Evidence map›Paper›PMID 35743252›Full record

ArticleInternational journal of molecular sciences2022

Derangements and Reversibility of Energy Metabolism in Failing Hearts Resulting from Volume Overload: Transcriptomics and Metabolomics Analyses.

Ying-Chang Tung, Mei-Ling Cheng, Lung-Sheng Wu, Hsiang-Yu Tang, Cheng-Yu Huang, Gwo-Jyh Chang, Chi-Jen Chang

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

7 authors at 1 institution in 1 country.

Ying-Chang TungDepartment of Cardiology, Linkou Chang Gung Memorial Hospital, Taoyuan 33323, Taiwan.
Mei-Ling ChengMetabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan 33323, Taiwan.ORCID 0000-0003-2006-133X
Lung-Sheng WuDepartment of Cardiology, Linkou Chang Gung Memorial Hospital, Taoyuan 33323, Taiwan.
Hsiang-Yu TangMetabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan 33323, Taiwan.ORCID 0000-0002-2536-6370
Cheng-Yu HuangMetabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan 33323, Taiwan.
Gwo-Jyh ChangGraduate Institute of Clinical Medicinal Sciences, College of Medicine, Chang Gung University, Taoyuan 33323, Taiwan.ORCID 0000-0001-6967-8758
Chi-Jen ChangDepartment of Cardiology, Linkou Chang Gung Memorial Hospital, Taoyuan 33323, Taiwan.
Chang Gung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Derangements in cardiac energy metabolism have been shown to contribute to the development of heart failure (HF). This study combined transcriptomics and metabolomics analyses to characterize the changes and reversibility of cardiac energetics in a rat model of cardiac volume overload (VO) with the creation and subsequent closure of aortocaval fistula. Male Sprague-Dawley rats subjected to an aortocaval fistula surgery for 8 and 16 weeks exhibited characteristics of compensated hypertrophy (CH) and HF, respectively, in echocardiographic and hemodynamic studies. Glycolysis was downregulated and directed to the hexosamine biosynthetic pathway (HBP) and

Indexed as

Heart FailureTranscriptomeAnimalsEnergy MetabolismFatty AcidsMaleMetabolomicsMyocardiumRatsRats, Sprague-DawleyFatty Acidscompensated hypertrophyenergy metabolismheart failurevolume overload

Identifiers

PMID35743252
PMCPMC9224487
OpenAlexW4283123958

What OpenQuestion holds

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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.