[Development of an LC-MS/MS method for 32 steroid hormones and exploration of their gestational variations]

[32种类固醇激素的LC-MS/MS分析方法的建立及其妊娠期变化的研究]

阅读:1

Abstract

OBJECTIVES: To establish a highly sensitive and specific liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based analytical method for detecting steroid hormones in human serum. METHODS: Solid-phase extraction (SPE) was used for sample pretreatment. Chromatographic conditions were optimized to achieve baseline separation, and mass spectrometry parameters were adjusted to ensure accurate detection of trace amounts of hormones. After validation of the linear range, accuracy, and precision, the method was applied in detection of serum samples from normal pregnant women for analyzing dynamic variation characteristics of 32 steroid hormones during the first, second, and third trimesters of pregnancy. RESULTS: The linear range of the method was 0.001-7500 ng/mL, with a limit of detection (LOD) of 0.0007 ng/mL. Both intra-day and inter-day coefficients of variation (CV) of the method were less than 10%, the spiked recovery ranged from 86.21% to 112.67%, the extraction efficiency was 85.05%-106.3%, and the matrix effects were 85.60%-113.22%. The results of detection using this method for serum steroid hormones during pregnancy revealed significant elevation of most of the hormones (such as 11-deoxycortisol, 11β-hydroxyprogesterone, dehydroepiandrosterone sulfate, and estriol) with the progression of pregnancy, indicating a close correlation with the development of fetal-placental function. Some hormones increased in the third trimester, possibly due to maternal adaptive regulation and maturation of fetal adrenal function. CONCLUSIONS: The detection results using the method established in this study reveal dynamic variations of steroid hormones during pregnancy, which provides clues for further physiological and pathological studies of these hormones.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。