Evidence map›Paper›PMID 34996351›Full record

ArticleBMC genomics2022

Carriage of distinct bla

Yanxian Yang, Yongqiang Yang, Mohamed Abd El-Gawad El-Sayed Ahmed, Mingyang Qin, Ruowen He, Yiping Wu, Xiaoxue Liang, Lan-Lan Zhong, Ping Chen, Baoguo Deng and 6 more

Erratum issuedAbstract read
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Co-occurrence of blaBMC microbiology · 2026
    Article
  3. Distribution of ST116 carbapenem-resistantFrontiers in cellular and infection microbiology · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Microbiology spectrum · 2024
    Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Yanxian Yang *Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, 510080, China.
Yongqiang Yang *Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, 510080, China.
Mohamed Abd El-Gawad El-Sayed Ahmed *Department of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, 510080, China.
Mingyang QinDepartment of Pathogen Biology, School of Basic Medical, Xinxiang Medical University, Xinxiang, 453003, China.
Ruowen HeDepartment of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, 510080, China.
Yiping WuDepartment of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, 510080, China.
Xiaoxue LiangSchool of Laboratory Medicine, Chengdu Medical College, Chengdu, 610500, China.
Lan-Lan ZhongDepartment of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, 510080, China.
Ping ChenDepartment of Pathogen Biology, School of Basic Medical, Xinxiang Medical University, Xinxiang, 453003, China.
Baoguo DengDepartment of Pathogen Biology, School of Basic Medical, Xinxiang Medical University, Xinxiang, 453003, China.
Reem Mostafa HassanDepartment of Clinical and Chemical Pathology, Faculty of Medicine, Cairo University, Cairo, Egypt.
Weihong WenDepartment of Clinical Laboratory, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, 511518, China.
Lingqing XuDepartment of Clinical Laboratory, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, 511518, China.
Xubin HuangDepartment of Pulmonary and Critical Care Medicine, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. huangxb@mail.sysu.edu.cn.
Lin XuDepartment of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, 510080, China. xulin@mail.sysu.edu.cn.
Guo-Bao TianDepartment of Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, 510080, China. tiangb@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCarbapenem-resistant hypervirulent K. pneumoniae (CR-hvKP) causes serious infections with significant morbidity and mortality. However, the epidemiology and transmission mechanisms of CR-hvKP and the corresponding carbapenem-resistant plasmids require further investigation. Herein, we have characterized an ST11 K. pneumoniae strain EBSI041 from the blood sample encoding both hypervirulence and carbapenem resistance phenotypes from a patient in Egypt.

resultsK. pneumoniae strain EBSI041 showed multidrug-resistance phenotypes, where it was highly resistant to almost all tested antibiotics including carbapenems. And hypervirulence phenotypes of EBSI041 was confirmed by the model of Galleria mellonella infection. Whole-genome sequencing analysis showed that the hybrid plasmid pEBSI041-1 carried a set of virulence factors rmpA, rmpA2, iucABCD and iutA, and six resistance genes aph(3')-VI, armA, msr(E), mph(E), qnrS, and sul2. Besides, bla

conclusionTo the best of our knowledge, this is the first report on the complete genome sequence of KPC-2- and OXA-48-coproducing hypervirulent K. pneumoniae from Egypt. These results give new insights into the adaptation and evolution of K. pneumoniae during nosocomial infections.

Indexed as

Klebsiella InfectionsKlebsiella pneumoniaeAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasesCarbapenemsEgyptHumansPlasmidsAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasesCarbapenemsEgyptHypervirulenceKPC-2K. pneumoniaeOXA-48

Identifiers

PMID34996351
PMCPMC8742346

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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.