Evidence map›Paper›PMID 17397244›Full record

ReviewMolecular diagnosis & therapy2007

Cardiovascular proteomics: past, present, and future.

Melanie Y White, Jennifer E Van Eyk

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular diagnosis & therapy, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
  4. Review
  5. Review
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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

2 authors at 1 institution in 1 country.

Melanie Y WhiteDepartment of Medicine, Johns Hopkins University, Baltimore, Maryland 21224, USA.
Jennifer E Van Eyk
Johns Hopkins University · US

Funding

Pathobiology of Cardiac Dyssynchrony &ResynchronizationP01HL077180 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI KASS, DAVID ALAN · 2004 to 2014
$22.8M
SCLERODERMA-ASSOCIATED PAHP50HL084946 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BLUEMKE, DAVID A. · 2007 to 2011
$20.6M
STRUCTURE OF MITOCHONDRIAL K+ CHANNELSP01HL081427 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI VAN EYK, JENNIFER E · 2005 to 2009
$11.2M
NHLBI PROTEOMICS INITIATIVE-N01HV28180-268028180-268028180N01HV028180 · HV · JOHNS HOPKINS UNIVERSITY · PI VAN EYK, JENNIFER E · 2002 to 2006
–
NHLBI NIH HHS N01 HV028180NHLBI NIH HHS P01 HL077180NHLBI NIH HHS P01 HL081427NHLBI NIH HHS P01HL081427NHLBI NIH HHS P50 HL084946PHS HHS N0 NV 28180
6 · The paper itself

Abstract

With cardiovascular (CV)-related disorders accounting for the highest mortality rates in the world, affecting the quantity and quality of life of patients and creating an economic burden of prolonged therapeutic intervention, there is great significance in understanding the cellular and molecular alterations that influence the progression of these pathologies. The cellular genotype is regulated by the DNA component, whilst the cellular phenotype is influenced by the protein complement. By improving the understanding of the molecular mechanisms that influence the protein profile, the pathologies that influence the intrinsic functions of the CV system may be detected earlier or managed more efficiently. This is achievable with technologies encompassed by 'proteomics.' Proteomic investigations of CV diseases, including dilated cardiomyopathy (DCM), atherosclerosis, and ischemia/reperfusion (I/R) injury, have identified candidate proteins altered with the pathologic states, complementing past biochemical and physiologic observations. Whilst proteomics is still a relatively new discipline to be applied to the basic scientific investigation of CV diseases, it is emerging as a technique to screen for potential biomarkers in both tissues/cells and biologic fluids (biofluids), as well as to identify the targets of existing therapeutics. By enabling the separation of complex mixtures over numerous dimensions, exploiting the intrinsic properties of proteins, including charge state, molecular mass, and hydrophobicity, in addition to cellular location, the discrete alterations within the cell may be resolved. Proteomics has shown alterations to myofilament proteins including troponin I and myosin light chain, correlating with the reduction in contractility in the myocardium from DCM and I/R. The diverse cell types that coalesce to induce atherosclerotic plaque formation have been investigated both collectively and individually to elucidate the influence of the modifications to single cell types on the developing plaque as a whole. Proteomics has also been used to observe changes to biofluids occurring with these pathologies, a new potential link between basic science and clinical applications. The development of CV proteomics has helped to identify a number of possible protein candidates, and offers the potential to treat and diagnose CV disease more effectively in the future.

Indexed as

AlgorithmsAnimalsAtherosclerosisCardiomyopathy, DilatedCardiovascular DiseasesHumansProteomeProteomicsReperfusion InjuryProteome

Identifiers

PMID17397244
OpenAlexW2313700407

What OpenQuestion holds

Textmetadata
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.