Title: A bioinformatics approach to solving the puzzle of autoimmune diseases
Authors: Durbadal Chatterjee; Jyoti Parkash; Arti Sharma
Addresses: Department of Computational Sciences, Central University of Punjab, Bathinda, 151401, India ' Department of Zoology, Central University of Punjab, Bathinda, 151401, India ' Department of Computational Sciences, Central University of Punjab, Bathinda, 151401, India
Abstract: Autoimmune diseases are conditions in which the body attacks its own cells. In our study, we have taken eight autoimmune diseases, which are Addison's disease, Graves' disease, Hashimoto's thyroiditis, myasthenia gravis, psoriatic arthritis, pernicious anaemia, systematic lupus erythematosus and vasculitis. The pathways associated with these diseases are yet to be found. The underlying genes associated with each disease were predicted from the NCBI database. The mutual genes among these diseases have been identified. The digital gene expression of each gene has been anticipated. There are 668 genes associated with these eight diseases, and PTPN22 is identified as a mutual gene among seven out of the eight diseases. Most genes are involved in pathways related to the immune system, signal transduction and metabolism. All genes are expressed in the normal body condition, but in the case of disease, some genes are silenced, some show expression level changes in the diseased phenotypes and some genes have shown mutations but no expression change is reported, which leaves a question for further research.
Keywords: autoimmune diseases; digital expression; Addison's disease; Graves' disease; Hashimoto's thyroididtis; myasthenia gravis; psoriatic arthritis; pernicious anaemia; systematic lupus erthyematosus; vasculitis.
DOI: 10.1504/IJBRA.2022.128245
International Journal of Bioinformatics Research and Applications, 2022 Vol.18 No.5, pp.415 - 459
Received: 15 Mar 2022
Accepted: 02 Jul 2022
Published online: 12 Jan 2023 *