基于中西医盆腔炎性疾病后遗症临床病证特点的动物模型分析
Animal Model Analysis Based on Clinical Disease-Syndrome Characteristics of Sequelae of Pelvic Inflammatory Disease in Traditional Chinese and Western Medicine
胡伊蕾 1俞赟丰 2周曼丽 1蔡磊 2简维雄1
作者信息
- 1. 湖南中医药大学中医学院,长沙 410208;湖南中医药大学国家重点学科中医诊断学湖南省重点实验室,长沙 410208
- 2. 湖南中医药大学中医学院,长沙 410208
- 折叠
摘要
盆腔炎性疾病后遗症(SPID)是现代社会严重影响女性生殖健康与生活质量的妇科疾病之一,具有迁延难愈的临床特点.目前,SPID的发病机制尚且不明,临床治疗效果欠佳,因此,推进SPID的基础、临床研究,构建更为吻合中西医临床症状的动物模型乃当下之需.本文通过梳理SPID的病因病机、临床特点及诊断标准,总结现有SPID动物模型的构建方法及造模机制,并依据中西医动物模型贴合度评分分析各模型优劣,提出改进建议.分析结果指出,SPID西医病理模型中异物置入法、苯酚胶浆、机械损伤结合苯酚胶浆造模法最为理想;中医病证模型中以寒湿凝结、气滞血瘀证模型与临床特征最为吻合,可以作为其他模型优化思路的参考.
Abstract
The sequelae of pelvic inflammatory disease(SPID)is one of the gynecological diseases that seriously affect the reproductive health and quality of life of women in modern society,which is protracted and intractable.At present,the pathogenesis of SPID is still unknown,and the clinical efficacy is not good.Therefore,it is necessary to promote basic and clinical research on SPID and establish an animal model that is more consistent with the clinical symptoms in traditional Chinese medicine(TCM)and western medicine.This article reviewed the etiology,pathogenesis,clinical characteristics,and diagnostic criteria of SPID,summarized the construction methods and modeling mechanisms of exist-ing SPID models in animals,analyzed the advantages and disadvantages of each model according to the fitting degree score of animal models in TCM and western medicine,and proposed suggestions for improvement.The results showed that the foreign body placement method,phenol mucilage,and mechanical injury combined with the phenol mucilage method were ideal in the establishment of SPID models in western medi-cine.In TCM disease-syndrome models,the Hanshiningjie(寒湿凝结)syndrome and Qizhixueyu(气滞血瘀)syndrome were the most con-sistent with clinical characteristics,which can be used as a reference for the optimization of other models.
关键词
盆腔炎性疾病后遗症/动物模型/临床病证特点Key words
Sequelae of pelvic inflammatory disease/Animal models/Clinical disease-syndrome characteristics引用本文复制引用
基金项目
国家自然科学基金面上项目(81973753)
出版年
2024
国家科技期刊平台
NSTL
万方数据