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基于数据挖掘的慢性疲劳综合征动物模型的评价OA北大核心CSTPCD

Evaluation of an animal model of chronic fatigue syndrome based on data mining

中文摘要英文摘要

目的 研究慢性疲劳综合征动物模型的应用情况,为其动物实验方法和模型完善提供参考.方法 以"慢性疲劳综合征、动物模型""Chronic fatigue syndrom,animal model"等为检索词,在中国知网、万方、PubMed数据库进行检索,整理2000年7月~2023年7月慢性疲劳综合征动物模型的文献,对实验动物、造模方法、阳性药、检测指标等内容进行整理,建立数据库进行统计、分析.结果 共纳入有效文献155篇;实验动物以SPF级、体重集中在180~220 g的雄性SD大鼠最多;小鼠应用最多的是18~22 g的SPF级雄性KM小鼠;应用最多的阳性药是人参皂苷片;应用最多的造模方法是"强制冷水游泳+慢性束缚"法,造模周期多集中在14 d,大多采用边造模边干预的方式;检测指标以行为学为主,主要包括力竭游泳实验、旷场实验、鼠尾悬吊实验、Morris水迷宫实验以及动物一般状态观察,其次是血清生化指标,检测最多的是血清MDA、SOD、TNF-α、IL-1β、CORT、IL-2、IFN-γ、ACTH、GSH-Px、IgG、IgA、IL-6等;根据研究目的不同选择其余多种检测指标,包括脾、胸腺等脏器指数测定、HE病理染色和超微结构电镜检测的形态学指标、免疫组化相关指标、实时荧光定量PCR检测法和Western blot法检测相关mRNA及蛋白表达指标,检测种类繁多但应用频率均不高;目前动物模型主要用于研究干预效果、探究病因病机及机制.结论 目前慢性疲劳综合征的发病机制尚不明确,动物模型以"强制冷水游泳+慢性束缚"的应激造模方法为主,模拟人类身体和心理疲劳状态;动物模型成模标准尚无统一规定,模型评价方式以各种行为学实验单独或组合应用为主,多数文献中客观评价指标多用于病因病机猜想的论证及干预措施有效性评价;各项检测指标应用结果表明慢性疲劳综合征可能与炎症反应、神经功能障碍和线粒体功能异常等因素有关,其发病机制中可能存在免疫功能、能量代谢、细胞增殖和细胞死亡的异常状况,挖掘内容有望为模型应用提供参考,为模型完善提供思路.

Objective To study animal models of chronic fatigue syndrome and to provide a reference for improvements in related animal experimental method and models.Methods Using"chronic fatigue syndrome,animal model"and"chronic fatigue syndrome,animal model"as search terms,we searched in the China Knowledge,Wanfang,and PubMed databases from July 2000 to July 2023.We compiled the literature on animal models of chronic fatigue syndrome and analyzed the experimental method and models.Content relating to experimental animals,modeling method,positive drugs,and detection indexes was sorted,and a database was set up for statistics and analysis.Results A total of 155 articles were included from the validated literature;most of the experimental animals were male SD rats of specific-pathogen free grade and body weights of around 180~220 g.Most of the mice used were KM males of 18~22 g.The most commonly used positive drug was ginsenoside tablets;and the typical modeling method was"forced cold water swimming+chronic restraint".Testing indexes were mainly behavioral and included exhaustive swimming test,open field test,rat tail suspension test,Morris water maze test,and animal'behavioral cycle,and observations of the general state of the animals.Modeling cycles mostly spanned 14 days.The most frequently tested indexes were serum MDA,SOD,TNF-α,IL-1β,CORT,IL-2,IFN-γ,ACTH,GSH-Px,IgG,IgA,and IL-6.The remaining indicators were selected according to the research purpose and included spleen,thymus,and other organ indexes;morphological indicators detected by hematoxylin and eosin pathological staining;ultrastructural electron microscopy indicators;immunohistochemistry-related indicators,and related mRNA and protein expression indicators detected by fluorescence quantitative PCR and Western blot method.mRNA and protein expression indexes were determined via a variety of tests,but the frequency of their application was low.At present,animal models are mainly used to study the effects of interventions and the etiology and mechanisms of the disease.Conclusions The pathogenesis of chronic fatigue syndrome is still unclear,and animal models are mainly based on stress modeling with"forced cold water swimming+chronic restraint",which simulates the physical and mental fatigue states of humans.No standard criteria for the formation of animal models are available,and the evaluation of models is based on the application of a variety of behavioral experiments,individually or in combination.Objective evaluation indexes are mostly used to validate the etiology of the disease and evaluate the effectiveness of interventions.The result of various test indexes have shown that chronic fatigue syndrome may be related to inflammatory responses,neurological dysfunction,and mitochondrial dysfunction,and there may be abnormalities in immune function,energy metabolism,cell proliferation,and cell death.This summary is expected to provide a reference for researchers planning to employ these models and ideas for model refinements.

李亚青;王灿;苗明三

河南中医药大学药学院,郑州 450046

慢性疲劳综合动物模型评价指标数据挖掘综述

chronic fatigue syndromeanimal modelsevaluation metricsdata miningreview

《中国比较医学杂志》 2024 (004)

54-64 / 11

国家自然科学基金(82274119);河南省重大专项(221100310400);岐黄学者(国中医药人教函2022-6);中原学者工作站项目(224400510011);2022年河南省博士后科研资助项目(HN2022079).

10.3969/j.issn.1671-7856.2024.04.007

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