Acute regional changes in myocardial strain may predict ventricular remodelling after myocardial infarction in a large animal model

Figures

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  Figure 1. Depiction of workflow from imaging to derived final strains. Short-axis CMRIs with endocardial (green) and epicardial (blue) borders were traced, stacked and grouped into three regions: base, equator/mid, and apex. Strain was calculated for all slices, and the mean was then found by averaging strains in their regions. Finally, the resultant regional and global circumferential strains were found for each time point.

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  Figure 2. Representative longitudinal CMRI imaging of failing Left Ventricle. From left to right showing CMRI images from the same animal at baseline (A), acute (B) and chronic (C) time-points. Large images show stills of cinematic imaging in 3-chamber view orientation at end diastole demonstrating progressive thinning of the mid to apical antero-septal wall (orange arrows). Inset images show corresponding late gadolinium enhancement imaging demonstrating full thickness late gadolinium enhancement (red arrows).

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  Figure 3. (A-D) Overtime changes in apical and global circumferential strains. (A) Endocardial apical circumferential strain (ACS); (B) Epicardial apical circumferential strain (ACS); (C) Endocardial global circumferential strain (GCS); (D) Epicardial global circumferential strain (GCS). The two data points at the chronic time point with a red cross (in endocardial ACS and GCS) represent outliers greater than the third quartile plus 1.5 times the interquartile range. (E–G): Overtime changes in LVEF, endocardial and epicardial ACS rates. (E) Left Ventricular Ejection Fraction (LVEF); (F) Endocardial apical circumferential strain (ACS) rates; (G) Epicardial ACS rates. The asterisk denotes changes considered significant with p < 0.0024. Statistical test: Mann–Whitney (* = identifies significant difference)”.

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  Figure 4. Correlation between endocardial GCS and GLS with LVEF. Scatterplot between endocardial GCS and LVEF (A) and between endocardial GLS and LVEF (B). Each individual porcine specimen is denoted by a different marker and three different line colours are used to indicate the experimental time point of baseline, acute, and chronic.

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  Figure 5. Volcano plot representation of proteomics. Abundance ratios for changes in each protein are shown as log10 of p value of infarcted/health segments within the same hearts (n = 5) (R Software version 3.4.4, R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/).

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  Figure 6. Quantification of D-3PGDH and sFRP1 proteins by western blotting. All data presented as Mean ± SEM; n = 5 in each group. Quantification of D-3-phosphoglycerate dehydrogenase (D-3PGDH) and secreted frizzled-related protein 1 (sFRP1) in lysates of the infarcted myocardium (I) and non-infarcted myocardium (N). (A) Representative western blot of D-3PGDH; (B) Densitometric quantification of D-3PGDH; (C) Representative western blot for sFRP1; (D) Densitometric quantification of sFRP1 expression; (E) Representative western blot for anti-glyceraldehyde 3-phosphate dehydrogenase (GAPDH, used for control of protein loading); *P < 0.05 versus non-ischaemic myocardium. MW: molecular weight. Statistical Test used: Mann–Whitney. (Figure S1 shows the full blots for the proteins shown in this figure).