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HDL Proteome in Hemodialysis Patients: A Quantitative Nanoflow Liquid Chromatography-Tandem Mass Spectrometry Approach

Overview of attention for article published in PLOS ONE, March 2012
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Title
HDL Proteome in Hemodialysis Patients: A Quantitative Nanoflow Liquid Chromatography-Tandem Mass Spectrometry Approach
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0034107
Pubmed ID
Authors

Alain Mangé, Aurélie Goux, Stéphanie Badiou, Laure Patrier, Bernard Canaud, Thierry Maudelonde, Jean-Paul Cristol, Jérôme Solassol

Abstract

Aside from a decrease in the high-density lipoprotein (HDL) cholesterol levels, qualitative abnormalities of HDL can contribute to an increase in cardiovascular (CV) risk in end-stage renal disease (ESRD) patients undergoing chronic hemodialysis (HD). Dysfunctional HDL leads to an alteration of reverse cholesterol transport and the antioxidant and anti-inflammatory properties of HDL. In this study, a quantitative proteomics approach, based on iTRAQ labeling and nanoflow liquid chromatography mass spectrometry analysis, was used to generate detailed data on HDL-associated proteins. The HDL composition was compared between seven chronic HD patients and a pool of seven healthy controls. To confirm the proteomics results, specific biochemical assays were then performed in triplicate in the 14 samples as well as 46 sex-matched independent chronic HD patients and healthy volunteers. Of the 122 proteins identified in the HDL fraction, 40 were differentially expressed between the healthy volunteers and the HD patients. These proteins are involved in many HDL functions, including lipid metabolism, the acute inflammatory response, complement activation, the regulation of lipoprotein oxidation, and metal cation homeostasis. Among the identified proteins, apolipoprotein C-II and apolipoprotein C-III were significantly increased in the HDL fraction of HD patients whereas serotransferrin was decreased. In this study, we identified new markers of potential relevance to the pathways linked to HDL dysfunction in HD. Proteomic analysis of the HDL fraction provides an efficient method to identify new and uncharacterized candidate biomarkers of CV risk in HD patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 2%
United States 1 2%
Unknown 53 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 24%
Student > Ph. D. Student 7 13%
Student > Doctoral Student 5 9%
Student > Bachelor 4 7%
Other 4 7%
Other 12 22%
Unknown 10 18%
Readers by discipline Count As %
Medicine and Dentistry 14 25%
Agricultural and Biological Sciences 13 24%
Biochemistry, Genetics and Molecular Biology 8 15%
Chemistry 3 5%
Nursing and Health Professions 1 2%
Other 4 7%
Unknown 12 22%
Attention Score in Context

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 11 May 2012.
All research outputs
#17,656,184
of 22,663,969 outputs
Outputs from PLOS ONE
#146,216
of 193,506 outputs
Outputs of similar age
#120,316
of 160,638 outputs
Outputs of similar age from PLOS ONE
#2,723
of 3,709 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
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