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Blood Metabolic Signatures of Body Mass Index: A Targeted Metabolomics Study in the EPIC Cohort

Overview of attention for article published in Journal of Proteome Research, August 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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Title
Blood Metabolic Signatures of Body Mass Index: A Targeted Metabolomics Study in the EPIC Cohort
Published in
Journal of Proteome Research, August 2017
DOI 10.1021/acs.jproteome.6b01062
Pubmed ID
Authors

Marion Carayol, Michael F. Leitzmann, Pietro Ferrari, Raul Zamora-Ros, David Achaintre, Magdalena Stepien, Julie A. Schmidt, Ruth C. Travis, Kim Overvad, Anne Tjønneland, Louise Hansen, Rudolf Kaaks, Tilman Kühn, Heiner Boeing, Ursula Bachlechner, Antonia Trichopoulou, Christina Bamia, Domenico Palli, Claudia Agnoli, Rosario Tumino, Paolo Vineis, Salvatore Panico, J. Ramón Quirós, Emilio Sánchez-Cantalejo, José María Huerta, Eva Ardanaz, Larraitz Arriola, Antonio Agudo, Jan Nilsson, Olle Melander, Bas Bueno-de-Mesquita, Petra H. Peeters, Nick Wareham, Kay-Tee Khaw, Mazda Jenab, Timothy J. Key, Augustin Scalbert, Sabina Rinaldi

Abstract

Metabolomic is now widely used to characterize metabolic phenotypes associated with lifestyle risk factors such as obesity. The objective of the present study was to explore the associations of body mass index (BMI) with 145 metabolites measured in blood samples in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Metabolites were measured in blood from 392 men from the Oxford (UK) cohort (EPIC-Oxford) and in 327 control subjects who were part of a nested case-control study on hepatobiliary carcinomas (EPIC-Hepatobiliary). Measured metabolites included amino acids, acylcarnitines, hexoses, biogenic amines, phosphatidylcholines, and sphingomyelins. Linear regression models controlled for potential confounders and multiple testing were run to evaluate the associations of metabolite concentrations with BMI. Forty and 45 individual metabolites showed significant differences according to BMI variations, in the EPIC-Oxford and EPIC-Hepatobiliary sub-cohorts, respectively. Twenty two individual metabolites were associated with BMI in both sub-cohorts including kynurenine, one sphingomyelin, glutamate and 19 phosphatidylcholines. The present findings provide additional knowledge on blood metabolic signatures of BMI in European adults, which may help identifying mechanisms mediating the relationship of BMI with obesity-related diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 21%
Student > Ph. D. Student 10 10%
Student > Master 8 8%
Student > Bachelor 8 8%
Professor 7 7%
Other 16 17%
Unknown 27 28%
Readers by discipline Count As %
Medicine and Dentistry 22 23%
Biochemistry, Genetics and Molecular Biology 13 14%
Agricultural and Biological Sciences 9 9%
Nursing and Health Professions 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 15 16%
Unknown 31 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 18 May 2018.
All research outputs
#3,687,677
of 24,903,209 outputs
Outputs from Journal of Proteome Research
#1,025
of 6,353 outputs
Outputs of similar age
#64,460
of 323,688 outputs
Outputs of similar age from Journal of Proteome Research
#16
of 112 outputs
Altmetric has tracked 24,903,209 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,353 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 83% 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 323,688 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.