Acthar Gel Inhibits the Activation of CD4 <sup>+</sup> and CD8 <sup>+</sup> T Cells
Bibliographic record
Abstract
Several inflammatory diseases are characterized by elevated T cell counts and high pro-inflammatory cytokine levels. Inhibiting T cell activity may reduce tissue damage associated with these diseases. Acthar ® Gel has potent anti-inflammatory properties, yet little is known about its effect on T cells. This study compared the effects of Acthar, synthetic adrenocorticotropic hormone 1–24 (ACTH 1–24 ) depot, and prednisolone in a murine model of T cell activation. Assessments of CD4 + helper and CD8 + cytotoxic T cells and plasma concentrations of interferon-γ (IFN-γ), interleukin-2 (IL-2), and tumor necrosis factor-α (TNF-α) were made following anti-CD3-activation. Acthar significantly reduced the number of activated CD4 + and CD8 + T cells at amounts comparable to synthetic ACTH 1–24 depot or prednisolone. However, Acthar reduced production of IFN-γ, IL-2, and TNF-α significantly more than the other drugs, suggesting that the in vivo immunomodulatory effects of Acthar on T cells are distinct from synthetic ACTH 1–24 depot or prednisolone.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".