Abstract

Systemic lupus erythematosus are all involved autoimmune illnesses with similar clinical, genetic and pathogenic characteristics. However, it is still uncertain what characteristics these disorder’s deoxyribonucleic acid methylation patterns have in common. To determine the typical methylation patterns of autoimmune illnesses, we undertook to analyze the methylation data for numerous inflammatory disorders in a unified manner, which included samples from systemic lupus erythematosus. In clusters of differentiation 4⁺ T cells, we discovered 15 289 locations that were differently methylated in patients with various autoimmune diseases compared to controls in medical imaging. In addition to this, the artificial intelligence plays a greater role in predicting the model of therapeutic effect of systemic lupus erythematosus. We determined that genes involved in the type I interferon pathway were significantly enriched at the regions that displayed the most substantial differential methylation. Interferon-induced protein 44-like is another interferon-related gene, but it is not annotated by gene ontology. The results showed that clusters of differentiation 4⁺ T cells from systemic lupus erythematosus patients often had hypo methylation of interferon-related genes; moreover interferon-related gene deoxyribonucleic acid methylation patterns may be useful diagnostic indicators for systemic lupus erythematosus.