IL-7/anti–IL-7 mAb complexes augment cytokine potency in mice through association with IgG-Fc and by competition with IL-7R
Bibliographic record
Abstract
Interleukin-7 (IL-7) is essential to T-cell survival as well as homeostatic proliferation, and clinical trials that exploit the mitogenic effects of IL-7 have achieved success in treating human diseases. In mice, the in vivo potency of IL-7 improves dramatically when it is administered as a complex with the anti-IL-7 neutralizing monoclonal antibody clone M25. However, the mechanism whereby M25 augments IL-7 potency is unknown. We have analyzed the discrete contributions of the antibody constant (Fc) and IL-7-binding (Fab) domains to the mechanism. By engaging the neonatal Fc receptor the Fc domain extends the in vivo lifespan of IL-7/M25 complexes and accounts for the majority of their activity. Unexpectedly, the IL-7-neutralizing Fab domain provides an additional, albeit smaller, contribution, possibly by serving as a cytokine depot. This study is the first to demonstrate that the neutralizing aspect of the monoclonal antibody is directly involved in enhancing the potency of a cytokine with a single form of receptor. Lessons from the mechanism of IL-7/M25 complexes inform the design of next-generation cytokine therapeutics.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".