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

Overview of attention for article published in Clinical Epigenetics, June 2016
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)

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Title
PPARGC1α gene DNA methylation variations in human placenta mediate the link between maternal hyperglycemia and leptin levels in newborns
Published in
Clinical Epigenetics, June 2016
DOI 10.1186/s13148-016-0239-9
Pubmed ID
Authors

Sandra Côté, Valérie Gagné-Ouellet, Simon-Pierre Guay, Catherine Allard, Andrée-Anne Houde, Patrice Perron, Jean-Patrice Baillargeon, Daniel Gaudet, Renée Guérin, Diane Brisson, Marie-France Hivert, Luigi Bouchard

Abstract

Children 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. DNA 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. We 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). These 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 21%
Student > Bachelor 16 17%
Student > Master 15 16%
Researcher 7 7%
Student > Doctoral Student 6 6%
Other 16 17%
Unknown 16 17%
Readers by discipline Count As %
Medicine and Dentistry 27 28%
Biochemistry, Genetics and Molecular Biology 24 25%
Nursing and Health Professions 9 9%
Agricultural and Biological Sciences 5 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 8 8%
Unknown 20 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 August 2016.
All research outputs
#7,485,442
of 22,879,161 outputs
Outputs from Clinical Epigenetics
#555
of 1,259 outputs
Outputs of similar age
#124,366
of 352,770 outputs
Outputs of similar age from Clinical Epigenetics
#21
of 26 outputs
Altmetric has tracked 22,879,161 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,259 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 352,770 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.