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Dietary Fatty Acid Composition Modulates Obesity and Interacts with Obesity‐Related Genes

Overview of attention for article published in Lipids, September 2017
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  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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75 Mendeley
Title
Dietary Fatty Acid Composition Modulates Obesity and Interacts with Obesity‐Related Genes
Published in
Lipids, September 2017
DOI 10.1007/s11745-017-4291-9
Pubmed ID
Authors

Shatha S. Hammad, Peter J. Jones

Abstract

The prevalence of obesity is skyrocketing worldwide. The scientific evidence has associated obesity risk with many independent factors including the quality of dietary fat and genetics. Dietary fat exists as the main focus of dietary guidelines targeting obesity reduction. To prevent/minimize the adipogenic effect of dietary fatty acids (FA), intakes of long-chain saturated- and trans-FA should be reduced and substituted with unsaturated FA. The optimal proportions of dietary unsaturated FA are yet to be defined, along with a particular emphasis on the need to achieve a balanced ratio of n-3:n-6 polyunsaturated FA and to increase monounsaturated FA consumption at the expense of saturated FA. However, inter-individual variability in weight loss in response to a dietary intervention is evident, which highlights the importance of exploring gene-nutrient interactions that can further modulate the risk for obesity development. The quality of dietary fat was found to modulate obesity development by interacting with genes involved in fatty acid metabolism, adipogenesis, and the endocannabinoid system. This review summarizes the current knowledge on the effect of the quality of dietary fat on obesity phenotype and obesity-related genes. The evidence is not only supporting the modulatory effect of fat quality on obesity development but also presenting a number of interactions between obesity-related genes and the quality of dietary fat. The identified gene-FA interaction may have a clinical importance and holds a promise for the possibility of using genetically targeted dietary interventions to reduce obesity risk in the future.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 15%
Student > Master 10 13%
Student > Doctoral Student 7 9%
Researcher 7 9%
Student > Bachelor 6 8%
Other 12 16%
Unknown 22 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 17%
Biochemistry, Genetics and Molecular Biology 7 9%
Nursing and Health Professions 7 9%
Medicine and Dentistry 5 7%
Sports and Recreations 4 5%
Other 17 23%
Unknown 22 29%
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 26 October 2017.
All research outputs
#14,081,725
of 23,002,898 outputs
Outputs from Lipids
#1,504
of 1,909 outputs
Outputs of similar age
#169,164
of 316,227 outputs
Outputs of similar age from Lipids
#7
of 15 outputs
Altmetric has tracked 23,002,898 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,909 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. 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 316,227 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 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 53% of its contemporaries.