Animal Model of Premature Ovarian Insufficiency Based on Data Mining / 中国实验方剂学杂志
Chinese Journal of Experimental Traditional Medical Formulae
; (24): 225-233, 2023.
Article
em Zh
| WPRIM
| ID: wpr-965667
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WPRO
ABSTRACT
ObjectiveTo study the modeling characteristics of the animal model of premature ovarian insufficiency and provide references for the standardization of the animal model of premature ovarian insufficiency, thus offering a better research basis to the pathogenesis, diagnosis, and treatment of the disease. MethodThe animal experimental literature of premature ovarian insufficiency in the past decade was obtained by searching China National Knowledge Infrastructure (CNKI), Wanfang, VIP Chinese Technology Periodical Database, China Biology Medicine (CBM), and PubMed. The types of experimental animals, modeling methods, dosage, administration scheme, modeling standards, and detection indicators were summarized. The frequency analysis was performed with Excel, the association rule analysis was performed with SPSS Modeler 18.0, and the results were visually upgraded with Cytascape 3.6.1. ResultA total of 281 articles were included, and most animal experiments on premature ovarian insufficiency were performed on SD rats or BALB/c mice. Most modeling methods were iatrogenic induction, and the main modeling drug was cyclophosphamide. Erestrous cycle disorder was selected as the modeling standard. Ovarian histomorphology, estradiol, follicle stimulating hormone, and estrous cycle were selected as the detection indicators to comprehensively evaluate the model from multiple aspects. ConclusionSD rats are mostly used to induce modeling in animal experiments on premature ovarian insufficiency through first intraperitoneal injection of cyclophosphamide 50 mg·kg-1 and 8 mg·kg-1·d-1 from the next day for 14 d, which has the advantages of easy operation, high modeling rate, and consistency with the disease pathogenesis. This paper can provide references for basic animal experimental research of premature ovarian insufficiency.
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Índice:
WPRIM
Idioma:
Zh
Revista:
Chinese Journal of Experimental Traditional Medical Formulae
Ano de publicação:
2023
Tipo de documento:
Article