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Maternal urinary metabolic signatures of fetal growth and associated clinical and environmental factors in the INMA study

Overview of attention for article published in BMC Medicine, November 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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19 news outlets
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11 X users
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1 Facebook page

Citations

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41 Dimensions

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118 Mendeley
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Title
Maternal urinary metabolic signatures of fetal growth and associated clinical and environmental factors in the INMA study
Published in
BMC Medicine, November 2016
DOI 10.1186/s12916-016-0706-3
Pubmed ID
Authors

Léa Maitre, Cristina M. Villanueva, Matthew R. Lewis, Jesús Ibarluzea, Loreto Santa-Marina, Martine Vrijheid, Jordi Sunyer, Muireann Coen, Mireille B. Toledano

Abstract

Maternal metabolism during pregnancy is a major determinant of the intra-uterine environment and fetal outcomes. Herein, we characterize the maternal urinary metabolome throughout pregnancy to identify maternal metabolic signatures of fetal growth in two subcohorts and explain potential sources of variation in metabolic profiles based on lifestyle and clinical data. We used (1)H nuclear magnetic resonance (NMR) spectroscopy to characterize maternal urine samples collected in the INMA birth cohort at the first (n = 412 and n = 394, respectively, in Gipuzkoa and Sabadell cohorts) and third trimesters of gestation (n = 417 and 469). Metabolic phenotypes that reflected longitudinal intra- and inter-individual variation were used to predict measures of fetal growth and birth weight. A metabolic shift between the first and third trimesters of gestation was characterized by (1)H NMR signals arising predominantly from steroid by-products. We identified 10 significant and reproducible metabolic associations in the third trimester with estimated fetal, birth, and placental weight in two independent subcohorts. These included branched-chain amino acids; isoleucine, valine, leucine, alanine and 3 hydroxyisobutyrate (metabolite of valine), which were associated with a significant fetal weight increase at week 34 of up to 2.4 % in Gipuzkoa (P < 0.005) and 1 % in Sabadell (P < 0.05). Other metabolites included pregnancy-related hormone by-products of estrogens and progesterone, and the methyl donor choline. We could explain a total of 48-53 % of the total variance in birth weight of which urine metabolites had an independent predictive power of 12 % adjusting for all other lifestyle/clinical factors. First trimester metabolic phenotypes could not predict reproducibly weight at later stages of development. Physical activity, as well as other modifiable lifestyle/clinical factors, such as coffee consumption, vitamin D intake, and smoking, were identified as potential sources of metabolic variation during pregnancy. Significant reproducible maternal urinary metabolic signatures of fetal growth and birth weight are identified for the first time and linked to modifiable lifestyle factors. This novel approach to prenatal screening, combining multiple risk factors, present a great opportunity to personalize pregnancy management and reduce newborn disease risk in later life.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Ethiopia 1 <1%
Unknown 116 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 24%
Student > Ph. D. Student 19 16%
Student > Bachelor 15 13%
Student > Master 11 9%
Other 5 4%
Other 15 13%
Unknown 25 21%
Readers by discipline Count As %
Medicine and Dentistry 36 31%
Biochemistry, Genetics and Molecular Biology 15 13%
Nursing and Health Professions 8 7%
Agricultural and Biological Sciences 8 7%
Sports and Recreations 5 4%
Other 17 14%
Unknown 29 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 154. 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 12 November 2016.
All research outputs
#250,148
of 24,410,160 outputs
Outputs from BMC Medicine
#215
of 3,764 outputs
Outputs of similar age
#5,099
of 316,185 outputs
Outputs of similar age from BMC Medicine
#8
of 72 outputs
Altmetric has tracked 24,410,160 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,764 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.0. This one has done particularly well, scoring higher than 94% 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 316,185 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.