Evidence map›Paper›PMID 28235788›Full record

ArticleAmerican journal of physiology. Heart and circulatory physiology2017

A systems genetics approach identifies

Marcus M Seldin, Eric D Kim, Milagros C Romay, Shen Li, Christoph D Rau, Jessica J Wang, Karthickeyan Chella Krishnan, Yibin Wang, Arjun Deb, Aldons J Lusis

Open access · greenAbstract read
In one paragraph

Article in American journal of physiology. Heart and circulatory physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
1.5field-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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Guidelines for measuring cardiac physiology in mice.American journal of physiology. Heart and circulatory physiology · 2018
    Guideline
  2. Guidelines for experimental models of myocardial ischemia and infarction.American journal of physiology. Heart and circulatory physiology · 2018
    Guideline
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  13. Systemic Blockade of ACVR2B Ligands Protects Myocardium from Acute Ischemia-Reperfusion Injury.Molecular therapy : the journal of the American Society of Gene Therapy · 2019
    Article
  14. Statistical considerations in reporting cardiovascular research.American journal of physiology. Heart and circulatory physiology · 2018
    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

10 authors at 1 institution in 1 country.

Marcus M SeldinDepartment of Medicine, Cardiology Division at the University of California Los Angeles, Los Angeles, California; and.ORCID http://orcid.org/0000-0002-8785-0766
Eric D KimDepartment of Medicine, Cardiology Division at the University of California Los Angeles, Los Angeles, California; and.
Milagros C RomayDepartment of Medicine, Cardiology Division at the University of California Los Angeles, Los Angeles, California; and.
Shen LiDepartment of Medicine, Cardiology Division at the University of California Los Angeles, Los Angeles, California; and.
Christoph D RauDepartment of Anesthesiology, University of California Los Angeles, Los Angeles, California.
Jessica J WangDepartment of Medicine, Cardiology Division at the University of California Los Angeles, Los Angeles, California; and.
Karthickeyan Chella KrishnanDepartment of Medicine, Cardiology Division at the University of California Los Angeles, Los Angeles, California; and.
Yibin WangDepartment of Anesthesiology, University of California Los Angeles, Los Angeles, California.
Arjun DebDepartment of Medicine, Cardiology Division at the University of California Los Angeles, Los Angeles, California; and.
Aldons J LusisDepartment of Medicine, Cardiology Division at the University of California Los Angeles, Los Angeles, California; and jlusis@mednet.ucla.edu.
University of California, Los Angeles · US

Funding

UCLA NIGMS T32 Program AssessmentT32GM007185 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TORRES, JORGE · 1985 to 2020
$21.7M
CARDIOVASCULAR SCIENTIST TRAINING PROGRAMT32HL007895 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SHIVKUMAR, KALYANAM, WATSON, KAROL E · 1998 to 2023
$9.2M
Systems Approach to Unraveling the Genetic Basis of Heart FailureR01HL114437 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DENG, MARIO C., KARMA, ALAIN S · 2013 to 2016
$4.7M
Role of ABCC6 in cardivascular calcificationR01HL137241 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DEB, ARJUN · 2017 to 2020
$2.1M
Role of mesenchymal-endothelial-transition in cardiac hypertrophyR01HL129178 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DEB, ARJUN · 2015 to 2018
$1.5M
Functional Validation of Myh14 in Stress-Induced Cardiac Remodeling.K08HL133491 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WANG, JESSICA J · 2017 to 2021
$875k
NHLBI NIH HHS K08 HL133491NHLBI NIH HHS R01 HL114437NHLBI NIH HHS R01 HL129178NHLBI NIH HHS R01 HL137241NHLBI NIH HHS T32 HL007895NIGMS NIH HHS T32 GM007185
6 · The paper itself

Abstract

Cardiac failure has been widely associated with an increase in glucose utilization. The aim of our study was to identify factors that mechanistically bridge this link between hyperglycemia and heart failure. Here, we screened the Hybrid Mouse Diversity Panel (HMDP) for substrate-specific cardiomyocyte candidates based on heart transcriptional profile and circulating nutrients. Next, we utilized an in vitro model of rat cardiomyocytes to demonstrate that the gene expression changes were in direct response to substrate abundance. After overlaying candidates of interest with a separate HMDP study evaluating isoproterenol-induced heart failure, we chose to focus on the gene

Indexed as

AnimalsCardiomegalyCardiotonic AgentsCells, CulturedCell SizeGene Expression ProfilingGene Knockdown TechniquesGlucoseGlycogenGlycolysisIn Vitro TechniquesIsoproterenolMiceMyocytes, CardiacRatsRNA, Small InterferingCardiotonic AgentsGlucoseGlycogenIsoproterenolRNA, Small InterferingTp53inp2 protein, ratTranscription Factorsglucosehypertrophymetabolic shiftTrp53inp2

Identifiers

PMID28235788
PMCPMC5407157
OpenAlexW2590843911

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.