Evidence map›Paper›PMID 26654913›Full record

ArticleJournal of molecular and cellular cardiology2016

Early detection of cardiac dysfunction in the type 1 diabetic heart using speckle-tracking based strain imaging.

Danielle L Shepherd, Cody E Nichols, Tara L Croston, Sarah L McLaughlin, Ashley B Petrone, Sara E Lewis, Dharendra Thapa, Dustin M Long, Gregory M Dick, John M Hollander

Abstract read
In one paragraph

Article in Journal of molecular and cellular cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

28 citing papers in PubMed, 48 citations in OpenAlex.

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  8. Standardisation and future of preclinical echocardiography.Mammalian genome : official journal of the International Mammalian Genome Society · 2023
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  9. Activation of Kir2.1 improves myocardial fibrosis by inhibiting CaActa biochimica et biophysica Sinica · 2023
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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

10 authors at 1 institution in 1 country.

Danielle L ShepherdDepartment of Exercise Physiology, Center for Cardiovascular and Respiratory Sciences, School of Medicine, West Virginia University, Morgantown, WV, 26505, United States.
Cody E NicholsDepartment of Exercise Physiology, Center for Cardiovascular and Respiratory Sciences, School of Medicine, West Virginia University, Morgantown, WV, 26505, United States.
Tara L CrostonDepartment of Exercise Physiology, Center for Cardiovascular and Respiratory Sciences, School of Medicine, West Virginia University, Morgantown, WV, 26505, United States.
Sarah L McLaughlinDepartment of Cancer Cell Biology, School of Medicine, West Virginia University, Morgantown, WV 26505, United States.
Ashley B PetroneDepartment of Neurobiology and Anatomy, School of Medicine, West Virginia University, Morgantown, WV 26505, United States.
Sara E LewisDepartment of Exercise Physiology, Center for Cardiovascular and Respiratory Sciences, School of Medicine, West Virginia University, Morgantown, WV, 26505, United States.
Dharendra ThapaDepartment of Exercise Physiology, Center for Cardiovascular and Respiratory Sciences, School of Medicine, West Virginia University, Morgantown, WV, 26505, United States.
Dustin M LongDepartment of Biostatistics, School of Public Health, Robert C. Byrd Health Sciences Center, West Virginia University, Morgantown, WV 26505, United States.
Gregory M DickDepartment of Exercise Physiology, Center for Cardiovascular and Respiratory Sciences, School of Medicine, West Virginia University, Morgantown, WV, 26505, United States.
John M HollanderDepartment of Exercise Physiology, Center for Cardiovascular and Respiratory Sciences, School of Medicine, West Virginia University, Morgantown, WV, 26505, United States. Electronic address: jhollander@hsc.wvu.edu.
West Virginia University · US

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Sally Lynn Hodder · 2012 to 2026
$81.0M
THE ROLE OF HEF1 PROTEIN IN INVASION OF METASTATIC BREAST CANCERP20RR016440 · NCRR · WEST VIRGINIA UNIVERSITY · PI HARNER, JAMES · 2001 to 2010
$22.8M
West Virginia Flow Cytometry Core FacilityP30GM103488 · NIGMS · WEST VIRGINIA UNIVERSITY · PI GIBSON, LAURA F. · 2012 to 2016
$4.8M
Mechanisms of Diabetic Cardiomyopathy: Mitochondria Subpopulations Brought to FocDP2DK083095 · NIDDK · WEST VIRGINIA UNIVERSITY · PI HOLLANDER, JOHN M · 2008 to 2010
$2.3M
Research Training in Cardiovascular and Pulmonary DiseasesT32HL090610 · NHLBI · WEST VIRGINIA UNIVERSITY · PI MUSTAFA, S. JAMAL · 2008 to 2012
$1.5M
miRNA Regulation of the Mitochondrial GenomeR01HL128485 · NHLBI · WEST VIRGINIA UNIVERSITY · PI HOLLANDER, JOHN M · 2017 to 2019
$1.3M
Visual Sonics Vevo 2100 Imaging SystemS10RR026378 · NCRR · WEST VIRGINIA UNIVERSITY · PI MARTIN, KAREN H · 2010 to 2010
$454k
miRNA Regulation of the Mitochondrial GenomeR56HL128485 · NHLBI · WEST VIRGINIA UNIVERSITY · PI HOLLANDER, JOHN M · 2015 to 2015
$410k
NCRR NIH HHS P20 RR016440NCRR NIH HHS S10 RR026378NHLBI NIH HHS NIH R56 HL128485NHLBI NIH HHS NIH T32HL090610NHLBI NIH HHS R01 HL128485NHLBI NIH HHS R56 HL128485NHLBI NIH HHS T32 HL090610NIDDK NIH HHS DP2 DK083095NIDDK NIH HHS NIH DP2DK083095NIGMS NIH HHS NIH U54GM104942NIGMS NIH HHS P30 GM103488NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

Enhanced sensitivity in echocardiographic analyses may allow for early detection of changes in cardiac function beyond the detection limits of conventional echocardiographic analyses, particularly in a small animal model. The goal of this study was to compare conventional echocardiographic measurements and speckle-tracking based strain imaging analyses in a small animal model of type 1 diabetes mellitus. Conventional analyses revealed differences in ejection fraction, fractional shortening, cardiac output, and stroke volume in diabetic animals relative to controls at 6-weeks post-diabetic onset. In contrast, when assessing short- and long-axis speckle-tracking based strain analyses, diabetic mice showed changes in average systolic radial strain, radial strain rate, radial displacement, and radial velocity, as well as decreased circumferential and longitudinal strain rate, as early as 1-week post-diabetic onset and persisting throughout the diabetic study. Further, we performed regional analyses for the LV and found that the free wall region was affected in both the short- and long-axis when assessing radial dimension parameters. These changes began 1-week post-diabetic onset and remained throughout the progression of the disease. These findings demonstrate the use of speckle-tracking based strain as an approach to elucidate cardiac dysfunction from a global perspective, identifying left ventricular cardiac regions affected during the progression of type 1 diabetes mellitus earlier than contractile changes detected by conventional echocardiographic measurements.

Indexed as

AnimalsCardiac OutputDiabetes Mellitus, ExperimentalDiabetic CardiomyopathiesDiastoleEchocardiographyHeart VentriclesMaleMiceStroke VolumeSystoleVentricular Dysfunction, LeftCardiac functionDiabetes mellitusDiabetic cardiomyopathyEchocardiographySpeckle-tracking imagingStrain analysis

Identifiers

PMID26654913
PMCPMC4725063
OpenAlexW2236806288

What OpenQuestion holds

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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.