建立子宫内膜薄的小鼠模型

IF 1.2 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES Jove-Journal of Visualized Experiments Pub Date : 2024-11-01 DOI:10.3791/67084
Mingye Chen, Junjie Tang, Binfa Liang, Lianghui Diao, Jie Liu, Qing Sun, Xian Chen
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引用次数: 0

摘要

子宫内膜薄(TE)已被广泛认为是不孕症的一个重要原因。然而,TE 的发病机制仍不清楚,目前仍急需令人满意的治疗方案。目前已开发出多种 TE 动物模型,但小鼠模型涉及腹部手术和注射 95% 乙醇,如果操作不当,死亡率高且有宫内粘连的风险,因此是一项艰巨的挑战。在此,我们介绍了一种详细的方案,该方案通过向小鼠子宫内注射 95% 的乙醇,并改变注射时间,可产生可靠、可重复的 TE,且死亡率极低,宫内粘连极少。结果表明,所有小鼠在输注时间为 1-3 分钟的情况下都成功发生了 TE,其特征是子宫内膜厚度和腺体数量典型减少,以及子宫内膜过度纤维化。这些发现表明,这种小鼠模型适合研究薄型子宫内膜,并可作为开发未来 TE 治疗方法的平台。
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Establishing a Mouse Model of Thin Endometrium.

Thin endometrium (TE) has been widely recognized as a critical cause of infertility. However, the pathogenesis of TE remains unclear, and satisfactory treatment options are still urgently needed. Several animal models of TE have been developed, but the mouse model involving abdominal surgery and injection of 95% ethanol presents a formidable challenge due to the high mortality rate and risk of intrauterine adhesions if not performed correctly. Here, we describe a detailed protocol that produces reliable and reproducible TE with a very low mortality rate and minimal intrauterine adhesions by injecting 95% ethanol into the mouse uterus with varying infusion times. The results showed that all of the mice successfully developed TE with infusion times ranging from 1-3 min, characterized by a typical reduction in endometrial thickness and the number of glands, as well as excessive endometrial fibrosis. These findings suggest that this mouse model is suitable for studying thin endometrium and can serve as a platform for developing future TE treatments.

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来源期刊
Jove-Journal of Visualized Experiments
Jove-Journal of Visualized Experiments MULTIDISCIPLINARY SCIENCES-
CiteScore
2.10
自引率
0.00%
发文量
992
期刊介绍: JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.
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