Evidence map›Paper›PMID 27340502›Full record

ArticleClinical epigenetics2016

PPARGC1α gene DNA methylation variations in human placenta mediate the link between maternal hyperglycemia and leptin levels in newborns.

Sandra Côté, Valérie Gagné-Ouellet, Simon-Pierre Guay, Catherine Allard, Andrée-Anne Houde, Patrice Perron, Jean-Patrice Baillargeon, Daniel Gaudet, Renée Guérin, Diane Brisson and 2 more

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
6.8field-weighted citation impact, top 3% 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

53 citing papers in PubMed, 100 citations in OpenAlex.

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  15. Multigenerational diabetes mellitus.Frontiers in endocrinology · 2023
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  17. Dichotomy in the Impact of Elevated Maternal Glucose Levels on Neonatal Epigenome.The Journal of clinical endocrinology and metabolism · 2022
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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 4 institutions in 1 country.

Sandra Côté *Department of Biochemistry, Université de Sherbrooke, Sherbrooke, QC Canada.
Valérie Gagné-Ouellet *Department of Biochemistry, Université de Sherbrooke, Sherbrooke, QC Canada.
Simon-Pierre GuayDepartment of Biochemistry, Université de Sherbrooke, Sherbrooke, QC Canada.
Catherine AllardDepartment of Mathematics, Université de Sherbrooke, Sherbrooke, QC Canada.
Andrée-Anne HoudeDepartment of Biochemistry, Université de Sherbrooke, Sherbrooke, QC Canada.
Patrice PerronECOGENE-21 Laboratory and Lipid Clinic, CIUSSS du Saguenay-Lac-Saint-Jean - Hôpital de Chicoutimi, Saguenay, QC Canada.
Jean-Patrice BaillargeonDepartment of Medicine, Université de Sherbrooke, Sherbrooke, QC Canada.
Daniel GaudetECOGENE-21 Laboratory and Lipid Clinic, CIUSSS du Saguenay-Lac-Saint-Jean - Hôpital de Chicoutimi, Saguenay, QC Canada.
Renée GuérinDepartment of Medical Biology, Chicoutimi Hospital, Saguenay, QC Canada.
Diane BrissonECOGENE-21 Laboratory and Lipid Clinic, CIUSSS du Saguenay-Lac-Saint-Jean - Hôpital de Chicoutimi, Saguenay, QC Canada.
Marie-France HivertDepartment of Medicine, Université de Sherbrooke, Sherbrooke, QC Canada.
Luigi BouchardDepartment of Biochemistry, Université de Sherbrooke, Sherbrooke, QC Canada.
Université de Sherbrooke · CACentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean · CACégep de Chicoutimi · CAUniversité de Montréal · CA

Funding

Canadian Institutes of Health Research CTP-82941Canadian Institutes of Health Research MOP - 115071
6 · The paper itself

Abstract

backgroundChildren exposed to gestational diabetes mellitus (GDM) are at a higher risk of developing obesity and type 2 diabetes. This susceptibility might involve brown adipose tissue (BAT), which is suspected to protect against obesity. The objective of this study is to assess whether fetal exposure to maternal hyperglycemia is associated with DNA methylation variations in genes involved in BAT genesis and activation.

methodsDNA methylation levels at the PRDM16, BMP7, CTBP2, and PPARGC1α gene loci were measured in placenta samples using bisulfite pyrosequencing in E-21 (n = 133; 33 cases of GDM) and the HumanMethylation450 array in Gen3G (n = 172, all from non-diabetic women) birth cohorts. Glucose tolerance was assessed in all women using an oral glucose tolerance test at the second trimester of pregnancy. Participating women were extensively phenotyped throughout pregnancy, and placenta and cord blood samples were collected at birth.

resultsWe report that maternal glycemia at the second and third trimester of pregnancy are correlated with variations in DNA methylation levels at PRDM16, BMP7, and PPARGC1α and with cord blood leptin levels. Variations in PRDM16 and PPARGC1α DNA methylation levels were also correlated with cord blood leptin levels. Mediation analyses support that DNA methylation variations at the PPARGC1α gene locus explain 0.8 % of the cord blood leptin levels variance independently of maternal fasting glucose levels (p = 0.05).

conclusionsThese results suggest that maternal glucose in pregnancy could produce variations in DNA methylation in BAT-related genes and that some of these DNA methylation marks seem to mediate the impact of maternal glycemia on cord blood leptin levels, an adipokine regulating body weight.

Indexed as

DNA MethylationAdultDiabetes, GestationalEpigenesis, GeneticFemaleFetal BloodGlucose Tolerance TestHumansInfant, NewbornLeptinPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaPlacentaPregnancyPregnancy TrimestersLeptinPeroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alphaPPARGC1A protein, humanBrown adipose tissueEpigeneticsGestational diabetes mellitusHyperglycemiaPregnancy

Identifiers

PMID27340502
PMCPMC4918074
OpenAlexW2463358284

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.