Pravenec Michal
Institute of Physiology, Czech Academy of Sciences, Prague, Czech Republic.
Methods Mol Biol. 2010;597:415-26. doi: 10.1007/978-1-60327-389-3_28.
The spontaneously hypertensive rat (SHR) is the most widely used animal model of essential hypertension and accompanying metabolic disturbances. In this model, the use of whole genome sequencing and gene expression profiling techniques, linkage and correlation analyses in recombinant inbred strains, and in vitro and in vivo functional studies in congenic and transgenic lines has recently enabled molecular identification of quantitative trait loci (QTLs) relevant to the metabolic syndrome: (1) a deletion variant in Cd36 (fatty acid translocase) responsible for QTLs on chromosome 4 associated with dyslipidemia, insulin resistance and hypertension, (2) mutated Srebf1 (sterol regulatory element binding factor 1) as a QTL on chromosome 10 influencing dietary-induced changes in hepatic cholesterol levels, and (3) Ogn (osteoglycin) as a QTL on chromosome 17 associated with left ventricular hypertrophy. In addition, selective replacement of the mitochondrial genome of the SHR with the mitochondrial genome of the Brown Norway rat influenced several major metabolic risk factors for type 2 diabetes and provided evidence that spontaneous variation in the mitochondrial genome per se can promote systemic metabolic disturbances relevant to the pathogenesis of metabolic syndrome. Owing to recent progress in the development of rat genomic resources, the pace of QTL identification and discovery of new disease mechanisms can be expected to accelerate in the near future.
自发性高血压大鼠(SHR)是最广泛使用的原发性高血压及伴随代谢紊乱的动物模型。在该模型中,利用全基因组测序和基因表达谱技术、重组近交系中的连锁和相关性分析,以及同源基因系和转基因系中的体外和体内功能研究,最近已实现了对与代谢综合征相关的数量性状基因座(QTL)的分子鉴定:(1)Cd36(脂肪酸转运蛋白)中的一个缺失变异体,它是4号染色体上与血脂异常、胰岛素抵抗和高血压相关的QTL的原因;(2)突变的Srebf1(固醇调节元件结合因子1)作为10号染色体上的一个QTL,影响饮食诱导的肝脏胆固醇水平变化;(3)Ogn(骨甘蛋白)作为17号染色体上与左心室肥厚相关的一个QTL。此外,用棕色挪威大鼠的线粒体基因组选择性替换SHR的线粒体基因组,影响了2型糖尿病的几个主要代谢危险因素,并提供了证据表明线粒体基因组本身的自发变异可促进与代谢综合征发病机制相关的全身代谢紊乱。由于大鼠基因组资源开发的最新进展,预计在不久将来QTL鉴定和新疾病机制发现的速度将会加快。