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Record W4366083749 · doi:10.1089/jir.2022.0257

Acthar Gel Inhibits the Activation of CD4 <sup>+</sup> and CD8 <sup>+</sup> T Cells

2023· article· en· W4366083749 on OpenAlexfundno aff
Dale Wright, Kyle Hayes

Bibliographic record

VenueJournal of Interferon & Cytokine Research · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunotoxicology and immune responses
Canadian institutionsnot available
FundersMallinckrodt Pharmaceuticals
KeywordsCD8Cytotoxic T cellTumor necrosis factor alphaT cellPrednisoloneCytokineMolecular biologyChemistryEndocrinologyIn vivoInternal medicineBiologyImmune systemImmunologyIn vitroMedicineBiochemistry

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.049
GPT teacher head0.332
Teacher spread0.282 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Interferon & Cytokine ResearchSame topicImmunotoxicology and immune responsesFrench-language works237,207