Systems Biology Approaches for Autoimmune Diseases

Autoimmune diseases are complicated conditions defined by immune system dysregulation, which leads to abnormal immunological reactions to self-antigens. A systems biology approach is needed to fully understand the underlying processes and interactions between the many immune system components. The importance of each of the four genomics disciplines, namely, genomics, transcriptomics, proteomics, and metabolomics provided a new path to the study of autoimmune diseases. The integration of data from different omics disciplines is a necessary step toward developing a thorough understanding of autoimmune diseases. New developments in autoimmune disease systems biology methods such as the use of single-cell technologies, the function of systems biology in individualized treatment for autoimmune disorders, the use of machine learning techniques, the blending of multi-omics data, and the use of computational/in silico modeling made it possible to modify the treatment possibilities. This review describes systems biology and provides the function and significance of systems biology in the understanding of autoimmune diseases.