Unveiling biomarkers of telitacicept's efficacy in SLE treatment through proteomics and metabolomics
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Updated: Mar 21, 2026

A High Throughput, Multiplexed and Targeted Proteomic CSF Assay to Quantify Neurodegenerative Biomarkers and Apolipoprotein E Isoforms Status
Published on: October 20, 2016
Huiyu Nie1,2, Siyuan Chang1,2, Hanhan Chen1,2
1Department of Rheumatology and Immunology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Background:
The pathogenesis of systemic lupus erythematosus (SLE) is closely associated with abnormal activation of B lymphocytes. Telitacicept simultaneously blocks B-cell stimulating factors and proliferation-inducing ligands, thereby inhibiting B-cell proliferation and differentiation, demonstrating favorable therapeutic efficacy in the majority of SLE patients. However, there is a lack of reliable biomarkers of efficacy and systematic elucidation of its mechanism of action.
Methods:
The study employed proteomics and metabolomics analysis to explore biomarkers and mechanisms underlying therapeutic response variability to Telitacicept in SLE patients. Twenty-five SLE patients were enrolled and divided into the responder group and non-responder group based on the SLE Response Index 4 to identify key proteins, metabolites, and mechanisms associated with treatment response.
Results:
Proteomics results revealed XPNPEP3, SRSF5, SRSF6, WARS1, IDH1, and ITLN1 as protein biomarkers correlated with Telitacicept efficacy in SLE patients. Metabolomics results indicated that pyruvate was a potential metabolic biomarker for responder group, while gamma-aminobutyric acid (GABA) was a potential biomarker for non-responder group. The combined analysis revealed that both pyruvate and IDH1 participate in the citric acid cycle. GABA showed a negative correlation with XPNPEP3.
Conclusions:
The above results reveal biomarkers related to the differential efficacy of Telitacicept in treating SLE patients and potential mechanisms underlying these differences, which may provide a reference for personalized treatment and mechanistic research in SLE.
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