Targeting cell migration in rheumatoid arthritis
Bibliographic record
Abstract
PURPOSE OF REVIEW: To provide an update of past failures, future prospects and key challenges facing the therapeutic targeting of chemokines and their receptors in rheumatoid arthritis. RECENT FINDINGS: Clinical trials in rheumatoid arthritis have been undertaken with small molecule antagonists or neutralizing antibodies targeting CCR1, CCR5 and CXCL10. Some encouraging results have emerged. Laboratory and clinical research has identified CCL19, CXCL13 and CXCL12, and their receptors, as potential future targets. Developments in our appreciation of posttranslational chemokine modification highlight the complexity of chemokine networks operating in inflamed tissues, and the substantial gaps in existing knowledge. SUMMARY: Despite previous disappointments, there are still reasons to be optimistic that drugs targeting chemokines and their receptors could be developed for the treatment of rheumatoid arthritis. However, a deeper understanding of the chemokine networks at work in inflamed joints is a necessary prerequisite.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".