Portugal-Nunes Carlos, Reis Joana, Coelho Ana, Moreira Pedro Silva, Castanho Teresa Costa, Magalhães Ricardo, Marques Paulo, Soares José Miguel, Amorim Liliana, Cunha Pedro Guimarães, Santos Nadine Correia, Costa Patrício, Palha Joana Almeida, Sousa Nuno, Bessa João Miguel
Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Braga, Portugal.
ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal.
Front Aging Neurosci. 2021 Aug 2;13:618623. doi: 10.3389/fnagi.2021.618623. eCollection 2021.
Numerous studies suggest a relationship between depression and metabolic syndrome, which is likely influenced by age. Interestingly, functional imaging analysis has shown an association between functional connectivity in the default mode network (DMN-FC) and components of metabolic syndrome, which is explored in this study. From a larger longitudinal cohort study on healthy aging, 943 individuals were extensively characterized for mood and cognition. Among these, 120 individuals who were selected for displaying extreme cognitive performance within the normal range (good and poor performers) were further studied. Here, in a cross-sectional design, using confirmatory factor analysis (CFA), the association between metabolic dysfunction and depressive mood as a function of age and its relationship with DMN-FC was studied. Metabolic dysfunction was modeled as a second-order latent variable using CFA. First-order latent variables were obesity, glucose dysmetabolism, lipids imbalance, and blood pressure. Using multiple linear regression models, this study observed that metabolic dysfunction, glucose dysmetabolism, and lipids imbalance were linearly associated with depressive mood, and the association with obesity was U-shaped. The association of metabolic dysfunction, obesity, and glucose dysmetabolism with depressive mood is positive for the younger individuals in our sample and vanishes with aging. The FC of the right superior temporal gyrus with the DMN correlated with both obesity and depressive mood. In participants with higher obesity scores, FC increased with higher GDS scores, while in those with lower GDS scores, FC decreased. Age and blood pressure were associated with a more complex pattern of association between FC of the right supramarginal gyrus and GDS score. The association of metabolic dysfunction with depressive mood is influenced by age and relates with differential patterns of DMN-FC. The combination of the effects of age, mood, and metabolic dysfunction is likely to explain the heterogeneity of DMN-FC, which deserves further investigation with larger and longitudinal studies.
众多研究表明抑郁症与代谢综合征之间存在关联,而这可能受年龄影响。有趣的是,功能成像分析显示默认模式网络中的功能连接性(DMN-FC)与代谢综合征的组成部分之间存在关联,本研究对此进行了探讨。在一项关于健康老龄化的大型纵向队列研究中,对943名个体的情绪和认知进行了广泛表征。其中,选取了120名在正常范围内表现出极端认知能力的个体(表现好和表现差的个体)进行进一步研究。在此,采用横断面设计,运用验证性因子分析(CFA),研究了代谢功能障碍与抑郁情绪之间作为年龄函数的关联及其与DMN-FC的关系。使用CFA将代谢功能障碍建模为二阶潜在变量。一阶潜在变量为肥胖、葡萄糖代谢异常、脂质失衡和血压。本研究通过多元线性回归模型观察到,代谢功能障碍、葡萄糖代谢异常和脂质失衡与抑郁情绪呈线性相关,与肥胖的关联呈U形。在我们的样本中,代谢功能障碍、肥胖和葡萄糖代谢异常与抑郁情绪的关联在较年轻个体中为正,且随年龄增长而消失。右侧颞上回与DMN的功能连接性与肥胖和抑郁情绪均相关。在肥胖得分较高的参与者中,功能连接性随老年抑郁量表(GDS)得分升高而增加,而在GDS得分较低者中,功能连接性降低。年龄和血压与右侧缘上回的功能连接性和GDS得分之间的关联模式更为复杂。代谢功能障碍与抑郁情绪的关联受年龄影响,并与DMN-FC的不同模式相关。年龄、情绪和代谢功能障碍的综合作用可能解释了DMN-FC的异质性,这值得通过更大规模的纵向研究进一步探讨。