Evidence map›Paper›PMID 40293254›Full record

ArticleMicrobiology spectrum2025

Comparison of CRISPR-Cas9, CRISPR-Cas12f1, and CRISPR-Cas3 in eradicating resistance genes KPC-2 and IMP-4.

Jun Huang, Kanghui Ding, Jiahui Chen, Jiao Fan, Luyao Huang, Shaofu Qiu, Ligui Wang, Xinying Du, Chao Wang, Haifeng Pan and 3 more

Abstract readComparative Study
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Avian PathogenicVeterinary sciences · 2025
    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.

Jun HuangDepartment of Infectious Disease Prevention and Control, Chinese People's Liberation Army Center for Disease Control and Prevention, Beijing, China.ORCID 0009-0006-1827-5696
Kanghui DingDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
Jiahui ChenDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, China.
Jiao FanDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, China.
Luyao HuangDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, China.
Shaofu QiuDepartment of Infectious Disease Prevention and Control, Chinese People's Liberation Army Center for Disease Control and Prevention, Beijing, China.
Ligui WangDepartment of Infectious Disease Prevention and Control, Chinese People's Liberation Army Center for Disease Control and Prevention, Beijing, China.
Xinying DuDepartment of Infectious Disease Prevention and Control, Chinese People's Liberation Army Center for Disease Control and Prevention, Beijing, China.
Chao WangDepartment of Infectious Disease Prevention and Control, Chinese People's Liberation Army Center for Disease Control and Prevention, Beijing, China.
Haifeng PanDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.ORCID 0000-0001-8218-5747
Zhengquan YuanDepartment of Infectious Disease Prevention and Control, Chinese People's Liberation Army Center for Disease Control and Prevention, Beijing, China.
Hongbo LiuDepartment of Infectious Disease Prevention and Control, Chinese People's Liberation Army Center for Disease Control and Prevention, Beijing, China.ORCID 0000-0002-2320-3682
Hongbin SongDepartment of Infectious Disease Prevention and Control, Chinese People's Liberation Army Center for Disease Control and Prevention, Beijing, China.ORCID 0000-0002-2781-3031

Funding

National Science and Technology Major Project 2021YFC2301102National Science Foundation of China 32141003National Science Foundation of China 32300080
6 · The paper itself

Abstract

Bacterial plasmid encoding antibiotic resistance could be eradicated by various CRISPR systems, such as CRISPR-Cas9, Cas12f1, and Cas3. However, the efficacy of these gene editing tools against bacterial resistance has not been systematically assessed and compared. This study eliminates carbapenem resistance genes KPC-2 and IMP-4 via CRISPR-Cas9, Cas12f1, and Cas3 systems, respectively. The eradication efficiency of the three CRISPR systems was evaluated. First, the target sites for the three CRISPR systems were designed within the regions 542-576 bp of the KPC-2 gene and 213-248 bp of the IMP-4 gene, respectively. The recombinant CRISPR plasmids were transformed into IMPORTANCE: With the continuous development and application of CRISPR-based resistance removal technologies, CRISPR-Cas9, Cas12f1, and Cas3 have gradually come into focus. However, it remains uncertain which system exhibits more potent efficacy in the removal of bacterial resistance. This study verifies that CRISPR-Cas9, Cas12f1, and Cas3 can eradicate the carbapenem-resistant genes KPC-2 and IMP-4 and restore the sensitivity of drug-resistant model bacteria to antibiotics. Among the three CRISPR systems, the CRISPR-Cas3 system showed the highest eradication efficiency. Although each system has its advantages and characteristics, our results provide guidance on the selection of the CRISPR system from the perspective of resistance gene removal efficiency, contributing to the further application of CRISPR-based bacterial resistance removal technologies.

Indexed as

Bacterial Proteinsbeta-LactamasesCRISPR-Cas SystemsEscherichia coliGene EditingAnti-Bacterial AgentsCarbapenemsDrug Resistance, BacterialKlebsiella pneumoniaeMicrobial Sensitivity TestsPlasmidsAnti-Bacterial AgentsBacterial Proteinsbeta-lactamase KPC-2beta-LactamasesCarbapenemsantimicrobial resistanceCRISPR-Cas12f1CRISPR-Cas3CRISPR-Cas9IMP-4KPC-2

Identifiers

PMID40293254
PMCPMC12131857

What OpenQuestion holds

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Registered trials

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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.