Evidence map›Paper›PMID 33168102›Full record

ArticleAntimicrobial resistance and infection control2020

The carbapenem resistance gene bla

Gongli Zong, Chuanqing Zhong, Jiafang Fu, Yu Zhang, Peipei Zhang, Wenchi Zhang, Yan Xu, Guangxiang Cao, Rongzhen Zhang

Open access · goldAbstract read
In one paragraph

Article in Antimicrobial resistance and infection control, 2020. 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
0.9field-weighted citation impact, top 31% 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, 23 citations in OpenAlex.

  1. Article
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  3. Exploring the Antibacterial and Antioxidant Effects ofInternational journal of microbiology · 2026
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  6. Identification ofVeterinary world · 2024
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  7. An efflux pump in genomic island GI-M202a mediates the transfer of polymyxin B resistance in Pandoraea pnomenusa M202.International microbiology : the official journal of the Spanish Society for Microbiology · 2024
    Article
  8. Article
  9. Review
  10. Emergence of eravacycline heteroresistance in carbapenem-resistantFrontiers in cellular and infection microbiology · 2024
    Article
  11. Complete genetic characterization of carbapenem-resistantFrontiers in cellular and infection microbiology · 2023
    Article
  12. Article
  13. Coexistence ofFrontiers in cellular and infection microbiology · 2023
    Article
  14. Review
  15. Co-evolutionary adaptations ofEvolutionary applications · 2022
    Article
  16. 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

9 authors at 5 institutions in 2 countries.

Gongli ZongKey Laboratory of Industrial Biotechnology of Ministry of Education and School of Biotechnology, Jiangnan University, Wuxi, 214122, China.
Chuanqing ZhongSchool of Municipal and Environmental Engineering, Shandong Jianzhu University, Jinan, 250101, China.
Jiafang FuDepartment of Epidemiology, The First Affiliated Hospital of Shandong First Medical University, Jinan, 250062, China.
Yu ZhangSchool of Municipal and Environmental Engineering, Shandong Jianzhu University, Jinan, 250101, China.
Peipei ZhangDepartment of Epidemiology, The First Affiliated Hospital of Shandong First Medical University, Jinan, 250062, China.
Wenchi ZhangSolomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Yan XuKey Laboratory of Industrial Biotechnology of Ministry of Education and School of Biotechnology, Jiangnan University, Wuxi, 214122, China.
Guangxiang CaoDepartment of Epidemiology, The First Affiliated Hospital of Shandong First Medical University, Jinan, 250062, China. caozhong0402@163.com.
Rongzhen ZhangKey Laboratory of Industrial Biotechnology of Ministry of Education and School of Biotechnology, Jiangnan University, Wuxi, 214122, China. rzzhang@jiangnan.edu.cn.
Shandong First Medical University · CNJiangnan University · CNShandong Jianzhu University · CNJohns Hopkins Medicine · USNational Health and Family Planning Commission · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCarbapenem resistant Acinetobacter species have caused great difficulties in clinical therapy in the worldwide. Here we describe an Acinetobacter johnsonii M19 with a novel bla

methodsA. johnsonii M19 was isolated under selection with 8 mg/L meropenem from hospital sewage, and the minimum inhibitory concentrations (MICs) for the representative carbapenems imipenem, meropenem and ertapenem were determined. The genome of A. johnsonii M19 was sequenced by PacBio RS II and Illumina HiSeq 4000 platforms. A homologous model of OXA-23 was generated, and molecular docking models with imipenem, meropenem and ertapenem were constructed by Discovery Studio 2.0. Type IV secretion system and conjugation elements were identified by the Pathosystems Resource Integration Center (PATRIC) server and the oriTfinder. Mating experiments were performed to evaluate transfer of OXA-23 to Escherichia coli 25DN.

resultsMICs of A. johnsonii M19 for imipenem, meropenem and ertapenem were 128 mg/L, 48 mg/L and 24 mg/L, respectively. Genome sequencing identified plasmid pFM-M19, which harbours the carbapenem resistance gene bla

conclusionsOur investigation showed that A. johnsonii M19 is a source and disseminator of bla

Indexed as

Conjugation, GeneticDNA Transposable ElementsAcinetobacterbeta-LactamasesCarbapenemsDrug Resistance, BacterialMicrobial Sensitivity TestsPlasmidsbeta-lactamase OXA-23beta-LactamasesCarbapenemsDNA Transposable ElementsAcinetobacter johnsoniiblaOXA-23Carbapenem resistanceConjugative plasmidNovel transposon Tn6681

Identifiers

PMID33168102
PMCPMC7653874
OpenAlexW3104615780

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.