Evidence map›Paper›PMID 18591436›Full record

ArticleCirculation2008

Transcriptomic biomarkers for individual risk assessment in new-onset heart failure.

Bettina Heidecker, Edward K Kasper, Ilan S Wittstein, Hunter C Champion, Elayne Breton, Stuart D Russell, Michelle M Kittleson, Kenneth L Baughman, Joshua M Hare

Open access · bronzeAbstract read
In one paragraph

Article in Circulation, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

34 citing papers in PubMed, 86 citations in OpenAlex.

  1. Trial
  2. Article
  3. Mesenchymal STRO-1/STRO-3Future cardiology · 2023
    Review
  4. Article
  5. DNA methylation reprograms cardiac metabolic gene expression in end-stage human heart failure.American journal of physiology. Heart and circulatory physiology · 2019
    Article
  6. Review
  7. Article
  8. Review
  9. Gene Expression Signatures and the Spectrum of Coronary Artery Disease.Journal of cardiovascular translational research · 2015
    Review
  10. Epigenetics of the failing heart.Heart failure reviews · 2015
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Bettina HeideckerMiller School of Medicine, University of Miami Division of Cardiology, CRB, 1120 NW 14th St, Suite 1124, Miami, FL 33136, USA.
Edward K Kasper
Ilan S Wittstein
Hunter C Champion
Elayne Breton
Stuart D Russell
Michelle M Kittleson
Kenneth L Baughman
Joshua M Hare
University of California, Los Angeles · USUniversity of Miami · US

Funding

Cellular Cardiomyoplasty for Chronic Heart FailureR01HL084275 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI HARE, JOSHUA M · 2007 to 2016
$3.8M
OXIDATIVE STRESS IN HEART FAILURE: MECHANISMSR01HL065455 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI HARE, JOSHUA M · 2000 to 2008
$2.6M
Aging impairs stem-cell mediated myocardial repairR01AG025017 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI HARE, JOSHUA M · 2004 to 2008
$1.5M
NHLBI NIH HHS HL-084275NHLBI NIH HHS HL-65455NHLBI NIH HHS R01 HL065455NHLBI NIH HHS R01 HL084275NIA NIH HHS AG-02017NIA NIH HHS R01 AG025017
6 · The paper itself

Abstract

backgroundPrediction of prognosis remains a major unmet need in new-onset heart failure (HF). Although several clinical tests are in use, none accurately distinguish between patients with poor versus excellent survival. We hypothesized that a transcriptomic signature, generated from a single endomyocardial biopsy, could serve as a novel prognostic biomarker in HF. METHODS AND

resultsEndomyocardial biopsy samples and clinical data were collected from all patients presenting with new-onset HF from 1997 to 2006. Among a total of 350 endomyocardial biopsy samples, 180 were identified as idiopathic dilated cardiomyopathy. Patients with phenotypic extremes in survival were selected: good prognosis (event-free survival for at least 5 years; n=25) and poor prognosis (events [death, requirement for left ventricular assist device, or cardiac transplant] within the first 2 years of presentation with HF symptoms; n=18). We used human U133 Plus 2.0 microarrays (Affymetrix) and analyzed the data with significance analysis of microarrays and prediction analysis of microarrays. We identified 46 overexpressed genes in patients with good versus poor prognosis, of which 45 genes were selected by prediction analysis of microarrays for prediction of prognosis in a train set (n=29) with subsequent validation in test sets (n=14 each). The biomarker performed with 74% sensitivity (95% CI 69% to 79%) and 90% specificity (95% CI 87% to 93%) after 50 random partitions.

conclusionsThese findings suggest the potential of transcriptomic biomarkers to predict prognosis in patients with new-onset HF from a single endomyocardial biopsy sample. In addition, our findings offer potential novel therapeutic targets for HF and cardiomyopathy.

Indexed as

Gene Expression ProfilingAdultAgedBiomarkersBiopsyCardiomyopathy, DilatedCase-Control StudiesCohort StudiesEndocardiumFemaleHeart FailureHumansMaleMiddle AgedMyocardiumOligonucleotide Array Sequence AnalysisBiomarkers

Identifiers

PMID18591436
PMCPMC3408076
OpenAlexW4240661453

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.