P31 Elafibranor impacts inflammatory, fibrotic and symptom-associated markers in patients with primary biliary cholangitis (PBC): proteomic results from the ELATIVE trial
Bibliographic record
Abstract
PBC is a rare, cholestatic liver disease characterized by inflammation, fibrosis, and destruction of intrahepatic bile ducts. Elafibranor, a peroxisome proliferator-activated receptor (PPAR) agonist exerting effects on PPAR alpha and delta, was efficacious and well-tolerated in patients with PBC in the phase III ELATIVE® trial (NCT04526665). Here, longitudinal protein expression profiles were evaluated in serum samples from patients in ELATIVE®, to provide insights into the immunoregulatory mechanism of elafibranor in PBC. For patients in ELATIVE® who consented, serum samples were collected at baseline, Week 26, and Week 52. Longitudinal protein expression profiles were analyzed using Olink® Proximity Extension Assay technology. Two Olink® panels, Target 96 Immune Response and Explore HT, were used, covering >5,500 proteins. Quality control and data normalization were conducted by Olink®. Linear mixed models were fitted to each protein from baseline to Week 52. Statistically significant changes in protein expression were identified using the Benjamini-Hochberg method with a 5% false discovery rate. Proteins with statistically significant changes in expression were assessed in elafibranor-treated patients with and without biochemical response, according to the primary endpoint of ELATIVE®. Pathway analyses were conducted using QIAGEN® Ingenuity Pathway Analysis (IPA®). Serum samples were analyzed from 121 patients, of whom 87 received elafibranor; 46 with and 41 without biochemical response at Week 52. Expression of control proteins, gamma-glutamyl transferase-1 (GGT1) and 5’-nucleotidase (NT5E), decreased with elafibranor treatment when measured by Olink® and standard methodologies, validating the use of Olink®. A network of >20 proteins involved in hepatic inflammation had statistically significant changes of expression in elafibranor-treated patients with biochemical response at Week 52. IPA® revealed a novel inflammatory signature, including downregulation of intercellular adhesion molecule 1 (ICAM-1), dipeptidyl peptidase 4 (DPP4) and SerpinA3. This network is known to be implicated in immune cell adhesion and inflammatory regulation, and maps to immunomodulation and fibrosis pathways. Similarly, biomarkers associated with itching and fibrosis, such as bone marrow stromal cell antigen 2 (BST2) or solute carrier family 39 member 14 (SLC39A14), were significantly downregulated. This is the first longitudinal proteomic analysis to characterize proteins with modulated expression in patients with PBC treated with elafibranor. These findings provide novel mechanistic insights into the anti-inflammatory effect of elafibranor in PBC, as well as the impact on proteins associated with PBC symptoms, through effects on PPAR alpha and delta.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".