Chinese Journal of Tissue Engineering Research ›› 2018, Vol. 22 ›› Issue (32): 5085-5090.doi: 10.3969/j.issn.2095-4344.0395
Zhang Shu-dong1, Zhao Si-cong2, Li Shi-fei1, Zhou Jian1, Yao Qi1, 3
Received:
2018-08-07
Online:
2018-11-18
Published:
2018-11-18
Contact:
Yao Qi, MD, Chief physician, Master’s supervisor, Department of Orthopedics, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; Chinese PLA General Hospital, Beijing 100853, China
About author:
Zhang Shu-dong, Master candidate, Department of Orthopedics, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China
Supported by:
a grant from the Beijing Municipal Science & Technology Commission, No. Z151100003915094
CLC Number:
Zhang Shu-dong1, Zhao Si-cong2, Li Shi-fei1, Zhou Jian1, Yao Qi1, 3. Therapeutic targets of osteoporosis: correlation of age, body mass index, blood glucose and blood lipids with sclerostin and DKK-1[J]. Chinese Journal of Tissue Engineering Research, 2018, 22(32): 5085-5090.
2.1 参与者数量分析 经严格筛选后试验共纳入70例男性受试者,全部进入结果分析。 2.2 受试者的基本特点 70例成年男性的相关资料包括血清骨硬化蛋白、DKK-1、年龄、体质量指数、空腹血糖、三酰甘油、总胆固醇、高密度脂蛋白胆固醇、低密度脂蛋白胆固醇,将其数值进行统计学描述(见表1)。 2.3 骨硬化蛋白、DKK-1与各因素不同水平的比较及其相关性分析 以《中国成人血脂异常防治指南》为依据[18],结合该次收集的数据选择合适的分组方法,对各因素进行统计学分析,以分析各因素不同水平之间骨硬化蛋白和DKK-1是否存在差异。 2.3.1 骨硬化蛋白在各因素不同水平中的比较 综合分析数据后将各因素分为不同水平,分析不同水平之间血清"
骨硬化蛋白水平,分组方法和统计学分析结果见表2,结果显示不同年龄、体质量指数、空腹血糖水平的骨硬化蛋白差异有显著性意义(P < 0.05),可以认为在相应因素的不同水平中骨硬化蛋白水平存在差异。 2.3.2 DKK-1在各因素不同水平中的比较 参考各因素不同水平中骨硬化蛋白分析方法,对DKK-1进行差异分析,分组信息和分析结果见表3,结果显示不同年龄组中骨硬化蛋白水平统计学分析P < 0.05,结果存在统计学意义,可以认为不同年龄阶段DKK-1的水平存在差异。 2.3.3 骨硬化蛋白与DKK-1的相关性分析 骨硬化蛋白和DKK-1都可以通过与LRP5/6的相互作用参与经典Wnt信号通路的调节过程,该次研究将测得的骨硬化蛋白与DKK-1水平进行相关性分析,检验两者之间是否存在相互作用机制,结果显示两者Pearson Correlation=0.138,P=0.254,两者之间不存在相关性。"
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