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Circulating PCSK9 levels and CETP plasma activity are independently associated in patients with metabolic diseases

Overview of attention for article published in Cardiovascular Diabetology, August 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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4 tweeters

Citations

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24 Dimensions

Readers on

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41 Mendeley
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Title
Circulating PCSK9 levels and CETP plasma activity are independently associated in patients with metabolic diseases
Published in
Cardiovascular Diabetology, August 2016
DOI 10.1186/s12933-016-0428-z
Pubmed ID
Authors

Josefa Girona, Daiana Ibarretxe, Nuria Plana, Sandra Guaita-Esteruelas, Nuria Amigo, Mercedes Heras, Luis Masana

Abstract

PCSK9 inhibition is a new powerful cholesterol-lowering strategy. Recently, it was reported that CETP inhibitors influence PCSK9 levels as an off-target effect. We explored the relationship between circulating PCSK9 levels and CETP activity in patients with metabolic disease who were not on lipid-lowering therapy. Plasma CETP activity and PCSK9 levels were measured in 450 participants (median age, 58 years; 49 % women) who attended the metabolism unit because of metabolic syndrome (MetS) (78 %), atherogenic dyslipidemia (32 %), obesity (50 %), type 2 diabetes mellitus (72 %), and other risk factors (13 %). A 6 week lipid-lowering drug wash-out period was established in treated patients. Both PCSK9 levels and CETP activity were higher in patients with an increasing number of MetS components. PCSK9 levels were positively correlated with CETP activity in the entire cohort (r = 0.256, P < 0.0001) independent of age, gender, body mass index (BMI), systolic blood pressure (SBP), LDL cholesterol (LDL-C), triglycerides and glucose. Individuals with the loss-of-function PCSK9 genetic variant rs11591147 (R46L) had lower levels of PCSK9 (36.5 %, P < 0.0001) and LDL-C (17.8 %, P = 0.010) as well as lower CETP activity (10.31 %, P = 0.009). This association remained significant in the multiple regression analysis even after adjusting for gender, age, BMI, LDL-C, triglycerides, glucose, lecithin-cholesterol acyltransferase, SBP and MetS (P = 0.003). Our data suggest a metabolic association between PCSK9 and CETP independent of lipid-lowering treatment. The clinical implications of this metabolic relationship could be relevant for explaining the effect of PCSK9 and CETP inhibition on overall lipid profiles.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 20%
Student > Ph. D. Student 7 17%
Student > Bachelor 5 12%
Professor 4 10%
Other 3 7%
Other 9 22%
Unknown 5 12%
Readers by discipline Count As %
Medicine and Dentistry 13 32%
Biochemistry, Genetics and Molecular Biology 8 20%
Agricultural and Biological Sciences 4 10%
Physics and Astronomy 1 2%
Immunology and Microbiology 1 2%
Other 5 12%
Unknown 9 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 August 2016.
All research outputs
#3,321,184
of 8,192,854 outputs
Outputs from Cardiovascular Diabetology
#162
of 571 outputs
Outputs of similar age
#94,042
of 257,619 outputs
Outputs of similar age from Cardiovascular Diabetology
#7
of 38 outputs
Altmetric has tracked 8,192,854 research outputs across all sources so far. This one has received more attention than most of these and is in the 58th percentile.
So far Altmetric has tracked 571 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 69% of its peers.
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 257,619 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
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 has done well, scoring higher than 78% of its contemporaries.