Abstract

During recent years, researchers have been focusing on the concept of an infectious etiology of autoimmune diseases. The most discussed theory is molecular mimicry, i.e. the emergence of autoreactive clones of T- and B-lymphocytes as a result of cross-immune response to homologous bacterial or viral antigen. Information on the role of probiotic microorganisms (PM) in the molecular mechanisms of autoimmune thyroid diseases (ATD) is limited. Using proteins and immunogenic peptides databanks and relevant computer programs, the homology between the amino acid sequences of thyroid peroxidase (TPO) and thyroglobulin (Tg), which are potential B- and T-cell epitopes of these antigens, and proteins of bifidobacteria and lactobacilli was established. Moreover, we have found components of cells of Bifidobacterium bifidum 791, Bifidobacterium adolescentis 94 BIM, Bifidobacterium longum B379M and Lactobacillus plantarum B-01 that selectively bind human antibodies to TPO (anti-TPO) and antibodies to Tg (anti-Tg) and compete with natural antigens for the binding of anti-TPO and anti-Tg in ELISA. Additionally, a three-fold difference was observed between the probability of detecting antibodies (Abs) to the antigens of L. plantarum B-01 and B. bifidum 791 in serum samples containing and those not containing anti-TPO. On the whole, our data are arguments in favour of the assumption of the possible role of PM of the genera Bifidobacterium and Lactobacillus in triggering ATD by the mechanism of molecular mimicry. The data obtained in silico and in vitro should be proven by use of animal models and clinical studies for extrapolations to the whole body. Possible antigenic properties of components/proteins of bifidobacteria and lactobacilli, selectively binding anti-TPO and anti-Tg should be taken into consideration. Natural human Abs to these bacterial components are probably able to cross-react with the TPO and Tg in the ELISA for detection of anti-TPO and anti-Tg, which are serologic markers of ATD. It can lead to unspecific false positive results and, hence, to an incorrect diagnosis.

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