Long‐Term Efficacy and Tolerability of Pegzilarginase in Arginase 1 Deficiency: Results of Two International Multicentre Open‐Label Extension Studies
Bibliographic record
Abstract
Arginase 1 deficiency (ARG1-D) is an autosomal recessive urea cycle disorder characterised by chronic hyperargininaemia, progressive spasticity, loss of mobility, and cognitive dysfunction. Standard of care (SOC), based on dietary protein restriction, rarely prevents progression. Pegzilarginase, a recombinant human enzyme, is the first approved disease-modifying therapy. We report outcomes from Study 102A (n = 14; up to 5 years) and the PEACE long-term extension (LTE) (n = 31; up to 3 years). Weekly pegzilarginase was administered with SOC. Outcomes included functional mobility (2-/6-minute walk tests [2MWT/6MWT], Gross Motor Function Measure [GMFM] D/E), spasticity (Modified Ashworth Scale [MAS]), plasma arginine, guanidino compounds, and safety. In PEACE, LTE arms were named according to initial 24-week double-blind treatment: placebo-pegzilarginase or pegzilarginase-pegzilarginase. Of 39 evaluable participants, 37 (95%) met composite response or achieved maximum score in ≥ 1 motor function domain. In 102A, mean 6MWT improved to 68.2 m (+19%; n = 12); GMFM-D/E increased by 2.7/3.7. In PEACE (pegzilarginase-pegzilarginase; placebo-pegzilarginase), 2MWT improved to 16.5 m (+25%; n = 6) and 13.5 m (+16%; n = 2); GMFM-D/E improved by 4.3/6.0 (n = 6) and 5.3/11.3 (n = 3). Spasticity improved in 21/25 (84%), with 12 reaching MAS 0 (no spasticity). Pegzilarginase sustained plasma arginine control: in 102A, means were 118 μmol/L at Week 192 (n = 9); in PEACE, < 115 μmol/L through Week 96 (n = 11). Guanidinoacetic acid normalised; N-acetylarginine approached normal; argininic acid and α-keto-δ-guanidinovaleric acid declined by > 50%. Most adverse events were mild/moderate; no treatment-related discontinuations or persistent antibodies occurred. Pegzilarginase produced sustained improvements in mobility, spasticity and biochemical control, supporting early intervention, long-term use and disease modification in ARG1-D.
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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 | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".