Institute for Women's Health, University College London, 74 Huntley Street, London WC1E 6AU, UK.
Steroids. 2024 Nov;211:109502. doi: 10.1016/j.steroids.2024.109502. Epub 2024 Aug 29.
The analysis of steroids for endocrine disorders is in transition from immunoassay of individual steroids to more specific chromatographic and mass spectrometric methods with simultaneous determination of several steroids. Gas chromatography (GC) and liquid chromatography (LC) coupled with mass spectrometry (MS) offer unrivalled analytical capability for steroid analysis. These specialist techniques were often judged to be valuable only in a research laboratory but this is no longer the case. In a urinary steroid profile up to 30 steroids are identified with concentrations and excretion rates reported in a number of ways. The assays must accommodate the wide range in steroid concentrations in biological fluids from micromolar for dehydroepiandrosterone sulphate (DHEAS) to picomolar for oestradiol and aldosterone. For plasma concentrations, panels of 5-20 steroids are reported. The profile results are complex and interpretation is a real challenge in order to inform clinicians of likely implications. Although artificial intelligence and machine learning will in time generate reports from the analysis this is a way off being adopted into clinical practice. This review offers guidance on current interpretation of the data from steroid determinations in clinical practice. Using this approach more laboratories can use the techniques to answer clinical questions and offer broader interpretation of the results so that the clinician can understand the conclusion for the steroid defect, and can be advised to program further tests if necessary and instigate treatment. The biochemistry is part of the patient workup and a clinician led multidisciplinary team discussion of the results will be required for challenging patients. The laboratory will have to consider cost implications, bearing in mind that staff costs are the highest component. GC-MS and LC-MS/MS analysis of steroids are the choices. Steroid profiling has enormous potential to improve diagnosis of adrenal disorders and should be adopted in more laboratories in favour of the cheap, non-specific immunological methods.
用于内分泌紊乱分析的类固醇分析正从对单个类固醇的免疫测定向更具特异性的色谱和质谱方法转变,这些方法可同时测定几种类固醇。气相色谱(GC)和液相色谱(LC)与质谱(MS)联用为类固醇分析提供了无与伦比的分析能力。这些专业技术通常被认为仅在研究实验室中才有价值,但情况已不再如此。在尿类固醇图谱中,可鉴定多达 30 种类固醇,以多种方式报告浓度和排泄率。这些检测必须适应生物体液中类固醇浓度的广泛范围,从脱氢表雄酮硫酸盐(DHEAS)的微摩尔到雌二醇和醛固酮的皮摩尔。对于血浆浓度,报告了 5-20 种类固醇的检测。图谱结果复杂,解释具有挑战性,目的是向临床医生告知可能的影响。尽管人工智能和机器学习最终将能够从分析中生成报告,但要将其应用于临床实践还有很长的路要走。这篇综述提供了关于目前在临床实践中从类固醇测定中解读数据的指导。使用这种方法,更多的实验室可以利用这些技术来回答临床问题,并对结果进行更广泛的解读,以便临床医生了解类固醇缺陷的结论,并在必要时建议进一步检测和开始治疗。生物化学是患者检查的一部分,对于有挑战性的患者,需要由临床医生领导的多学科团队对结果进行讨论。实验室将不得不考虑成本影响,牢记人员成本是最高的组成部分。GC-MS 和 LC-MS/MS 分析类固醇是首选。类固醇分析具有极大的潜力,可以改善肾上腺疾病的诊断,应该在更多的实验室中采用,以取代廉价、非特异性的免疫方法。