【Abstract】 Objective To confirm whether the gene of PPARα imposes influences on the physiology, biochemistry index of mouse. The index of PPARα transgenic mouse is collected, analysed and the difference is obstained. The database content of transgenic mouse is enriched to provide the theoretical basis that can make the animal model apply in the preclinical drug evaluation. Methods The experiment animals were divided into 4 groups: PPARα male group（PPARα ♂）、PPARα female group (PPARα ♀)、C57BL/6 male group (C57BL/6 ♂)、C57BL/6 female group. (C57BL/6 ♀) . When the mice were at the age of 10 weeks, 14weeks, 18weeks, 22weeks, 34weeks, the blood routine , blood biochemistry of them were detected. At the age of 26 weeks，the pathological changes of heart, liver, kidney were detected .At the same time , the growth of them were observed. Results PPARα transgenic mice were compared with C57BL/6 mice ①The weight: When the animals were 6-23-week-old , there was no difference between the weight of PPARα transgenic mice and that of C57BL/6 mice（P＞0.05）. ②The blood routine : At the age of 10 weeks, the RBC、BAS%、LYM% of PPARα ♀ mice were obviously higher than those of C57BL/6 ♀ mice (P＜0.01) . At the age of 14 weeks, the WBC、LYM% of PPARα ♂ mice were obviously higher than those of C57BL/6 ♂ mice (P＜0.05). ③The blood biochemical index: At the age of 10 weeks, the BUN、LDL-C of PPARα ♂ mice were obviously higher than those of C57BL/6 ♂ mice (P＜0.05). At the age of 14 weeks, the AST、TG of PPARα ♂mice were obviously lower than those of C57BL/6 ♂ mice (P＜0.05). ④ The histopathology: Compared with C57BL/6 mouse,the heart of PPARα transgenic mice at the age of 26 weeks had no obvious change. The liver cell of them had transparent lesions , and the tubular epithelial cells had steatosis . Conclusion The weight, blood routine , blood biochemistry，pathology date of PPARα transgenic mice were systematically collected . The difference between PPARα transgenic mouse and C57BL/6 mouse was successfully analysed, and the referential date was provided for the application of the model.