Department of Medical Psychology and Ethics, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, China.
Gerontology Research Programme, Department of Psychological Medicine, National University Health System, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Psychoneuroendocrinology. 2022 Aug;142:105806. doi: 10.1016/j.psyneuen.2022.105806. Epub 2022 May 23.
The association between pro-inflammatory cytokines and depression is widely acknowledged. However, longitudinal data that show they lead to depression are few. In a community-based sample of older individuals (n = 2761, ages = 55-98 y) in the Singapore Longitudinal Ageing Study (SLAS), we analyzed the associations between inflammatory markers (CRP, IL6, TNFα, and inflammation risk score) and depression (defined as the presence of depressive symptoms, depression history or treatment). Cross-sectional analysis showed that CRP, IL-6 and TNFα were significantly associated with depression at baseline. Longitudinal analysis controlling for a host of potentially confounding risk factors and initial depression revealed that IL-6, TNFα, and inflammation risk score were associated with elevated risk of depression at follow-ups. However, there was no significant association between CRP and subsequent depression after adjusting for sociodemographic, lifestyles and inflammatory medical condition variables. In summary, this prospective study shows that inflammation predicts depression in older adults, and suggests that the heterogeneous findings among studies may be due to differences in study population characteristics, depression, inflammatory markers, and the extent of adjusting for confounders.
促炎细胞因子与抑郁症之间的关联已得到广泛认可。然而,表明它们导致抑郁症的纵向数据却很少。在新加坡纵向老龄化研究(SLAS)中,我们对基于社区的老年个体样本(n=2761,年龄=55-98 岁)进行了分析,研究了炎症标志物(CRP、IL6、TNFα 和炎症风险评分)与抑郁症(定义为存在抑郁症状、抑郁病史或治疗)之间的关联。横断面分析显示,CRP、IL-6 和 TNFα 与基线时的抑郁显著相关。在控制了一系列潜在混杂风险因素和初始抑郁后进行的纵向分析表明,IL-6、TNFα 和炎症风险评分与随访时的抑郁风险升高相关。然而,在调整社会人口统计学、生活方式和炎症性医疗状况变量后,CRP 与随后的抑郁之间没有显著关联。总之,这项前瞻性研究表明炎症可预测老年人的抑郁症,并表明研究之间存在不一致的结果可能是由于研究人群特征、抑郁症、炎症标志物和混杂因素调整程度的差异所致。