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Metabolic Networks and Metabolites Underlie Associations Between Maternal Glucose During Pregnancy and Newborn Size at Birth

Overview of attention for article published in Diabetes, April 2016
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

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Title
Metabolic Networks and Metabolites Underlie Associations Between Maternal Glucose During Pregnancy and Newborn Size at Birth
Published in
Diabetes, April 2016
DOI 10.2337/db15-1748
Pubmed ID
Authors

Denise M. Scholtens, James R. Bain, Anna C. Reisetter, Michael J. Muehlbauer, Michael Nodzenski, Robert D. Stevens, Olga Ilkayeva, Lynn P. Lowe, Boyd E. Metzger, Christopher B. Newgard, William L. Lowe

Abstract

Maternal metabolites and metabolic networks underlying associations between maternal glucose during pregnancy and newborn birth weight and adiposity demand fuller characterization. We performed targeted and non-targeted gas-chromatography/mass-spectrometry metabolomics on maternal serum collected at fasting and 1-hour following Trutol consumption during an oral glucose tolerance test for 400 Northern European mothers at ∼28 weeks gestation in the Hyperglycemia and Adverse Pregnancy Outcome Study. Amino acids, fatty acids, acylcarnitines and products of lipid metabolism decreased and triglycerides increased following glucose ingestion during the OGTT. Analyses of individual metabolites indicated limited maternal glucose associations at fasting, but broader associations including amino acids, fatty acids, carbohydrates and lipids at 1-hour. Network analyses modeling metabolite correlations provided context for individual metabolite associations and elucidated collective associations of multiple classes of metabolic fuels with newborn size and adiposity, including acylcarnitines, fatty acids, carbohydrates and organic acids. Random forest analyses indicated improved ability to predict newborn size outcomes using maternal metabolomics data beyond traditional risk factors including maternal glucose. Broad scale association of fuel metabolites with maternal glucose is evident during pregnancy, with unique maternal metabolites potentially contributing specifically to newborn birth weight and adiposity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 78 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 23%
Researcher 13 16%
Student > Master 11 14%
Student > Postgraduate 6 8%
Professor 4 5%
Other 11 14%
Unknown 16 20%
Readers by discipline Count As %
Medicine and Dentistry 22 28%
Agricultural and Biological Sciences 12 15%
Nursing and Health Professions 7 9%
Biochemistry, Genetics and Molecular Biology 4 5%
Social Sciences 3 4%
Other 9 11%
Unknown 22 28%
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 23 June 2016.
All research outputs
#12,951,096
of 22,860,626 outputs
Outputs from Diabetes
#6,669
of 9,210 outputs
Outputs of similar age
#138,326
of 300,859 outputs
Outputs of similar age from Diabetes
#106
of 118 outputs
Altmetric has tracked 22,860,626 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,210 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 300,859 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 53% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.