A Pilot Study of IL2 in Drug-Resistant Idiopathic Nephrotic Syndrome
Bibliographic record
Abstract
UNLABELLED: Tregs infusion reverts proteinuria and reduces renal lesions in most animal models of nephrotic syndrome (i.e. Buffalo/Mna, Adriamycin, Promycin, LPS). IL2 up-regulates Tregs and may be an alternative to cell-therapy in this setting. To evaluate a potential role of IL2 as Tregs inducer and proteinuria lowering agent in human nephrotic syndrome we treated 5 nephrotic patients with 6 monthly cycles of low-dose IL2 (1x106 U/m2 first month, 1.5x106 U/m2 following months). The study cohort consisted of 5 children (all boys, 11–17 years) resistant to all the available treatments (i.e. steroids, calcineurin inhibitors, mycophenolate, Rituximab). Participants had Focal Segmental Glomerulosclerosis (3 cases) or Minimal Change Nephropathy (2 cases). IL2 was safe in all but one patient who had an acute asthma attack after the first IL2 dose and did not receive further doses. Circulating Tregs were stably increased (>10%) during the whole study period in 2 cases while were only partially modified in the other two children who started with very low levels and partially responded to single IL2 Proteinuria and renal function were not modified by IL2 at any phase of the study. We concluded that low-dose IL2 given in monthly pulses is safe and modifies the levels of circulating Tregs. This drug may not be able to lower proteinuria or affect renal function in children with idiopathic nephrotic syndrome. We were unable to reproduce in humans the effects of IL2 described in rats and mice reducing de facto the interest on this drug in nephrotic syndrome. TRIAL REGISTRATION: ClinicalTrials.gov NCT02455908.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".