Analysis of the relationship between proteins of microorganisms and MS disease by bioinformatics methods release_gjf535fh5rfd5burq2iyuutaaa

by Ali Bigdeli, Seyed Shahriar Arab, Mehrdad Behmanesh

Released as a post by Research Square Platform LLC.

2022  

Abstract

<jats:title>Abstract</jats:title> Multiple Sclerosis (MS) is an autoimmune disease that is caused by the invasion and destruction of the myelin sheath in the human nervous system. Several studies have shown that there is a powerful link between infectious agents such as bacteria and viruses, with the development or severity of MS disease. With regards to the normal duty of the immune system, we hypothesize that this attack can be caused by sensitizing the immune system to an antigen/s containing resemble myelin sheath components. This study is tried to use bioinformatics and its related tools as a new approach to finding the possible resemble protein amino acid sequences or 3D structures in different microorganisms with human myelin basic protein as a main protein component of myelin sheath human nerve system. Based on the limitations of the proteins 3D structures prediction, the study was categorized in two ways: 1. Simultaneous study and analysis of protein structure and sequence 2. Study exclusively through Sequence similarities between proteins. The similarity of the sequence in several analysis suggests that the presence of these microorganisms or their entry into the body increases the risk of MS. The results indicated the presence of species of fungi is highly capable of infecting immune cells associated with MS. The sequence similarity in the bacterial structures, specifically in the intestinal flora, indicates the class of bacteria that intercede the metabolism of the human body and promote natural activities. Their imbalance increases the possibility of the immune system activating against the body itself.
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Date   2022-04-13
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