Evidence map›Paper›PMID 34633450›Full record

Observational studyThe Journal of clinical endocrinology and metabolism2022

Dichotomy in the Impact of Elevated Maternal Glucose Levels on Neonatal Epigenome.

Ives Yubin Lim, Xinyi Lin, Ai Ling Teh, Yonghui Wu, Li Chen, Menglan He, Shiao-Yng Chan, Julia L MacIsaac, Jerry K Y Chan, Kok Hian Tan and 9 more

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in The Journal of clinical endocrinology and metabolism, 2022. 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
1.1field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Observational
  3. Article
  4. Methylome-wide studies of six metabolic traits.medRxiv : the preprint server for health sciences · 2024
    Article
  5. Dichotomy in the Impact of Elevated Maternal Glucose Levels on Neonatal Epigenome.The Journal of clinical endocrinology and metabolism · 2022
    Observational
  6. 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

19 authors at 6 institutions in 5 countries.

Ives Yubin LimSingapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore.
Xinyi LinSingapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore.
Ai Ling TehSingapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore.
Yonghui WuSingapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore.
Li ChenSingapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore.
Menglan HeDuke-NUS Medical School, 169857, Singapore.
Shiao-Yng ChanSingapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore.
Julia L MacIsaacCentre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, Child and Family Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC, V5Z 4H4, Canada.
Jerry K Y ChanKK Women's and Children's Hospital, 229899, Singapore.
Kok Hian TanKK Women's and Children's Hospital, 229899, Singapore.
Mary Foong Fong ChongSingapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore.ORCID 0000-0003-0587-2505
Michael S KoborCentre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, Child and Family Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC, V5Z 4H4, Canada.
Keith M GodfreyMRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD, UK.
Michael J MeaneySingapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore.
Yung Seng LeeSingapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore.
Johan G ErikssonSingapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore.
Peter D GluckmanSingapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore.
Yap Seng ChongSingapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore.
Neerja KarnaniSingapore Institute for Clinical Sciences (SICS), A*STAR, 117609, Singapore.ORCID 0000-0002-5301-409X
Agency for Science, Technology and Research · SGUniversity of British Columbia · CADuke-NUS Medical School · SGKK Women's and Children's Hospital · SGNational University of Singapore · SGUniversity Hospital Southampton NHS Foundation Trust · GB

Funding

British Heart Foundation RG/15/17/31749Department of Health 17/63/154Department of Health IS-BRC-1215-20004Department of Health NF-SI-0515-10042Medical Research Council G0400491Medical Research Council MC_PC_21000Medical Research Council MC_PC_21001Medical Research Council MC_PC_21003Medical Research Council MC_U147585819Medical Research Council MC_U147585827Medical Research Council MC_UP_A620_1014Medical Research Council MC_UP_A620_1015Medical Research Council MC_UU_12011/1Medical Research Council MC_UU_12011/4
6 · The paper itself

Abstract

contextAntenatal hyperglycemia is associated with increased risk of future adverse health outcomes in both mother and child. Variations in offspring's epigenome can reflect the impact and response to in utero glycemic exposure, and may have different consequences for the child.

objectiveWe examined possible differences in associations of basal glucose status and glucose handling during pregnancy with both clinical covariates and offspring cord tissue DNA methylation. RESEARCH DESIGN AND

methodsThis study included 830 mother-offspring dyads from the Growing Up in Singapore Towards Healthy Outcomes cohort. The fetal epigenome of umbilical cord tissue was profiled using Illumina HumanMethylation450 arrays. Associations of maternal mid-pregnancy fasting (fasting plasma glucose [FPG]) and 2-hour plasma glucose (2hPG) after a 75-g oral glucose challenge with both maternal clinical phenotypes and offspring epigenome at delivery were investigated separately.

resultsMaternal age, prepregnancy body mass index, and blood pressure measures were associated with both FPG and 2hPG, whereas Chinese ethnicity (P = 1.9 × 10-4), maternal height (P = 1.1 × 10-4), pregnancy weight gain (P = 2.2 × 10-3), prepregnancy alcohol consumption (P = 4.6 × 10-4), and tobacco exposure (P = 1.9 × 10-3) showed significantly opposite associations between the 2 glucose measures. Most importantly, we observed a dichotomy in the effects of these glycemic indices on the offspring epigenome. Offspring born to mothers with elevated 2hPG showed global hypomethylation. CpGs most associated with the 2 measures also reflected differences in gene ontologies and had different associations with offspring birthweight.

conclusionsOur findings suggest that 2 traditionally used glycemic indices for diagnosing gestational diabetes may reflect distinctive pathophysiologies in pregnancy, and have differential impacts on the offspring's DNA methylome.

Indexed as

EpigenomeAdultBlood GlucoseBody Mass IndexCpG IslandsDiabetes, GestationalDNA MethylationEpigenesis, GeneticFastingFemaleHumansInfant, NewbornMaleMaternal AgePregnancyPrenatal Exposure Delayed EffectsBlood Glucose2h oral glucose tolerance testDNA methylationepigenome wide association studyfasting plasma glucosegestational diabetes

Identifiers

PMID34633450
PMCPMC8852163
OpenAlexW3207836505

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.