Novel therapies for axial spondyloarthritis and future directions
Bibliographic record
Abstract
This update explores emerging therapeutic strategies aimed at novel targets implicated in the pathogenesis of axSpA. Recent clinical trials of bimekizumab, a monoclonal antibody targeting both IL-17A and IL-17F, and janus-kinase inhibitors have demonstrated significant and sustained improvements in clinical and imaging outcomes, with a favorable safety profile and reduced rates of uveitis. Investigational agents targeting GM-CSF and MK2 have not demonstrated efficacy, but the targeting of autoreactive T cell clonotypes shared among individuals with axSpA using depleting antibodies to the variable gene segment 9 of the T cell receptor beta chain appears promising. Preclinical investigation has focused on cytokines, such as macrophage inflammatory protein, and kinases, such as mammalian target of rapamycin and phosphoinositide 3-kinase, and transcriptional factors, such as retinoic acid receptor-related orphan receptor-yt that regulate expression of IL-17A and -F cytokines. Several advances in therapeutic technologies also hold promise for more effective therapeutics based on current targets.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".