随着辅助生殖技术的广泛应用，卵巢过渡刺激综合征（ovarian hyperstimulation syndrome,OHSS）患者人数也在不断增加，威胁着患者的生命安全。但是OHSS的发病机理还不是很清楚，预防OHSS的发生是治疗OHSS的最好方法。本项目通过临床实践和动物实验相结合、基因数字表达谱和酵母双杂交相结合，生物信息学和生物实验相结合，深入研究S100蛋白能否作为预测OHSS发生的指针，构建S100蛋白在OHSS发生过程中信号转导网络，探寻S100在OHSS发生过程中的作用机理。旨在寻找具有较高敏感性和特异性的预测OHSS发生的指标，应用于临床实践，降低OHSS发生率，减轻患者痛苦；同时，研究S100蛋白在OHSS发生过程中的机理，为临床提供治疗和预防OHSS发生的新靶点及新策略。

With the widely application of the assisted reproductive technology, the numbers of patients of ovarian stimulation Syndrome (OHSS) are also growing. It is threatening the life safety of patients. But OHSS pathogenesis is not clear, prevention of OHSS is the best way of the treatments to OHSS. Through the combination of clinical practice and animal experiment, the combination of digital expression genes and yeast two hybrid and the combination of bioinformatics and biological experiment, we intend to study whether S100 protein can be used as a biomarker of prediction of OHSS. We intend to reveal the signal transduction network of OHSS. We intend to explore S100 function mechanism in OHSS. We hope to seek a higher sensitivity and specificity biomarker of prediction of OHSS. We hope to apply this biomarker to clinical practice to reduce the incidence of OHSS and to relieve patients' pain. Meanwhile, with the research of S100 protein in the process of OHSS, it can provide new targets and new strategies to prevent OHSS in clinical treatment.