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Data from: Animal models to understand the etiology and pathophysiology in polycystic ovary syndrome

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DataCite Commons2025-05-01 更新2025-05-10 收录
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https://datadryad.org/dataset/doi:10.5061/dryad.zgmsbcc75
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资源简介:
More than one out of ten women worldwide are diagnosed with the leading cause of female reproductive and metabolic dysfunction, polycystic ovary syndrome (PCOS). Despite its high prevalence, PCOS and its accompanying morbidities are likely under-diagnosed, averaging >2 years and 3 physicians changes before women are diagnosed. Despite intensive research, the underlying cause(s) of PCOS have yet to be defined. In order to understand PCOS pathophysiology, its developmental origins, and how to predict and prevent PCOS onset, there is urgent need for safe and effective markers and treatments. In this review, we detail which animal models are more suitable and which are less suitable for contributing to our understanding of the etiology and pathophysiology of PCOS. We summarize and highlight advantages and limitations of hormonal or genetic manipulation of animal models, as well as of naturally occurring PCOS-like females.
提供机构:
Dryad
创建时间:
2020-02-17
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