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Maternal Non-glycemic Contributors to Fetal Growth in Obesity and Gestational Diabetes: Spotlight on Lipids

Overview of attention for article published in Current Diabetes Reports, May 2018
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Title
Maternal Non-glycemic Contributors to Fetal Growth in Obesity and Gestational Diabetes: Spotlight on Lipids
Published in
Current Diabetes Reports, May 2018
DOI 10.1007/s11892-018-1008-2
Pubmed ID
Authors

Linda A. Barbour, Teri L. Hernandez

Abstract

Excess fetal growth is increasingly recognized as a risk factor for childhood obesity, and mounting evidence supports that maternal glucose is not the only driver. This review focuses on the role of clinically applicable maternal non-glycemic contributors to excess fetal growth, particularly lipids, in addition to amino acids (AA), insulin resistance, inflammation, maternal nutrition, and gestational weight gain (GWG) in obesity and gestational diabetes mellitus (GDM). Lipids, specifically triglycerides and free fatty acids, appear to be strong contributors to excess fetal fat accretion and adiposity at birth, particularly in obese pregnancies, which account for the largest number of large-for-gestational-age infants. Maternal pre-pregnancy body mass index (BMI), GWG, insulin resistance, inflammation, and glucose, lipid, and AA concentrations have both independent and interacting effects on fetal growth, operating both early and late in pregnancy. All are sensitive to maternal nutrition. Early vs. later gestational exposure to excess maternal fuels in fasting and postprandial conditions may differentially impact fetoplacental outcomes. Compelling evidence suggests that targeting interventions early in pregnancy beyond glucose may be critical to improve fetal growth patterns.

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The data shown below were collected from the profile of 1 X user 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 16%
Student > Ph. D. Student 11 13%
Student > Bachelor 11 13%
Researcher 6 7%
Other 6 7%
Other 15 18%
Unknown 20 24%
Readers by discipline Count As %
Medicine and Dentistry 20 24%
Nursing and Health Professions 13 16%
Biochemistry, Genetics and Molecular Biology 7 9%
Agricultural and Biological Sciences 3 4%
Arts and Humanities 2 2%
Other 11 13%
Unknown 26 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 January 2019.
All research outputs
#20,946,541
of 23,576,969 outputs
Outputs from Current Diabetes Reports
#948
of 1,024 outputs
Outputs of similar age
#289,490
of 328,349 outputs
Outputs of similar age from Current Diabetes Reports
#24
of 24 outputs
Altmetric has tracked 23,576,969 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,024 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.