Screening Biomarkers for Severe Lupus Based on Multi-omics Studies

In order to achieve accurate diagnosis and treatment of the disease, we performed RNA sequencing and ATAC(Assay for Transposase Accessible Chromatin) chromatin open sequencing in lupus patients in the early stage. By comparing with normal controls, other rheumatic immune diseases (rheumatoid arthritis), and before and after treatment, dozens of disease-causing genes independently associated with the disease were identified. Based on the previous omics results, this project will analyze its changes in different outcomes of lupus patients, and use machine learning methods to establish an optimal severe prediction model, so as to build an early diagnosis system based on novel biomarkers and reduce all-cause mortality in patients with treatment failure rate. It is expected to produce good social and economic benefits.