EARLY DETECTION OF DISEASE ONSET- PCOS MODEL STUDIES

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 我们建议应用多学科团队的方法来开发一种创新的平台(代谢组时相图)来检测复杂疾病的早期发作，该平台利用我们早期成功地识别急性炎症反应的生物标记物。我们计划系统地增强我们目前的代谢分析方法，以多囊卵巢综合征(PCOS)为病例模型，快速识别看似无关的复杂表型疾病的早期和可靠的生物标志物。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. We propose to apply a multidisciplinary team approach to develop an innovative platform (metabolome phase portrait) to detect early onset of complex disease that capitalizes on our earlier success identifying biomarkers of acute inflammatory response. We plan to systematically enhance our current metabolic analysis methodology to rapidly identify early and reliable biomarkers of diseases with seemingly unrelated complex phenotypes using polycystic ovary syndrome (PCOS) as our case model.