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Metabolites Associated With Lean Mass and Adiposity in Older Black Men

Overview of attention for article published in Journals of Gerontology Series A: Biological Sciences & Medical Sciences, January 2017
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Title
Metabolites Associated With Lean Mass and Adiposity in Older Black Men
Published in
Journals of Gerontology Series A: Biological Sciences & Medical Sciences, January 2017
DOI 10.1093/gerona/glw245
Pubmed ID
Authors

Rachel A Murphy, Steven C Moore, Mary Playdon, Osorio Meirelles, Anne B Newman, Iva Milijkovic, Stephen B Kritchevsky, Ann Schwartz, Bret H Goodpaster, Joshua Sampson, Peggy Cawthon, Eleanor M Simonsick, Robert E Gerszten, Clary B Clish, Tamara B Harris, for the Health ABC Study

Abstract

To identify biomarkers of body mass index, body fat, trunk fat, and appendicular lean mass, nontargeted metabolomics was performed in plasma from 319 black men in the Health, Aging and Body Composition study (median age 72 years, median body mass index 26.8 kg/m(2)). Body mass index was calculated from measured height and weight; percent fat, percent trunk fat, and appendicular lean mass were measured with dual-energy x-ray absorptiometry. Pearson partial correlations between body composition measures and metabolites were adjusted for age, study site, and smoking. Out of 350 metabolites, body mass index, percent fat, percent trunk fat, and appendicular lean mass were significantly correlated with 92, 48, 96, and 43 metabolites at p less than .0014. Metabolites most strongly correlated with body composition included carnitine, a marker of fatty acid oxidation (positively correlated), triacylglycerols (positively correlated), and amino acids including branched-chain amino acids (positively correlated except for acetylglycine and serine). Gaussian Graphical Models of metabolites found that 25 lipid metabolites clustered into a single network. Groups of five amino acids, three plasmalogens, and two carnitines were also observed. Findings confirm prior reports of associations between amino acids, lean mass, and fat mass in addition to associations not previously reported. Future studies should consider whether these metabolites are relevant for metabolic disease processes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 24%
Researcher 6 12%
Student > Postgraduate 4 8%
Student > Bachelor 3 6%
Professor 3 6%
Other 10 20%
Unknown 13 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 20%
Medicine and Dentistry 9 18%
Agricultural and Biological Sciences 4 8%
Nursing and Health Professions 2 4%
Psychology 2 4%
Other 8 16%
Unknown 16 31%
Attention Score in Context

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 23 January 2017.
All research outputs
#16,048,318
of 25,377,790 outputs
Outputs from Journals of Gerontology Series A: Biological Sciences & Medical Sciences
#2,972
of 3,967 outputs
Outputs of similar age
#242,247
of 422,339 outputs
Outputs of similar age from Journals of Gerontology Series A: Biological Sciences & Medical Sciences
#35
of 45 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,967 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one is in the 20th percentile – i.e., 20% 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 422,339 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.