Evidence map›Paper›PMID 30282826›Full record

Trial reportJCI insight2018

The DILfrequency study is an adaptive trial to identify optimal IL-2 dosing in patients with type 1 diabetes.

Eleonora Seelig, James Howlett, Linsey Porter, Lucy Truman, James Heywood, Jane Kennet, Emma L Arbon, Katerina Anselmiova, Neil M Walker, Ravinder Atkar and 8 more

Registry-linked trialOpen access · goldAbstract readClinical Trial, Phase IClinical Trial, Phase IIAdaptive Clinical Trial
In one paragraph

Trial report in JCI insight, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02265809 (Adaptive Study of IL-2 Dose Frequency on Regulatory T Cells in Type 1 Diabetes), which is not on this map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02265809 phase1 / phase2completednot on this map

Adaptive Study of IL-2 Dose Frequency on Regulatory T Cells in Type 1 Diabetes (DILfrequency)

TypeinterventionalSponsorCambridge University Hospitals NHS Foundation TrustRan2014 to 2016Enrolled41ConditionsType 1 DiabetesArmsAldesleukin
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 42 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Theranostics · 2026
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. The immunology of type 1 diabetes.Nature reviews. Immunology · 2024
    Review
  10. IL-2-driven CD8Trends in immunology · 2023
    Review
  11. Article
  12. Prevention of Type 1 Diabetes in Children: A Worthy Challenge?International journal of environmental research and public health · 2023
    Review
  13. Article
  14. IL-2-based approaches to Treg enhancement.Clinical and experimental immunology · 2023
    Review
  15. Article
  16. Low-dose IL-2 reduces IL-21Nature communications · 2022
    Article
  17. Self-Antigens Targeted by Regulatory T Cells in Type 1 Diabetes.International journal of molecular sciences · 2022
    Review
  18. Article
  19. Diabetes type 1: Can it be treated as an autoimmune disorder?Reviews in endocrine & metabolic disorders · 2021
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 2 institutions in 3 countries.

Eleonora SeeligExperimental Medicine and Immunotherapeutics, Department of Medicine.
James HowlettNational Institute for Health Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom.
Linsey PorterExperimental Medicine and Immunotherapeutics, Department of Medicine.
Lucy TrumanNational Institute for Health Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom.
James HeywoodExperimental Medicine and Immunotherapeutics, Department of Medicine.
Jane KennetExperimental Medicine and Immunotherapeutics, Department of Medicine.
Emma L ArbonNational Institute for Health Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom.
Katerina AnselmiovaExperimental Medicine and Immunotherapeutics, Department of Medicine.
Neil M WalkerNational Institute for Health Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom.
Ravinder AtkarNational Institute for Health Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom.
Marcin L PekalskiNational Institute for Health Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom.
Ed RytinaNational Institute for Health Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom.
Mark EvansWellcome Trust-MRC Institute of Metabolic Science, and.
Linda S WickerNational Institute for Health Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom.
John A ToddNational Institute for Health Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom.
Adrian P ManderNational Institute for Health Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom.
Simon BondNational Institute for Health Research, Cambridge Biomedical Research Centre, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom.
Frank Waldron-LynchExperimental Medicine and Immunotherapeutics, Department of Medicine.
University of Cambridge · GBCentre for Human Genetics · GB

Funding

Department of HealthMedical Research Council MC_UU_00002/3Wellcome Trust
6 · The paper itself

Abstract

backgroundType 1 diabetes (T1D) results from loss of immune regulation, leading to the development of autoimmunity to pancreatic β cells, involving autoreactive T effector cells (Teffs). Tregs, which prevent autoimmunity, require IL-2 for maintenance of immunosuppressive functions. Using a response-adaptive design, we aimed to determine the optimal regimen of aldesleukin (recombinant human IL-2) to physiologically enhance Tregs while limiting expansion of Teffs.

methodsDILfrequency is a nonrandomized, open-label, response-adaptive study of participants, aged 18-70 years, with T1D. The initial learning phase allocated 12 participants to 6 different predefined regimens. Then, 3 cohorts of 8 participants were sequentially allocated dose frequencies, based on repeated interim analyses of all accumulated trial data. The coprimary endpoints were percentage change in Tregs and Teffs and CD25 (α subunit of the IL-2 receptor) expression by Tregs, from baseline to steady state.

resultsThirty-eight participants were enrolled, with thirty-six completing treatment. The optimal regimen to maintain a steady-state increase in Tregs of 30% and CD25 expression of 25% without Teff expansion is 0.26 × 106 IU/m2 (95% CI -0.007 to 0.485) every 3 days. Tregs and CD25 were dose-frequency responsive, Teffs were not. The commonest adverse event was injection site reaction (464 of 694 events).

conclusionsUsing a response-adaptive design, aldesleukin treatment can be optimized. Our methodology can generally be employed to immediately access proof of mechanism, thereby leading to more efficient and safe drug development.

trial registrationInternational Standard Randomised Controlled Trial Number Register, ISRCTN40319192; ClinicalTrials.gov, NCT02265809.

fundingSir Jules Thorn Trust, the Swiss National Science Foundation, Wellcome, JDRF, and NIHR Cambridge Biomedical Research Centre.

Indexed as

AdolescentAdultAgedDiabetes Mellitus, Type 1Dose-Response Relationship, DrugDrug Administration ScheduleFeasibility StudiesFemaleHumansInterleukin-2Interleukin-2 Receptor alpha SubunitLymphocyte ActivationLymphocyte CountMaleMiddle AgedRecombinant ProteinsaldesleukinIL2RA protein, humanInterleukin-2Interleukin-2 Receptor alpha SubunitRecombinant ProteinsAutoimmune diseasesAutoimmunityClinical TrialsDiabetesT cells

Identifiers

PMID30282826
PMCPMC6237447
OpenAlexW2895525787

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.