Similarity to Self-Antigens Shapes Epitope Recognition from Viruses Under Autoimmune and Infectious Disease

Self/non-self-discrimination is a fundamental aspect of adaptive immunity, which helps prevent harmful autoimmune responses. However, infectious agents can also act as environmental catalysts for autoimmune diseases. In this study, we investigated the role of molecular mimicry to self-antigens in epitope recognition in relation to infectious and autoimmune diseases. To this end, we performed BLAST searches against the human proteome, utilizing known virus-specific B and T cell peptide epitopes identified in association with autoimmune or infectious diseases in humans as our queries. Additionally, similar control analyses were carried out using non-B and non-T cell epitopes, consisting of random viral peptide sequences. Overall, our results endorsed a major role of molecular mimicry in instigating or sustaining autoimmunity associated with viral infections and challenged the prevailing view on self/non-self-discrimination for T cells. Additionally, we uncovered many virus-specific epitopes among those identified in association with infectious diseases with high similarity to self-antigens, which are primarily derived from human coronaviruses and various flaviviruses. Recognition of these epitopes could lead to autoimmunity against human proteins that are in cellular components concerning cell motility, cell membrane projections, and cellular synapses.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-06-24
DOI
https://doi.org/10.3390/ijms26136041
Citations
2
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
1.61

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article

Similarity to Self-Antigens Shapes Epitope Recognition from Viruses Under Autoimmune and Infectious Disease

Pedro Antonio Reche, Alvaro Ras-Carmona, Alexander A. Lehmann
2 citations
International Journal of Molecular Sciences
vaccines and immunoinformatics approaches
1.61
article

Similarity to Self-Antigens Shapes Epitope Recognition from Viruses Under Autoimmune and Infectious Disease

Pedro Antonio Reche, Alvaro Ras-Carmona, Alexander A. Lehmann
article en
2 citations

Abstract

Self/non-self-discrimination is a fundamental aspect of adaptive immunity, which helps prevent harmful autoimmune responses. However, infectious agents can also act as environmental catalysts for autoimmune diseases. In this study, we investigated the role of molecular mimicry to self-antigens in epitope recognition in relation to infectious and autoimmune diseases. To this end, we performed BLAST searches against the human proteome, utilizing known virus-specific B and T cell peptide epitopes identified in association with autoimmune or infectious diseases in humans as our queries. Additionally, similar control analyses were carried out using non-B and non-T cell epitopes, consisting of random viral peptide sequences. Overall, our results endorsed a major role of molecular mimicry in instigating or sustaining autoimmunity associated with viral infections and challenged the prevailing view on self/non-self-discrimination for T cells. Additionally, we uncovered many virus-specific epitopes among those identified in association with infectious diseases with high similarity to self-antigens, which are primarily derived from human coronaviruses and various flaviviruses. Recognition of these epitopes could lead to autoimmunity against human proteins that are in cellular components concerning cell motility, cell membrane projections, and cellular synapses.

International Journal of Molecular SciencesVol. 26(13)
Universidad Complutense de Madrid (ES)
Universidad Complutense de Madrid, Ministerio de Ciencia e Innovación
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 16%
vaccines and immunoinformatics approaches
1.61
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Similarity to Self-Antigens Shapes Epitope Recognition from Viruses Under Autoimmune and Infectious Disease — Pedro Antonio Reche, Alvaro Ras-Carmona, et al. · International Journal of Molecular Sciences (2025) | TGRS Research Map | TGRS