ArticleThe Journal of surgical research2012
Recovery from decompensated heart failure is associated with a distinct, phase-dependent gene expression profile.
Article in The Journal of surgical research, 2012. 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.
What it found
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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.
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.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Epigenomic and transcriptomic approaches in the post-genomic era: path to novel targets for diagnosis and therapy of the ischaemic heart? Position Paper of the European Society of Cardiology Working Group on Cellular Biology of the Heart.Cardiovascular research · 2017Guideline
- Regression from pathological hypertrophy in mice is sexually dimorphic and stimulus specific.American journal of physiology. Heart and circulatory physiology · 2022Article
- Small animal models of heart failure.Cardiovascular research · 2019Review
- Load-Dependent Changes in Left Ventricular Structure and Function in a Pathophysiologically Relevant Murine Model of Reversible Heart Failure.Circulation. Heart failure · 2018Article
- Normalization of cardiac substrate utilization and left ventricular hypertrophy precede functional recovery in heart failure regression.Cardiovascular research · 2016Article
- Cardiomyocyte p65 nuclear factor-κB is necessary for compensatory adaptation to pressure overload.Circulation. Heart failure · 2015Article
- A modified murine model for the study of reverse cardiac remodelling.Experimental and clinical cardiology · 2013Article
- Inhibitory kappa-B kinase-β inhibition prevents adaptive left ventricular hypertrophy.The Journal of surgical research · 2012Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundClinical and experimental studies have traditionally focused on understanding the mechanisms for why a heart fails. We hypothesize that the pathways involved with myocardial recovery are not simply the reverse of those that cause heart failure. However, determining when and how a decompensated heart can recover remains unknown.
methodsMale C57BL/6 mice underwent minimally invasive aortic banding for 3, 4, or 6 wk with or without subsequent band removal for 1 wk (debanding). Physiologic and genomic characterization was performed with intracardiac pressure-volume recordings, rt-PCR, and microarray analysis.
resultsHeart weight/body weight ratios and PV loops demonstrated a transition from compensated left ventricular hypertrophy to decompensated heart failure between 3 and 4 wk. Pressure-relief afforded by debanding allowed functional recovery and normalization of LVH after both 3 and 4, but not 6 wk of banding. Whole genome microarrays demonstrated 397 genes differentially expressed in recovered hearts, 250 genes differentially expressed in the nonrecoverable (6 wk) hearts, and only 10 genes shared by both processes. In particular, altered expression patterns of apoptotic and metalloproteinase genes correlated with the heart's ability to functionally recover.
conclusionsThis clinically-relevant model (1) allows us to temporally and mechanistically characterize the failing heart, (2) demonstrates a unique genomic signature that may predict when a failing heart can recover following pressure relief, and (3) will prove useful as a template for testing therapeutic strategies aimed at recovery of the failing heart.
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Registered trials
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.