基于计算机的博氏疏螺旋体抗原表位预测用于特异性抗体的检测。

In silico epitope prediction of Borrelia burgdorferi sensu lato antigens for the detection of specific antibodies.

机构信息

Department of Molecular Biotechnology and Microbiology, Faculty of Chemistry, Gdańsk University of Technology, Gdańsk, Poland.

出版信息

J Immunol Methods. 2024 Jan;524:113596. doi: 10.1016/j.jim.2023.113596. Epub 2023 Dec 7.

DOI:10.1016/j.jim.2023.113596

PMID:38070727

Abstract

Despite many years of research, serodiagnosis of Lyme disease still faces many obstacles. Difficulties arise mainly due to the low degree of amino acid sequence conservation of the most immunogenic antigens among B. burgdorferi s.l. genospecies, as well as differences in protein production depending on the environment in which the spirochete is located. Mapping B-cell epitopes located on antigens allows for a better understanding of antibody-pathogen interactions which is essential for the development of new and more effective diagnostic tools. In this study, in silico B-cell epitope mapping was performed to determine the theoretical diagnostic potential of selected B. burgdorferi s.l. proteins (BB0108, BB0126, BB0298, BB0689, BB0323, FliL, PstS, SecD, EF-Tu). Bioinformatics software predicted 35 conserved linear and 31 conformational epitopes with the degree of identity among B. burgdorferi s.l. of at least 85%, which may prove to be useful in the development of a new tool for the diagnosis of Lyme disease.

摘要

尽管经过多年的研究，莱姆病的血清诊断仍然面临许多障碍。这些困难主要源于伯氏疏螺旋体属种间最具免疫原性的抗原的氨基酸序列保守程度低，以及螺旋体所处环境对蛋白产生的差异。对位于抗原上的 B 细胞表位进行定位，可以更好地了解抗体-病原体相互作用，这对于开发新的、更有效的诊断工具至关重要。在这项研究中，通过计算机进行了 B 细胞表位定位，以确定选定的伯氏疏螺旋体属种（BB0108、BB0126、BB0298、BB0689、BB0323、FliL、PstS、SecD、EF-Tu）蛋白的理论诊断潜力。生物信息学软件预测了 35 个保守的线性和 31 个构象表位，这些表位在伯氏疏螺旋体属种间的同源性至少为 85%，这可能有助于开发新的莱姆病诊断工具。