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Record W4414950869 · doi:10.1136/lupus-2025-la.21

21 News and views: Exciting new approaches in therapy, double-hit therapies, JAK inhibitors

2025· article· en· W4414950869 on OpenAlexaff
Murray Urowitz

Bibliographic record

VenueAbstracts · 2025
Typearticle
Languageen
FieldMedicine
TopicCytokine Signaling Pathways and Interactions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsKey (lock)RuxolitinibCancerFeature (linguistics)

Abstract

fetched live from OpenAlex

What have we learned from all randomized controlled trials with new agents added on to standard of care for the treatment of patients with systemic lupus erythematosus (SLE)? While positive studies have revealed clinical response rates of 40–60% a substantial proportion (40–60%) of patients still do not achieve an adequate response when these agents are introduced as a late addition to their treatment regimen. This persistent unmet need has spurred a critical shift towards the concept of combined, multitarget therapy at induction. This strategy aims to address the inherent heterogeneity of SLE pathogenesis by simultaneously modulating multiple dysregulated pathways from the outset.While multitarget approaches are sometimes achieved with a single therapeutic agent, they more commonly involve the strategic combination of two or more agents. Emerging ‘double-hit’ single therapies include telitacicept (an anti-BAFF and anti-APRIL agent), ianalumab (which both enhances antibody-dependent cellular cytotoxicity-mediated B-cell depletion and blocks BAFF:BAFF-R signaling), and a novel BCMA-CD19 CAR-T cell therapy that targets both BCMA and CD19.1–3 Newer single hit therapies, which could be used in conjunction with standard of care, are the JAK inhibitors. These agents include upadacitinib a classic JAK 1 inhibitor, deucravacitinib a TYK2 inhibitor and baricitinib a JAK1/2 inhibitor.4–6 These small molecule drugs have the advantage of being oral agents. Both these approaches offer multitarget approaches more appropriate for the heterogenous pathogenic mechanisms’ characteristic of SLE.Learning Objectives At the end of this presentation participants will be able to:Explain the limitations of traditional add-on therapeutic strategies in SLE, specifically recognizing the suboptimal response rates (40–60%) observed in randomized controlled trials, when newer agents are added to failed standard of careExplain the evolving paradigm in SLE treatment, emphasizing the rationale for earlier, multitargeted therapeutic approaches, whether through single ‘double-hit’ agents or combination regimensIdentify and describe specific examples of emerging ‘double-hit’ single therapies for SLE, including telitacicept, ianalumab, and BCMA-CD19 CAR-T cell therapyDiscuss the role of newer oral small molecule kinase inhibitors, such as upadacitinib and deucravacitinib, as potential additions to standard of care in SLE, considering their mechanisms and current developmental statusReferences Agmon-Levin N, Ignatenko S, Gordienko A, et al. OP0089 phase 2 safety and efficacy of subcutaneous (s.C.) dose ianalumab (vay736; anti-baffr mab) administered every 4 weeks up to 48 weeks in patients with systemic lupus erythematosus (sle). Ann Rheum Dis. 2024;83(Suppl 1):140. doi: 10.1136/annrheumdis-2024-eular.634Jin HZ, Li YJ, Wang X, et al. Efficacy and safety of telitacicept in patients with systemic lupus erythematosus: A multicentre, retrospective, real-world study. Lupus Sci Med. 2023;10(2). doi: 10.1136/lupus-2023-001074Wang W, He S, Zhang W, et al. BCMA-CD19 compound CAR T cells for systemic lupus erythematosus: a phase 1 open-label clinical trial. Ann Rheum Dis. 2024. doi: 10.1136/ard-2024-225785Merrill JT, Tanaka Y, D’Cruz D, et al. Efficacy and safety of upadacitinib or elsubrutinib alone or in combination for patients with systemic lupus erythematosus: a phase 2 randomized controlled trial. Arthritis Rheumatol. 2024;76(10):1518–29. doi: 10.1002/art.42926Morand E, Pike M, Merrill JT, et al. Deucravacitinib, a tyrosine kinase 2 inhibitor, in systemic lupus erythematosus: a phase II, randomized, double-blind, placebo-controlled trial. Arthritis Rheumatol. 2023;75(2):242–52. doi: 10.1002/art.42391Shah HH, Ashfaque F, Hadi Z, et al. Baricitinib in the treatment of systemic lupus erythematosus: a systematic review of randomized controlled trials. Ann Med Surg (Lond). 2024;86(8):4738–44. doi: 10.1097/ms9.0000000000002298

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.040
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0080.006
Open science0.0020.002
Research integrity0.0110.015
Insufficient payload (model declined to judge)0.0400.019

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.116
GPT teacher head0.318
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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