Evidence map›Paper›PMID 23929067›Full record

ArticleJournal of cardiovascular translational research2013

Transcriptional network analysis for the regulation of left ventricular hypertrophy and microvascular remodeling.

Aida Moreno-Moral, Massimiliano Mancini, Giulia D'Amati, Paolo Camici, Enrico Petretto

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of cardiovascular translational research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. B4GALT1 as a New Biomarker of Idiopathic Pulmonary Fibrosis.International journal of molecular sciences · 2022
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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

5 authors at 4 institutions in 2 countries.

Aida Moreno-MoralMedical Research Council (MRC) Clinical Sciences Centre, Faculty of Medicine, Imperial College London, Hammersmith Hospital, Imperial Centre for Translational and Experimental Medicine (ICTEM) Building, Du Cane Road, London, W12 0NN, UK.
Massimiliano Mancini
Giulia D'Amati
Paolo Camici
Enrico Petretto
Sapienza University of Rome · ITHammersmith Hospital · GBImperial College London · GBVita-Salute San Raffaele University · IT

Funding

British Heart Foundation FS/11/25/28740Medical Research Council MC_U120097112
6 · The paper itself

Abstract

Hypertension and cardiomyopathies share maladaptive changes of cardiac morphology, eventually leading to heart failure. These include left ventricular hypertrophy (LVH), myocardial fibrosis, and structural remodeling of coronary microcirculation, which is the morphologic hallmark of coronary microvascular dysfunction. To pinpoint the complex molecular mechanisms and pathways underlying LVH-associated cardiac remodeling independent of blood pressure effects, we employed gene network approaches to the rat heart. We used the Spontaneously Hypertensive Rat model showing many features of human hypertensive cardiomyopathy, for which we collected histological and histomorphometric data of the heart and coronary vasculature, and genome-wide cardiac gene expression. Here, we provide a large catalogue of gene co-expression networks in the heart that are significantly associated with quantitative variation in LVH, microvascular remodeling, and fibrosis-related traits. Many of these networks were significantly conserved to human idiopathic and/or ischemic cardiomyopathy patients, suggesting a potential role for these co-expressed genes in human heart disease.

Indexed as

Gene Regulatory NetworksMicrovesselsAnimalsDisease Models, AnimalFibrosisGene Expression ProfilingGene Expression RegulationHumansHypertensionHypertrophy, Left VentricularMaleQuantitative Trait LociRatsRats, Inbred SHRSpecies SpecificityVentricular Function, Left

Identifiers

PMID23929067
OpenAlexW2048443574

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.