Cytokine Patterns in Healthy Adolescent Girls: Heterogeneity Captured by Variable and Person-Centered Statistical Strategies.
Cytokine Patterns in Healthy Adolescent Girls: Heterogeneity Captured by Variable and Person-Centered Statistical Strategies.
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DOI：
10.1097/psy.0000000000000321
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发表时间：
2016-07
影响因子：
3.3
通讯作者：
Denson LA
中科院分区：
文献类型：
--
作者：
Dorn LD;Gayles JG;Engeland CG;Houts R;Cizza G;Denson LA
很少有人知道在一个大的健康，儿科人群的个体细胞因子/细胞因子谱的变化。当健康组中的细胞因子不像疾病状态中那样异常高时，确定适当的统计策略是具有挑战性的。目的是：1）描述健康青春期女孩中细胞因子浓度和谱之间的变化，2）说明细胞因子研究中新颖的数据简化方法的效用，[以变量为中心（主因子分析; PFA），以人为中心（潜在谱分析; LPA）]，和3）证明这些方法在将细胞因子谱与健康结果联系起来方面的效用（例如，抑郁、焦虑症状）。分析了262名女孩（11岁、13岁、15岁和17岁）血清中代表适应性和先天性免疫应答的13种细胞因子。细胞因子浓度变化很大。PFA揭示了一个4因素的解决方案，解释了13种细胞因子之间73.13%的共享方差（例如，因子1包括IL-4、IL-13、IL-5、IFN-γ，共享方差的26.65%。LPA支持将女孩分为以“总体高”（7.3%的样本）、“高适应性”（26.7%）、“高先天性”（21%）或“总体低”（45%）细胞因子水平为特征的亚组。因素和概况有助于描述抑郁/焦虑症状的个体差异（例如，因子1与抑郁症状呈正相关，但与特质焦虑呈负相关;抑郁症状或特质焦虑的增加与“高适应性”组中的更大可能性相关。健康的女孩表现出细胞因子水平和变异模式的差异，并与心理变量的重要关联。PFA和LPA提供了新的方法，用于检查健康人群中的细胞因子面板。
Little is known about variation in individual cytokines/cytokine profiles for a large healthy, pediatric population. When cytokines in a healthy group are not abnormally high as in a disease state, it is challenging to determine appropriate statistical strategies. Aims were to: 1) describe variation among cytokine concentrations and profiles in healthy adolescent girls, 2) illustrate utility of data reduction approaches novel to cytokine research, [variable-centered (Principal Factor Analysis; PFA), person-centered (Latent Profile Analysis; LPA)], and 3) demonstrate utility of such methods in linking cytokine profiles to health outcomes (e.g., depressive, anxiety symptoms). Serum was analyzed for 13 cytokines representing adaptive and innate immune responses in 262 girls (11, 13, 15, and 17y). There was great variation in cytokine concentrations. PFA revealed a 4-factor solution explaining 73.13% of the shared variance among 13 cytokines (e.g., Factor 1 included IL-4, IL-13, IL-5, IFN-γ; 26.65% of the shared variance). The LPA supported classifying girls into subgroups characterized by “High Overall” (7.3% of sample), “High Adaptive” (26.7%), “High Innate (21%) or “Low Overall (45%) cytokine levels. Factors and profiles were useful in describing individual differences in depressive/anxiety symptoms (e.g., Factor 1 positively associated with depressive symptoms but negatively with trait anxiety; increased depressive symptoms or trait anxiety was associated with greater likelihood of being in the “High Adaptive” group). Healthy girls showed differences in cytokine levels and patterns of variation and important associations with psychological variables. PFA and LPA offer novel approaches useful for examining cytokine panels in healthy populations.