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1H NMR Derived Metabolomic Profile of Neonatal Asphyxia in Umbilical Cord Serum: Implications for Hypoxic Ischemic Encephalopathy

Overview of attention for article published in Journal of Proteome Research, August 2013
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Mentioned by

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3 tweeters

Citations

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56 Dimensions

Readers on

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63 Mendeley
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1 CiteULike
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Title
1H NMR Derived Metabolomic Profile of Neonatal Asphyxia in Umbilical Cord Serum: Implications for Hypoxic Ischemic Encephalopathy
Published in
Journal of Proteome Research, August 2013
DOI 10.1021/pr400617m
Pubmed ID
Authors

Stacey N. Reinke, Brian H. Walsh, Geraldine B. Boylan, Brian D. Sykes, Louise C. Kenny, Deirdre M. Murray, David I. Broadhurst

Abstract

Neonatal hypoxic ischemic encephalopathy (HIE) is a severe consequence of perinatal asphyxia (PA) that can result in life-long neurological disability. Disease mechanisms, including the role and interaction of individual metabolic pathways, remain unclear. As hypoxia is an acute condition, aerobic energy metabolism is central to global metabolic pathways, and these metabolites are detectable using 1H NMR spectroscopy, we hypothesized that characterizing the NMR-derived umbilical cord serum metabolome would offer insight into the consequences of PA that lead to HIE. Fifty-nine at-risk infants were enrolled, together with 1:1 matched healthy controls, and stratified by disease severity (n=25, HIE; n=34, non-HIE PA). Eighteen of 37 reproducibly detectable metabolites were significantly altered between study groups. Acetone, 3-hydroxybutyrate, succinate, and glycerol were significantly differentially altered in severe HIE. Multivariate data analysis revealed a metabolite profile associated with both asphyxia and HIE. Multiple-linear regression modeling using 4 metabolites (3-hydroxybutyrate, glycerol, O-phosphocholine, and succinate) predicted HIE severity with an adjusted R2 of 0.4. Altered ketones suggest that systemic metabolism may play a critical role in preventing neurological injury, while altered succinate provides a possible explanation for hypoxia-inducible factor 1-α (HIF-1α) stabilization in HI injury.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
United States 1 2%
Unknown 61 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 17%
Student > Master 11 17%
Researcher 9 14%
Professor > Associate Professor 4 6%
Other 4 6%
Other 10 16%
Unknown 14 22%
Readers by discipline Count As %
Medicine and Dentistry 14 22%
Agricultural and Biological Sciences 9 14%
Biochemistry, Genetics and Molecular Biology 6 10%
Nursing and Health Professions 3 5%
Environmental Science 3 5%
Other 9 14%
Unknown 19 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 August 2013.
All research outputs
#13,335,908
of 21,347,688 outputs
Outputs from Journal of Proteome Research
#3,682
of 5,848 outputs
Outputs of similar age
#97,082
of 178,565 outputs
Outputs of similar age from Journal of Proteome Research
#32
of 97 outputs
Altmetric has tracked 21,347,688 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,848 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 32nd percentile – i.e., 32% 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 178,565 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.