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Association between ethnicity and obesity with high-density lipoprotein (HDL) function and subclass distribution

Overview of attention for article published in Lipids in Health and Disease, May 2016
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Title
Association between ethnicity and obesity with high-density lipoprotein (HDL) function and subclass distribution
Published in
Lipids in Health and Disease, May 2016
DOI 10.1186/s12944-016-0257-9
Pubmed ID
Authors

Nicholas J. Woudberg, Julia H. Goedecke, Dee Blackhurst, Miguel Frias, Richard James, Lionel H. Opie, Sandrine Lecour

Abstract

Obesity and low high-density lipoprotein-cholesterol (HDL-C) levels are associated with cardiovascular risk. Surprisingly, despite a greater prevalence of obesity and lower HDL concentrations than white women, black South African women are relatively protected against ischaemic heart disease. We investigated whether this apparent discrepancy may be related to different HDL function and subclass distribution in black and white, normal-weight and obese South African women (n = 40). HDL functionality was assessed by measuring paraoxonase (PON) activity, platelet activating factor acetylhydrolase (PAF-AH) activity, Oxygen Radical Absorbance Capacity (ORAC) and quantification of the expression of vascular cell adhesion molecule in endothelial cells. PON-1 and PAF-AH expression was determined in isolated HDL and serum using Western blotting. Levels of large, intermediate and small HDL subclasses were measured using the Lipoprint® system. PON activity was lower in white compared to black women (0.49 ± 0.09 U/L vs 0.78 ± 0.10 U/L, p < 0.05), regardless of PON-1 protein levels. Obese black women had lower PAF-AH activity (9.34 ± 1.15 U/L vs 13.89 ± 1.21 U/L, p <0.05) and HDL-associated PAF-AH expression compared to obese white women. Compared to normal-weight women, obese women had lower large HDL, greater intermediate and small HDL; an effect that was more pronounced in white women than black women. There were no differences in antioxidant capacity or anti-inflammatory function across groups. Our data show that both obesity and ethnicity are associated with differences in HDL functionality, while obesity was associated with decreases in large HDL subclass distribution. Measuring HDL functionality and subclass may, therefore, be important factors to consider when assessing cardiovascular risk.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

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 > Master 11 22%
Student > Bachelor 7 14%
Student > Ph. D. Student 6 12%
Student > Postgraduate 5 10%
Professor 3 6%
Other 10 20%
Unknown 9 18%
Readers by discipline Count As %
Medicine and Dentistry 16 31%
Nursing and Health Professions 5 10%
Biochemistry, Genetics and Molecular Biology 5 10%
Agricultural and Biological Sciences 4 8%
Sports and Recreations 3 6%
Other 5 10%
Unknown 13 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 May 2016.
All research outputs
#5,819,726
of 7,695,064 outputs
Outputs from Lipids in Health and Disease
#439
of 664 outputs
Outputs of similar age
#188,597
of 269,487 outputs
Outputs of similar age from Lipids in Health and Disease
#18
of 24 outputs
Altmetric has tracked 7,695,064 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 664 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 14th percentile – i.e., 14% 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 269,487 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.