唾液皮质醇和可的松的昼夜生物变化。

IF 3.8 2区 医学 Q1 MEDICAL LABORATORY TECHNOLOGY Clinical chemistry and laboratory medicine Pub Date : 2024-05-09 DOI:10.1515/cclm-2024-0196
Elisa Danese, Andrea Padoan, Davide Negrini, Elisa Paviati, Matteo De Pastena, Alessandro Esposito, Giuseppe Lippi, Martina Montagnana
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引用次数: 0

摘要

研究目的人们越来越关注唾液皮质醇和可的松浓度在压力相关研究中的相关性。为了将唾液皮质醇和可的松的变化幅度正确地归因于应激事件的影响,需要对这两种类固醇在整个昼夜周期中的日间个体内和个体间变异性有一个连贯的了解。然而,目前尚缺乏此类信息:本研究采用 LC-MS/MS 方法对唾液皮质醇和可的松在一天之内和五天之间的生物变异 (BV) 进行了调查,旨在克服这些现有的局限性。在五天内,每天 8:00、12:00、15:00、19:00 和 23:00 起床后立即采集 20 名健康志愿者的唾液样本。所有样本均一式两份进行分析。采用嵌套方差分析计算分析和生物变异成分的平方和:唾液皮质醇和可的松的受试者内变异系数(CVI)分别为最小 29.3 % 和 19.0 %,最大 56.5 % 和 49.1 %,而受试者间生物变异系数(CVG)分别为 29.7 % 和 29.0 %,最大 51.6 % 和 43.6 %。皮质醇的参考变化值(RCVs)从 96% 到 245% 不等,可的松的参考变化值从 55% 到 194% 不等。两种化合物在所有时间点的个体化指数均为中等:本研究提供了一天中不同时间段的最新BV估计值和RCV,可用于评估未来压力相关研究中生物标志物的变化幅度。
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Diurnal and day-to-day biological variation of salivary cortisol and cortisone.

Objectives: There is a growing interest in the relevance of salivary cortisol and cortisone concentrations in stress-related research. To correctly attribute the magnitude of salivary cortisol and cortisone variation as an effect of a stressful event, a coherent understanding of the day-to-day intra-individual and inter-individual variability across the diurnal cycle of the two steroids is required. However, such information is currently lacking.

Methods: This study aimed to overcome these existing limitations by performing an investigation of the biological variation (BV) of salivary cortisol and cortisone within one day and between five days using an LC-MS/MS method. Saliva samples were collected from 20 healthy volunteers immediately after waking up, at 8:00, 12:00, 15:00, 19:00 and 23:00 on each day over five days. All samples were analyzed in duplicate in one run. Nested ANOVA was used to calculate the sums of squares for analytical and biological components of variation.

Results: The within-subject BV of salivary cortisol and cortisone (CVI) ranged from a minimum of 29.3 and 19.0 % to a maximum of 56.5 and 49.1 %, respectively, while the between-subject biological variation (CVG) ranged from 29.7 and 29.0 % to 51.6 and 43.6 %. The reference change values (RCVs) ranged from 96 to 245 % for cortisol and from 55 to 194 % for cortisone. A medium index of individuality was observed for both compounds at all time points.

Conclusions: This study provides updated BV estimates and RCVs for different times of day that can be used to assess the magnitude of change in biomarkers in future stress-related research.

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来源期刊
Clinical chemistry and laboratory medicine
Clinical chemistry and laboratory medicine 医学-医学实验技术
CiteScore
11.30
自引率
16.20%
发文量
306
审稿时长
3 months
期刊介绍: Clinical Chemistry and Laboratory Medicine (CCLM) publishes articles on novel teaching and training methods applicable to laboratory medicine. CCLM welcomes contributions on the progress in fundamental and applied research and cutting-edge clinical laboratory medicine. It is one of the leading journals in the field, with an impact factor over 3. CCLM is issued monthly, and it is published in print and electronically. CCLM is the official journal of the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) and publishes regularly EFLM recommendations and news. CCLM is the official journal of the National Societies from Austria (ÖGLMKC); Belgium (RBSLM); Germany (DGKL); Hungary (MLDT); Ireland (ACBI); Italy (SIBioC); Portugal (SPML); and Slovenia (SZKK); and it is affiliated to AACB (Australia) and SFBC (France). Topics: - clinical biochemistry - clinical genomics and molecular biology - clinical haematology and coagulation - clinical immunology and autoimmunity - clinical microbiology - drug monitoring and analysis - evaluation of diagnostic biomarkers - disease-oriented topics (cardiovascular disease, cancer diagnostics, diabetes) - new reagents, instrumentation and technologies - new methodologies - reference materials and methods - reference values and decision limits - quality and safety in laboratory medicine - translational laboratory medicine - clinical metrology Follow @cclm_degruyter on Twitter!
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