Evidence map›Paper›PMID 23637790›Full record

ArticlePloS one2013

Enhanced immune response and protective effects of nano-chitosan-based DNA vaccine encoding T cell epitopes of Esat-6 and FL against Mycobacterium tuberculosis infection.

Ganzhu Feng, Qingtao Jiang, Mei Xia, Yanlai Lu, Wen Qiu, Dan Zhao, Liwei Lu, Guangyong Peng, Yingwei Wang

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.0field-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

39 citing papers in PubMed, 113 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 3 countries.

Ganzhu FengDepartment of Microbiology and Immunology, Nanjing Medical University, Nanjing, China.
Qingtao Jiang
Mei Xia
Yanlai Lu
Wen Qiu
Dan Zhao
Liwei Lu
Guangyong Peng
Yingwei Wang
Nanjing Medical University · CNSaint Louis University · USUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Development of a novel and effective vaccine against Mycobacterium tuberculosis (M.tb) is a challenging for preventing TB infection. In this study, a novel nanoparticle-based recombinant DNA vaccine was developed, which contains Esat-6 three T cell epitopes (Esat-6/3e) and fms-like tyrosine kinase 3 ligand (FL) genes (termed Esat-6/3e-FL), and was enveloped with chitosan (CS) nanoparticles (nano-chitosan). The immunologic and protective efficacy of the nano-chitosan-based DNA vaccine (termed nano-Esat-6/3e-FL) was assessed in C57BL/6 mice after intramuscular prime vaccination with the plasmids DNA and nasal boost with the Esat-6/3e peptides. The results showed that the immunized mice remarkably elicited enhanced T cell responses and protection against M.tb H37Rv challenge. These findings indicate that the nano-chitosan can significantly elevate the immunologic and protective effects of the DNA vaccine, and the nano-Esat-6/3e-FL is a useful vaccine for preventing M.tb infection in mice.

Indexed as

Amino Acid SequenceAnimalsAntigens, BacterialBacterial ProteinsCell CountCell ProliferationChitosanCytokinesEpitopes, T-LymphocyteFemalefms-Like Tyrosine Kinase 3GATA3 Transcription FactorGene Expression RegulationImmunizationInterferon-gammaLigandsAntigens, BacterialBacterial ProteinsChitosanCytokinesEpitopes, T-LymphocyteESAT-6 protein, Mycobacterium tuberculosisfms-Like Tyrosine Kinase 3GATA3 Transcription FactorInterferon-gammaLigandsRecombinant ProteinsT-bet Transcription FactorT-Box Domain ProteinsVaccines, DNA

Identifiers

PMID23637790
PMCPMC3634041
OpenAlexW1968939141

What OpenQuestion holds

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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.