Optimal Dose for Anti-depression Effect of Xiaoyaosan

CUI Jie; ZHENG Xing-yu; GAO Xiao-xia; QIN Xue-mei

您当前的位置：

首页 >

文章列表页 >

Optimal Dose for Anti-depression Effect of Xiaoyaosan

更新时间：2024-01-04

- Optimal Dose for Anti-depression Effect of Xiaoyaosan
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 16, Issue 13, Pages: 194-198(2010)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010
- 稿件说明：
移动端阅览
CUI Jie, ZHENG Xing-yu, GAO Xiao-xia, et al. Optimal Dose for Anti-depression Effect of Xiaoyaosan[J]. Chinese journal of experimental traditional medical formulae, 2010, 16(13): 194-198.
DOI：

CUI Jie, ZHENG Xing-yu, GAO Xiao-xia, et al. Optimal Dose for Anti-depression Effect of Xiaoyaosan[J]. Chinese journal of experimental traditional medical formulae, 2010, 16(13): 194-198. DOI：

摘要

目的 :筛选逍遥散抗抑郁作用的最佳剂量

为提高临床疗效奠定基础。方法 :采用慢性轻度不可预知应激模型(CUMS)

通过2次实验

造模的同时给予不同剂量的逍遥散加以治疗

实验Ⅰ使用阿米替林作为阳性对照

实验Ⅱ使用文拉法辛和百忧解作为阳性对照。观察大鼠行为学变化

测定大鼠体重、旷场和糖水消耗实验等行为学指标;并收集尿液生物样本

采用GC-MS分析

数据用SPSS和SIMCA-P软件进行分析。结果 :通过2次实验的行为学

显示对照组和模型组具有显著性差异

同时GC-MS数据分析

2组几乎没有交叉

能够很好的分开

均表明造模成功;各给药组与阳性药组和空白组相比

发现给药剂量为46.3 g ·kg-1生药量时与对照组和文拉法辛阳性药组更加接近

比阿米替林和百忧解阳性药组抗抑郁效果好。结论 :逍遥散具有明显的抗抑郁作用

且经过2次实验均证明46.3 g ·kg-1为大鼠最佳剂量

提示临床上人的日用剂量(原处方生药材比例)约为370 g。

Abstract

Objective: To screen the optimal dose of Xiaoyaosan in rats and to improve the anti-depression clinical effect. Method: In this research

two experiments were processed using the model of chronic unpredictable mild stress (CUMS). Amitriptyline and fluoxetine hydrochloride

venlafaxine hydrochloride were used as positive control

respectively. Behavioral changes

such as the weight

open-field

and sugar consumption

were measured. The urine was collected and analyzed by GC-MS

and the result was analyzed with SPSS and SIMCA-P. Result: The results of behavior changes and GC-MS suggested that the control group and model group were significantly different

which indicated that the model was successful. Comparing the treated group with the positive control group and the control group

the dose of 46.3 g ·kg-1 was closest to the control group

there was no significant difference. Conclusion: Xiaoyaosan has the obvious anti-depression effect

and 46.3 g·kg-1 was proved the optimal dose.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Metabolomic Analysis of Urine in Rat Model with Spleen-stomach Damp-heat Syndrome

Effect of Xiaoyaosan on Chronic Unpredictable Mild Stress Model in Rats

Analysis of Mechanism of Xiaoyaowan on Rats with Nonalcoholic Fatty Liver Disease and Syndrome of Liver Depression and Spleen Deficiency by H-NMR Metabolomics

Metabolomics of Roudoukou-8 San in Preprotecting Myocardial Ischemia Reperfusion Injury

Herbal Cake-separated Moxibustion Improves Cognitive Function in Rat Model of Chronic Fatigue Syndrome via PI3K/Beclin1 Signaling Pathway

Related Author

YU Jingbo

HAN Yue

XIE Xin

ZHOU Ziyang

CHEN Jingmei

WANG Weiyi

QIU Jingsong

WANG Yuhong

Related Institution

School of Pharmacy，Science&Technology Innovation Center/National Key Laboratory Cultivation Base of Chinese Medicinal Powder&Innovative Medicinal Jointly Established by Province and Ministry， Hunan Key Laboratory of Traditional Chinese Medicine Prevention&Treatment of Depressive Diseases，Hunan University of Chinese Medicine

Second Clinical College of Shanxi University of Chinese Medicine

School of Clinical Medicine，Beijing University of Chinese Medicine

Beijing Key Laboratory of Chinese Materia Pharmacology，National Clinical Research Center of Traditional Chinese Medicine for Cardiovascular Diseases，Institute of Basic Medical Sciences， Xiyuan Hospital，China Academy of Chinese Medical Sciences

Natural History Museum of China

AI问答

Postal code：100700
Tel：010-84076882 Email：syfjx_2010@188.com
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备11006657号-10 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰