Evidence map›Paper›PMID 26966692›Full record

ArticleJournal of diabetes research2016

Longitudinal Frequencies of Blood Leukocyte Subpopulations Differ between NOD and NOR Mice but Do Not Predict Diabetes in NOD Mice.

Tanja Telieps, Meike Köhler, Irina Treise, Katharina Foertsch, Thure Adler, Dirk H Busch, Martin Hrabě de Angelis, Admar Verschoor, Kerstin Adler, Ezio Bonifacio and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

11 authors at 7 institutions in 1 country.

Tanja TeliepsInstitute for Diabetes and Obesity, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany.
Meike KöhlerInstitute of Diabetes Research, Helmholtz Zentrum München and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany.
Irina TreiseGerman Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; Institute for Medical Microbiology, Immunology and Hygiene, Technical University of Munich, Trogerstraße 30, 81675 Munich, Germany; German Center for Diabetes Research (DZD), Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany.
Katharina FoertschInstitute of Diabetes Research, Helmholtz Zentrum München and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; Forschergruppe Diabetes e.V., Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany.
Thure AdlerGerman Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; Institute for Medical Microbiology, Immunology and Hygiene, Technical University of Munich, Trogerstraße 30, 81675 Munich, Germany; German Center for Diabetes Research (DZD), Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany.
Dirk H BuschInstitute for Medical Microbiology, Immunology and Hygiene, Technical University of Munich, Trogerstraße 30, 81675 Munich, Germany.
Martin Hrabě de AngelisGerman Mouse Clinic, Institute of Experimental Genetics, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; German Center for Diabetes Research (DZD), Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; School of Life Science Weihenstephan, Technical University of Munich, Alte Akademie 8, 85354 Freising, Germany.
Admar VerschoorInstitute for Medical Microbiology, Immunology and Hygiene, Technical University of Munich, Trogerstraße 30, 81675 Munich, Germany; Institute for Systemic Inflammation Research, University of Lübeck, Ratzeburger Allee 160, 23538 Lübeck, Germany.
Kerstin AdlerInstitute of Diabetes Research, Helmholtz Zentrum München and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; Forschergruppe Diabetes e.V., Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany.
Ezio BonifacioInstitute for Diabetes and Obesity, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; German Center for Diabetes Research (DZD), Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; Forschergruppe Diabetes e.V., Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; DFG Research Center for Regenerative Therapies Dresden, Medical Faculty, Technische Universität Dresden, Fetscherstrasse 105, 01307 Dresden, Germany.
Anette-Gabriele ZieglerInstitute of Diabetes Research, Helmholtz Zentrum München and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; German Center for Diabetes Research (DZD), Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany; Forschergruppe Diabetes e.V., Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany.
Helmholtz Zentrum München · DEInstitute of Medical Microbiology and Hygiene · DETechnical University of Munich · DEDeutsches Diabetes-Zentrum e.V. · DEHeinrich Heine University Düsseldorf · DEKlinikum rechts der Isar · DETechnische Universität Dresden · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune phenotyping provides insight into disease pathogenesis and prognostic markers. Trajectories from age of 4 to 36 weeks were modeled for insulin autoantibodies and for leukocyte subpopulations in peripheral blood from female NOD (n = 58) and NOR (n = 22) mice. NOD mice had higher trajectories of insulin autoantibodies, CD4(+) and CD8(+) T lymphocytes, B lymphocytes, IgD(+)IgM(-) B lymphocytes, and NK cells and lower trajectories of CD4(+)CD25(+) T lymphocytes, IgM(+) B lymphocytes, granulocytes, and monocytes than NOR mice (all p < 0.001). Of these, only the increased IAA trajectory was observed in NOD mice that developed diabetes as compared to NOD mice that remained diabetes-free. Therefore, the profound differences in peripheral blood leukocyte proportions observed between the diabetes-prone NOD mice and the diabetes-resistant mice do not explain the variation in diabetes development within NOD mice and do not provide markers for diabetes prediction in this model.

Indexed as

Age FactorsAnimalsAutoantibodiesBiomarkersDiabetes Mellitus, Type 1FemaleGenetic Predisposition to DiseaseImmunophenotypingInsulinLeukocyte CountLeukocytesMice, Inbred NODPhenotypeSpecies SpecificityTime FactorsAutoantibodiesBiomarkersInsulin

Identifiers

PMID26966692
PMCPMC4757706
OpenAlexW2278482918

What OpenQuestion holds

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Registered trials

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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.