Evidence map›Paper›PMID 40871267›Full record

ReviewMicroorganisms2025

Antibiotics and Antibiotic Resistance Genes in the Environment: Dissemination, Ecological Risks, and Remediation Approaches.

Zhaomeng Wu, Xiaohou Shao, Qilin Wang

Abstract readReview
In one paragraph

Review in Microorganisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Complete genome sequence of aMicrobiology resource announcements · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. First Report ofMicroorganisms · 2026
    Article
  10. Article
  11. Article
  12. 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

3 authors.

Zhaomeng WuCollege of Agricultural Science and Engineering, Hohai University, Nanjing 211100, China.
Xiaohou ShaoCollege of Agricultural Science and Engineering, Hohai University, Nanjing 211100, China.
Qilin WangCollege of Agricultural Science and Engineering, Hohai University, Nanjing 211100, China.

Funding

Natural Science Foundation of Zhejiang Province LQN25E090002the Key Laboratory of Environment Remediation and Ecological Health (Zhejiang University), Ministry of Education EREH202404the Major Science and Technology Projects of the Ministry of Water Resources SKR-2022070
6 · The paper itself

Abstract

Global antibiotic use saturates ecosystems with selective pressure, driving mobile genetic element (MGE)-mediated antibiotic resistance gene (ARG) dissemination that destabilizes ecological integrity and breaches public health defenses. This review synthesizes the sources, environmental distribution, and ecological risks of antibiotics and ARGs, emphasizing the mechanisms of horizontal gene transfer (HGT) driven by MGEs such as plasmids, transposons, and integrons. We further conduct a comparative critical analysis of the effectiveness and limitations of antibiotics and ARGs remediation strategies for adsorption (biochar, activated carbon, carbon nanotubes), chemical degradation (advanced oxidation processes, Fenton-based systems), and biological treatment (microbial degradation, constructed wetlands). To effectively curb the spread of antimicrobial resistance and safeguard the sustainability of ecosystems, we propose an integrated "One Health" framework encompassing enhanced global surveillance (antibiotic residues and ARGs dissemination) as well as public education.

Indexed as

adsorptionadvanced oxidation processesbiological degradationenvironmental contaminationhorizontal gene transfernovel environmental pollutants

Identifiers

PMID40871267
PMCPMC12388852

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.