Dataset Information

Long-term left ventricular remodelling in rat model of nonreperfused myocardial infarction: sequential MR imaging using a 3T clinical scanner.

ABSTRACT: Purpose. To evaluate whether 3T clinical MRI with a small-animal coil and gradient-echo (GE) sequence could be used to characterize long-term left ventricular remodelling (LVR) following nonreperfused myocardial infarction (MI) using semi-automatic segmentation software (SASS) in a rat model. Materials and Methods. 5 healthy rats were used to validate left ventricular mass (LVM) measured by MRI with postmortem values. 5 sham and 7 infarcted rats were scanned at 2 and 4 weeks after surgery to allow for functional and structural analysis of the heart. Measurements included ejection fraction (EF), end-diastolic volume (EDV), end-systolic volume (ESV), and LVM. Changes in different regions of the heart were quantified using wall thickness analyses. Results. LVM validation in healthy rats demonstrated high correlation between MR and postmortem values. Functional assessment at 4 weeks after MI revealed considerable reduction in EF, increases in ESV, EDV, and LVM, and contractile dysfunction in infarcted and noninfarcted regions. Conclusion. Clinical 3T MRI with a small animal coil and GE sequence generated images in a rat heart with adequate signal-to-noise ratio (SNR) for successful semiautomatic segmentation to accurately and rapidly evaluate long-term LVR after MI.

SUBMITTER: Saleh MG

PROVIDER: S-EPMC3479400 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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Long-term left ventricular remodelling in rat model of nonreperfused myocardial infarction: sequential MR imaging using a 3T clinical scanner.

Saleh Muhammad G MG Sharp Sarah-Kate SK Alhamud Alkathafi A Spottiswoode Bruce S BS van der Kouwe Andre J W AJ Davies Neil H NH Franz Thomas T Meintjes Ernesta M EM

Journal of biomedicine & biotechnology 20121004

Purpose. To evaluate whether 3T clinical MRI with a small-animal coil and gradient-echo (GE) sequence could be used to characterize long-term left ventricular remodelling (LVR) following nonreperfused myocardial infarction (MI) using semi-automatic segmentation software (SASS) in a rat model. Materials and Methods. 5 healthy rats were used to validate left ventricular mass (LVM) measured by MRI with postmortem values. 5 sham and 7 infarcted rats were scanned at 2 and 4 weeks after surgery to all ...[more]

PMID: 23118511

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Project description:We report a genome-wide survey of early responses of the mouse heart transcriptome to acute myocardial infarction (AMI). For three regions of the left ventricle (LV), namely ischemic/infarcted tissue (IF), the surviving LV free wall (FW) and the interventricular septum (IVS), 36,899 transcripts were assayed at six time points from 15 min to 48 h post-AMI in both AMI and sham surgery mice. For each transcript, temporal expression patterns were systematically compared between AMI and sham groups, which identified 515 AMI-responsive genes in IF tissue, 35 in the FW, 7 in the IVS, with three genes induced in all three regions. Using the literature, we assigned functional annotations to all 519 nonredundant AMI-induced genes and present two testable models for central signaling pathways induced early post-AMI. First, the early induction of 15 genes involved in assembly and activation of the activator protein-1 (AP-1) family of transcription factors implicates AP-1 as a dominant regulator of earliest post-ischemic molecular events. Second, dramatic increases in transcripts for arginase 1 (ARG1), the enzymes of polyamine biosynthesis and protein inhibitor of nitric oxide synthase (NOS) activity indicates that NO production may be regulated, in part, by inhibition of NOS and coordinate depletion of the NOS substrate, L-arginine. ARG1 was the single most highly induced transcript in the database (121-fold in IF region) and its induction in heart has not been previously reported. Keywords: heart attack, mouse, time course, regional responses We report temporal and regional changes in steady state mRNA levels in the mouse LV following a surgically-induced AMI. Three regions of the infarcted LV were surveyed: IF, FW and IVS. For each region, mRNA levels were assayed at t=0 and six time points after occlusion of the left anterior descending coronary artery (t = 15 min, 1 h, 4 h, 12 h, 24 h, 48 h). As control, an identical time course was carried out in the mouse LV after sham surgery in which the suture was passed under the artery, but not ligated. For sham surgical mice and naïve mice (t=0), the IVS and the LV free wall were harvested and assayed. The AMI and sham time courses were repeated for a total of two independent repetitions of the experiment. For each repetition, 96 GeneChips were hybridized. Thus, for two repetitions, 192 GeneChips (2 x 96) were hybridized. In addition, the naïve time point was assayed a second time during Repetition 1 for six additional GeneChips (two tissues x three chips). The overall total number of samples is 198 GeneChips (192 + 6). Total RNA was isolated from each individual tissue sample. Equal weights of total RNA from 4-10 mice were combined for each LV region, time point and treatment. Copy RNA mixtures were synthesized from each total RNA pool and hybridized to the Affymetrix GeneChip set MG U74 v2 (A, B, and C) that carries 36,899 probe sets. The global normalization of fluorescence emissions for the 198 GeneChips used in this study and their conversion to relative transcript concentrations measured in relative fluorescence units (RFU) was conducted using Robust Multi-array Averaging (RMA; www.bioconductor.org). Each of the 198 Accessions is titled as follows: time point / treatment / tissue, repetition, GeneChip. The additional assays of naïve mice in Repetition 1 are labeled “Naive2”.

Dataset Information

Long-term left ventricular remodelling in rat model of nonreperfused myocardial infarction: sequential MR imaging using a 3T clinical scanner.

Publications

Long-term left ventricular remodelling in rat model of nonreperfused myocardial infarction: sequential MR imaging using a 3T clinical scanner.

Similar Datasets

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