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January 15, 2003Physiological Genomics

Transcriptomal analysis of failing and nonfailing human hearts

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Population

Failing and nonfailing human ventricle samples

Comparison

Large-scale gene expression analysis using… vs Comparisons between failing vs. nonfailing…

Design

Preclinical

Authors

MSMarja SteenmanInstitut du ThoraxYCY.-W. ChenSun Yat-sen UniversityMCM. Le CunffInserm

Discussion

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Implication

Animal data indicate shared HF transcriptomic signatures; leaves open human mechanistic and therapeutic relevance.

Structured PICO

P
Population
Failing and nonfailing human ventricle samples (4 situations: LV from nonfailing heart, LV from failing dilated cardiomyopathy [DCM], LV from failing ischemic cardiomyopathy [ICM], RV from failing DCM or ICM)
I
Intervention
Large-scale gene expression analysis using oligonucleotide arrays representing approximately 12,000 human genes
C
Comparator
Comparisons between failing vs. nonfailing hearts, failing LV vs. failing RV, and failing DCM vs. failing ICM
O
Outcome
Differential gene expression profilessurrogate

End-stage heart failure is characterized by a common transcriptomic profile reflecting dedifferentiation and apoptosis, regardless of the underlying etiology (ischemic vs. dilated cardiomyopathy).

Cite This Study

Steenman et al. (2003) studied this question.

synapsesocial.com/papers/6a74d8071078cf7de2b1dfdbhttps://doi.org/10.1152/physiolgenomics.00148.2002

Topics

Heart failureCardiomyopathyHFrEF treatment
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Changes in gene expression in the intact human heart. Downregulation of alpha-myosin heavy chain in hypertrophied, failing ventricular myocardium.1997 · 509 citations
  2. 2Myosin heavy chain gene expression in human heart failure.1997 · 422 citations
  3. 3Gene expression profile in mouse myocardium after ischemia2000 · 91 citations
  4. 4Characterization of Two Isoforms of the Skeletal Muscle LIM Protein 1, SLIM11999 · 101 citations
  5. 5Significance analysis of microarrays applied to the ionizing radiation response2001 · 10,753 citations