期刊
EUROPEAN JOURNAL OF ENDOCRINOLOGY
卷 186, 期 5, 页码 K9-K15出版社
BIOSCIENTIFICA LTD
DOI: 10.1530/EJE-22-0081
关键词
-
资金
- L'Oreal
In this study, a method for analyzing multiple endogenous hormones in human hair was developed and validated. The method allowed the detection of 32 hormones from different chemical classes and established complete reference intervals. Correlations between certain hormone concentrations in hair were found. This method is of significance for better identifying endocrine disorders.
Objective: Endogenous hormones regulate numerous physiological processes in humans. Some of them are routinely measured in blood, saliva and/or urine for the diagnosis of disorders. The analysis of fluids may, however, require multiple samples collected at different time points to avoid the high variability in the concentration of some hormones. In contrast, hair analysis has been proposed as an interesting alternative to reveal average hormone levels over a longer period. In this work, we developed and validated an analytical method for analyzing 36 endogenous steroid and thyroid hormones and one pineal hormone in human hair using ultra-performance liquid chromatography (UPLC)tandem mass spectrometry (MS/MS). Methods: Sample preparation involved hair decontamination, pulverization, methanol extraction, and purification with C-18-solid phase extraction. Extracts were then divided into two portions, respectively injected into an UPLC-MS/MS system, and analyzed using two different instrumental methods. The method was applied to a healthy female population aged 25-45 years. Results: The method was validated on supplemented hair samples for the 37 targeted hormones, and its application to the population under study allowed to detect 32 compounds in 2-100% of the samples. Complete reference intervals (2.5-97.5th percentiles) were established for estrone, 17 beta-estradiol, androstenedione, dehydroepiandrosterone, progesterone, 17 alpha-hydroxyprogesterone, cortisone, cortisol and 3,3',5-triiodo-L-thyronine. Hair cortisone, cortisol, tetrahydrocortisone and tetrahydrocortisol concentrations were highly correlated with each other, with Kendall's tau correlation coefficients ranging from 0.52 to 0.68. Conclusion: Allowing the detection of 32 hormones from different chemical classes, the present method will allow to broaden hormonal profiling for better identifying endocrine disorders.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据