OBJECTIVE Hydrocortisone-induced yang-deficiency animal model has now become the generally accepted model of yang deficiency. However, assessing the most appropriate dose of hydrocortisone is a long-term challenge. For analyzing the modeling dose, the authors have built several kinds of yang-deficiency models induced by hydrocortisone at different doses, and analyzed the experimental data with various mathematical statistical methods. In order to discuss the effects of the modeling dose on the basis of previous research, the authors introduced Ridit analysis. METHODS After categorizing 27 batches of experiments with four different doses (including 2.5, 3.75, 10 and 20 mg/kg), the data were standardized and the data type was changed to meet the needs of subsequent calculations. Then, by using Ridit analysis, the authors compared the variation of 19 biochemistry indexes involving nervous-endocrine system, immune system, metabolic system and the function of the liver and kidney, so as to analyze the similarities and differences of those yang-deficiency models mentioned above. The effects of modeling dose were then discussed. RESULTS With regard to the overall state of the animal model, the difference between the models induced by different doses of hydrocortisone (2.5, 3.75, 10 and 20 mg/kg) showed no statistical significance, indicating that differences in hydrocortisone dose barely lead to significant changes in yang-deficiency models. For the trends of changing in different indexes, indexes had different performances when the doses differs: gonad indexes (estradiol and testosterone) showed better performance in 2.5 mg/kg group, immunological indexes (immunoglobulin M and immunoglobulin G) showed better performance in 3.75 mg/kg group and metabolic indexes (triglyceride and total cholesterol) showed better performance in 10 mg/kg group, etc. This indicates that the dose of hydrocortisone should be determined according to the research purposes. CONCLUSION Ridit analysis can be used as an integration analysis method for animal models of yang deficiency induced by hydrocortisone at different doses.

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不同剂量氢化可的松致阳虚动物模型实验数据的Ridit分析

目的氢化可的松诱导的阳虚动物模型现已成为公认的阳虚模型。然而，评估最合适剂量的氢化可的松是一项长期的挑战。为了分析建模剂量，作者建立了氢化可的松在不同剂量下诱发的几种阳虚模型，并使用各种数学统计方法分析了实验数据。为了在先前研究的基础上讨论建模剂量的影响，作者介绍了Ridit分析。方法将27批具有4种不同剂量（包括2.5、3.75、10和20 mg / kg）的实验进行分类后，将数据标准化，并更改数据类型以满足后续计算的需要。然后，通过使用Ridit分析，作者比较了涉及神经-内分泌系统，免疫系统，代谢系统和肝肾功能的19种生化指标的变化，以分析上述阳虚模型的异同。然后讨论了建模剂量的影响。结果关于动物模型的整体状态，不同剂量的氢化可的松（2.5、3.75、10和20 mg / kg）诱导的模型之间的差异无统计学意义，表明氢化可的松剂量的差异几乎不会导致显着性差异。阳虚模型的改变。对于不同指标变化的趋势，当剂量不同时，指标具有不同的表现：性腺指标（雌二醇和睾丸激素）在2.5 mg / kg组中表现更好，免疫学指标（免疫球蛋白M和免疫球蛋白G）在3.75 mg / kg组中表现更好，代谢指标（甘油三酸酯和总胆固醇）在10 mg / kg组中表现更好，等等。这表明氢化可的松的剂量应根据达到研究目的。结论Ridit分析可作为氢化可的松不同剂量致阳虚动物模型的综合分析方法。