Molecular mimic between cardiovascular diseases and microorganism antigens

Abstract

Cardiovascular diseases are the result of genetic and environmental interaction that conditions the integrity of the heart and blood vessels. Risk factors include infections. The inflammatory response against the infectious agent is a trigger of autoimmune cardiovascular diseases due to the similarity between the pathogen proteins and human antigens, since the immune response can present cross-reactivity caused by molecular mimicry. We performed a search for pathogens involved in autoimmune heart diseases and autoantigens 9 associated with these diseases in the Pubmed and Google Scholar search engines. Identity between proteins was performed through global alignments using PSI-BLAST. The 3D structures of the proteins were obtained by Uniprot or NCBI and, if not found, the structure was modeled by homology using the Swiss Model server. Epitope prediction was performed through Ellipro and the Immunological Epitope Database (IEDB). In addition, the PYMOL program was used to visualize proteins in 3D and position the epitopes in the structure. A total of ten cardiovascular proteins showed identity (30-88,24%) in their amino acid sequences with antigens from 10 pathogens. Actin proteins and heat shock protein (HSP) families had higher levels of identity with Trypanosoma Cruzi, Cryptococcus neoformans, and Chlamydia trachomatis, 71,47%, 88,24%, and 80,61%, respectively. Other pathogens, such as Streptococcus pyogenes, Bacillus sp, Magnetospirillum gryphiswaldense, Helicobacter pylori and Chlamydia pneumoniae, presented a moderate identity with a maximum value of 65,79%. Human actin and HSPs share a high degree of conservation with epitopes from various microorganisms, such as bacteria, fungi and protozoa, suggesting molecular mimicry and cross-reactivity as a mechanism for the development of atherosclerosis, heart disease rheumatic disease, myocarditis and Chagas heart disease. In vitro and in vivo work is needed to demonstrate the results obtained in the In Silico analysis.