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Evaluation and Analysis of Modeling Methods for Animal Models with Diminished Ovarian Reserve

Authors :
HUANG Hui
DENG Yasheng
LIANG Tianwei
ZHENG Yiqing
FAN Yanping
RONG Na
LIN Jiang
Source :
Shiyan dongwu yu bijiao yixue, Vol 43, Iss 4, Pp 422-428 (2023)
Publication Year :
2023
Publisher :
Editorial Office of Laboratory Animal and Comparative Medicine, 2023.

Abstract

Objective To analysis the modeling characteristics of diminished ovarian reserve (DOR) animal models, and provide the reference for the standardization of DOR animal models. Methods The research articles on DOR animal models were retrieved. Microsoft Excel 2010 software was used to summarize the experimental animal species, modeling methods, modeling cycles, high-frequency detection indexes and types of positive drugs documented in the literature, and the data results were evaluated and analyzed by NoteExpress software. Results A total of 93 research articles on DOR that met the criteria were enrolled. And it was found that, SD rat was the most frequently used animal type (68 times, 73.12%), followed by C57BL/6 mouse (13 times, 13.98%), while the tripterygium wilfordii treatment was the most frequently used modeling method (38 times, 40.86%), followed by the cyclophosphamide treatment (28 times, 30.11%) for DOR animal models. The high frequency detection indicators were vaginal exfoliation cytology detection (93 times, 23.97%) and HE staining to observe histopathological changes (72 times, 18.56%). Among these 64 research articles containing positive control drugs, the most frequently used western drug was estrogen (50 times,62.50%) and Chinese Traditional medicine was Kuntai capsules (2 times, 2.50%). Conclusions SD rats are mostly used to induce modeling in animal experiments on DOR through tripterygium wilfordii and cyclophosphamide, which can effectively improve the experimental efficiency. It is recommended to integrate the results of ovarian histopathology and serum biochemical indexes for model assessment.

Details

Language :
Chinese
ISSN :
16745817
Volume :
43
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Shiyan dongwu yu bijiao yixue
Publication Type :
Academic Journal
Accession number :
edsdoj.b62c2cd4c5547cc8797beb347ed4abf
Document Type :
article
Full Text :
https://doi.org/10.12300/j.issn.1674-5817.2023.032