Evidence map›Paper›PMID 24397693›Full record

ArticleLipids in health and disease2014

The application of multiple reaction monitoring and multi-analyte profiling to HDL proteins.

Hussein N Yassine, Angela M Jackson, Chad R Borges, Dean Billheimer, Hyunwook Koh, Derek Smith, Peter Reaven, Serrine S Lau, Christoph H Borchers

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Article
  6. Deepening our understanding of HDL proteome.Expert review of proteomics · 2019
    Review
  7. Article
  8. Multiphoton-Polymerized 3D Protein Assay.ACS applied materials & interfaces · 2018
    Article
  9. Selected reaction monitoring approach for validating peptide biomarkers.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  10. Review
  11. Article
  12. Article
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 2 countries.

Hussein N YassineDepartment of Medicine, University of Southern California, Los Angeles, CA, USA. hyassine@usc.edu.
Angela M Jackson
Chad R Borges
Dean Billheimer
Hyunwook Koh
Derek Smith
Peter Reaven
Serrine S Lau
Christoph H Borchers
Arizona State University · USUniversity of Arizona · USUniversity of Southern California · USGenome British Columbia · CAPhoenix VA Health Care System · USUniversity of Victoria · CA

Funding

VITAMIN AP30CA023074 · NCI · UNIVERSITY OF ARIZONA · PI Dan Theodorescu · 1985 to 2026
$110.2M
SOUTHWEST ENVIRONMENTAL HEALTH SCIENCES CENTERP30ES006694 · NIEHS · UNIVERSITY OF ARIZONA · PI DEAN BILLHEIMER · 1994 to 2026
$36.7M
Southern California Clinical and Translational Science InstituteUL1TR000130 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$36.0M
The Effect of Saturated Fat Ingestion on the HDL ProteomeK23HL107389 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI YASSINE, HUSSEIN N · 2012 to 2016
$648k
NCATS NIH HHS UL1 TR000130NCATS NIH HHS UL1TR000130NCI NIH HHS P30 CA023074NCI NIH HHS P30CA023074NHLBI NIH HHS K23 HL107389NHLBI NIH HHS K23HL107389NIEHS NIH HHS P30 ES006694NIEHS NIH HHS P30ES06694
6 · The paper itself

Abstract

backgroundHDL carries a rich protein cargo and examining HDL protein composition promises to improve our understanding of its functions. Conventional mass spectrometry methods can be lengthy and difficult to extend to large populations. In addition, without prior enrichment of the sample, the ability of these methods to detect low abundance proteins is limited. Our objective was to develop a high-throughput approach to examine HDL protein composition applicable to diabetes and cardiovascular disease (CVD).

methodsWe optimized two multiplexed assays to examine HDL proteins using a quantitative immunoassay (Multi-Analyte Profiling- MAP) and mass spectrometric-based quantitative proteomics (Multiple Reaction Monitoring-MRM). We screened HDL proteins using human xMAP (90 protein panel) and MRM (56 protein panel). We extended the application of these two methods to HDL isolated from a group of participants with diabetes and prior cardiovascular events and a group of non-diabetic controls.

resultsWe were able to quantitate 69 HDL proteins using MAP and 32 proteins using MRM. For several common proteins, the use of MRM and MAP was highly correlated (p < 0.01). Using MAP, several low abundance proteins implicated in atherosclerosis and inflammation were found on HDL. On the other hand, MRM allowed the examination of several HDL proteins not available by MAP.

conclusionsMAP and MRM offer a sensitive and high-throughput approach to examine changes in HDL proteins in diabetes and CVD. This approach can be used to measure the presented HDL proteins in large clinical studies.

Indexed as

Tandem Mass SpectrometryAgedBlood ProteinsCardiovascular DiseasesCase-Control StudiesDiabetes MellitusFemaleHumansLipoproteins, HDLMaleMiddle AgedProteomeStatistics, NonparametricBlood ProteinsLipoproteins, HDLProteome

Identifiers

PMID24397693
PMCPMC3900256
OpenAlexW2136644649

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.