An Advanced Humanized Systemic Lupus Erythematosus Model Enables Parallel Profiling of B Cell-Targeted Therapies
Zhu, R.; Ding, S.; Ren, D.; Liang, J.; Liu, S.; Fan, J.; Yu, S.; Zhang, Z.; Cheng, C.; Wang, K.; Chen, Y.; Hang, Y.; Shang, X.; Li, Y.; Sun, L.
Show abstract
B cell-targeted therapies represent a transformative frontier for systemic lupus erythematosus (SLE) intervention, yet clinical recommendation of specific treatment is hampered by the challenge to perform head-to-head comparisons of efficacy-toxicity trade-offs and tissue-specific impacts in patients. To address this gap, an advanced Toll-like receptor 7 (TLR7) agonist-induced SLE model is developed in a NCG-M (NOD-Prkdcem26Cd52Il2rgem26Cd22Rosa26em1Cin(hCSF2&IL3&KITLG)/Gpt) human immune system (HIS) mice. This model enables parallel evaluation of multiple B cell-directed therapies within a controlled cohort study. It recapitulates core SLE pathologies--including immune effector cell augmentation, autoantibody production and glomerulonephritis--within 2 months, demonstrating greater severity and clinical fidelity than conventional pristane-induced systems. Validated through replication of clinical responses to rituximab and belimumab, the platform directly compares two emerging modalities: universal chimeric antigen receptor-T cells (UCAR-T) elicits delayed but profound B-cell reset correlating with superior reduction in renal pathology and autoantibodies, while T cell engagers (TCEs) mediate rapid yet partial B-cell depletion and transient efficacy. UCAR-T concurrently induces greater acute inflammatory responses, aligning with its distinct toxicity profile. By resolving therapy-specific effects on human immune dynamics and symptom control, this study empowers context-specific therapeutic selection for SLE, advancing tailored management strategies.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Single cell transcriptomic analysis of renal allograft rejection reveals novel insights into intragraft TCR clonality 94%
- Blood immunophenotyping identifies distinct kidney histopathology and outcomes in patients with lupus nephritis 94%
- Antibody-drug conjugates targeting CD45 plus Janus kinase inhibitors effectively condition for allogeneic hematopoietic stem cell transplantation 94%
Similar papers in this journal
- IRF7 controls spontaneous autoimmune germinal center and plasma cell checkpoints 95%
- Human ASXL1 Deficiency Causes Epigenetic Dysfunction, Combined Immunodeficiency and EBV–Associated Hodgkin Lymphoma 95%
- Cell-intrinsic functions of the transcription factor Bhlhe40 in activated B cells and T follicular helper cells restrain the germinal center reaction and prevent lymphomagenesis 93%
Similar papers in this journal
- Single cell transcriptomics reveals distinct effector profiles of infiltrating T cells in lupus skin and kidney 93%
- Engineered cytokine/antibody fusion proteins improve delivery of IL-2 to pro-inflammatory cells and promote antitumor activity 93%
- Single-cell transcriptomics of allo-reactive CD4+ T cells over time reveals divergent fates during gut GVHD 92%
Similar papers in this journal
- Genetic variants in UNC93B1 predispose to childhood-onset systemic lupus erythematosus 96%
- The immune cell landscape in kidneys of lupus nephritis patients 95%
- Astrocyte-targeted gene delivery of interleukin 2 specifically increases brain-resident regulatory T cell numbers and protects against pathological neuroinflammation 93%
Similar papers in this journal
- The immune profile of circulating autoreactive CD4 T cells is imprinted through tissue activation during autoimmune liver diseases 94%
- SLE non-coding Genetic Risk Variant Determines the Epigenetic Dysfunction of an Immune Cell Specific Enhancer that Controls Disease-critical microRNA Expression 94%
- Cytotoxic CD8 + T cells target citrullinated antigens in rheumatoid arthritis 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.