Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China.
Department of Laboratory Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China.
J Steroid Biochem Mol Biol. 2024 Nov;244:106596. doi: 10.1016/j.jsbmb.2024.106596. Epub 2024 Jul 31.
Since steroids are crucial for diagnosing endocrine disorders, the lack of research on factors that affect hormone levels makes interpreting the results difficult. Our study aims to assess the stability of the pre-analytical procedure and the impact of hormonal physiological fluctuations using real-world data. The datasets were created using 12,418 records from individuals whose steroid hormone measurements were taken in our laboratory between September 2019 and March 2024. 22 steroid hormones in plasma by a well-validated liquid chromatography tandem mass spectrometry method were measured. After normalization transformation, outlier removal, and z-score normalization, generalized additive models were constructed to evaluate preanalytic stability and age, sex, and sample time-dependent hormonal fluctuations. Most hormones exhibit significant variability with age, particularly steroid hormone precursors, sex hormones, and certain corticosteroids such as aldosterone. 18-hydroxycortisol, 18-oxocortisol. Sex hormones varied between males and females. Levels of certain hormones, including cortisol, cortisone, 11-deoxycortisol, 18-hydroxycortisol, 18-oxocortisol, corticosterone, aldosterone, estrone, testosterone, dihydrotestosterone, dehydroepiandrosterone sulfate, 11-ketotestosterone, and 11-hydroxytestosterone, fluctuated with sampling time. Moreover, levels of pregnenolone and progesterone decreased within 1 hour of sampling, with pregnenolone becoming unstable with storage time at 4 degrees after centrifugation, while other hormone levels remained relatively stable for a short period of time without or after centrifugation of the sample. This is the first instance real-world data has been used to assess the pre-analytic stability of plasma hormones and to evaluate the impact of physiological factors on steroid hormones.
由于类固醇对于诊断内分泌疾病至关重要,因此缺乏对影响激素水平的因素的研究使得解释结果变得困难。我们的研究旨在使用真实世界的数据评估分析前过程的稳定性和激素生理波动的影响。这些数据集是使用我们实验室在 2019 年 9 月至 2024 年 3 月期间对个体进行类固醇激素测量获得的 12418 个记录创建的。使用经过良好验证的液相色谱串联质谱法测量了血浆中的 22 种类固醇激素。在进行归一化转换、剔除异常值和 Z 分数归一化后,构建广义加性模型以评估分析前的稳定性以及年龄、性别和样本时间依赖性的激素波动。大多数激素都表现出与年龄相关的显著可变性,特别是类固醇激素前体、性激素和某些皮质类固醇,如醛固酮、18-羟基皮质醇、18-氧皮质醇。性激素在男性和女性之间存在差异。某些激素的水平,包括皮质醇、皮质酮、11-脱氧皮质醇、18-羟基皮质醇、18-氧皮质醇、皮质酮、醛固酮、雌酮、睾酮、二氢睾酮、脱氢表雄酮硫酸盐、11-酮睾酮和 11-羟基睾酮,随采样时间而波动。此外,孕烯醇酮和孕酮的水平在采样后 1 小时内下降,在离心后 4 度时储存时间不稳定,而其他激素水平在没有或离心后样本的短时间内相对稳定。这是首次使用真实世界的数据评估血浆激素的分析前稳定性,并评估生理因素对类固醇激素的影响。