Primary Dysmenorrhea Animal Models Based on Data Mining
10.13422/j.cnki.syfjx.20221616
- VernacularTitle:基于数据挖掘的原发性痛经动物模型分析
- Author:
Xingyu FAN
1
;
Xiaoqian LIAO
1
;
Ziyi WANG
1
;
Shumin HUANG
1
;
Siyuan HU
1
;
Zhixi HU
1
Author Information
1. School of Traditional Chinese Medicine，Hunan University of Chinese Medicine， Changsha 410208，China
- Publication Type:Journal Article
- Keywords:
data mining;
primary dysmenorrhea;
animal model
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2023;29(2):166-174
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo study the modeling characteristics of primary dysmenorrhea models in animals and to provide references for the standardization of the primary dysmenorrhea animal models. MethodThe research articles on animal models of primary dysmenorrhea were retrieved to establish a database. The types of experimental animals， modeling methods， modeling cycle， drug dosage， drug injection methods， high-frequency detection indicators， positive drug types， etc.， were summarized and analyzed. ResultA total of 171 research articles that met the criteria were included. The animals for primary dysmenorrhea model induction were mainly SD rats， Wistar rats， and Kunming mice. Most of them were prepared by combining estradiol and oxytocin with the modeling cycle of 9 d≤t≤12 d. In terms of drug dosage for rats， estradiol benzoate was 0.5 mg·d-1 on the 1st and 10th days and 0.2 mg·d-1 on the 2nd to 9th days， while oxytocin at 2 U·d-1 was the most common. In terms of drug dosage for mice， diethylstilbestrol at 2 mg·kg-1·d-1 and oxytocin at 20 U·kg-1·d-1 were the most common. In terms of injection methods， oxytocin was mainly administered by intraperitoneal injection and estradiol （estradiol benzoate and diethylstilbestrol） by subcutaneous injection. The detection indicators were mainly behavioral indicators of the writhing assay or the related biochemical indicators in the uterus or serum by enzyme-linked immunosorbent assay. The positive western medicines were dominated by ibuprofen and Chinese medicines by Tongjingbao. ConclusionAlthough primary dysmenorrhea animal models have become a hot topic， the existing reviews are not comprehensive， and the modeling standards and traditional Chinese medicine （TCM） syndrome evaluation are inadequate. By summarizing and analyzing the big data of the animal models， this study proposed some specific views to provide guidance and references for establishing the standard and ideal animal models of primary dysmenorrhea， so as to carry out research on this disease.
