↓ Skip to main content

Differences in partitioning of meal fatty acids into blood lipid fractions: a comparison of linoleate, oleate, and palmitate

Overview of attention for article published in American Journal of Physiology: Endocrinology & Metabolism, October 2008
Altmetric Badge

Mentioned by

twitter
3 X users

Readers on

mendeley
58 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Differences in partitioning of meal fatty acids into blood lipid fractions: a comparison of linoleate, oleate, and palmitate
Published in
American Journal of Physiology: Endocrinology & Metabolism, October 2008
DOI 10.1152/ajpendo.90730.2008
Pubmed ID
Authors
Abstract

There has been much interest in the health effects of dietary fat, but few studies have comprehensively compared the acute metabolic fate of specific fatty acids in vivo. We hypothesized that different classes of fatty acids would be variably partitioned in metabolic pathways and that this would become evident over 24 h. We traced the fate of fatty acids using equal amounts of [U-(13)C]linoleate, [U-(13)C]oleate, and [U-(13)C]palmitate given in a test breakfast meal in 12 healthy subjects. There was a tendency for differences in the concentrations of the tracers in plasma chylomicron-triacylglycerol (TG) (oleate > palmitate > linoleate). This pattern remained in plasma nonesterified fatty acid (NEFA) and very low-density lipoprotein (VLDL)-TG (P <or= 0.01 and P <or= 0.02 for [U-(13)C]oleate vs. both [U-(13)C]palmitate and [U-(13)C]linoleate for NEFA and VLDL-TG, respectively). There was significantly more [U-(13)C]linoleate than the other two tracers in plasma cholesteryl ester and phospholipid (PL). Using the values for isotopic enrichment in the different lipid fractions compared with the test meal, we calculated the contribution of meal fatty acids to the respective fractions. At 24 h, 10% of plasma PL-linoleate originated from the breakfast test meal. This was significantly greater than for oleate and palmitate (both 3 +/- 0.3%; P < 0.05). This pattern was also true for erythrocyte PL fatty acids. The marked rapid incorporation of linoleate from a single meal into blood PL fractions may have functional consequences such as maintenance of membrane fluidity and may explain why linoleate is a useful biomarker of dietary intake.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

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

Mendeley demographics

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 2 3%
Netherlands 1 2%
Unknown 55 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 14 24%
Student > Ph. D. Student 8 14%
Student > Master 6 10%
Lecturer > Senior Lecturer 3 5%
Student > Bachelor 3 5%
Other 8 14%
Unknown 16 28%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 18 31%
Medicine and Dentistry 9 16%
Biochemistry, Genetics and Molecular Biology 7 12%
Chemistry 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 3 5%
Unknown 17 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 18 February 2022.
All research outputs
#23,324,569
of 34,400,738 outputs
Outputs from American Journal of Physiology: Endocrinology & Metabolism
#3,655
of 4,818 outputs
Outputs of similar age
#129,545
of 146,643 outputs
Outputs of similar age from American Journal of Physiology: Endocrinology & Metabolism
#34
of 38 outputs
Altmetric has tracked 34,400,738 research outputs across all sources so far. This one is in the 30th percentile – i.e., 30% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,818 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 22nd percentile – i.e., 22% 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 146,643 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.