Molecular mimicry and autoimmunity in the time of COVID-19

Manuel Rojas, María Herrán, Carolina Ramírez-Santana, Patrick S.C. Leung, Juan Manuel Anaya, William M. Ridgway, M. Eric Gershwin

Research output: Contribution to journalReview articlepeer-review

17 Scopus citations

Abstract

Infectious diseases are commonly implicated as potential initiators of autoimmune diseases (ADs) and represent the most commonly known factor in the development of autoimmunity in susceptible individuals. Epidemiological data and animal studies on multiple ADs suggest that molecular mimicry is one of the likely mechanisms for the loss of peripheral tolerance and the development of clinical disease. Besides molecular mimicry, other mechanisms such as defects in central tolerance, nonspecific bystander activation, epitope-determinant spreading, and/or constant antigenic stimuli, may also contribute for breach of tolerance and to the development of ADs. Linear peptide homology is not the only mechanism by which molecular mimicry is established. Peptide modeling (i.e., 3D structure), molecular docking analyses, and affinity estimation for HLAs are emerging as critical strategies when studying the links of molecular mimicry in the development of autoimmunity. In the current pandemic, several reports have confirmed an influence of SARS-CoV-2 on subsequent autoimmunity. Bioinformatic and experimental evidence support the potential role of molecular mimicry. Peptide dimensional analysis requires more research and will be increasingly important for designing and distributing vaccines and better understanding the role of environmental factors related to autoimmunity.

Original languageEnglish (US)
Article number103070
Pages (from-to)1-19
Number of pages19
JournalJournal of Autoimmunity
Volume139
DOIs
StatePublished - Sep 2023

All Science Journal Classification (ASJC) codes

  • Immunology and Allergy
  • Immunology

Fingerprint

Dive into the research topics of 'Molecular mimicry and autoimmunity in the time of COVID-19'. Together they form a unique fingerprint.

Cite this