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Record W4414167020 · doi:10.1007/s12325-025-03359-5

A Narrative Review of the Immunomodulatory Effects of Acthar® Gel Beyond Its Steroidogenic Properties

2025· article· en· W4414167020 on OpenAlexfundno aff
Mehdi Mirsaeidi, Jeffrey Kaplan, John Affeldt, Regina Berkovich, Anca Askanase

Bibliographic record

VenueAdvances in Therapy · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Response and Inflammation
Canadian institutionsnot available
FundersMallinckrodt Pharmaceuticals
KeywordsImmune systemNarrative reviewRheumatoid arthritisAdverse effectReceptorMelanocortinRheumatologyAdrenocorticotropic hormone

Abstract

fetched live from OpenAlex

Corticosteroids have long been a standard-of-care treatment for chronic immune-mediated inflammatory diseases (IMIDs), such as rheumatoid arthritis, systemic lupus erythematosus, and multiple sclerosis. However, corticosteroids are associated with potentially serious adverse effects and may be ineffective in cases of resistant or refractory disease. Acthar® Gel, a naturally sourced complex mixture of porcine pituitary peptides, is a noncorticosteroid alternative that is approved by the US Food and Drug Administration to treat a variety of IMIDs and autoimmune conditions. These include infantile spasms, systemic lupus erythematosus, exacerbations of multiple sclerosis and rheumatoid arthritis, and several ocular inflammatory disorders. Preclinical and clinical studies have shown that the immunomodulatory effects of Acthar Gel are distinct from those of corticosteroids and other adrenocorticotropic hormone (ACTH)–class therapeutics. For example, Acthar Gel stimulates both steroid-dependent and steroid-independent pathways that may mitigate inflammation. In this narrative review, we summarize the immunomodulatory effects of Acthar Gel, with a focus on its potential mechanisms in immune cells, such as B cells, T cells, and macrophages. These effects are thought to be mediated by binding and activation of transmembrane melanocortin receptors expressed on these immune cells. Receptor binding initiates an intracellular signal transduction cascade that ultimately regulates the expression of anti-inflammatory genes. Collectively, the experimental and clinical studies reviewed here suggest that Acthar Gel acts as an immunomodulator via melanocortin receptors and may be an effective anti-inflammatory therapeutic option for patients with IMIDs who are refractory or intolerant to corticosteroids. Graphical Abstract available for this article. Steroids, also known as corticosteroids, are medications that can help reduce inflammation and treat diseases where the body’s immune system mistakenly attacks its own healthy tissue, such as rheumatoid arthritis and multiple sclerosis. However, treatment with corticosteroids can cause harmful or unwanted side effects and may not work well for some patients. Acthar® Gel is an alternative to corticosteroids that is approved by the US Food and Drug Administration to treat diseases that affect the immune system, including infantile spasms, systemic lupus erythematosus, flare-ups of multiple sclerosis and rheumatoid arthritis, and certain eye inflammations. Research studies have shown that Acthar Gel’s mechanism of action is distinct from corticosteroids, with both direct activity on immune cells and induction of low levels of natural corticosteroids produced by the body. This review paper summarizes the effect of Acthar Gel on immune system cells, such as B cells, T cells, and macrophages, and how this treatment interacts with specific targets called melanocortin receptors on these immune cells. This interaction initiates a series of signals inside the cells that ultimately reduce inflammation. The research studies discussed in this review paper suggest that Acthar Gel helps regulate the immune system by acting on the melanocortin receptors. Acthar Gel may be an appropriate treatment option to help reduce inflammation for patients with immune system diseases who are unresponsive or unable to receive corticosteroids.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.318
Threshold uncertainty score0.265

Codex and Gemma teacher scores by category

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

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 head0.005
GPT teacher head0.255
Teacher spread0.250 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2025
Admission routes1
Has abstractyes

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