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目的 观察血管紧张素Ⅱ (AngⅡ )AT1受体拮抗剂缬沙坦和盐皮质激素受体拮抗剂螺内酯对自发性高血压大鼠(SHR)主动脉生长因子和Ⅰ型胶原的影响。方法 将 18只雄性SHR随机分为三组 :SHR阳性对照组、缬沙坦治疗组、螺内酯治疗组 ,每组 6只 ;两治疗组分别用缬沙坦 3 0mg·kg-1·d-1、螺内酯 2 0mg·kg-1·d-1溶于饮水灌胃 ,1次 /d ,连续治疗 13周 ;两对照组给正常饮水。鼠尾法测大鼠尾动脉收缩压。用RT -PCR方法检测大鼠主动脉TGFβ1、HGF、Ⅰ型胶原mRNA水平。结果 治疗 13周后缬沙坦组和螺内酯组TGFβ1、Ⅰ型胶原mRNA水平组明显低于SHR对照组 ( P <0 0 1) ,但较WKY组有所升高 ( P <0 0 1)。SHR对照组的HGFmRNA水平低于WKY组 (P <0 0 1) ,缬沙坦组和螺内酯组的HGFmRNA水平高于SHR对照组 (P <0 0 1,P <0 0 5 ) ,低于WKY组 (P <0 0 1)。结论 AngⅡAT1受体拮抗剂缬沙坦和盐皮质激素受体拮抗剂螺内酯均能抑制SHR的血管纤维化 ,在药物干预的过程中同时伴HGFmRNA水平升高。HGF具有抗血管重塑的作用
Objective To investigate the effects of valsartan, an AT1 receptor antagonist of angiotensin Ⅱ (AngⅡ), and spironolactone, a mineralocorticoid receptor antagonist, on aorta growth factor and type Ⅰ collagen in spontaneously hypertensive rats (SHR). Methods Eighteen male SHRs were randomly divided into three groups: SHR positive control group, valsartan treatment group and spironolactone treatment group, with 6 rats in each group. The two treatment groups were treated with valsartan 30 mg · kg -1 · d -1 , Spironolactone 20mg · kg-1 · d-1 dissolved in drinking water, 1 / d, continuous treatment for 13 weeks; two control group to normal drinking water. Measurement of rat tail artery systolic pressure by rat tail test. The level of TGFβ1, HGF and type Ⅰ collagen in rat aorta were detected by RT-PCR. Results After 13 weeks of treatment, the levels of TGFβ1 and type Ⅰ collagen mRNA in valsartan and spironolactone groups were significantly lower than those in SHR control group (P <0.01), but higher than those in WKY group (P <0.01). The level of HGF mRNA in SHR control group was lower than that in WKY group (P <0.01). The level of HGF mRNA in valsartan group and spironolactone group was higher than that of SHR control group (P <0.01, P <0 05) Group (P <0 0 1). Conclusions Both AngⅡAT1 receptor antagonist valsartan and mineralocorticoid receptor antagonist spironolactone can inhibit the vascular fibrosis of SHR, and the level of HGF mRNA is increased during the drug intervention. HGF has anti-vascular remodeling effect