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Developmental origins of the human hypothalamic-pituitary-adrenal axis

Overview of attention for article published in Expert Review of Endocrinology & Metabolism, August 2017
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Title
Developmental origins of the human hypothalamic-pituitary-adrenal axis
Published in
Expert Review of Endocrinology & Metabolism, August 2017
DOI 10.1080/17446651.2017.1356222
Pubmed ID
Authors

Mariann A. Howland, Curt A. Sandman, Laura M. Glynn

Abstract

The developmental origins of disease or fetal programming model predicts that intrauterine exposures have life long consequences for physical and psychological health. Prenatal programming of the fetal hypothalamic-pituitary-adrenal (HPA) axis is proposed as a primary mechanism by which early experiences are linked to later disease risk. Areas covered: This review describes the development of the fetal HPA axis, which is determined by an intricately timed cascade of endocrine events during gestation and is regulated by an integrated maternal-placental-fetal steroidogenic unit. Mechanisms by which stress-induced elevations in hormones of maternal, fetal, or placental origin influence the structure and function of the emerging fetal HPA axis are discussed. Recent prospective studies documenting persisting associations between prenatal stress exposures and altered postnatal HPA axis function are summarized, with effects observed beginning in infancy into adulthood. Expert commentary: The results of these studies are synthesized, and potential moderating factors are discussed. Promising areas of further research highlighted include epigenetic mechanisms and interactions between pre and postnatal influences.

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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 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 153 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 21%
Student > Bachelor 18 12%
Student > Master 16 10%
Student > Doctoral Student 13 8%
Researcher 10 7%
Other 20 13%
Unknown 44 29%
Readers by discipline Count As %
Medicine and Dentistry 24 16%
Psychology 22 14%
Neuroscience 11 7%
Agricultural and Biological Sciences 9 6%
Biochemistry, Genetics and Molecular Biology 8 5%
Other 27 18%
Unknown 52 34%
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 01 August 2018.
All research outputs
#20,441,465
of 22,996,001 outputs
Outputs from Expert Review of Endocrinology & Metabolism
#268
of 293 outputs
Outputs of similar age
#277,089
of 317,618 outputs
Outputs of similar age from Expert Review of Endocrinology & Metabolism
#4
of 4 outputs
Altmetric has tracked 22,996,001 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 293 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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