Moriarity Daniel P, Kautz Marin M, Giollabui Naoise Mac, Klugman Joshua, Coe Christopher L, Ellman Lauren M, Abramson Lyn Y, Alloy Lauren B
Department of Psychology, Temple University, Weiss Hall, 1701 N. 13th St., Philadelphia, PA 19122, United States of America.
Department of Psychology, University of Wisconsin, 1202 West Johnson Street, Madison, WI 53706, United States of America.
Clin Psychol Sci. 2020 Jul;8(4):690-703. doi: 10.1177/2167702620917458. Epub 2020 May 18.
There are inconsistent findings in the literature about the directionality and magnitude of the association between inflammation and depressive symptoms. This analysis separates predictors into between-person and within-person components to gain greater clarity about this relationship. Blood samples were collected and depressive symptoms assessed in 140 adolescents (54% female, 59% Black, Mage = 16.1 years) with at least three blood draws and a total of 394 follow-up observations. Multi-level modeling indicated that the within-person effect of tumor necrosis factor alpha (TNF-α) predicted change in total depressive symptoms, suggesting a potential causal relationship. There were no significant within-person effects of total depressive symptoms on change in biomarkers. Exploratory analyses examined associations between inflammatory biomarkers and subsets of depressive symptoms. These findings inform modeling decisions that may explain inconsistencies in the extant literature as well as suggest potential causal relationships between certain proteins with significant within-person effects on depressive symptoms, and vice-versa.
关于炎症与抑郁症状之间关联的方向性和强度，文献中的研究结果并不一致。本分析将预测因素分为个体间和个体内成分，以更清晰地了解这种关系。对140名青少年（54%为女性，59%为黑人，平均年龄16.1岁）采集血样并评估抑郁症状，这些青少年至少有三次采血，共进行了394次随访观察。多层次模型表明，肿瘤坏死因子α（TNF-α）的个体内效应可预测总抑郁症状的变化，提示可能存在因果关系。总抑郁症状对生物标志物变化没有显著的个体内效应。探索性分析研究了炎症生物标志物与抑郁症状亚组之间的关联。这些发现为模型决策提供了依据，这可能解释现有文献中的不一致之处，并提示某些对抑郁症状有显著个体内效应的蛋白质之间可能存在因果关系，反之亦然。
