Evidence map›Paper›PMID 24920501›Full record

ReviewProteomics. Clinical applications2014

Quantitative proteomics in cardiovascular research: global and targeted strategies.

Xiaomeng Shen, Rebeccah Young, John M Canty, Jun Qu

Abstract readReview
In one paragraph

Review in Proteomics. Clinical applications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
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

4 authors.

Xiaomeng ShenDepartment of Biochemistry, University at Buffalo, Buffalo, NY, USA; New York State Center of Excellence in Bioinformatics and Life Sciences, University at Buffalo, Buffalo, NY, USA.
Rebeccah Young
John M Canty
Jun Qu

Funding

Metabolic Adaptation and Functional Recovery of Hibernating MyocardiumR01HL061610 · NHLBI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI CANTY, JOHN M · 2000 to 2018
$6.0M
CHRONIC ADAPTATIONS TO MYOCARDIAL ISCHEMIAR01HL055324 · NHLBI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI CANTY, JOHN M · 1996 to 2014
$4.2M
Synergistic Pharmacologicjntervention for Prevention of ROP (SPIPROP STUDY)U54HD071594 · NICHD · SUNY DOWNSTATE MEDICAL CENTER · PI ARANDA, JACOB V · 2011 to 2015
$3.6M
Peripheral biomarkers of cocaine dependence and relapseR21DA027528 · NIDA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI QU, JUN, STRAUBINGER, ROBERT M · 2009 to 2010
$631k
NHLBI NIH HHS HL55324NHLBI NIH HHS HL61610NHLBI NIH HHS HL75324NHLBI NIH HHS R01 HL055324NHLBI NIH HHS R01 HL061610NICHD NIH HHS U54 HD071594NICHD NIH HHS U54HD071594NIDA NIH HHS R21 DA027528
6 · The paper itself

Abstract

Extensive technical advances in the past decade have substantially expanded quantitative proteomics in cardiovascular research. This has great promise for elucidating the mechanisms of cardiovascular diseases and the discovery of cardiac biomarkers used for diagnosis and treatment evaluation. Global and targeted proteomics are the two major avenues of quantitative proteomics. While global approaches enable unbiased discovery of altered proteins via relative quantification at the proteome level, targeted techniques provide higher sensitivity and accuracy, and are capable of multiplexed absolute quantification in numerous clinical/biological samples. While promising, technical challenges need to be overcome to enable full utilization of these techniques in cardiovascular medicine. Here, we discuss recent advances in quantitative proteomics and summarize applications in cardiovascular research with an emphasis on biomarker discovery and elucidating molecular mechanisms of disease. We propose the integration of global and targeted strategies as a high-throughput pipeline for cardiovascular proteomics. Targeted approaches enable rapid, extensive validation of biomarker candidates discovered by global proteomics. These approaches provide a promising alternative to immunoassays and other low-throughput means currently used for limited validation.

Indexed as

AnimalsCardiovascular DiseasesHumansProteomicsBiomarkerCardiovascular diseasesLC-MSMechanism studyTargeted quantification

Identifiers

PMID24920501
PMCPMC4159306

What OpenQuestion holds

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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.