WOMENS HEALTH ACROSS THE NATION--ENDOCRINE LAB

为了评估中年妇女的内分泌变化，密歇根大学中央配体分析卫星服务（CLASS）实验室将继续支持全国妇女健康研究（SWAN）。我们将使用最先进的自动化检测技术，检测所有主要的生殖轴激素（LH、FSH、雌二醇、黄体酮和睾酮）、衰老的肾上腺标志物（DHEAS）、其他内分泌标志物（TSH、性激素结合球蛋白{SHBG}）和新的卵巢标志物（抑制素A和B、雌酮），这些标志物有可能使我们更精确地从激素角度定义更年期过渡和绝经后。为了继续支持每日激素研究（DHS）， CLASS将完成对LH、FSH和雌二醇、黄体酮、雌酮偶联物和孕二醇葡萄糖醛酸盐的敏感和特异性尿液检测的开发和应用。我们在计划项目期间的具体目标是：1)利用、实施和开发最先进的、可靠的、精确的和具有成本效益的分析方法，满足所有研究需求（分析物选择、检测范围、性能范围），最大限度地减少可变性，提供长期稳定性和最大限度的可靠性；2)纳入质量保证程序，通过严格的质量控制程序评估，最大限度地减少错误和可变性；3)利用和开发额外的电子数据处理和分析程序，除了降低人工成本外，还可以最大限度地减少人工干预的需要，几乎消除错误的可能性；4)利用样品标记和处理系统，确保标记的样品和用试管识别的数据之间的持续关联，同时最大限度地保持样品完整性的可能性；5)开发一个临时存储库。通过这种方式，我们将继续在母体SWAN研究的科学目标的推进中发挥关键作用。

To assess endocrine changes in midlife women, the University of Michigan's Central Ligand Assay Satellite Services (CLASS) laboratory will continue to support the Study of Women's Health Across the Nation (SWAN). We will use state-of-the-science, automated assays for all the major reproductive axis hormones (i.e., LH, FSH, estradiol, progesterone, and testosterone), adrenal markers of aging (DHEAS), other endocrine markers (TSH, sex hormone binding globulin {SHBG}) and new ovarian markers which have the potential to allow us to hormonally define the menopausal transition and the postmenopause with greater precision (inhibin A and B, estrone). In order to continue to support the Daily Hormone Study (DHS), CLASS will complete development and utilize sensitive and specific urinary assays for LH, FSH and the principal urinary metabolites of estradiol and progesterone, estrone conjugates and pregnanediol glucuronide, respectively. Our specific goals for the proposed project period are to: 1) utilize, implement and develop state-of-the-science, reliable, precise and cost-effective analytical methods that meet all study needs (analyte selection, limits of detection, range of performance), minimize variability, provide long-term stability and maximize reliability; 2) incorporate quality assurance procedures that minimize error and variability as assessed by rigorous quality control procedures; 3) utilize and develop additional electronic data handling and analysis procedures that, in addition to reducing labor costs, minimize the need for manual intervention and nearly eliminate the possibility of errors; 4) utilize sample labeling and handling systems that ensure continuous association between a labeled sample and data identified with the tube while maximizing the likelihood that the integrity of a sample is preserved unmodified; and 5) develop a temporary storage repository. In this manner, we will continue to play a key role in the advancement of the scientific goals of the parent SWAN study.