Belimumab: A BAFF-specific Inhibitor for the Treatment of Systemic Lupus Erythematosus and Lupus Nephritis
Bibliographic record
Abstract
Systemic lupus erythematosus (SLE) is a systemic autoimmune disease that affects multiple organs. In particular, the presence of renal involvement, known as lupus nephritis, is a major determinant of prognosis. Conventional treatments for SLE include hydroxychloroquine, glucocorticoid and immunosuppressive agents. However, the use of such non-specific drugs increases the risk of side effects, such as infections. Soluble B-cell-activating factor (BAFF), belonging to the tumour necrosis factor family, is produced by dendritic cells and induces class switching of B cells and differentiation into antibody-producing cells. International phase III studies demonstrated the efficacy and safety of belimumab (a monoclonal antibody against soluble BAFF) not only in patients with SLE, but also in those with active lupus nephritis. There were no significant differences between the belimumab and placebo groups in the incidence of adverse events, including serious events and events necessitating drug cessation. Thus, belimumab could become an alternative induction treatment for lupus nephritis. This article describes the pathogenesis of SLE and lupus nephritis, and reviews the results of recent phase III trials of belimumab and its promising role for the treatment of patients.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".