Literature DB >> 29677464

Improving the quality of preclinical research echocardiography: observations, training, and guidelines for measurement.

Daniel G Donner1, Helen Kiriazis1, Xiao-Jun Du1, Thomas H Marwick2, Julie R McMullen3.   

Abstract

Informal training in preclinical research may be a contributor to the poor reproducibility of preclinical cardiology research and low rates of translation into clinical research and practice. Mouse echocardiography is a widely used technique to assess cardiac structure and function in drug intervention studies using disease models. The interobserver variability of clinical echocardiographic measurements has been shown to improve with formalized training, but preclinical echocardiography lacks similarly critical standardization of training. The aims of this investigation were to assess the interobserver variability of echocardiographic measurements from studies in mice and address any technical impediments to reproducibility by implementing standardized guidelines through formalized training. In this prospective, single-site, observational cohort study, 13 scientists performing preclinical echocardiographic image analysis were assessed for measurement of short-axis M-mode-derived dimensions and calculated left ventricular (LV) mass. Ten M-mode images of mouse hearts acquired and analyzed by an expert researcher with a spectrum of LV mass were selected for assessment and validated by autopsy weight. After the initial observation, a structured formal training program was introduced, and accuracy and reproducibility were reevaluated. Mean absolute percentage error for expert-calculated LV mass was 6 ± 4% compared with autopsy LV mass and 25 ± 21% for participants before training. Standardized formal training improved participant mean absolute percentage error by ~30% relative to expert-calculated LV mass ( P < 0.001). Participants initially categorized with high-range error (25-45%) improved to low-moderate error ranges (<15-25%). This report reveals an example of technical skill training insufficiency likely endemic to preclinical research and provides validated guidelines for echocardiographic measurement for adaptation to formalized in-training programs. NEW &amp; NOTEWORTHY The informal training common to academic/research institutions may be a contributor to the relatively poor reproducibility observed for preclinical cardiac research. In our observation of echocardiography analysis in murine models, we present evidence of moderate interobserver variability in standard preclinical research practice at an Australian heart research institute. These observations give rise to our recommendations for practical guidelines for echocardiography analysis in an adaptable approach to general preclinical research skill training. Listen to this article's corresponding podcast at https://ajpheart.podbean.com/e/preclinical-echocardiography-training-and-guidelines/ .

Entities:  

Keywords:  echocardiography; preclinical research; reproducibility; research skills training; variability

Mesh:

Year:  2018        PMID: 29677464     DOI: 10.1152/ajpheart.00157.2018

Source DB:  PubMed          Journal:  Am J Physiol Heart Circ Physiol        ISSN: 0363-6135            Impact factor:   4.733


  10 in total

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Review 3.  The Pitfalls of in vivo Cardiac Physiology in Genetically Modified Mice - Lessons Learnt the Hard Way in the Creatine Kinase System.

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Journal:  Front Physiol       Date:  2021-05-14       Impact factor: 4.566

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Journal:  Br J Pharmacol       Date:  2019-05-30       Impact factor: 8.739

5.  In Vivo Inhibition of miR-34a Modestly Limits Cardiac Enlargement and Fibrosis in a Mouse Model with Established Type 1 Diabetes-Induced Cardiomyopathy, but Does Not Improve Diastolic Function.

Authors:  Bianca C Bernardo; Gunes S Yildiz; Helen Kiriazis; Claudia A Harmawan; Celeste M K Tai; Rebecca H Ritchie; Julie R McMullen
Journal:  Cells       Date:  2022-10-03       Impact factor: 7.666

6.  Loss of the long non-coding RNA OIP5-AS1 exacerbates heart failure in a sex-specific manner.

Authors:  Aowen Zhuang; Anna C Calkin; Shannen Lau; Helen Kiriazis; Daniel G Donner; Yingying Liu; Simon T Bond; Sarah C Moody; Eleanor A M Gould; Timothy D Colgan; Sergio Ruiz Carmona; Michael Inouye; Thomas Q de Aguiar Vallim; Elizabeth J Tarling; Gregory A Quaife-Ryan; James E Hudson; Enzo R Porrello; Paul Gregorevic; Xiao-Ming Gao; Xiao-Jun Du; Julie R McMullen; Brian G Drew
Journal:  iScience       Date:  2021-05-13

7.  Micro-CT scan with virtual dissection of left ventricle is a non-destructive, reproducible alternative to dissection and weighing for left ventricular size.

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Journal:  Front Physiol       Date:  2020-02-20       Impact factor: 4.566

9.  Old Drug, New Trick: Tilorone, a Broad-Spectrum Antiviral Drug as a Potential Anti-Fibrotic Therapeutic for the Diseased Heart.

Authors:  Duncan Horlock; David M Kaye; Catherine E Winbanks; Xiao-Ming Gao; Helen Kiriazis; Daniel G Donner; Paul Gregorevic; Julie R McMullen; Bianca C Bernardo
Journal:  Pharmaceuticals (Basel)       Date:  2021-03-15

10.  The SGLT-2 inhibitor empagliflozin improves myocardial strain, reduces cardiac fibrosis and pro-inflammatory cytokines in non-diabetic mice treated with doxorubicin.

Authors:  Vincenzo Quagliariello; Michelino De Laurentiis; Domenica Rea; Antonio Barbieri; Maria Gaia Monti; Andreina Carbone; Andrea Paccone; Lucia Altucci; Mariarosaria Conte; Maria Laura Canale; Gerardo Botti; Nicola Maurea
Journal:  Cardiovasc Diabetol       Date:  2021-07-23       Impact factor: 9.951

  10 in total

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