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Record W3200515041 · doi:10.1002/cpdd.1020

Pharmacokinetics and Pharmacodynamics of Repository Corticotropin Injection Compared With Synthetic ACTH<sub>1‐24</sub> Depot and Methylprednisolone in Healthy Subjects

2021· article· en· W3200515041 on OpenAlexfundno aff
Nagaraju Poola, Bryan Due, Dale Wright, Leah R. Brooks, Fahima Zaman

Bibliographic record

VenueClinical Pharmacology in Drug Development · 2021
Typearticle
Languageen
FieldMedicine
TopicAdrenal Hormones and Disorders
Canadian institutionsnot available
FundersMallinckrodt Pharmaceuticals
KeywordsDepotMedicinePharmacodynamicsAdrenocorticotropic hormonePharmacokineticsMethylprednisoloneInternal medicineEndocrinologyCorticosteroidPharmacologyHormone

Abstract

fetched live from OpenAlex

Abstract Repository corticotropin injection (RCI; Acthar Gel) is a naturally sourced complex mixture of adrenocorticotropic hormone (ACTH) analogs and other pituitary peptides. This phase 1, single‐center, open‐label, randomized parallel study directly compared the pharmacokinetics and pharmacodynamics of RCI and synthetic ACTH 1‐24 depot. Methylprednisolone was included to estimate the steroidogenic exposure of RCI and synthetic ACTH 1‐24 depot when used to treat nephrotic syndrome. A total of 48 healthy subjects aged 18 to 50 years were randomly assigned 1:1:1 to RCI (80 IU subcutaneously twice weekly on study days 1 and 4), synthetic ACTH 1‐24 depot (1 mg subcutaneously twice weekly on study days 1 and 4), or methylprednisolone (32 mg orally once daily on study days 1 through 6). After 2 doses, RCI induced about 5‐fold lower free cortisol exposure and an estimated 4‐fold lower steroidogenic exposure than synthetic ACTH 1‐24 depot. The lower endogenous cortisol response of RCI was achieved despite higher observed mean plasma concentrations of N25‐deamidated porcine ACTH 1‐39 (the pharmacokinetic marker for RCI) than of ACTH 1‐24 . The different pharmacodynamic properties demonstrated by RCI and synthetic ACTH 1‐24 depot in this study suggest that these products in the ACTH class are not interchangeable.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.025
GPT teacher head0.341
Teacher spread0.316 · 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 designObservational
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

Citations17
Published2021
Admission routes1
Has abstractyes

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