Evidence map›Paper›PMID 23691523›Full record

ArticleJournal of diabetes research2013

Foxp3(+) regulatory T cells in mouse models of type 1 diabetes.

Cathleen Petzold, Julia Riewaldt, Deepika Watts, Tim Sparwasser, Sonja Schallenberg, Karsten Kretschmer

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 30 citations in OpenAlex.

  1. International journal of molecular sciences · 2026
    Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Transient Depletion of Foxp3Frontiers in immunology · 2021
    Article
  7. Article
  8. Are Regulatory T Cells Defective in Type 1 Diabetes and Can We Fix Them?Journal of immunology (Baltimore, Md. : 1950) · 2016
    Review
  9. Article
  10. Article
  11. Article
  12. Activated FoxM1 attenuates streptozotocin-mediated β-cell death.Molecular endocrinology (Baltimore, Md.) · 2014
    Article
  13. Advances in the cellular immunological pathogenesis of type 1 diabetes.Journal of cellular and molecular medicine · 2014
    Review
  14. Article
  15. Review
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

6 authors at 3 institutions in 1 country.

Cathleen PetzoldCenter for Regenerative Therapies Dresden, 01307 Dresden, Germany.
Julia Riewaldt
Deepika Watts
Tim Sparwasser
Sonja Schallenberg
Karsten Kretschmer
Berlin-Brandenburger Centrum für Regenerative Therapien · DECenter for Experimental and Clinical Infection Research · DEHeinrich Heine University Düsseldorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies on human type 1 diabetes (T1D) are facilitated by the availability of animal models such as nonobese diabetic (NOD) mice that spontaneously develop autoimmune diabetes, as well as a variety of genetically engineered mouse models with reduced genetic and pathogenic complexity, as compared to the spontaneous NOD model. In recent years, increasing evidence has implicated CD4(+)CD25(+) regulatory T (Treg) cells expressing the transcription factor Foxp3 in both the breakdown of self-tolerance and the restoration of immune homeostasis in T1D. In this paper, we provide an overview of currently available mouse models to study the role of Foxp3(+) Treg cells in the control of destructive β cell autoimmunity, including a novel NOD model that allows specific and temporally controlled deletion of Foxp3(+) Treg cells.

Identifiers

PMID23691523
PMCPMC3647588
OpenAlexW2013263553

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.