Re-PERFUSE: Phase 1b Study of AZD3427, a Novel Relaxin Receptor Agonist, on Renal Perfusion in HFrEF Patients
Bibliographic record
Abstract
Abstract Aims Renal impairment frequently coexists with heart failure (HF) and is associated with increased risk of poor clinical outcomes. This highlights the urgent need for therapies targeting both cardiac and renal dysfunction. AZD3427, a long-acting recombinant fusion protein and relaxin analogue that selectively activates the relaxin family peptide receptor 1 (RXFP1), showed trends of increased stroke volume and estimated glomerular filtration rate (eGFR) in HF patients (NCT04630067). The hypothesis is that AZD3427 may enhance GFR by expanding the functional renal cortex volume and improving renal perfusion. Methods and results The Re-PERFUSE study (NCT06611423) is a Phase 1b, randomised, double-blind, placebo-controlled trial aimed at evaluating the effects of AZD3427 on renal perfusion in patients with HF and reduced ejection fraction (HFrEF) with reduced eGFR. Patients with HF, EF ≤ 40% and an eGFR of 30 to 90 mL/min/1.73 m2, assessed by the CKD-EPI 2021, will receive a single dose of subcutaneous AZD3427 (n = 6) or placebo (n = 6). Intravenous dopamine will serve as a positive control for increased renal blood flow. Positron emission tomography (PET) imaging with [15O]-labelled water will be used to measure renal cortex blood flow pre- and post-treatment, allowing differentiation between global and focal renal blood flow changes and providing insights into potential nephron recruitment and increased filtration membrane area. Safety and tolerability will be assessed through monitoring of adverse events, clinical laboratory tests and vital signs. Conclusions This study, alongside other ongoing AZD3427 studies, aims to evaluate the dual effects of AZD3427 in improving both cardiac and renal function. These insights could guide the development of future therapeutic strategies for managing HF and renal impairment.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".