The DOI matches its Crossref record.
16S Ribosomal RNA Methylation: Emerging Resistance Mechanism against Aminoglycosides
Abstract
Methylation of 16S ribosomal RNA (rRNA) has recently emerged as a new mechanism of resistance against aminoglycosides among gram-negative pathogens belonging to the family Enterobacteriaceae and glucose-nonfermentative microbes, including Pseudomonas aeruginosa and Acinetobacter species. This event is mediated by a newly recognized group of 16S rRNA methylases, which share modest similarity to those produced by aminoglycoside-producing actinomycetes. Their presence confers a high level of resistance to all parenterally administered aminoglycosides that are currently in clinical use. The responsible genes are mostly located on transposons within transferable plasmids, which provides them with the potential to spread horizontally and may in part explain the already worldwide distribution of this novel resistance mechanism. Some of these organisms have been found to coproduce extended-spectrum beta-lactamases or metallo-beta-lactamases, contributing to their multidrug-resistant phenotypes. A 2-tiered approach, consisting of disk diffusion tests followed by confirmation with polymerase chain reaction, is recommended for detection of 16S rRNA methylase-mediated resistance.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Impact of multidrug-resistant Pseudomonas aeruginosa infection on patient outcomes
Hirsch, E. B., & Tam, V. H. (2010) · Expert Review of Pharmacoeconomics & Outcomes Research · doi:10.1586/erp.10.49 · Cited by 406
Acinetobacter spp. as nosocomial pathogens: Epidemiology and resistance features
Almasaudi, S. B. (2018) · Saudi Journal of Biological Sciences · doi:10.1016/j.sjbs.2016.02.009 · Cited by 365
Escalating antimicrobial resistance among Enterobacteriaceae: Focus on carbapenemases
Lynch, J. P., Clark, N. M., & Zhanel, G. G. (2021) · Expert Opinion on Pharmacotherapy · doi:10.1080/14656566.2021.1904891 · Cited by 58
Metadata
- Authors
- Doi, Y., & Arakawa, Y.
- Venue
- Clinical Infectious Diseases
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-07-01
- Volume
- 45
- Issue
- 1
- Pages
- 88-94
- ISSN
- 1058-4838 (ISSN-L)
- 1537-6591
- OpenAlex
- W2127653962
- Cited by
- 571
- References
- 0
- FWCI
- 12.62
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: 16S Ribosomal RNA Methylation: Emerging Resistance Mechanism against Aminoglycosides. https://app.cochat.ai/papers/10.1086/518605
- The paper
- Doi, Y., & Arakawa, Y. (2007). 16S Ribosomal RNA Methylation: Emerging Resistance Mechanism against Aminoglycosides. Clinical Infectious Diseases. https://doi.org/10.1086/518605
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.