Evidence map›Paper›PMID 29312304›Full record

ArticleFrontiers in immunology2017

Identification of Potential MHC Class-II-Restricted Epitopes Derived from

Manas Ranjan Dikhit, Akhilesh Kumar, Sushmita Das, Budheswar Dehury, Ajaya Kumar Rout, Fauzia Jamal, Ganesh Chandra Sahoo, Roshan Kamal Topno, Krishna Pandey, V N R Das and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
9.2field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Article
  3. Genes · 2023
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  4. A New Strategy for Mapping Epitopes of LACK and PEPCK Proteins ofInternational journal of molecular sciences · 2023
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  5. Article
  6. Article
  7. Article
  8. Validating Immunomodulatory Responses of r-Pathogens (Basel, Switzerland) · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Screening Novel Vaccine Candidates forFrontiers in immunology · 2022
    Article
  13. Evaluation and Designing of Epitopic-Peptide Vaccine AgainstInternational journal of peptide research and therapeutics · 2022
    Article
  14. Article
  15. Review
  16. Article
  17. High throughput and comprehensive approach to develop multiepitope vaccine against minacious COVID-19.European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2020
    Article
  18. Article
  19. Computational tools for modern vaccine development.Human vaccines & immunotherapeutics · 2020
    Review
  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

12 authors at 4 institutions in 1 country.

Manas Ranjan DikhitBioMedical Informatics Division, Rajendra Memorial Research Institute of Medical Sciences, Patna, India.
Akhilesh KumarDepartment of Immunology, Rajendra Memorial Research Institute of Medical Sciences, Patna, India.
Sushmita DasDepartment of Microbiology, All India Institute of Medical Sciences, Patna, India.
Budheswar DehuryBiomedical Informatics Centre, ICMR-Regional Medical Research Centre, Odisha, India.
Ajaya Kumar RoutBiotechnology Laboratory, ICAR-Central Inland Fisheries Research Institute, Kolkata, India.
Fauzia JamalDepartment of Microbiology, Rajendra Memorial Research Institute of Medical Sciences, Patna, India.
Ganesh Chandra SahooBioMedical Informatics Division, Rajendra Memorial Research Institute of Medical Sciences, Patna, India.
Roshan Kamal TopnoDepartment of Clinical Medicine, Rajendra Memorial Research Institute of Medical Sciences, Patna, India.
Krishna PandeyDepartment of Clinical Medicine, Rajendra Memorial Research Institute of Medical Sciences, Patna, India.
V N R DasDepartment of Clinical Medicine, Rajendra Memorial Research Institute of Medical Sciences, Patna, India.
Sanjiva BimalDepartment of Immunology, Rajendra Memorial Research Institute of Medical Sciences, Patna, India.
Pradeep DasDepartment of Molecular Parasitology, Rajendra Memorial Research Institute of Medical Sciences, Patna, India.
Rajendra Memorial Research Institute of Medical Sciences · INAll India Institute of Medical Sciences · INCentral Inland Fisheries Research Institute · INRegional Medical Research Centre · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visceral leishmaniasis (VL) is one of the most neglected tropical diseases for which no vaccine exists. In spite of extensive efforts, no successful vaccine is available against this dreadful infectious disease. To support vaccine development, an immunoinformatics approach was applied to screen potential MHC class-II-restricted epitopes that can activate the immune cells. Initially, 37 epitopes derived from six stage-dependent, overexpressed antigens were predicted, which were presented by at least 26 diverse MHC class-II allele. Based on a population coverage analysis and human leukocyte antigen cross-presentation ability, six of the 37 epitopes were selected for further analysis. Stimulation with synthetic peptide alone or as a cocktail triggered intracellular IFN-γ production. Moreover, specific IgG antibodies were detected in the serum of active VL cases against P1, P4, P5, and P6 in order to evaluate the peptide effect on the humoral immune response. Additionally, most of the peptides, except P2, were found to be non-inducers of CD4+ IL-10 against both active VL as well as treated VL subjects. This finding suggests there is no role of these peptides in the pathogenesis of

Indexed as

CD4 epitopeIFN-γimmunoinformaticsLeishmaniavaccinevisceral leishmaniasis

Identifiers

PMID29312304
PMCPMC5735068
OpenAlexW2771547340

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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.