Evidence map›Paper›PMID 37524893›Full record

ArticleScientific reports2023

Myocardial deformation imaging by 2D speckle tracking echocardiography for assessment of diastolic dysfunction in murine cardiopathology.

L J Daniels, C Macindoe, P Koutsifeli, M Annandale, S L James, L E Watson, S Coffey, A J A Raaijmakers, K L Weeks, J R Bell and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Multimodal graph learning for chagas disease classification.Medical & biological engineering & computing · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. α-ALA Attenuates Cardiac Injury in Diabetic Heart Disease Mice by Modulating Inflammation and AMPKα1.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. 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

14 authors.

L J DanielsCellular and Molecular Cardiology Laboratory, Department of Physiology, University of Auckland, Auckland, New Zealand.
C MacindoeCellular and Molecular Cardiology Laboratory, Department of Physiology, University of Auckland, Auckland, New Zealand.
P KoutsifeliCellular and Molecular Cardiology Laboratory, Department of Physiology, University of Auckland, Auckland, New Zealand.
M AnnandaleCellular and Molecular Cardiology Laboratory, Department of Physiology, University of Auckland, Auckland, New Zealand.
S L JamesCellular and Molecular Cardiology Laboratory, Department of Physiology, University of Auckland, Auckland, New Zealand.
L E WatsonCellular and Molecular Cardiology Laboratory, Department of Physiology, University of Auckland, Auckland, New Zealand.
S CoffeyDepartment of Medicine, University of Otago, Dunedin, New Zealand.
A J A RaaijmakersDepartment of Anatomy and Physiology, University of Melbourne, Melbourne, Australia.
K L WeeksDepartment of Anatomy and Physiology, University of Melbourne, Melbourne, Australia.
J R BellDepartment of Anatomy and Physiology, University of Melbourne, Melbourne, Australia.
J V JanssensDepartment of Anatomy and Physiology, University of Melbourne, Melbourne, Australia.
C L CurlDepartment of Anatomy and Physiology, University of Melbourne, Melbourne, Australia.
L M D DelbridgeDepartment of Anatomy and Physiology, University of Melbourne, Melbourne, Australia.
Kimberley M MellorCellular and Molecular Cardiology Laboratory, Department of Physiology, University of Auckland, Auckland, New Zealand. k.mellor@auckland.ac.nz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diastolic dysfunction is increasingly identified as a key, early onset subclinical condition characterizing cardiopathologies of rising prevalence, including diabetic heart disease and heart failure with preserved ejection fraction (HFpEF). Diastolic dysfunction characterization has important prognostic value in management of disease outcomes. Validated tools for in vivo monitoring of diastolic function in rodent models of diabetes are required for progress in pre-clinical cardiology studies. 2D speckle tracking echocardiography has emerged as a powerful tool for evaluating cardiac wall deformation throughout the cardiac cycle. The aim of this study was to examine the applicability of 2D speckle tracking echocardiography for comprehensive global and regional assessment of diastolic function in a pre-clinical murine model of cardio-metabolic disease. Type 2 diabetes (T2D) was induced in C57Bl/6 male mice using a high fat high sugar dietary intervention for 20 weeks. Significant impairment in left ventricle peak diastolic strain rate was evident in longitudinal, radial and circumferential planes in T2D mice. Peak diastolic velocity was similarly impaired in the longitudinal and radial planes. Regional analysis of longitudinal peak diastolic strain rate revealed that the anterior free left ventricular wall is particularly susceptible to T2D-induced diastolic dysfunction. These findings provide a significant advance on characterization of diastolic dysfunction in a pre-clinical mouse model of cardiopathology and offer a comprehensive suite of benchmark values for future pre-clinical cardiology studies.

Indexed as

Diabetes Mellitus, Type 2Heart FailureVentricular Dysfunction, LeftAnimalsEchocardiographyMaleMiceMyocardiumStroke VolumeVentricular Function, Left

Identifiers

PMID37524893
PMCPMC10390581

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Registered trials

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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.