Evidence map›Paper›PMID 38138047›Full record

ArticleMicroorganisms2023

Molecular Mimicry between SARS-CoV-2 Proteins and Human Self-Antigens Related with Autoimmune Central Nervous System (CNS) Disorders.

Elisa Gouvea Gutman, Renan Amphilophio Fernandes, Jéssica Vasques Raposo-Vedovi, Andreza Lemos Salvio, Larissa Araujo Duarte, Caio Faria Tardim, Vinicius Gabriel Coutinho Costa, Valéria Coelho Santa Rita Pereira, Paulo Roberto Valle Bahia, Marcos Martins da Silva and 2 more

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 11 citations in OpenAlex.

  1. Neurodegenerative and Cognitive Consequences of Long COVID.International journal of molecular sciences · 2026
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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

12 authors at 3 institutions in 1 country.

Elisa Gouvea GutmanTranslational Neuroscience Laboratory (LabNet), Biomedical Institute, Federal University of the State of Rio de Janeiro, Rio de Janeiro 20211-030, RJ, Brazil.ORCID 0000-0003-1060-1419
Renan Amphilophio FernandesTranslational Neuroscience Laboratory (LabNet), Biomedical Institute, Federal University of the State of Rio de Janeiro, Rio de Janeiro 20211-030, RJ, Brazil.ORCID 0000-0003-2505-039X
Jéssica Vasques Raposo-VedoviTranslational Neuroscience Laboratory (LabNet), Biomedical Institute, Federal University of the State of Rio de Janeiro, Rio de Janeiro 20211-030, RJ, Brazil.
Andreza Lemos SalvioTranslational Neuroscience Laboratory (LabNet), Biomedical Institute, Federal University of the State of Rio de Janeiro, Rio de Janeiro 20211-030, RJ, Brazil.ORCID 0000-0002-9256-2582
Larissa Araujo DuarteTranslational Neuroscience Laboratory (LabNet), Biomedical Institute, Federal University of the State of Rio de Janeiro, Rio de Janeiro 20211-030, RJ, Brazil.
Caio Faria TardimDepartment of Neurology, Clementino Fraga Filho University Hospital, Federal University of Rio de Janeiro, Rio de Janeiro 21941-913, RJ, Brazil.
Vinicius Gabriel Coutinho CostaMorphological Sciences Post-Graduation Program, Federal University of Rio de Janeiro, Rio de Janeiro 21941-913, RJ, Brazil.
Valéria Coelho Santa Rita PereiraDepartment of Neurology, Clementino Fraga Filho University Hospital, Federal University of Rio de Janeiro, Rio de Janeiro 21941-913, RJ, Brazil.
Paulo Roberto Valle BahiaDepartment of Radiology, Clementino Fraga Filho University Hospital, Federal University of Rio de Janeiro, Rio de Janeiro 21941-913, RJ, Brazil.
Marcos Martins da SilvaDepartment of Neurology, Clementino Fraga Filho University Hospital, Federal University of Rio de Janeiro, Rio de Janeiro 21941-913, RJ, Brazil.ORCID 0000-0001-8701-2378
Fabrícia Lima Fontes-DantasDepartment of Pharmacology, Institute of Biology, Rio de Janeiro State University, Rio de Janeiro 20950-000, RJ, Brazil.ORCID 0000-0002-5201-0927
Soniza Vieira Alves-LeonTranslational Neuroscience Laboratory (LabNet), Biomedical Institute, Federal University of the State of Rio de Janeiro, Rio de Janeiro 20211-030, RJ, Brazil.ORCID 0000-0002-1538-6730
Universidade Federal do Rio de Janeiro · BRUniversidade Federal do Estado do Rio de Janeiro · BRUniversidade do Estado do Rio de Janeiro · BR

Funding

Financiadora de Estudos e Projetos (FINEP) NAFIOCRUZ Ministry of Health/INOVA Program VPPCB-005-FIO-20-2-56Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E26/2006.022/2022Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/200.733/2021Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/201.040/2021Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/201.406/2021Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E26/210.254/2020Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/210.273/2018Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/210.657/2021
6 · The paper itself

Abstract

SARS-CoV-2 can trigger autoimmune central nervous system (CNS) diseases in genetically susceptible individuals, a mechanism poorly understood. Molecular mimicry (MM) has been identified in other viral diseases as potential triggers of autoimmune CNS events. This study investigated if MM is the process through which SARS-CoV-2 induces the breakdown of immune tolerance. The frequency of autoimmune CNS disorders was evaluated in a prospective cohort with patients admitted to the COVID-19 Intense Care Unity (ICU) in Rio de Janeiro. Then, an in silico analysis was performed to identify the conserved regions that share a high identity between SARS-CoV-2 antigens and human proteins. The sequences with significant identity and antigenic properties were then assessed for their binding capacity to HLA subtypes. Of the 112 patients included, 3 were classified as having an autoimmune disorder. A total of eleven combinations had significant linear and three-dimensional overlap. NMDAR1, MOG, and MPO were the self-antigens with more significant combinations, followed by GAD65. All sequences presented at least one epitope with strong or intermediate binding capacity to the HLA subtypes selected. This study underscores the possibility that CNS autoimmune attacks observed in COVID-19 patients, including those in our population, could be driven by MM in genetically predisposed individuals.

Indexed as

autoimmune disorderscentral nervous systemCOVID-19immune tolerancemolecular mimicrySARS-CoV-2

Identifiers

PMID38138047
PMCPMC10745528
OpenAlexW4389237820

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.