Evidence map›Paper›PMID 40834241›Full record

ArticleDiabetes2025

DNA Methylation Biomarkers Predict Offspring Metabolic Risk From Mothers With Hyperglycemia in Pregnancy.

Johnny Assaf, Ishant Khurana, Ram Abou Zaki, Claudia H T Tam, Ilana Correa, Scott Maxwell, Julie Kinnberg, Malou Christiansen, Caroline Frørup, Heung Man Lee and 14 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Extrachromosomal Circular DNA and Transposable Elements in Type 2 Diabetes.International journal of molecular sciences · 2025
    Review
  6. Editorial: Neglected nuances in gestational diabetes.Frontiers in clinical diabetes and healthcare · 2025
    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

24 authors.

Johnny AssafEpigenetics in Human Health and Disease Program, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Ishant KhuranaEpigenetics in Human Health and Disease Program, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Ram Abou ZakiEpigenetics in Human Health and Disease Program, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Claudia H T TamDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.ORCID 0000-0002-9169-0013
Ilana CorreaEpigenetics in Human Health and Disease Program, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Scott MaxwellEpigenetics in Human Health and Disease Program, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.ORCID 0000-0002-7801-0714
Julie KinnbergEpigenetics in Human Health and Disease Program, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Malou ChristiansenEpigenetics in Human Health and Disease Program, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Caroline FrørupEpigenetics in Human Health and Disease Program, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Heung Man LeeDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
Harikrishnan KaipananickalEpigenetics in Human Health and Disease Program, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Jun OkabeEpigenetics in Human Health and Disease Program, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Safiya Naina MarikarEpigenetics in Human Health and Disease Program, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.
Kwun Kiu WongDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
Cadmon K P LimDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
Lai Yuk YuenDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
Xilin YangDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.ORCID 0000-0002-9462-7992
Chi Chiu WangDepartment of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.ORCID 0000-0002-3928-7278
Juliana C N ChanDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.ORCID 0000-0003-1325-1194
Kevin Y L YipDepartment of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
William L LoweCenter for Diabetes and Metabolism, Feinberg School of Medicine, Northwestern University, Chicago, IL.ORCID 0000-0001-9467-3422
Wing Hung TamDepartment of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.ORCID 0000-0003-1189-740X
Ronald C W MaDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.ORCID 0000-0002-1227-803X
Assam El-OstaEpigenetics in Human Health and Disease Program, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia.ORCID 0000-0001-7968-7375

Funding

Health and Medical Research Fund 18190741Juvenile Diabetes Research Foundation Australia 3-SRA-2024-1593-A-NNational Health and Medical Research Council APP1154650National Health and Medical Research Council APP2014763RGC General Research Fund 14102719RGC General Research Fund 14118718
6 · The paper itself

Abstract

article highlightsMaternal hyperglycemia is linked to 19 cord blood DNA methylation biomarkers that predict offspring metabolic dysfunction. These methylation changes, associated with maternal glycemic status, improved the prediction of β-cell dysfunction at 7, 11, and 18 years of age compared with clinical factors alone. Validation in human β-cells and pancreatic ductal epithelial cells confirmed that hyperglycemia influences methylation-dependent gene expression. These findings highlight the role of epigenetic modifications at birth as early indicators of diabetes risk, suggesting that in utero hyperglycemic exposure may mediate long-term metabolic outcomes in offspring.

Indexed as

Diabetes, GestationalDNA MethylationHyperglycemiaPrenatal Exposure Delayed EffectsAdolescentAdultBiomarkersChildEpigenesis, GeneticFemaleFetal BloodHumansInsulin-Secreting CellsPregnancyBiomarkers

Identifiers

PMID40834241
PMCPMC12365412

What Socratic holds

Textmetadata
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 Socratic graph.