Blaxall Burns C, Spang Rainer, Rockman Howard A, Koch Walter J
Department of Surgery, Duke University Medical Center, Durham, North Carolina 27710 , USA.
Physiol Genomics. 2003 Oct 17;15(2):105-14. doi: 10.1152/physiolgenomics.00087.2003.
Numerous murine models of heart failure (HF) have been described, many of which develop progressive deterioration of cardiac function. We have recently demonstrated that several of these can be "rescued" or prevented by transgenic cardiac expression of a peptide inhibitor of the beta-adrenergic receptor kinase (betaARKct). To uncover genomic changes associated with cardiomyopathy and/or its phenotypic rescue by the betaARKct, oligonucleotide microarray analysis of left ventricular (LV) gene expression was performed in a total of 53 samples, including 12 each of Normal, HF, and Rescue. Multiple statistical analyses demonstrated significant differences between all groups and further demonstrated that betaARKct Rescue returned gene expression toward that of Normal. In our statistical analyses, we found that the HF phenotype is blindly predictable based solely on gene expression profile. To investigate the progression of HF, LV gene expression was determined in young mice with mildly diminished cardiac function and in older mice with severely impaired cardiac function. Interestingly, mild and advanced HF mice shared similar gene expression profiles, and importantly, the mild HF mice were predicted as having a HF phenotype when blindly subjected to our predictive model described above. These data not only validate our predictive model but further demonstrate that, in these mice, the HF gene expression profile appears to already be set in the early stages of HF progression. Thus we have identified methodologies that have the potential to be used for predictive genomic profiling of cardiac phenotype, including cardiovascular disease.
已经描述了许多心力衰竭(HF)的小鼠模型,其中许多模型会出现心脏功能的进行性恶化。我们最近证明,其中一些模型可以通过β-肾上腺素能受体激酶的肽抑制剂(βARKct)的转基因心脏表达来“挽救”或预防。为了揭示与心肌病和/或其通过βARKct进行的表型挽救相关的基因组变化,对总共53个样本进行了左心室(LV)基因表达的寡核苷酸微阵列分析,包括正常组、HF组和挽救组各12个样本。多项统计分析表明所有组之间存在显著差异,并进一步表明βARKct挽救使基因表达恢复到正常水平。在我们的统计分析中,我们发现仅基于基因表达谱就可以盲目预测HF表型。为了研究HF的进展,在心脏功能轻度减弱的年轻小鼠和心脏功能严重受损的老年小鼠中测定了LV基因表达。有趣的是,轻度和重度HF小鼠具有相似的基因表达谱,重要的是,当轻度HF小鼠盲目接受我们上述的预测模型时,被预测具有HF表型。这些数据不仅验证了我们的预测模型,还进一步证明,在这些小鼠中,HF基因表达谱似乎在HF进展的早期阶段就已经确定。因此,我们已经确定了有可能用于心脏表型(包括心血管疾病)的预测基因组分析的方法。