Evidence map›Paper›PMID 37606047›Full record

ArticleJCI insight2023

An extensive β1-adrenergic receptor gene signaling network regulates molecular remodeling in dilated cardiomyopathies.

Philip D Tatman, David P Kao, Kathryn C Chatfield, Ian A Carroll, Jessica A Wagner, Eric R Jonas, Carmen C Sucharov, J David Port, Brian D Lowes, Wayne A Minobe and 5 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. βmedRxiv : the preprint server for health sciences · 2025
    Article
  5. Review
  6. Article
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

15 authors at 5 institutions in 1 country.

Philip D TatmanDivision of Cardiology, Department of Medicine, and.
David P KaoDivision of Cardiology, Department of Medicine, and.
Kathryn C ChatfieldDivision of Cardiology, Department of Medicine, and.
Ian A CarrollDivision of Cardiology, Department of Medicine, and.
Jessica A WagnerDivision of Cardiology, Department of Medicine, and.
Eric R JonasDivision of Cardiology, Department of Medicine, and.
Carmen C SucharovDivision of Cardiology, Department of Medicine, and.
J David PortDivision of Cardiology, Department of Medicine, and.
Brian D LowesDivision of Cardiovascular Medicine, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Wayne A MinobeDivision of Cardiology, Department of Medicine, and.
Sophia P HueblerARCA biopharma, Westminster, Colorado, USA.
Anis Karimpour-FardDepartment of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado, USA.
Erin M RodriguezDivision of Cardiology, Department of Medicine, and.
Stephen B LiggettDepartments of Medicine and Molecular Pharmacology and Physiology, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA.
Michael R BristowDivision of Cardiology, Department of Medicine, and.
Emory University Hospital · USARCA Biopharma (United States) · USUniversity of Colorado Denver · USUniversity of Nebraska Medical Center · USUniversity of South Florida · US

Funding

Genetic-Adrenergic Interactions in Myocardial FailureR01HL048013 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI BRISTOW, MICHAEL R. · 1993 to 2007
$4.5M
REGULATION OF BETA-ADRENERGIC RECEPTOR MRNA STABILITYR01HL051239 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI PORT, JONATHAN DAVID · 1999 to 2008
$2.9M
Mechanisms of YY1 Inhibition of Cardiac HypertrophyK01HL088708 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI SUCHAROV, CARMEN C · 2007 to 2011
$646k
NHLBI NIH HHS K01 HL088708NHLBI NIH HHS R01 HL048013NHLBI NIH HHS R01 HL051239
6 · The paper itself

Abstract

We investigated the extent, biologic characterization, phenotypic specificity, and possible regulation of a β1-adrenergic receptor-linked (β1-AR-linked) gene signaling network (β1-GSN) involved in left ventricular (LV) eccentric pathologic remodeling. A 430-member β1-GSN was identified by mRNA expression in transgenic mice overexpressing human β1-ARs or from literature curation, which exhibited opposite directional behavior in interventricular septum endomyocardial biopsies taken from patients with beta-blocker-treated, reverse remodeled dilated cardiomyopathies. With reverse remodeling, the major biologic categories and percentage of the dominant directional change were as follows: metabolic (19.3%, 81% upregulated); gene regulation (14.9%, 78% upregulated); extracellular matrix/fibrosis (9.1%, 92% downregulated); and cell homeostasis (13.3%, 60% upregulated). Regarding the comparison of β1-GSN categories with expression from 19,243 nonnetwork genes, phenotypic selection for major β1-GSN categories was exhibited for LV end systolic volume (contractility measure), ejection fraction (remodeling index), and pulmonary wedge pressure (wall tension surrogate), beginning at 3 months and persisting to study completion at 12 months. In addition, 121 lncRNAs were identified as possibly involved in cis-acting regulation of β1-GSN members. We conclude that an extensive 430-member gene network downstream from the β1-AR is involved in pathologic ventricular remodeling, with metabolic genes as the most prevalent category.

Indexed as

Biological ProductsCardiomyopathy, DilatedAnimalsGene Regulatory NetworksHumansMiceMice, TransgenicReceptors, AdrenergicSignal TransductionBiological ProductsReceptors, AdrenergicBioinformaticsCardiologyGeneticsHeart failureMolecular genetics

Identifiers

PMID37606047
PMCPMC10543724
OpenAlexW4386022242

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.