样品处理对血清炎症标志物的影响:经验教训

A. Pan, E. Ryu, J. Geske, Xinyang Zhou, S. McElroy, M. Cicek, M. Frye, J. Biernacka, A. Andreazza
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引用次数: 7

摘要

目的:研究样品处理对血清中炎症细胞因子的影响,并强调使用生物银行预采集的样品进行生物标志物研究的挑战。方法:对来自梅奥诊所双相情感障碍生物库的205例双相情感障碍(BD)患者和来自梅奥诊所双相情感障碍生物库的205例非精神病对照患者的血清样本中细胞因子(IL-1β、IL-2、IL-6、IL-8、IL-10、TNFα和IFNγ)的浓度进行测定。由于细胞因子浓度随招募部位的不同而变化,我们使用事后模型来测试临床变量和预处理时间对细胞因子的影响。为了实验评价预处理时间的影响,我们对6名健康志愿者在不同时间点处理后的血清和血浆中的细胞因子进行了检测。结果:BD组细胞因子水平明显升高。然而,细胞因子水平和预处理时间因招募地点而异,事后分析显示预处理时间与几种细胞因子显著相关。一项使用健康志愿者样本的实验证实,大多数细胞因子的浓度随着预处理时间的延长而增加。结论:处理延迟影响血液样本中细胞因子的浓度。鉴于生物银行在研究中的使用越来越多,本研究强调了在设计生物标志物研究时仔细评估样本收集和处理方法的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The impact of sample processing on inflammatory markers in serum: Lessons learned
Abstract Objectives: To investigate the effect of sample handling on inflammatory cytokines in serum and highlight challenges with using samples pre-collected from biobanks for biomarker research. Methods: Cytokine concentrations (IL-1β, IL-2, IL-6, IL-8, IL-10, TNFα, and IFNγ) were measured in serum samples of 205 patients with bipoldar disorder (BD) from the Mayo Clinic Bipolar Disorder Biobank and 205 non-psychiatric controls from the Mayo Clinic Biobank. As cytokine concentrations varied by recruitment site, post-hoc models were used to test the effect of clinical variables and pre-processing time on cytokines. To evaluate the effect of pre-processing time experimentally, cytokines were assayed in serum and plasma from 6 healthy volunteers processed at different time points. Results: Cytokine levels were significantly higher in the BD group. However, both cytokine levels and pre-processing times differed by recruitment site, and post-hoc analyses revealed that pre-processing time was significantly associated with several cytokines. An experiment using samples from healthy volunteers confirmed that concentrations for most cytokines increased with longer pre-processing times. Conclusions: Delays in processing influence cytokine concentrations in blood samples. Given the increasing use of biobanks in research, this study highlights the need to carefully evaluate sample collection and handling methods when designing biomarker studies.
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