Murine Models and Human Cell Line Models to Study Altered Dynamics of Ovarian Follicles in Polycystic Ovary Syndrome.

IF 3.2 3区 生物学 Q3 MATERIALS SCIENCE, BIOMATERIALS
Arturo Bevilacqua, Cristiano Giuliani, Giovanna Di Emidio, Samuel H Myers, Vittorio Unfer, Carla Tatone
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引用次数: 0

Abstract

Polycystic ovary syndrome is one of the most common endocrine disorders in women of reproductive age, characterized by functional and structural alterations of the female reproductive organs. Due to the unknown underlying molecular mechanisms, in vivo murine models and in vitro human cellular models are developed to study the syndrome. These models are used to analyze various aspects of the pathology by replicating the conditions of the syndrome. Even though the complexity of polycystic ovary syndrome and the challenge of reproducing all its features leave several questions unanswered, studies conducted to date have elucidated some of the alterations in ovarian follicle molecular and cellular mechanisms involved in the syndrome, and do not require the employment of complex and invasive techniques on human patients. This review examines ovarian functions and their alterations in polycystic ovary syndrome, explores preclinical in vivo and in vitro models, and highlights emerging research and medical perspectives. It targets researchers, healthcare professionals, and academics, including endocrinologists, cell biologists, and reproductive medicine specialists, studying the molecular and cellular mechanisms of the syndrome.

小鼠模型和人类细胞系模型研究多囊卵巢综合征卵巢卵泡动力学改变。
多囊卵巢综合征是育龄妇女最常见的内分泌疾病之一,以女性生殖器官的功能和结构改变为特征。由于其潜在的分子机制尚不清楚,因此建立了小鼠体内模型和体外人细胞模型来研究该综合征。这些模型用于通过复制综合征的条件来分析病理的各个方面。尽管多囊卵巢综合征的复杂性和再现其所有特征的挑战留下了几个未解之谜,但迄今为止进行的研究已经阐明了与该综合征有关的卵巢卵泡分子和细胞机制的一些改变,并且不需要对人类患者使用复杂和侵入性技术。本文综述了多囊卵巢综合征的卵巢功能及其变化,探讨了体内和体外的临床前模型,并强调了新兴的研究和医学观点。它的目标是研究人员、医疗保健专业人员和学者,包括内分泌学家、细胞生物学家和生殖医学专家,研究该综合征的分子和细胞机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advanced biology
Advanced biology Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
6.60
自引率
0.00%
发文量
130
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