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基于指标量化的高尿酸血症鹌鹑模型中医证候分型研究
引用本文:林志健,刘小青,张冰,薛春苗,刘秀兰,吴丽丽,朱文静.基于指标量化的高尿酸血症鹌鹑模型中医证候分型研究[J].中华中医药杂志,2011(5):1072-1076.
作者姓名:林志健  刘小青  张冰  薛春苗  刘秀兰  吴丽丽  朱文静
作者单位:北京中医药大学中药学院
基金项目:国家自然科学基金资助项目(No.81073068,30472282);北京市自然科学基金项目(No.7052036);国家重点基础研究发展计划(973计划)课题(No.2007CB512605)~~
摘    要:目的:客观量化鹌鹑尿酸、粪尿及舌象等指标,探讨高尿酸血症鹌鹑模型的中医证候分型,为鹌鹑证候模型评价研究提供参考。方法:采用肥甘厚味(高嘌呤饮食)诱导鹌鹑高尿酸血症模型,动态观察鹌鹑血清尿酸水平,排泄物粪尿情况。并在高尿酸血症状态下采集鹌鹑舌头图像,运用图像分析技术量化鹌鹑舌象。探讨高尿酸血症鹌鹑中医证候类型。结果:实验第17、30d模型组鹌鹑6h粪尿湿重有升高趋势,粪尿较溏稀气味较大;正常组鹌鹑舌色以红色调为主,模型组鹌鹑舌色变淡呈淡白舌;实验第22d舌象红色度r及红色面积占舌体面积比显著下降;第32d红色度r及红色面积占舌体面积比显著下降;绿色度g显著升高。实验室检查显示第14、21d血清尿酸水平显著升高,第35d尿酸水平有升高趋势;体质量未见明显差异。结论:采用肥甘厚味(高嘌呤饮食)诱导法,可成功诱导鹌鹑高尿酸血症。定量"问诊"、闻诊及望诊提示模型动物部分病理改变与饮食不节导致的"脾虚痰湿"证候有一定的相似之处。

关 键 词:鹌鹑  证候  高尿酸血症  脾虚痰湿  定量分析

Study on syndrome categorization of hyperuricemia quail model base on quantitative analysis
Institution:LIN Zhi-jian,LIU Xiao-qing,ZHANG Bing,XUE Chun-miao,LIU Xiu-lan,WU Li-li,ZHU Wen-jing (School of Chinese Materia Medica,Beijing University of Chinese Medicine,Beijing 100029,China)
Abstract:Objective:To investigate the syndromes pattern of hyperuricemia quail model by TCM syndrome categorization.Methods:24 French male quails were randomly divided into two groups:control group and model group.The control group quails were fed with normal diet and model group quails were fed with high purine diet.Body weight,serum uric acid(UA),fecaluria characteristics and tongue pictures were determined.Results:Body weight in model group had no changes.Serum UA level in model group was increased significantly on 14th,21st day.The fecaluria of model quailsbecame noncoagulative and with offensive odor on 17nd,30st day.The tongues of model quails became pale,with the index of r and red area ratio decreased on 22nd,32st day.Conclusion:High purine diet(Indulgence in a richly fatty and sweet diet) can induce hyperuricemia quail model.The characteristics of this animal model were similar with spleen-deficiency and phlegm-dampness syndrome categorization system.
Keywords:Quail  Syndrome  Hyperuricemia  Syndrome of spleen-deficiency and phlegm-dampness  Quantitative analysis
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