Liquid chromatography mass spectrometry of segmented hair cortisol – A Bayesian retrospective window

IF 3.1 3区医学 Q2 CHEMISTRY, ANALYTICAL

Journal of pharmaceutical and biomedical analysis Pub Date : 2025-08-26 DOI:10.1016/j.jpba.2025.117127

Pavel Šmak , Robin Kotouček , Katarína Kostolanská , Eliška Bartečková , Jan Juřica , Libor Ustohal , Jana Hořínková , Pavla Linhartová , Ondřej Peš , Martin Čuta , Eva Táborská , Jana Gregorová

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引用次数: 0

Abstract

This study aimed to develop a robust methodology for quantifying cortisol decay in segmented human hair and to establish accurate retrospective estimates of initial cortisol levels. Two independent probabilistic approaches were employed: i) a Bayesian multilevel analysis across 37 individuals with 3–6 hair segments each and ii) a Bayesian repeated sampling approach in a single individual with 10 segments collected over eight months. All hair segments were analyzed for cortisol concentration using liquid chromatography-mass spectrometry with on-line solid phase extraction. Both approaches demonstrated an exponential decay pattern of cortisol in hair, with estimated decay constants (k) of 0.16 (95 % Credible interval: 0.10–0.22) and 0.11 (95 % Credible interval: 0.06–0.15), respectively. A correction factor was introduced to significantly enhance the accuracy of initial cortisol level estimation, enabling more reliable comparisons with reference intervals obtained from proximal hair segments. This innovative method has the potential to significantly improve long-term cortisol monitoring and advance clinical research especially in psychiatry and endocrinology.

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分节头发皮质醇的液相色谱质谱分析-贝叶斯回溯窗口

本研究旨在开发一种可靠的方法来量化分节人类头发中的皮质醇衰变，并建立准确的初始皮质醇水平的回顾性估计。采用了两种独立的概率方法：i)对37个个体进行贝叶斯多水平分析，每个个体有3-6个头发段；ii)对单个个体进行贝叶斯重复抽样，在8个月内收集10个头发段。使用液相色谱-质谱联用在线固相萃取法分析所有头发段的皮质醇浓度。两种方法均显示毛发中皮质醇呈指数衰减模式，估计衰减常数(k)分别为0.16（95 %可信区间：0.10-0.22）和0.11（95 %可信区间：0.06-0.15）。引入校正因子以显著提高初始皮质醇水平估计的准确性，从而与从近端毛发段获得的参考区间进行更可靠的比较。这种创新的方法有潜力显著改善长期皮质醇监测和推进临床研究，特别是在精神病学和内分泌学。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of pharmaceutical and biomedical analysis 医学-分析化学

CiteScore

6.70

自引率

5.90%

发文量

588

审稿时长

37 days

期刊介绍： This journal is an international medium directed towards the needs of academic, clinical, government and industrial analysis by publishing original research reports and critical reviews on pharmaceutical and biomedical analysis. It covers the interdisciplinary aspects of analysis in the pharmaceutical, biomedical and clinical sciences, including developments in analytical methodology, instrumentation, computation and interpretation. Submissions on novel applications focusing on drug purity and stability studies, pharmacokinetics, therapeutic monitoring, metabolic profiling; drug-related aspects of analytical biochemistry and forensic toxicology; quality assurance in the pharmaceutical industry are also welcome. Studies from areas of well established and poorly selective methods, such as UV-VIS spectrophotometry (including derivative and multi-wavelength measurements), basic electroanalytical (potentiometric, polarographic and voltammetric) methods, fluorimetry, flow-injection analysis, etc. are accepted for publication in exceptional cases only, if a unique and substantial advantage over presently known systems is demonstrated. The same applies to the assay of simple drug formulations by any kind of methods and the determination of drugs in biological samples based merely on spiked samples. Drug purity/stability studies should contain information on the structure elucidation of the impurities/degradants.