Evidence map›Paper›PMID 41743545›Full record

ArticleFrontiers in endocrinology2026

Infants exposed to maternal type 1 diabetes: intrauterine epigenetic modifications and neurological development.

Nieves Luisa González-González, Enrique González-Dávila, José Ramón Castro-Conde, Candelaria González-Campos, Olivia Orribo-Morales, Carlos Flores, José Miguel Lorenzo-Salazar, Rafaela González-Montelongo, Adrián Muñoz-Barrera, Erika Padrón-Pérez and 4 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Nieves Luisa González-González *Obstetrics and Gynecology Department, Facultad de Ciencias de la Salud, Sección de Medicina. University of La Laguna (ULL), San Cristóbal de La Laguna, Tenerife, Spain.
Enrique González-Dávila *Mathematics, Statistics and Operations Research Department, IMAULL. University of La Laguna (ULL), San Cristóbal de La Laguna, Tenerife, Spain.
José Ramón Castro-CondeObstetrics and Gynecology Department, Facultad de Ciencias de la Salud, Sección de Medicina. University of La Laguna (ULL), San Cristóbal de La Laguna, Tenerife, Spain.
Candelaria González-CamposObstetrics and Gynecology Department, Facultad de Ciencias de la Salud, Sección de Medicina. University of La Laguna (ULL), San Cristóbal de La Laguna, Tenerife, Spain.
Olivia Orribo-MoralesObstetrics and Gynecology Department, Facultad de Ciencias de la Salud, Sección de Medicina. University of La Laguna (ULL), San Cristóbal de La Laguna, Tenerife, Spain.
Carlos FloresResearch Unit, Hospital Universitario Ntra. Sra. de Candelaria, Instituto de Investigación Sanitaria de Canarias (IISC), Santa Cruz de Tenerife, Spain.
José Miguel Lorenzo-SalazarGenomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain.
Rafaela González-MontelongoGenomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain.
Adrián Muñoz-BarreraGenomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain.
Erika Padrón-PérezObstetrics and Gynecology Department, Facultad de Ciencias de la Salud, Sección de Medicina. University of La Laguna (ULL), San Cristóbal de La Laguna, Tenerife, Spain.
Nazaret Villalba-MartínObstetrics and Gynecology Department, Facultad de Ciencias de la Salud, Sección de Medicina. University of La Laguna (ULL), San Cristóbal de La Laguna, Tenerife, Spain.
Abraham Acevedo-ArozenaResearch Unit, Hospital Universitario de Canarias, ITB-ULL and CIBERNED, San Cristóbal de La Laguna, Tenerife, Spain.
Laura Tascón-PadrónDepartment of Obstetrics and Prenatal Medicine, University Hospital Bonn, Bonn, Germany.
Marina Armas-González *Obstetrics and Gynecology Department, Facultad de Ciencias de la Salud, Sección de Medicina. University of La Laguna (ULL), San Cristóbal de La Laguna, Tenerife, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The relationship between the neurodevelopment in infants exposed to maternal Type-1 diabetes and changes in fetal DNA methylation has not yet been investigated. Aim: This hypothesis-generating study, we aimed to determine whether neurodevelopmental outcomes in offspring from mothers with Type-1 diabetes are associated with intrauterine epigenetic changes in fetal DNA. Material and Methods: We conducted a prospective, pilot case-control study, comparing infants exposed to maternal Type-1-diabetes with control infants. Cord blood DNA samples were analyzed using the TruSeq-Methyl-Capture-EPIC-Kit, covering over 3.3 million CpGs. The Bayley-III Scales were used to assess infant neurodevelopment, and the scores were correlated with the newborn DNA methylation data. Results: In infants exposed to maternal diabetes, we identified 108 differentially methylated genes enriched in pathways crucial for neurodevelopment: Vocal, Imitative and Observational Learning, Synapse Organization, and Neurogenesis. The greatest methylation differences were observed in differentially methylated regions (DMRs) annotated to key neurological genes: Conclusions: While further confirmation is needed, we provide the first results supporting the hypothesis that neurodevelopmental alterations observed in offspring of mothers with Type-1 diabetes are potentially associated with DNA methylation changes during intrauterine life which can be identified at birth.

Indexed as

cord bloodDNAepigeneticgenematernal diabetesmethylationneurodevelopmenttype 1 diabetes

Identifiers

PMID41743545
PMCPMC12929157

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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.