Evidence map›Paper›PMID 35341005›Full record

ArticleComputational and mathematical methods in medicine2022

Computational Modeling of T Cell Hypersensitivity during Coronavirus Infections Leading to Autoimmunity and Lethality.

Alper Tunga Celebi, Goksu Uzel, Ece Oylumlu, Cengiz Baykasoglu, Ata Mugan, Sophie Joly, Ceren Ciraci

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 54% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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.

Alper Tunga CelebiVienna University of Technology, Institute of Applied Physics, Wiedner Hauptstrasse 8-10/E134, 1040 Vienna, Austria.ORCID https://orcid.org/0000-0001-7727-194X
Goksu UzelIstanbul Technical University, College of Science and Letters, Molecular Biology and Genetics Department, Istanbul Technical University, Istanbul 34469, Turkey.ORCID https://orcid.org/0000-0002-2718-6197
Ece OylumluIstanbul Technical University, College of Science and Letters, Molecular Biology and Genetics Department, Istanbul Technical University, Istanbul 34469, Turkey.ORCID https://orcid.org/0000-0003-4234-9086
Cengiz BaykasogluFaculty of Engineering Mechanical Engineering Department, Hitit University, 19030 Çorum, Turkey.ORCID https://orcid.org/0000-0001-7583-7655
Ata MuganFaculty of Mechanical Engineering, Mechanical Engineering Department, Istanbul Technical University, 34437 Istanbul, TR, Turkey.ORCID https://orcid.org/0000-0002-5293-7562
Sophie JolyBiology Department, Kirkwood Community College, Cedar Rapids 52404, USA.ORCID https://orcid.org/0000-0001-5777-0389
Ceren CiraciIstanbul Technical University, College of Science and Letters, Molecular Biology and Genetics Department, Istanbul Technical University, Istanbul 34469, Turkey.ORCID https://orcid.org/0000-0003-2162-0930
Istanbul Technical University · TRHitit Üniversitesi · TRKirkwood Community College · USTU Wien · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human angiotensin-converting enzyme 2 (hACE2) receptor is the primary receptor for SARS-CoV-2 infection. However, the presence of alternative receptors such as the transmembrane glycoprotein CD147 has been proposed as a potential route for SARS-CoV-2 infection. The outcomes of SARS-CoV-2 spike protein binding to receptors have been shown to vary among individuals. Additionally, some patients infected with SARS-CoV-2 develop autoimmune responses. Given that CD147 is involved in the hyperactivation of memory T cells resulting in autoimmunity, we investigated the interaction of the SARS-CoV-2 viral spike protein with CD147 receptor and retinal specific CD147 Ig0 domain in silico using molecular docking and molecular dynamics (MD) simulations. The results indicated that binding involves two critical residues Lys63 and Asp65 in a ubiquitous CD147 isoform, potentially leading to the hyperactivation of T cells for only SARS-CoV-2, but not for SARS-CoV or MERS-CoV. Overall binding was confirmed by docking simulations. Next, MD analyses were completed to verify the docking poses. Polar interactions suggested that the interaction via Lys63 and Asp65 might be one of the determinants associated with severe COVID-19 outcomes. Neither did SARS-CoV nor MERS-CoV bind to these two critical residues when molecular docking analyses were performed. Interestingly, SARS-CoV was able to bind to CD147 with a lower affinity (-4.5 kcal/mol) than SARS-CoV-2 (-5.6 kcal/mol). Furthermore, Delta and Omicron variants of SARS-CoV-2 did not affect the polar interactions with Lys63 and Asp65 in CD147. This study further strengthens the link between SARS-CoV-2 infection and autoimmune responses and provides novel insights for prudent antiviral drug designs for COVID-19 treatment that have implications in the prevention of T cell hyperactivation.

Indexed as

Coronavirus InfectionsCOVID-19 Drug TreatmentAutoimmunityHumansMolecular Docking SimulationPeptidyl-Dipeptidase ASARS-CoV-2Spike Glycoprotein, CoronavirusT-LymphocytesPeptidyl-Dipeptidase ASpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID35341005
PMCPMC8948601
OpenAlexW4220915870

What OpenQuestion holds

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LicenceCC BY
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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.