Evidence map›Paper›PMID 23696124›Full record

ReviewProteomics. Clinical applications2013

Mass spectrometric immunoassay and MRM as targeted MS-based quantitative approaches in biomarker development: potential applications to cardiovascular disease and diabetes.

Hussein Yassine, Chad R Borges, Matthew R Schaab, Dean Billheimer, Craig Stump, Peter Reaven, Serrine S Lau, Randall Nelson

Open access · greenAbstract readReview
In one paragraph

Review in Proteomics. Clinical applications, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 51 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Hussein YassineDepartment of Medicine, University of Southern California, Los Angeles, CA, USA.
Chad R Borges
Matthew R Schaab
Dean Billheimer
Craig Stump
Peter Reaven
Serrine S Lau
Randall Nelson
University of Arizona · USArizona State University · USHealth First · USPhoenix VA Health Care System · US

Funding

VITAMIN AP30CA023074 · NCI · UNIVERSITY OF ARIZONA · PI Teri L Bankhead · 1985 to 2026
$110.2M
SOUTHWEST ENVIRONMENTAL HEALTH SCIENCES CENTERP30ES006694 · NIEHS · UNIVERSITY OF ARIZONA · PI DEAN BILLHEIMER · 1994 to 2026
$36.7M
Team Approach to Translate Novel Biomarkers for DiabetesR24DK090958 · NIDDK · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI NELSON, RANDALL W, PEARSON, JAMES DAVID · 2011 to 2014
$4.5M
Genomic Methylation--Mechanism to Alter Tumor PhenotypesR01CA065662 · NCI · UNIVERSITY OF ARIZONA · PI FUTSCHER, BERNARD W · 2001 to 2009
$2.3M
The Effect of Saturated Fat Ingestion on the HDL ProteomeK23HL107389 · NHLBI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI YASSINE, HUSSEIN N · 2012 to 2016
$648k
Team Approach to Translate Novel Biomarkers for DiabetesR24DK083948 · NIDDK · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI NELSON, RANDALL W · 2009 to 2009
$467k
NCI NIH HHS P30 CA023074NCI NIH HHS P30CA023074NCI NIH HHS R01 CA065662NHLBI NIH HHS K23 HL107389NHLBI NIH HHS K23HL107389NIDDK NIH HHS R24 DK083948NIDDK NIH HHS R24 DK090958NIDDK NIH HHS R24DK090958NIEHS NIH HHS P30 ES006694NIEHS NIH HHS P30ES06694
6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) is an important risk factor for cardiovascular disease (CVD)--the leading cause of death in the United States. Yet not all subjects with T2DM are at equal risk for CVD complications; the challenge lies in identifying those at greatest risk. Therapies directed toward treating conventional risk factors have failed to significantly reduce this residual risk in T2DM patients. Thus newer targets and markers are needed for the development and testing of novel therapies. Herein we review two complementary MS-based approaches--mass spectrometric immunoassay (MSIA) and MS/MS as MRM--for the analysis of plasma proteins and PTMs of relevance to T2DM and CVD. Together, these complementary approaches allow for high-throughput monitoring of many PTMs and the absolute quantification of proteins near the low picomolar range. In this review article, we discuss the clinical relevance of the high density lipoprotein (HDL) proteome and Apolipoprotein A-I PTMs to T2DM and CVD as well as provide illustrative MSIA and MRM data on HDL proteins from T2DM patients to provide examples of how these MS approaches can be applied to gain new insight regarding cardiovascular risk factors. Also discussed are the reproducibility, interpretation, and limitations of each technique with an emphasis on their capacities to facilitate the translation of new biomarkers into clinical practice.

Indexed as

Amino Acid SequenceBiomarkersBlood ProteinsCardiovascular DiseasesDiabetes MellitusHumansImmunoassayMass SpectrometryMolecular Sequence DataBiomarkersBlood ProteinsApolipoprotein A-ICardiovascular disease (CVD)DiabetesHigh density lipoprotein (HDL)

Identifiers

PMID23696124
PMCPMC4029342
OpenAlexW2159559291

What OpenQuestion holds

Textmetadata
LicenceTDM
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.