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目的通过观察cAMP、cGMP的含量和比值,以及对基因表达谱芯片的分析,从微观角度揭示家兔心气虚证心衰模型的发病机制。方法导管术造成家兔充血性心力衰竭,于15 d、30 d取血检测cAMP、cGMP含量并剪取心肌组织进行HE染色及病理观测损伤程度,并利用全基因表达谱芯片分析心气虚型心衰模型家兔的基因表达差异。结果①正常家兔的心肌细胞无损伤,造模15 d、30 d家兔均出现心肌细胞损伤,且30 d的损伤更加广泛和严重;②与正常对照组比较,造模15 d和30 d组cGMP含量增加(P<0.05),cAMP含量和cAMP/cGMP比值下降(P<0.05),且30 d组与15 d组比较cGMP含量增加(P<0.05),cAMP含量和cAMP/cGMP比值下降(P<0.05);③15 d、30 d模型组与正常对照组间差异基因的交集基因有665个,对NCBI中功能注释明确的家兔基因,应用序列比对来注释功能,得到16个功能明确的基因,它们主要与离子通道、肌收缩和信号转导等功能有关。结论血清cAMP、cGMP含量、cAMP/cGMP比值可较好地反映心气虚证家兔心衰的病变程度,可用于对该模型进行评价;交集的665个基因包含模型稳定影响的基因,对该部分基因进行分析挖掘有望找到受模型影响的特异基因。
Objective To investigate the pathogenesis of heart failure syndrome in rabbits with cardio-qi deficiency syndrome by observing the content and ratio of cAMP and cGMP and analyzing the gene expression profiling chips. Methods Congestive heart failure was induced by catheterization in rabbits. The levels of cAMP and cGMP in blood were measured at 15 d and 30 d. The myocardial tissues were harvested for HE staining and histopathological examination. The total gene expression profile Difference of gene expression in rabbits with decay model. Results ① The normal rabbit’s cardiomyocytes were not injured and the injury of cardiomyocytes occurred on the 15th and 30th day in rabbits, and the damage was more extensive and serious on the 30th day. ② Compared with the normal control group, The levels of cGMP and cAMP / cGMP decreased (P <0.05), and the levels of cGMP and cAMP / cGMP decreased in 30 d and 15 d (P <0.05). (3) There were 665 intersection genes between the model group and the normal control group on the 15th, the 30th day. For the rabbits with well-annotated function in NCBI, the sequences were annotated by sequence alignment, and 16 functions Clear genes, they are mainly related to ion channels, muscle contraction and signal transduction. Conclusions The serum levels of cAMP, cGMP and cAMP / cGMP can better reflect the degree of heart failure in rabbits with heart-qi Deficiency Syndrome and can be used to evaluate the model. The 665 genes involved in the model include genes that are affected by the stability of the model. Analysis of genes is expected to find specific genes affected by the model.