The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Biological Costs and Mechanisms of Fosfomycin Resistance in Escherichia coli
Open accessAbstract
Fosfomycin is a cell wall inhibitor used mainly for the treatment of uncomplicated lower urinary tract infections. As shown here, resistance to fosfomycin develops rapidly in Escherichia coli under experimental conditions, but in spite of the relatively high mutation rate in vitro, resistance in clinical isolates is rare. To examine this apparent contradiction, we mathematically modeled the probability of resistance development in the bladder during treatment. The modeling showed that during a typical episode of urinary tract infection, the probability of resistance development was high (>10 −2 ). However, if resistance was associated with a reduction in growth rate, the probability of resistance development rapidly decreased. To examine if fosfomycin resistance causes a reduced growth rate, we isolated in vitro and in vivo a set of resistant strains. We determined their resistance mechanisms and examined the effect of the different resistance mutations on bacterial growth in the absence and presence of fosfomycin. The types of mutations found in vitro and in vivo were partly different. Resistance in the mutants isolated in vitro was caused by ptsI , cyaA , glpT , uhpA/T , and unknown mutations, whereas no cyaA or ptsI mutants could be found in vivo. All mutations caused a decreased growth rate both in laboratory medium and in urine, irrespective of the absence or presence of fosfomycin. According to the mathematical model, the reduced growth rate of the resistant strains will prevent them from establishing in the bladder, which could explain why fosfomycin resistance remains rare in clinical isolates.
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
Cites
The distribution of the numbers of mutants in bacterial populations
Lea, D. E., & Coulson, C. A. (1949) · Journal of Genetics · doi:10.1007/bf02986080 · Cited by 1,450
Causes of the Acute Urethral Syndrome in Women
Stamm, W. E., Wagner, K. F., Amsel, R., Alexander, E. R., Turck, M., Counts, G. W., & Holmes, K. K. (1980) · New England Journal of Medicine · doi:10.1056/nejm198008213030801 · Cited by 481
Cited by
Antibiotic resistance and its cost: is it possible to reverse resistance?
Andersson, D. I., & Hughes, D. (2010) · Nature Reviews Microbiology · doi:10.1038/nrmicro2319 · Cited by 2,294
Self-citationChallenges of Antibacterial Discovery
Silver, L. L. (2011) · Clinical Microbiology Reviews · doi:10.1128/cmr.00030-10 · Cited by 1,376
Fosfomycin: Mechanism and Resistance
Silver, L. L. (2017) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a025262 · Cited by 320
Multi-targeting by monotherapeutic antibacterials
Silver, L. L. (2007) · Nature Reviews Drug Discovery · doi:10.1038/nrd2202 · Cited by 311
The Gram-negative permeability barrier: tipping the balance of the in and the out
Maher, C., & Hassan, K. A. (2023) · mBio · doi:10.1128/mbio.01205-23 · Cited by 194
Metadata
- Authors
- Nilsson, A. I., Berg, O. G., Aspevall, O., Kahlmeter, G., & Andersson, D. I.
- Venue
- Antimicrobial Agents and Chemotherapy
- Publisher
- American Society for Microbiology
- Published
- 2003-09
- Volume
- 47
- Issue
- 9
- Pages
- 2850-2858
- ISSN
- 0066-4804 (ISSN-L)
- 1098-6596
- OpenAlex
- W2111151469
- Cited by
- 241
- References
- 2
- FWCI
- 2.09
- Type
- journal article
- Language
- en
- Open access
- green
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: Biological Costs and Mechanisms of Fosfomycin Resistance in Escherichia coli. https://app.cochat.ai/papers/10.1128/aac.47.9.2850-2858.2003
- The paper
- Nilsson, A. I., Berg, O. G., Aspevall, O., Kahlmeter, G., & Andersson, D. I. (2003). Biological Costs and Mechanisms of Fosfomycin Resistance in Escherichia coli. Antimicrobial Agents and Chemotherapy. https://doi.org/10.1128/aac.47.9.2850-2858.2003
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.