Evidence map›Paper›PMID 34226593›Full record

ArticleScientific reports2021

An immunoinformatics approach to design a multi-epitope vaccine against Mycobacterium tuberculosis exploiting secreted exosome proteins.

Rahul Sharma, Vikrant Singh Rajput, Salma Jamal, Abhinav Grover, Sonam Grover

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. 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 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 9% 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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
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  11. Bioinformatics and biology insights · 2026
    Article
  12. Drug resistance mechanisms inFrontiers in pharmacology · 2026
    Review
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  15. Article
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  17. Research progress of mRNA vaccines for infectious diseases.European journal of medical research · 2025
    Review
  18. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Rahul Sharma *Institute of Molecular Medicine, Jamia Hamdard, New Delhi, 110062, India.
Vikrant Singh Rajput *School of Biotechnology, Jawaharlal Nehru University, New Delhi, 110067, India.
Salma JamalInstitute of Molecular Medicine, Jamia Hamdard, New Delhi, 110062, India. salmajamal@jamiahamdard.ac.in.
Abhinav GroverSchool of Biotechnology, Jawaharlal Nehru University, New Delhi, 110067, India. agrover@jnu.ac.in.
Sonam GroverInstitute of Molecular Medicine, Jamia Hamdard, New Delhi, 110062, India. sonamgbt@gmail.com.
Institute of Molecular Medicine · INJawaharlal Nehru University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis is one the oldest known affliction of mankind caused by the pathogen Mycobacterium tuberculosis. Till date, there is no absolute single treatment available to deal with the pathogen, which has acquired a great potential to develop drug resistance rapidly. BCG is the only anti-tuberculosis vaccine available till date which displays limited global efficacy due to genetic variation and concurrent pathogen infections. Extracellular vesicles or exosomes vesicle (EVs) lie at the frontier cellular talk between pathogen and the host, and therefore play a significant role in establishing pathogenesis. In the present study, an in-silico approach has been adopted to construct a multi-epitope vaccine from selected immunogenic EVs proteins to elicit a cellular as well as a humoral immune response. Our designed vaccine has wide population coverage and can effectively compensate for the genetic variation among different populations. For maximum efficacy and minimum adverse effects possibilities the antigenic, non-allergenic and non-toxic B-cell, HTL and CTL epitopes from experimentally proven EVs proteins were selected for the vaccine construct. TLR4 agonist RpfE served as an adjuvant for the vaccine construct. The vaccine construct structure was modelled, refined and docked on TLR4 immune receptor. The designed vaccine construct displayed safe usage and exhibits a high probability to elicit the critical immune regulators, like B cells, T-cells and memory cells as displayed by the in-silico immunization assays. Therefore, it can be further corroborated using in vitro and in vivo assays to fulfil the global need for a more efficacious anti-tuberculosis vaccine.

Indexed as

Computational BiologyEpitopes, B-LymphocyteEpitopes, T-LymphocyteExosomesHumansMolecular Docking SimulationMycobacterium tuberculosisTuberculosisTuberculosis VaccinesVaccines, SubunitEpitopes, B-LymphocyteEpitopes, T-LymphocyteTuberculosis VaccinesVaccines, Subunit

Identifiers

PMID34226593
PMCPMC8257786
OpenAlexW3182271945

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.