Evidence map›Paper›PMID 40985758›Full record

ArticleGenetics2025

Effectiveness of CRISPR-Cas in sensitizing bacterial populations with plasmid-encoded antimicrobial resistance.

Johannes Kippnich, Fabienne Benz, Hildegard Uecker, Franz Baumdicker

Abstract read
In one paragraph

Article in Genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Molecular Insights into Carbapenem Resistance inInternational journal of molecular sciences · 2026
    Review
  7. Article
  8. Article
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

4 authors.

Johannes KippnichCluster of Excellence "Controlling Microbes to Fight Infections", Mathematical and Computational Population Genetics, University of Tübingen, Sand 14, Tübingen 72076, Germany.
Fabienne BenzDepartment of Microbiology, Institut Pasteur, Université Paris Cité, CNRS UMR6047, Synthetic Biology, Paris 75015, France.
Hildegard UeckerResearch Group Stochastic Evolutionary Dynamics, Department of Theoretical Biology, Max Planck Institute for Evolutionary Biology, August-Thienemann-Straße 2, Plön 24306  Germany.ORCID 0000-0001-9435-2813
Franz BaumdickerCluster of Excellence "Controlling Microbes to Fight Infections", Mathematical and Computational Population Genetics, University of Tübingen, Sand 14, Tübingen 72076, Germany.ORCID 0000-0001-9106-7259

Funding

German Research Foundation EXC number 2064/1-Project number 390727645, and EXC 2124-Project number 390838134German Research Foundation SPP 2141 - Project number Ba-5529/1-1SNSF P500PB_210944
6 · The paper itself

Abstract

The spread of bacteria resistant to antibiotics poses a serious threat to human health. Genes that encode antibiotic resistance are often harbored on plasmids, extra-chromosomal DNA molecules found in bacteria. The emergence of multiresistance plasmids is particularly problematic and demands the development of new antibiotics and alternative strategies. CRISPR-Cas derived tools with their sequence specificity offer a promising new approach to combating antibiotic resistance. By introducing CRISPR-Cas encoding plasmids that target antibiotic resistance genes on plasmids, the susceptibility of bacteria to conventional antibiotics can be restored. However, genetic variation within bacterial populations can hinder the effectiveness of such CRISPR-Cas tools by allowing some mutant plasmids to evade CRISPR-mediated cleaving or gene silencing. In this study, we develop a model to test the effectiveness of CRISPR-Cas in sensitizing bacterial populations carrying resistance on nontransmissible plasmids and assess the success probability of a subsequent treatment with conventional antibiotics. We evaluate this probability according to the target interference mechanism, the copy number of the resistance-encoding plasmid, and its compatibility with the CRISPR-Cas encoding plasmid. Our results identify promising approaches to revert antibiotic resistance with CRISPR-Cas encoding plasmids: A DNA-cleaving CRISPR-Cas system on a plasmid incompatible with the targeted plasmid is most effective for low copy numbers, while for resistance plasmids with higher copy numbers gene silencing by CRISPR-Cas systems encoded on compatible plasmids is the superior solution.

Indexed as

BacteriaCRISPR-Cas SystemsDrug Resistance, BacterialPlasmidsAnti-Bacterial AgentsAnti-Bacterial Agentsantibiotic resistanceCRISPR antimicrobialsCRISPR-Casgene silencingmultidrug resistanceplasmid copy numberresistance plasmids

Identifiers

PMID40985758
PMCPMC12606438

What Socratic 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 Socratic graph.