Evidence map›Paper›PMID 28638106›Full record

ArticleScientific reports2017

Protective Efficacy of the Trivalent Pseudomonas aeruginosa Vaccine Candidate PcrV-OprI-Hcp1 in Murine Pneumonia and Burn Models.

Feng Yang, Jiang Gu, Liuyang Yang, Chen Gao, Haiming Jing, Ying Wang, Hao Zeng, Quanming Zou, Fenglin Lv, Jinyong Zhang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

43 citing papers in PubMed, 75 citations in OpenAlex.

  1. Article
  2. Structural and functional insights into Pseudomonas aeruginosa's secretion systems 1-6: regulation, role in microbial keratitis and drug targets.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Review
  3. Mapping the knowledge landscape ofFrontiers in cellular and infection microbiology · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. International journal of molecular sciences · 2025
    Review
  8. Review
  9. Review
  10. Article
  11. Antimicrobial resistance ofFrontiers in microbiology · 2024
    Review
  12. Frontiers in immunology · 2024
    Review
  13. Infectious medicine · 2023
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Immunopotentiating properties of chimeric OprF-OprI-PopB protein againstIranian journal of basic medical sciences · 2022
    Article
  20. 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

10 authors at 2 institutions in 1 country.

Feng YangCollege of Bioengineering, Chongqing University, Chongqing, 400030, PR China.
Jiang GuNational Engineering Research Center of Immunological Products, Department of Microbiology and Biochemical Pharmacy, College of Pharmacy, Third Military Medical University, Chongqing, 400038, PR China.
Liuyang YangNational Engineering Research Center of Immunological Products, Department of Microbiology and Biochemical Pharmacy, College of Pharmacy, Third Military Medical University, Chongqing, 400038, PR China.
Chen GaoNational Engineering Research Center of Immunological Products, Department of Microbiology and Biochemical Pharmacy, College of Pharmacy, Third Military Medical University, Chongqing, 400038, PR China.
Haiming JingNational Engineering Research Center of Immunological Products, Department of Microbiology and Biochemical Pharmacy, College of Pharmacy, Third Military Medical University, Chongqing, 400038, PR China.
Ying WangNational Engineering Research Center of Immunological Products, Department of Microbiology and Biochemical Pharmacy, College of Pharmacy, Third Military Medical University, Chongqing, 400038, PR China.
Hao ZengNational Engineering Research Center of Immunological Products, Department of Microbiology and Biochemical Pharmacy, College of Pharmacy, Third Military Medical University, Chongqing, 400038, PR China.
Quanming ZouNational Engineering Research Center of Immunological Products, Department of Microbiology and Biochemical Pharmacy, College of Pharmacy, Third Military Medical University, Chongqing, 400038, PR China.
Fenglin LvCollege of Bioengineering, Chongqing University, Chongqing, 400030, PR China. lyufenglin@cqu.edu.cn.
Jinyong ZhangNational Engineering Research Center of Immunological Products, Department of Microbiology and Biochemical Pharmacy, College of Pharmacy, Third Military Medical University, Chongqing, 400038, PR China. zhangjy198217@126.com.
Army Medical University · CNChongqing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pseudomonas aeruginosa is a formidable pathogen that is responsible for a diverse spectrum of human infectious diseases, resulting in considerable annual mortality rates. Because of biofilm formation and its ability of rapidly acquires of resistance to many antibiotics, P. aeruginosa related infections are difficult to treat, and therefore, developing an effective vaccine is the most promising method for combating infection. In the present study, we designed a novel trivalent vaccine, PcrV

Indexed as

Immunization, PassiveVaccinationAnimalsAntibodies, BacterialAntigens, BacterialBacterial ToxinsBurnsDisease Models, AnimalFemaleMice, Inbred BALB CPneumoniaPore Forming Cytotoxic ProteinsPseudomonas aeruginosaPseudomonas InfectionsVaccinesVirulence FactorsAntibodies, BacterialAntigens, Bacterialantigen V, PseudomonasBacterial ToxinsPore Forming Cytotoxic ProteinsVaccinesVirulence Factors

Identifiers

PMID28638106
PMCPMC5479855
OpenAlexW2626061433

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.