Evidence map›Paper›PMID 26718498›Full record

ArticleDiabetes2016

A Preclinical Consortium Approach for Assessing the Efficacy of Combined Anti-CD3 Plus IL-1 Blockade in Reversing New-Onset Autoimmune Diabetes in NOD Mice.

Ronald G Gill, Philippe P Pagni, Tinalyn Kupfer, Clive H Wasserfall, Songyan Deng, Amanda Posgai, Yulia Manenkova, Amira Bel Hani, Laura Straub, Philip Bernstein and 6 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Diabetes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Nanotargeted Delivery of Immune Therapeutics in Type 1 Diabetes.Advanced materials (Deerfield Beach, Fla.) · 2023
    Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. The NLRP3 Inflammasome and Its Role in T1DM.Frontiers in immunology · 2020
    Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 8 institutions in 1 country.

Ronald G GillDepartments of Surgery and Immunology, University of Colorado Denver, Aurora, CO ronald.gill@ucdenver.edu.
Philippe P PagniLa Jolla Institute for Allergy and Immunology, La Jolla, CA.
Tinalyn KupferDepartments of Surgery and Immunology, University of Colorado Denver, Aurora, CO.
Clive H WasserfallDepartment of Pathology, University of Florida, Gainesville, FL.
Songyan DengYale University School of Medicine, New Haven, CT.
Amanda PosgaiDepartment of Pathology, University of Florida, Gainesville, FL.
Yulia ManenkovaLa Jolla Institute for Allergy and Immunology, La Jolla, CA.
Amira Bel HaniLa Jolla Institute for Allergy and Immunology, La Jolla, CA.
Laura StraubImmune Tolerance Network, University of California, San Francisco, San Francisco, CA.
Philip BernsteinImmune Tolerance Network, Bethesda, MD.
Mark A AtkinsonDepartment of Pathology, University of Florida, Gainesville, FL.
Kevan C HeroldYale University School of Medicine, New Haven, CT.
Matthias von HerrathLa Jolla Institute for Allergy and Immunology, La Jolla, CA.
Teodora StaevaJDRF, New York, NY.
Mario R EhlersImmune Tolerance Network, University of California, San Francisco, San Francisco, CA.
Gerald T NepomBenaroya Research Institute, Seattle, WA.
La Jolla Institute for Immunology · USUniversity of Florida · USImmune Tolerance Network · USUniversity of Colorado Denver · USYale University · USBenaroya Research InstituteBreakthrough T1D · USUniversity of California, San Francisco · US

Funding

Immune Tolerance Network UM1 2023 SupplementUM1AI109565 · NIAID · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI Mark S Anderson, Jane Hoyt Buckner · 2014 to 2026
$451.6M
NIAID NIH HHS UM1 AI109565
6 · The paper itself

Abstract

There is an ongoing need to develop strategic combinations of therapeutic agents to prevent type 1 diabetes (T1D) or to preserve islet β-cell mass in new-onset disease. Although clinical trials using candidate therapeutics are commonly based on preclinical studies, concern is growing regarding the reproducibility as well as the potential clinical translation of reported results using animal models of human disorders. In response, the National Institutes of Health Immune Tolerance Network and JDRF established a multicenter consortium of academic institutions designed to assess the efficacy and intergroup reproducibility of clinically applicable immunotherapies for reversing new-onset disease in the NOD mouse model of T1D. Predicated on prior studies, this consortium conducted coordinated, prospective studies, using joint standard operating procedures, fixed criteria for study entry, and common reagents, to optimize combined anti-CD3 treatment plus interleukin-1 (IL-1) blockade to reverse new-onset disease in NOD mice. We did not find that IL-1 blockade with anti-IL-1β monoclonal antibody or IL-1trap provided additional benefit for reversing new-onset disease compared with anti-CD3 treatment alone. These results demonstrate the value of larger, multicenter preclinical studies for vetting and prioritizing therapeutics for future clinical use.

Indexed as

AnimalsAntibodies, MonoclonalAutoimmune DiseasesBiomedical ResearchCD3 ComplexDiabetes Mellitus, Type 1Drug Administration ScheduleDrug Therapy, CombinationFemaleImmunoglobulin Fab FragmentsImmunotherapyInsulinInsulin-Secreting CellsInsulin SecretionInterleukin-1betaInterleukin-1 Receptor Accessory ProteinAntibodies, MonoclonalCD3 ComplexIL1B protein, mouseImmunoglobulin Fab FragmentsInsulinInterleukin-1betaInterleukin-1 Receptor Accessory ProteinReceptors, Interleukin-1 Type IRecombinant Fusion Proteinsrilonacept

Identifiers

PMID26718498
PMCPMC5860426
OpenAlexW2342296831

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.