Evidence mapPaperPMID 32703184Full record

ArticleBMC molecular and cell biology2020

Polyvalent therapeutic vaccine for type 2 diabetes mellitus: Immunoinformatics approach to study co-stimulation of cytokines and GLUT1 receptors.

Syed Aun Muhammad, Hiba Ashfaq, Sidra Zafar, Fahad Munir, Muhammad Babar Jamshed, Jake Chen, Qiyu Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC molecular and cell biology, 2020. 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
0.1field-weighted citation impact, top 55% 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, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Exploring the Frontiers of Diabetes Vaccination.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

7 authors at 4 institutions in 3 countries.

Syed Aun MuhammadInstitute of Molecular Biology and Biotechnology, Bahauddin Zakariya University Multan, Multan, Pakistan. aunmuhammad78@yahoo.com.
Hiba AshfaqInstitute of Molecular Biology and Biotechnology, Bahauddin Zakariya University Multan, Multan, Pakistan.
Sidra ZafarInstitute of Molecular Biology and Biotechnology, Bahauddin Zakariya University Multan, Multan, Pakistan.
Fahad MunirThe First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China.
Muhammad Babar JamshedSchool of Pharmaceutical Sciences of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China.
Jake ChenInformatics Institute, School of Medicine, The University of Alabama at Birmingham, Birmingham, AL, USA.
Qiyu ZhangDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People's Republic of China. qiyuz@126.com.
Bahauddin Zakariya University · PKWenzhou Medical University · CNFirst Affiliated Hospital of Wenzhou Medical University · CNUniversity of Alabama at Birmingham · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) is a worldwide disease that have an impact on individuals of all ages causing micro and macro vascular impairments due to hyperglycemic internal environment. For ultimate treatment to cure T2DM, association of diabetes with immune components provides a strong basis for immunotherapies and vaccines developments that could stimulate the immune cells to minimize the insulin resistance and initiate gluconeogenesis through an insulin independent route. METHODOLOGY: Immunoinformatics based approach was used to design a polyvalent vaccine for T2DM that involved data accession, antigenicity analysis, T-cell epitopes prediction, conservation and proteasomal evaluation, functional annotation, interactomic and in silico binding affinity analysis.

resultsWe found the binding affinity of antigenic peptides with major histocompatibility complex (MHC) Class-I molecules for immune activation to control T2DM. We found 13-epitopes of 9 amino acid residues for multiple alleles of MHC class-I bears significant binding affinity. The downstream signaling resulted by T-cell activation is directly regulated by the molecular weight, amino acid properties and affinity of these epitopes. Each epitope has important percentile rank with significant ANN IC

conclusionOur system-level immunoinformatics approach is suitable for designing potential polyvalent therapeutic vaccine candidates for T2DM by reducing hyperglycemia and enhancing metabolic activities through the immune system.

Indexed as

Amino Acid SequenceAntigensConserved SequenceCytokinesDiabetes Mellitus, Type 2Epitopes, T-LymphocyteGlucoseGlucose Transporter Type 1Histocompatibility Antigens Class IHumansLymphocyte ActivationMolecular Docking SimulationMolecular Sequence AnnotationProteasome Endopeptidase ComplexProtein Interaction MapsVaccines, CombinedAntigensCytokinesEpitopes, T-LymphocyteGlucoseGlucose Transporter Type 1Histocompatibility Antigens Class IProteasome Endopeptidase ComplexVaccines, Combined

Identifiers

PMID32703184
PMCPMC7376330
OpenAlexW3044733435

What Socratic holds

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LicenceCC BY
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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 Socratic graph.