Systemic lupus erythematosus (SLE) is a systemic autoimmune disease with abnormal activation of B lymphocytes, which may result in many adverse consequences and even death if not treated actively. Due to the poor therapeutic efficacy and prominent adverse reactions after long-term use of glucocorticoid combined immunosuppressants, the development of targeted drug use for SLE has become a hot area of research for several years. Telitacicept, approved conditionally in China in March 2021, is a biologic agent targeting B lymphocyte stimulator (BLyS）and a proliferating inducing ligand (APRIL) dually for patients with active SLE patients who have not responded to conventional treatment. As another important part of targeted drug use, the research on biomarkers predictive of drug response is also in full swing in the treatment of SLE. The omics technology has unique advantages in screening biomarkers and exploring the mechanism of drug action. The integrated analysis of multi omics can mutually verify and supplement the screening results of a single omics, so as to more systematically and comprehensively analyze the biological molecular functions and regulatory mechanisms. Therefore, this topic selects serum proteomics combined with metabolomics to screen biomarkers for the prediction of the efficacy of Telitacicept, and to explore the mechanism of the difference in the efficacy of Telitacicept, with a view to providing meaningful reference for the exploration of SLE precise treatment.
Systemic lupus erythematosus (SLE) is a systemic autoimmune disease with abnormal activation of B lymphocytes, which may result in many adverse consequences and even death if not treated actively. Telitacicept, approved conditionally in China in March 2021, is a biologic agent targeting B lymphocyte stimulator (BLyS）and a proliferating inducing ligand (APRIL) dually for patients with active SLE patients who have not responded to conventional treatment. The investigators hope to screen predictive biomarkers of efficacy and explore the mechanism of difference in efficacy of Telitacicept with Chinese characteristics by omics.