Melbourne School of Psychological Sciences, 12th loor Redmond Barry Building, The University of Melbourne, Melbourne, Victoria, 3010 Australia.
Melbourne School of Psychological Sciences, 12th loor Redmond Barry Building, The University of Melbourne, Melbourne, Victoria, 3010 Australia; Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Parkville, Australia.
Psychoneuroendocrinology. 2019 Jan;99:104-111. doi: 10.1016/j.psyneuen.2018.08.035. Epub 2018 Sep 8.
Inflammatory markers including C-Reactive Protein (CRP) are increasingly used within research and clinical settings. Yet, varying methodologies for cleaning immunoassay data with out of range (OOR) samples may alter characteristic levels of CRP, thereby obscuring interpretation and reliability. This study investigated the influence of eight immunoassay OOR data treatment techniques on salivary CRP (sCRP) samples from at-risk adolescents. Participants from the 'Sleep and Education: learning New Skills Early' (SENSE) Study were 86 adolescents at-risk for depression (50 female), aged 14.29 years (SD = 1.04). ANOVA results showed no statistically significant differences in average morning (F(7, 590) = 1.24, p = .28) and evening (F(7, 599)=1.29, p = .25) values produced by each OOR data cleaning technique. However, varying techniques produced differences in the magnitude of Pearson's correlations between consecutive saliva samples (r's between 0.27-0.78), and influenced the significance of a sCRP diurnal pattern; two techniques produced statistically higher morning than evening sCRP levels (t(85) = 2.70, p = .01 and t(85) = 2.67, p = .01), whereas six techniques failed to find statistical differences between morning and evening sCRP levels (p's >.05). Varying techniques also produced statistically divergent associations between sCRP and age and depressive symptoms. Results from this study provide evidence for the temporal stability of sCRP among adolescents, show winsorization as an effective OOR data management technique, and highlight the influence of methodological decisions in cleaning salivary biomarker data and the need for consistency within the field.
炎症标志物,包括 C 反应蛋白(CRP),在研究和临床环境中越来越多地被使用。然而,用于清洗超出范围(OOR)样本的免疫分析数据的不同方法可能会改变 CRP 的特征水平,从而模糊解释和可靠性。本研究调查了八种免疫分析 OOR 数据处理技术对处于危险中的青少年唾液 CRP(sCRP)样本的影响。来自“睡眠与教育:尽早学习新技能”(SENSE)研究的参与者是 86 名有抑郁风险的青少年(50 名女性),年龄为 14.29 岁(SD=1.04)。方差分析结果显示,每种 OOR 数据清洗技术产生的平均晨(F(7, 590)=1.24,p=.28)和晚(F(7, 599)=1.29,p=.25)值之间没有统计学上的显著差异。然而,不同的技术在连续唾液样本之间 Pearson 相关系数的大小上产生了差异(r 值在 0.27-0.78 之间),并影响了 sCRP 昼夜模式的显著性;两种技术产生了统计学上更高的晨 sCRP 水平(t(85)=2.70,p=.01 和 t(85)=2.67,p=.01),而六种技术未能发现晨 sCRP 水平与晚 sCRP 水平之间的统计学差异(p>.05)。不同的技术还产生了 sCRP 与年龄和抑郁症状之间统计学上不同的关联。本研究的结果为青少年 sCRP 的时间稳定性提供了证据,表明 Winsorization 是一种有效的 OOR 数据管理技术,并强调了在清洗唾液生物标志物数据时方法学决策的影响,以及在该领域内保持一致性的必要性。