Evidence map›Paper›PMID 22824111›Full record

ReviewProgress in cardiovascular diseases

Transcriptomic biomarkers of cardiovascular disease.

Dawn M Pedrotty, Michael P Morley, Thomas P Cappola

Abstract readReview
In one paragraph

Review in Progress in cardiovascular diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Trial
  2. Review
  3. Monocyte-Amplified Transcriptional Signatures of Human Diseases.bioRxiv : the preprint server for biology · 2026
    Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Using Omics to Identify Novel Therapeutic Targets in Heart Failure.Circulation. Genomic and precision medicine · 2024
    Review
  10. Article
  11. Article
  12. Cardiovascular Disease and Alzheimer's Disease: The Heart-Brain Axis.Journal of the American Heart Association · 2023
    Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

3 authors.

Dawn M PedrottyPenn Cardiovascular Institute and Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Michael P Morley
Thomas P Cappola

Funding

Training Program in Cardiovascular Biology and MedicineT32HL007843 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI THOMAS P. CAPPOLA, Sharlene M Day · 1996 to 2026
$11.0M
Integrative genomics of human heart failureR01HL105993 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI ASHLEY, EUAN A, CAPPOLA, THOMAS P. · 2011 to 2014
$8.9M
Genomics of myocardial transcription factors in cardiac remodelingR01HL088577 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI CAPPOLA, THOMAS P. · 2007 to 2013
$5.3M
NHLBI NIH HHS R01 HL088577NHLBI NIH HHS R01HL088577NHLBI NIH HHS R01 HL105993NHLBI NIH HHS R01HL105993NHLBI NIH HHS T32 HL007843
6 · The paper itself

Abstract

Transcriptomics is the study of how our genes are regulated and expressed in different biological settings. Technical advances now enable quantitative assessment of all expressed genes (ie, the entire "transcriptome") in a given tissue at a given time. These approaches provide a powerful tool for understanding complex biological systems and for developing novel biomarkers. This chapter will introduce basic concepts in transcriptomics and available technologies for developing transcriptomic biomarkers. We will then review current and emerging applications in cardiovascular medicine.

Indexed as

Gene Expression ProfilingGenetic MarkersCardiovascular DiseasesGene Expression RegulationGenetic Predisposition to DiseaseHumansPhenotypePrecision MedicinePredictive Value of TestsPrognosisGenetic Markers

Identifiers

PMID22824111
PMCPMC4131429

What OpenQuestion holds

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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.