Voliotis Margaritis, Hanassab Simon, Abbara Ali, Heinis Thomas, Dhillo Waljit S, Tsaneva-Atanasova Krasimira
Department of Mathematics and Living Systems Institute, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom.
Section of Endocrinology and Investigative Medicine, Imperial College London, London, United Kingdom.
Curr Opin Endocr Metab Res. 2022 Dec;27:100421. doi: 10.1016/j.coemr.2022.100421.
Understanding the human hypothalamic-pituitary-gonadal (HPG) axis presents a major challenge for medical science. Dysregulation of the HPG axis is linked to infertility and a thorough understanding of its dynamic behaviour is necessary to both aid diagnosis and to identify the most appropriate hormonal interventions. Here, we review how quantitative models are being used in the context of clinical reproductive endocrinology to: 1. analyse the secretory patterns of reproductive hormones; 2. evaluate the effect of drugs in fertility treatment; 3. aid in the personalization of assisted reproductive technology (ART). In this review, we demonstrate that quantitative models are indispensable tools enabling us to describe the complex dynamic behaviour of the reproductive axis, refine the treatment of fertility disorders, and predict clinical intervention outcomes.
了解人类下丘脑 - 垂体 - 性腺(HPG)轴是医学面临的一项重大挑战。HPG轴失调与不孕症相关,全面了解其动态行为对于辅助诊断和确定最合适的激素干预措施都非常必要。在此,我们回顾定量模型在临床生殖内分泌学背景下的应用方式,以:1. 分析生殖激素的分泌模式;2. 评估药物在生育治疗中的效果;3. 辅助个性化辅助生殖技术(ART)。在本综述中,我们证明定量模型是不可或缺的工具,使我们能够描述生殖轴的复杂动态行为,优化生育障碍的治疗,并预测临床干预结果。