Evidence map›Paper›PMID 21685905›Full record

ArticleNature biotechnology2011

A pipeline that integrates the discovery and verification of plasma protein biomarkers reveals candidate markers for cardiovascular disease.

Terri A Addona, Xu Shi, Hasmik Keshishian, D R Mani, Michael Burgess, Michael A Gillette, Karl R Clauser, Dongxiao Shen, Gregory D Lewis, Laurie A Farrell and 4 more

Abstract readValidation Study
In one paragraph

Article in Nature biotechnology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers.

0numbers the graph read from it
0cells of the map it votes in
115citing papers in PubMed
–field-weighted citation impact
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

115 citing papers in PubMed.

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  19. InnovativeFrontiers in genetics · 2022
    Review
  20. Article

55 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Terri A AddonaBroad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
Xu Shi
Hasmik Keshishian
D R Mani
Michael Burgess
Michael A Gillette
Karl R Clauser
Dongxiao Shen
Gregory D Lewis
Laurie A Farrell
Michael A Fifer
Marc S Sabatine
Robert E Gerszten
Steven A Carr

Funding

Measuring Cancer Biomarker Candidates by Targeted MS and Ab EnrichmentU24CA126476 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CARR, STEVEN A · 2006 to 2010
$14.6M
Patients undergoing alcohol septal ablation for hypertrophic cardiomyopathyU01HL081341 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI GERSZTEN, ROBERT E · 2005 to 2008
$5.3M
Individual Propensity to Venous ThrombosisR01HL083141 · NHLBI · MAYO CLINIC ROCHESTER · PI HEIT, JOHN A. · 2006 to 2009
$3.0M
Discovery & Application of Proteomics-Based Biomarkers of Early Myocardial InjuryR01HL096738 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI CARR, STEVEN A, GERSZTEN, ROBERT E · 2009 to 2012
$2.9M
A Platform for Pattern-Based Proteomic Biomarker Discovery-R01R01CA126219 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MANI, DENKANIKOTA R · 2006 to 2009
$1.2M
Metabolic Profiling of Acute Myocardial Injury in HumansK23HL091106 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI LEWIS, GREGORY DYER · 2008 to 2012
$711k
NCI NIH HHS R01 CA126219NCI NIH HHS U24 CA126476NHLBI NIH HHS K23 HL091106NHLBI NIH HHS R01 HL083141NHLBI NIH HHS R01 HL096738NHLBI NIH HHS U01 HL081341
6 · The paper itself

Abstract

We developed a pipeline to integrate the proteomic technologies used from the discovery to the verification stages of plasma biomarker identification and applied it to identify early biomarkers of cardiac injury from the blood of patients undergoing a therapeutic, planned myocardial infarction (PMI) for treatment of hypertrophic cardiomyopathy. Sampling of blood directly from patient hearts before, during and after controlled myocardial injury ensured enrichment for candidate biomarkers and allowed patients to serve as their own biological controls. LC-MS/MS analyses detected 121 highly differentially expressed proteins, including previously credentialed markers of cardiovascular disease and >100 novel candidate biomarkers for myocardial infarction (MI). Accurate inclusion mass screening (AIMS) qualified a subset of the candidates based on highly specific, targeted detection in peripheral plasma, including some markers unlikely to have been identified without this step. Analyses of peripheral plasma from controls and patients with PMI or spontaneous MI by quantitative multiple reaction monitoring mass spectrometry or immunoassays suggest that the candidate biomarkers may be specific to MI. This study demonstrates that modern proteomic technologies, when coherently integrated, can yield novel cardiovascular biomarkers meriting further evaluation in large, heterogeneous cohorts.

Indexed as

BiomarkersBlood Chemical AnalysisHumansMass SpectrometryMyocardial InfarctionPeptide MappingProteomeSystems IntegrationBiomarkersProteome

Identifiers

PMID21685905
PMCPMC3366591

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Registered trials

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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.