Bossé Yohan, Miqdad Ahmed, Fournier Dominique, Pépin Andrée, Pibarot Philippe, Mathieu Patrick
Institut universitaire de cardiologie et de pneumologie de Québec, Laval University, Pavillon Margeritte-d'Youville, Y4190, 2725, Chemin Sainte-Foy, Québec City, Québec, Canada.
Circ Cardiovasc Genet. 2009 Oct;2(5):489-98. doi: 10.1161/CIRCGENETICS.108.820795. Epub 2009 Jul 8.
BACKGROUND: Calcific aortic valve stenosis (AS) is a major societal and economic burden that is rising after the current shift toward an older population. Understanding the pathobiology of AS is crucial to implementing better preventive and therapeutic options. Research conducted during the past decade clearly points to active molecular and cellular processes involved in disease pathogenesis. However, no genomic approaches were used to identify genes and pathways that are differentially regulated in aortic valves of patients with and without AS. METHODS AND RESULTS: A large-scale quantitative measurements of gene expression was performed on 5 normal and 5 AS valves using Affymetrix GeneChips. A total of 409 and 306 genes were significantly up- and downregulated in AS valves, respectively. The 2 most highly upregulated genes were matrix metalloproteinase 12 and chitinase 3-like 1. The upregulation of these 2 biologically relevant genes in AS was validated by real-time polymerase chain reaction in 38 aortic valves (12 normal and 26 AS). To provide a global biological validation of the whole-genome gene expression analysis, the microarray experiment was repeated in a second set of aortic valves with (n=5) or without (n=5) AS. There was an overrepresentation of small P values among genes claimed significant in the first microarray experiment. A total of 223 genes were replicated (P<0.05 and fold change >1.2), including matrix metalloproteinase 12 and chitinase 3-like 1. CONCLUSIONS: This study reveals many unrecognized genes potentially implicated in the pathogenesis of AS. These new genes were overlaid on known pathological pathways leading to AS to refine our molecular understanding of this disease.
背景:钙化性主动脉瓣狭窄(AS)是一项重大的社会和经济负担,在当前人口老龄化趋势下,其负担正在加重。了解AS的病理生物学对于实施更好的预防和治疗方案至关重要。过去十年的研究明确指出,疾病发病机制中涉及活跃的分子和细胞过程。然而,尚未采用基因组学方法来识别在有或无AS的患者主动脉瓣中差异调节的基因和通路。 方法与结果:使用Affymetrix基因芯片对5个正常主动脉瓣和5个AS主动脉瓣进行了大规模基因表达定量测量。AS主动脉瓣中分别有409个和306个基因显著上调和下调。上调最显著的2个基因是基质金属蛋白酶12和几丁质酶3样蛋白1。通过实时聚合酶链反应在38个主动脉瓣(12个正常和26个AS)中验证了这2个与生物学相关的基因在AS中的上调情况。为了对全基因组基因表达分析进行全面的生物学验证,在另一组有(n = 5)或无(n = 5)AS的主动脉瓣中重复了微阵列实验。在第一个微阵列实验中声称显著的基因中,小P值的比例过高。共有223个基因得到重复验证(P < 0.05且倍数变化> 1.2),包括基质金属蛋白酶12和几丁质酶3样蛋白1。 结论:本研究揭示了许多可能与AS发病机制相关的未被认识的基因。这些新基因叠加在已知的导致AS的病理通路上,以完善我们对该疾病的分子理解。
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