Evidence map›Paper›PMID 36138412›Full record

ArticleBMC medicine2022

Epigenetic and transcriptomic alterations in offspring born to women with type 1 diabetes (the EPICOM study).

Sine Knorr, Anne Skakkebæk, Jesper Just, Emma B Johannsen, Christian Trolle, Søren Vang, Zuzana Lohse, Birgitte Bytoft, Peter Damm, Kurt Højlund and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Sine KnorrSteno Diabetes Center Aarhus, Aarhus University Hospital, Hedeager 3, 2. fl, 8200, Aarhus, DK, Denmark. sine.knorr@clin.au.dk.ORCID 0000-0001-6552-5340
Anne SkakkebækDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Jesper JustDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Emma B JohannsenDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Christian TrolleDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Søren VangDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Zuzana LohseSteno Diabetes Center Odense, Odense University Hospital, Odense, Denmark.
Birgitte BytoftCenter for Pregnant Women with Diabetes, Department of Obstetrics, Rigshospitalet, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
Peter DammCenter for Pregnant Women with Diabetes, Department of Obstetrics, Rigshospitalet, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
Kurt HøjlundSteno Diabetes Center Odense, Odense University Hospital, Odense, Denmark.
Dorte M JensenSteno Diabetes Center Odense, Odense University Hospital, Odense, Denmark.
Claus H GravholtDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Aarhus University Hospital · DKSteno Diabetes Centers · DKUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOffspring born to women with pregestational type 1 diabetes (T1DM) are exposed to an intrauterine hyperglycemic milieu and has an increased risk of metabolic disease later in life. In this present study, we hypothesize that in utero exposure to T1DM alters offspring DNA methylation and gene expression, thereby altering their risk of future disease.

methodsFollow-up study using data from the Epigenetic, Genetic and Environmental Effects on Growth, Metabolism and Cognitive Functions in Offspring of Women with Type 1 Diabetes (EPICOM) collected between 2012 and 2013.

settingExploratory sub-study using data from the nationwide EPICOM study.

participantsAdolescent offspring born to women with T1DM (n=20) and controls (n=20) matched on age, sex, and postal code.

main outcome measuresThis study investigates DNA methylation using the 450K-Illumina Infinium assay and RNA expression (RNA sequencing) of leucocytes from peripheral blood samples.

resultsWe identified 9 hypomethylated and 5 hypermethylated positions (p < 0.005, |ΔM-value| > 1) and 38 up- and 1 downregulated genes (p < 0.005, log2FC ≥ 0.3) in adolescent offspring born to women with T1DM compared to controls. None of these findings remained significant after correction for multiple testing. However, we identified differences in gene co-expression networks, which could be of biological significance, using weighted gene correlation network analysis. Interestingly, one of these modules was significantly associated with offspring born to women with T1DM. Functional enrichment analysis, using the identified changes in methylation and gene expression as input, revealed enrichment in disease ontologies related to diabetes, carbohydrate and glucose metabolism, pathways including MAPK1/MAPK3 and MAPK family signaling, and genes related to T1DM, obesity, atherosclerosis, and vascular pathologies. Lastly, by integrating the DNA methylation and RNA expression data, we identified six genes where relevant methylation changes corresponded with RNA expression (CIITA, TPM1, PXN, ST8SIA1, LIPA, DAXX).

conclusionsThese findings suggest the possibility for intrauterine exposure to maternal T1DM to impact later in life methylation and gene expression in the offspring, a profile that may be linked to the increased risk of vascular and metabolic disease later in life.

Indexed as

Diabetes Mellitus, Type 1AdolescentCarbohydratesDNA MethylationEpigenesis, GeneticFemaleFollow-Up StudiesGlucoseHumansRNATranscriptomeCarbohydratesGlucoseRNAEpigeneticsMethylationPregnancyTranscriptomeType 1 diabetes

Identifiers

PMID36138412
PMCPMC9503228
OpenAlexW4296804068

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.