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S1319 Seladelpar Treatment Resulted in Correlated Decreases in Serum IL-31 and Pruritus in Patients With Primary Biliary Cholangitis (PBC): Post-Hoc Results from the Phase 3 Randomized, Placebo-Controlled ENHANCE Study

2023· article· en· W4387749799 on OpenAlexaff
Andreas E. Kremer, Marlyn J. Mayo, Gideon M. Hirschfield, Cynthia Levy, Christopher L. Bowlus, David Jones, Charles A. McWherter, Yun‐Jung Choi

Bibliographic record

VenueThe American Journal of Gastroenterology · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunodeficiency and Autoimmune Disorders
Canadian institutionsToronto Liver Centre
Fundersnot available
KeywordsMedicineInternal medicineGastroenterologyPlaceboQuality of life (healthcare)Randomized controlled trialCytokineCholestasisPathology

Abstract

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Introduction: Pruritus is a debilitating symptom impacting the quality of life for many people living with PBC. Interleukin-31 (IL-31) is a cytokine reported to be mechanistically relevant to pruritus and its treatment, including those with cholestasis. Treatment with seladelpar, a selective PPAR-delta agonist, is associated with significant improvement in pruritus in PBC. Here we report the effect of seladelpar on serum IL-31 levels and its association with pruritus in patients with PBC. Methods: IL-31 levels were quantified in serum samples from the ENHANCE study of seladelpar (EudraCT 2018-001171-20) in patients with PBC who received daily oral doses of placebo (n = 55), seladelpar 5 mg (n = 53) or 10 mg (n = 53) for 3 months. Serum IL-31, bile acids and their correlation with patient-reported pruritus numerical rating scale (NRS, 0-10) were assessed. Results: Baseline IL-31 levels positively correlated with pruritus NRS (r = 0.54, P < 0.0001). Patients with NRS ≥ 4 had significantly higher baseline median [IQR] IL-31 compared to patients with pruritus NRS < 4 (7.6 pg/mL [1.2, 14.5] vs 1.2 pg/mL [0.3, 2.8], P < 0.0001). At baseline, IL-31 was also correlated with serum total bile acids (r = 0.54, P < 0.0001) and ALP (r = 0.44, P < 0.0001). Seladelpar treatment strongly decreased mean IL-31 levels from baseline to Month 3: seladelpar 5 mg (3.8 to 1.7 pg/mL, P < 0.001), 10 mg (4.2 to 1.7 pg/mL, P < 0.001) compared to placebo (4.3 to 3.9 pg/mL, not significant). A substantial dose-dependent % decrease in IL-31 was observed with seladelpar treatments: seladelpar 5 mg (-30%, P < 0.001) and 10 mg (-52%, P < 0.0001) compared to placebo (+31%). Patients with a clinically meaningful improvement in pruritus NRS (≥ 2 decrease) demonstrated greater dose-dependent reductions in IL-31 from baseline compared to those without pruritus improvement. We also observed significant correlations between changes in IL-31 vs pruritus NRS (r = 0.54, P < 0.0001) and ALP (r = 0.40, P < 0.01), but neither with ALT nor AST, in the seladelpar 10 mg group. Changes in IL-31 and total bile acids correlated in the seladelpar 10 mg group (r = 0.63, P < 0.0001). Conclusion: Seladelpar dose-dependently decreased IL-31 in patients with PBC. Reduction in serum IL-31 correlated with pruritus improvement. These results suggest that IL-31 may have a role in pruritus in patients with PBC. It may also be a biomarker related to the anti-pruritic effects of seladelpar (Figure 1).Figure 1.: Effects of seladelpar on IL-31 and pruritus in patients with PBC.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.004
GPT teacher head0.225
Teacher spread0.221 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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