 824 citations in OpenAlex.

  1. Article
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  8. GlobalEnvironmental science and ecotechnology · 2026
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  9. Soil management practices shape the abundance, diversity, and spread of antimicrobial resistance.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  12. Potential plastic biodegradation in lakes worldwide.Innovation (Cambridge (Mass.)) · 2026
    Article
  13. Article
  14. Impacts of pollution on the soil microbiome.Nature reviews. Microbiology · 2026
    Review
  15. Review
  16. Article
  17. Article
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  19. Article
  20. Article

173 more citing papers are in PubMed but not listed here.

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

11 authors at 3 institutions in 3 countries.

Zhenyan Zhang *College of Environment, Zhejiang University of Technology, 310032, Hangzhou, P. R. China.
Qi Zhang *College of Environment, Zhejiang University of Technology, 310032, Hangzhou, P. R. China.
Tingzhang Wang *Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, 310012, P. R. China.
Nuohan XuCollege of Environment, Zhejiang University of Technology, 310032, Hangzhou, P. R. China.
Tao LuCollege of Environment, Zhejiang University of Technology, 310032, Hangzhou, P. R. China.ORCID http://orcid.org/0000-0002-2030-3813
Wenjie HongKey Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, 310012, P. R. China.
Josep PenuelasCSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, 08193, Barcelona, Catalonia, Spain.ORCID http://orcid.org/0000-0002-7215-0150
Michael GillingsARC Centre of Excellence in Synthetic Biology, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, 2109, Australia.ORCID http://orcid.org/0000-0002-4043-4351
Meixia WangKey Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, 310012, P. R. China.
Wenwen GaoKey Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, 310012, P. R. China.
Haifeng QianCollege of Environment, Zhejiang University of Technology, 310032, Hangzhou, P. R. China. hfqian@zjut.edu.cn.ORCID http://orcid.org/0000-0003-0807-9991
Zhejiang University of Technology · CNARC Centre of Excellence in Synthetic Biology · AUUniversitat Autònoma de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic resistance genes (ARGs) have accelerated microbial threats to human health in the last decade. Many genes can confer resistance, but evaluating the relative health risks of ARGs is complex. Factors such as the abundance, propensity for lateral transmission and ability of ARGs to be expressed in pathogens are all important. Here, an analysis at the metagenomic level from various habitats (6 types of habitats, 4572 samples) detects 2561 ARGs that collectively conferred resistance to 24 classes of antibiotics. We quantitatively evaluate the health risk to humans, defined as the risk that ARGs will confound the clinical treatment for pathogens, of these 2561 ARGs by integrating human accessibility, mobility, pathogenicity and clinical availability. Our results demonstrate that 23.78% of the ARGs pose a health risk, especially those which confer multidrug resistance. We also calculate the antibiotic resistance risks of all samples in four main habitats, and with machine learning, successfully map the antibiotic resistance threats in global marine habitats with over 75% accuracy. Our novel method for quantitatively surveilling the health risk of ARGs will help to manage one of the most important threats to human and animal health.

Indexed as

Anti-Bacterial AgentsGenes, BacterialAnimalsDrug Resistance, MicrobialGlobal HealthMetagenomeAnti-Bacterial Agents

Identifiers

PMID35322038
PMCPMC8943045
OpenAlexW4220927247

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.