Evidence map›Paper›PMID 37148345›Full record

ArticleBiotechnology letters2023

Multi-pathogen based chimeric vaccine to fight against COVID-19 and concomitant coinfections.

Rupal Ojha, Satyendra Singh, Nidhi Gupta, Ketan Kumar, Aditya K Padhi, Vijay Kumar Prajapati

Open access · bronzeAbstract read
In one paragraph

Article in Biotechnology letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

6 authors at 3 institutions in 1 country.

Rupal OjhaDepartment of Biochemistry, School of Life Sciences, Central University of Rajasthan, NH-8, Bandarsindri, Ajmer, Kishangarh, 305817, Rajasthan, India.
Satyendra SinghDepartment of Biochemistry, School of Life Sciences, Central University of Rajasthan, NH-8, Bandarsindri, Ajmer, Kishangarh, 305817, Rajasthan, India.
Nidhi GuptaDepartment of Biochemistry, School of Life Sciences, Central University of Rajasthan, NH-8, Bandarsindri, Ajmer, Kishangarh, 305817, Rajasthan, India.
Ketan KumarDepartment of Biochemistry, School of Life Sciences, Central University of Rajasthan, NH-8, Bandarsindri, Ajmer, Kishangarh, 305817, Rajasthan, India.
Aditya K PadhiLaboratory for Computational Biology & Biomolecular Design, School of Biochemical Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi, 221005, Uttar Pradesh, India.
Vijay Kumar PrajapatiDepartment of Biochemistry, School of Life Sciences, Central University of Rajasthan, NH-8, Bandarsindri, Ajmer, Kishangarh, 305817, Rajasthan, India. vijay84bhu@gmail.com.ORCID http://orcid.org/0000-0001-6510-0596
Central University of Rajasthan · INCentral University of Punjab · INIndian Institute of Technology BHU · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 has proved to be a fatal disease of the year 2020, due to which thousands of people globally have lost their lives, and still, the infection cases are at a high rate. Experimental studies suggested that SARS-CoV-2 interacts with various microorganisms, and this coinfection is accountable for the augmentation of infection severity. METHODS AND

resultsIn this study, we have designed a multi-pathogen vaccine by involving the immunogenic proteins from S. pneumonia, H. influenza, and M. tuberculosis, as they are dominantly associated with SARS-CoV-2. A total of 8 antigenic protein sequences were selected to predict B-cell, HTL, and CTL epitopes restricted to the most prevalent HLA alleles. The selected epitopes were antigenic, non-allergenic, and non-toxic and were linked with adjuvant and linkers to make the vaccine protein more immunogenic, stable, and flexible. The tertiary structure, Ramachandran plot, and discontinuous B-cell epitopes were predicted. Docking and MD simulation study has shown efficient binding of the chimeric vaccine with the TLR4 receptor.

conclusionThe in silico immune simulation analysis has shown a high level of cytokines and IgG after a three-dose injection. Hence, this strategy could be a better way to decrease the disease's severity and could be used as a weapon to prevent this pandemic.

Indexed as

CoinfectionCOVID-19Viral VaccinesComputational BiologyCOVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteHumansMolecular Docking SimulationSARS-CoV-2Vaccines, SubunitCOVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteVaccines, SubunitViral VaccinesAdjuvantCo-infectionCOVID-19Immune responseMultiepitope vaccineMulti-pathogen

Identifiers

PMID37148345
PMCPMC10163573
OpenAlexW4372352919

What OpenQuestion holds

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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.