Application Analysis of Animal Models of Urticaria Based on Bibliometrics

XUE Peiwen; QIN Haiyan; QIN Di; ZOU Zihao; LI Juan; SHI Yunzhou; JIN Rongjiang; LI Ying; XIAO Xianjun

doi:10.13422/j.cnki.syfjx.20230618

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Application Analysis of Animal Models of Urticaria Based on Bibliometrics

更新时间：2023-09-08

- Application Analysis of Animal Models of Urticaria Based on Bibliometrics
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 29, Issue 19, Pages: 203-210(2023)
- 作者机构：
  
  成都中医药大学，成都 610032
- 作者简介：
- 基金信息：
- DOI：10.13422/j.cnki.syfjx.20230618
  CLC： R284;R285;R289;R287;R22;R2-031;R33;R24
- Published：05 October 2023，
  
  Published Online：19 May 2023，
  
  Received：31 March 2023，
- 稿件说明：
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薛佩雯,秦海燕,秦迪等.基于文献计量学的荨麻疹动物模型应用分析[J].中国实验方剂学杂志,2023,29(19):203-210.

XUE Peiwen,QIN Haiyan,QIN Di,et al.Application Analysis of Animal Models of Urticaria Based on Bibliometrics[J].Chinese Journal of Experimental Traditional Medical Formulae,2023,29(19):203-210.
薛佩雯,秦海燕,秦迪等.基于文献计量学的荨麻疹动物模型应用分析[J].中国实验方剂学杂志,2023,29(19):203-210. DOI： 10.13422/j.cnki.syfjx.20230618.

XUE Peiwen,QIN Haiyan,QIN Di,et al.Application Analysis of Animal Models of Urticaria Based on Bibliometrics[J].Chinese Journal of Experimental Traditional Medical Formulae,2023,29(19):203-210. DOI： 10.13422/j.cnki.syfjx.20230618.

摘要

目的

梳理荨麻疹动物模型研究的实验方法、检测指标及评价方法，为后续荨麻疹的相关研究提供可参考的模型基础。

方法

计算机检索中国知网（CNKI）、万方、维普（VIP）、中国生物医学文献数据库（CBM）、Web of Science、Embase、PubMed数据库，以“荨麻疹” “动物模型”为主题词检索相关文献，检索时限从建库到2022年7月13日。由2名评价员独立筛选文献，将符合纳入标准文献的发表时间、文献来源、动物情况、造模方法、造模时间、检测指标等进行提取，建立数据文件，进行定量统计和分析。

结果

纳入符合标准的文献116篇，涉及荨麻疹动物实验共计129个，其中中文文献102个、英文文献27个。近3年荨麻疹动物实验研究呈明显上升趋势，文献来源多为学位论文。荨麻疹模型实验动物多为雌雄各半的KM小鼠和SD大鼠，造模方法以被动皮肤致敏模型为主，造模时间多为14~16 d，造模成功指标多以皮肤蓝斑面积、耳肿胀表观指标为主，其他检测指标侧重于皮肤和血清中的病理指标。

结论

目前荨麻疹的实验研究虽然日益增多，但目前研究中使用的造模方法存在造模标准不统一、临床吻合度不高等问题。因此该文对荨麻疹动物模型的造模要素及评价标准进行分析，并提出造模时应优先选用SPF级雌雄各半的KM小鼠或SD大鼠，小鼠以6~8周龄为宜，大鼠以8~10周龄为宜；研究的造模方法可考虑将主动、被动致敏模型相结合，但具体的造模时间、致敏次数等造模要素还需进一步探索；模型评价建议包括行为、表观、病理、免疫4个方面。

Abstract

Objective

To summarize the modeling methods

test indicators

and evaluation methods of the animal models of urticaria and provide a basis for the subsequent research on urticaria models.

Method

With the keywords of "urticaria" and "animal model" and the time interval from inception to July 13

2022

relevant articles were retrieved from CNKI

Wanfang Data

VIP

CBM

Web of Science

Embase

and PubMed. Two evaluators independently screened the articles and extracted the publishing time

sources

animal conditions

modeling methods

modeling time

and test indicators from the articles meeting the inclusion criteria to establish a data library for quantitative statistics and analysis.

Result

A total of 116 articles were included

involving 129 animal experiments (102 in Chinese and 27 in English) of urticaria. In the last three years

the studies about the animal models of urticaria presented an obvious upward trend

and the articles were dominated by dissertations. KM mice and SD rats of both females and males were mainly used for the modeling of urticaria

and the models were mainly established by passive sensitization of skin for 14-16 days. The models were mainly evaluated based on apparent indicators such as blue-stained lesion area and ear swelling

supplemented by the pathological indicators of the skin and serum.

Conclusion

Although the experimental studies of urticaria are increasing

the modeling methods lack unified modeling standards and have low coincidence with clinical symptoms. Therefore

this paper analyzed the modeling elements and evaluation criteria of urticaria animal models

and proposed that both male and female KM mice (6-8 weeks old) or SD rats (8-10 weeks old) of SPF grade should be preferentially selected for modeling. Active and passive sensitization can be combined for the modeling

and the specific modeling elements such as modeling time and sensitization times need to be further explored. The model evaluation should include four aspects of behavior

appearance

pathology

and immunity.

关键词

荨麻疹动物模型文献计量学应用分析模型评价

Keywords

urticariaanimal modelbibliometricsapplication analysismodel evaluation

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