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Relationship Between the Apolipoprotein E Genotype and LDL Particle Size in Patients With Obstructive Sleep Apnea

Overview of attention for article published in Angiology, July 2016
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Title
Relationship Between the Apolipoprotein E Genotype and LDL Particle Size in Patients With Obstructive Sleep Apnea
Published in
Angiology, July 2016
DOI 10.1177/0003319716636512
Pubmed ID
Authors

Jelena Vekic, Pavol Joppa, Viera Habalova, Radovan Tisko, Aleksandra Zeljkovic, Pavol Pobeha, Tamara Gojkovic, Vesna Spasojevic-Kalimanovska, Zuzana Strbova, Zuzana Kuklisova, Eva Slaba, Manfredi Rizzo, Ruzena Tkacova

Abstract

Obstructive sleep apnea (OSA) is associated with dyslipidemia and increased cardiovascular risk. We assessed the effects of apolipoprotein E (APOE) genotype on low-density lipoprotein (LDL) and high-density lipoprotein (HDL) particle size and lipid subclasses (separated by gradient gel electrophoresis) in patients with OSA. Stable patients (n = 181) prospectively recruited underwent full polysomnography. Both LDL particle size and LDL I proportion were reduced from ∊3∊3 homozygotes to ∊2 carriers and to ∊4 carriers (analysis of variance: P = .024; P = .040, respectively); carriers of the ∊4 allele of the APOE genotype had significantly lower LDL particle size and LDL I proportion compared to ∊3∊3 homozygotes (P < .05 for both comparisons). Insulin resistance increased from patients with no OSA to those with mild-moderate and to those with severe OSA (P < .001). In multivariate analysis, LDL size was independently predicted by APOE genotype, male gender, and the presence of metabolic syndrome (MetS; P = .001, P = .020, P = .027, respectively). The HDL particle size was not affected by APOE genotype. Our data demonstrate that both the ∊4 APOE genotype and MetS are independently related to smaller LDL size in patients with OSA.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 24%
Researcher 4 24%
Other 2 12%
Professor 1 6%
Student > Ph. D. Student 1 6%
Other 1 6%
Unknown 4 24%
Readers by discipline Count As %
Medicine and Dentistry 6 35%
Biochemistry, Genetics and Molecular Biology 5 29%
Agricultural and Biological Sciences 3 18%
Unknown 3 18%
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 17 August 2018.
All research outputs
#15,322,224
of 22,870,727 outputs
Outputs from Angiology
#531
of 840 outputs
Outputs of similar age
#225,288
of 354,271 outputs
Outputs of similar age from Angiology
#292
of 351 outputs
Altmetric has tracked 22,870,727 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 840 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 36th percentile – i.e., 36% 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 354,271 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 351 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.