Evidence map›Paper›PMID 35891400›Full record

ArticleViruses2022

Potential Autoimmunity Resulting from Molecular Mimicry between SARS-CoV-2 Spike and Human Proteins.

Janelle Nunez-Castilla, Vitalii Stebliankin, Prabin Baral, Christian A Balbin, Masrur Sobhan, Trevor Cickovski, Ananda Mohan Mondal, Giri Narasimhan, Prem Chapagain, Kalai Mathee and 1 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
17.0field-weighted citation impact, top 1% 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

54 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Janelle Nunez-CastillaDepartment of Biological Sciences, College of Arts, Sciences and Education, Florida International University, 11200 SW 8th St, Miami, FL 33199, USA.ORCID 0000-0002-3608-4512
Vitalii StebliankinBioinformatics Research Group (BioRG), Knight Foundation School of Computing and Information Sciences, Florida International University, 11200 SW 8th St, Miami, FL 33199, USA.
Prabin BaralDepartment of Physics, College of Arts, Sciences and Education, Florida International University, 11200 SW 8th St, Miami, FL 33199, USA.
Christian A BalbinDepartment of Biological Sciences, College of Arts, Sciences and Education, Florida International University, 11200 SW 8th St, Miami, FL 33199, USA.
Masrur SobhanMachine Learning and Data Analytics Group (MLDAG), Knight Foundation School of Computing and Information Sciences, Florida International University, 11200 SW 8th St, Miami, FL 33199, USA.ORCID 0000-0002-1515-4366
Trevor CickovskiBioinformatics Research Group (BioRG), Knight Foundation School of Computing and Information Sciences, Florida International University, 11200 SW 8th St, Miami, FL 33199, USA.
Ananda Mohan MondalBioinformatics Research Group (BioRG), Knight Foundation School of Computing and Information Sciences, Florida International University, 11200 SW 8th St, Miami, FL 33199, USA.
Giri NarasimhanBioinformatics Research Group (BioRG), Knight Foundation School of Computing and Information Sciences, Florida International University, 11200 SW 8th St, Miami, FL 33199, USA.
Prem ChapagainDepartment of Physics, College of Arts, Sciences and Education, Florida International University, 11200 SW 8th St, Miami, FL 33199, USA.ORCID 0000-0002-0999-4975
Kalai MatheeBiomolecular Sciences Institute, Florida International University, 11200 SW 8th St, Miami, FL 33199, USA.
Jessica Siltberg-LiberlesDepartment of Biological Sciences, College of Arts, Sciences and Education, Florida International University, 11200 SW 8th St, Miami, FL 33199, USA.ORCID 0000-0001-7927-2428
Florida International University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular mimicry between viral antigens and host proteins can produce cross-reacting antibodies leading to autoimmunity. The coronavirus SARS-CoV-2 causes COVID-19, a disease curiously resulting in varied symptoms and outcomes, ranging from asymptomatic to fatal. Autoimmunity due to cross-reacting antibodies resulting from molecular mimicry between viral antigens and host proteins may provide an explanation. Thus, we computationally investigated molecular mimicry between SARS-CoV-2 Spike and known epitopes. We discovered molecular mimicry hotspots in Spike and highlight two examples with tentative high autoimmune potential and implications for understanding COVID-19 complications. We show that a TQLPP motif in Spike and thrombopoietin shares similar antibody binding properties. Antibodies cross-reacting with thrombopoietin may induce thrombocytopenia, a condition observed in COVID-19 patients. Another motif, ELDKY, is shared in multiple human proteins, such as PRKG1 involved in platelet activation and calcium regulation, and tropomyosin, which is linked to cardiac disease. Antibodies cross-reacting with PRKG1 and tropomyosin may cause known COVID-19 complications such as blood-clotting disorders and cardiac disease, respectively. Our findings illuminate COVID-19 pathogenesis and highlight the importance of considering autoimmune potential when developing therapeutic interventions to reduce adverse reactions.

Indexed as

COVID-19Heart DiseasesAntibodies, ViralAntigens, ViralAutoimmunityHumansMolecular MimicrySARS-CoV-2Spike Glycoprotein, CoronavirusThrombopoietinTropomyosinAntibodies, ViralAntigens, ViralSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2ThrombopoietinTropomyosinAlphaFold2coronavirusCOVID-19 complicationsmachine learningmolecular dynamicsomicronprotein structure comparisontropomyosinvaccine designvariant

Identifiers

PMID35891400
PMCPMC9318917
OpenAlexW4288205422

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.