Evidence map›Paper›PMID 40113970›Full record

ArticleGenes and immunity2025

Age-dependent gene expression trajectories during early childhood in children at increased risk for type 1 diabetes.

Ivo Zeller, Andreas Weiss, Sandra Hummel, Anette-Gabriele Ziegler, Ezio Bonifacio

Abstract read
In one paragraph

Article in Genes and immunity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. 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

5 authors.

Ivo ZellerInstitute of Diabetes Research, Helmholtz Munich, German Center for Environmental Health, Munich, Germany.
Andreas WeissInstitute of Diabetes Research, Helmholtz Munich, German Center for Environmental Health, Munich, Germany.
Sandra HummelInstitute of Diabetes Research, Helmholtz Munich, German Center for Environmental Health, Munich, Germany.
Anette-Gabriele ZieglerInstitute of Diabetes Research, Helmholtz Munich, German Center for Environmental Health, Munich, Germany.
Ezio BonifacioTechnische Universität Dresden, Center for Regenerative Therapies Dresden, Dresden, Germany. ezio.bonifacio@tu-dresden.de.ORCID 0000-0002-8704-4713

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) DFG ZI-310/14-1 to -4Deutsche Forschungsgemeinschaft (German Research Foundation) DFG ZI-310/14-4Novo Nordisk NNF22SA0081044Novo Nordisk Fonden (Novo Nordisk Foundation) NNF22SA0081044
6 · The paper itself

Abstract

Early childhood is a period of rapid growth and immune system development. It is also critical for type 1 diabetes (T1D) autoimmunity, which has a peak incidence between 1 and 2 years of age. Here, we investigated age-related longitudinal gene expression changes in peripheral blood mononuclear cells from children aged 3 months to 3 years who had an increased genetic risk for T1D, aiming to delineate gene expression trajectories and identify patterns potentially linked to the development of islet autoimmunity. We found 2 432 genes (12.5% of analyzed genes) to exhibit significant temporal dynamics in the first 3 years of life. These genes were grouped into six major clusters each demonstrating distinct expression trajectories of consistent increase or decrease with age, as well as U-shaped, and inverted U-shaped age-related patterns. Notably, genes in clusters with U-shaped expression trajectories, which mirrored the incidence of islet autoantibodies, were enriched for T1D susceptibility genes, particularly within the Major Histocompatibility Complex (MHC) region. This study underscores the dynamic nature of gene expression in early childhood and its potential connection to T1D risk.

Indexed as

Diabetes Mellitus, Type 1Age FactorsAutoimmunityChild, PreschoolFemaleGenetic Predisposition to DiseaseHumansInfantLeukocytes, MononuclearMale

Identifiers

PMID40113970
PMCPMC12006016

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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.