Evidence map›Paper›PMID 36094196›Full record

ArticleAntimicrobial agents and chemotherapy2022

Mutagenesis and Resistance Development of Bacteria Challenged by Silver Nanoparticles.

Kun Wu, Haichao Li, Xiao Cui, Ruobing Feng, Weizhe Chen, Yuchen Jiang, Chao Tang, Yaohai Wang, Yan Wang, Xiaopeng Shen and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Green Silver Nanoparticles: An Antibacterial Mechanism.Antibiotics (Basel, Switzerland) · 2024
    Review
  10. Article
  11. Article
  12. Review
  13. SilversolPharmaceutics · 2024
    Article
  14. Article
  15. Metals to combat antimicrobial resistance.Nature reviews. Chemistry · 2023
    Review
  16. 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

13 authors at 5 institutions in 2 countries.

Kun Wu *Institute of Evolution and Marine Biodiversity, KLMME, Ocean University of Chinagrid.4422.0, Qingdao, China.
Haichao Li *Institute of Evolution and Marine Biodiversity, KLMME, Ocean University of Chinagrid.4422.0, Qingdao, China.
Xiao CuiInstitute of Evolution and Marine Biodiversity, KLMME, Ocean University of Chinagrid.4422.0, Qingdao, China.
Ruobing FengInstitute of Evolution and Marine Biodiversity, KLMME, Ocean University of Chinagrid.4422.0, Qingdao, China.
Weizhe ChenInstitute of Evolution and Marine Biodiversity, KLMME, Ocean University of Chinagrid.4422.0, Qingdao, China.
Yuchen JiangInstitute of Evolution and Marine Biodiversity, KLMME, Ocean University of Chinagrid.4422.0, Qingdao, China.
Chao TangInstitute of Evolution and Marine Biodiversity, KLMME, Ocean University of Chinagrid.4422.0, Qingdao, China.
Yaohai WangInstitute of Evolution and Marine Biodiversity, KLMME, Ocean University of Chinagrid.4422.0, Qingdao, China.
Yan WangInstitute of Evolution and Marine Biodiversity, KLMME, Ocean University of Chinagrid.4422.0, Qingdao, China.
Xiaopeng ShenCollege of Life Sciences, Anhui Normal University, Wuhu, Anhui, China.
Yufei LiuKey Laboratory of Optoelectronic Technology & Systems, Chongqing Universitygrid.190737.b, Ministry of Education, Chongqing, China.
Michael LynchBiodesign Center for Mechanisms of Evolution, Arizona State University, Tempe, Arizona, USA.
Hongan LongInstitute of Evolution and Marine Biodiversity, KLMME, Ocean University of Chinagrid.4422.0, Qingdao, China.ORCID 0000-0001-9767-8173
Ocean University of China · CNQingdao National Laboratory for Marine Science and Technology · CNAnhui Normal University · CNArizona State University · USChongqing University · CN

Funding

Causes and Population-genetic Consequences of Molecular VariationR35GM122566 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI Michael R LYNCH · 2017 to 2026
$7.7M
HHS | National Institutes of Health (NIH) R35-GM122566NIGMS NIH HHS R35 GM122566
6 · The paper itself

Abstract

Because of their extremely broad spectrum and strong biocidal power, nanoparticles of metals, especially silver (AgNPs), have been widely applied as effective antimicrobial agents against bacteria, fungi, and so on. However, the mutagenic effects of AgNPs and resistance mechanisms of target cells remain controversial. In this study, we discover that AgNPs do not speed up resistance mutation generation by accelerating genome-wide mutation rate of the target bacterium Escherichia coli. AgNPs-treated bacteria also show decreased expression in quorum sensing (QS), one of the major mechanisms leading to population-level drug resistance in microbes. Nonetheless, these nanomaterials are not immune to resistance development by bacteria. Gene expression analysis, experimental evolution in response to sublethal or bactericidal AgNPs treatments, and gene editing reveal that bacteria acquire resistance mainly through two-component regulatory systems, especially those involved in metal detoxification, osmoregulation, and energy metabolism. Although these findings imply low mutagenic risks of nanomaterial-based antimicrobial agents, they also highlight the capacity for bacteria to evolve resistance.

Indexed as

Anti-Infective AgentsMetal NanoparticlesAnti-Bacterial AgentsBacteriaEscherichia coliMicrobial Sensitivity TestsMutagenesisSilverAnti-Bacterial AgentsAnti-Infective AgentsSilverantimicrobial agentsdrug resistanceenvironmental mutagenesisexperimental evolutionmetallic nanoparticles

Identifiers

PMID36094196
PMCPMC9578424
OpenAlexW4297785684

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.