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探寻健康中年成年人神经元萎缩的路径:从慢性应激到全身炎症再到神经退行性变?

Mapping pathways to neuronal atrophy in healthy, mid-aged adults: From chronic stress to systemic inflammation to neurodegeneration?

作者信息

Schaefer Julia K, Engert Veronika, Valk Sofie L, Singer Tania, Puhlmann Lara M C

机构信息

Cognitive Neuropsychology, Department of Psychology, Ludwig-Maximilians-Universität München, Germany.

Research Group "Social Stress and Family Health", Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

出版信息

Brain Behav Immun Health. 2024 Apr 24;38:100781. doi: 10.1016/j.bbih.2024.100781. eCollection 2024 Jul.

DOI:10.1016/j.bbih.2024.100781
PMID:38725445
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11081785/
Abstract

Growing evidence implicates systemic inflammation in the loss of structural brain integrity in natural ageing and disorder development. Chronic stress and glucocorticoid exposure can potentiate inflammatory processes and may also be linked to neuronal atrophy, particularly in the hippocampus and the human neocortex. To improve understanding of emerging maladaptive interactions between stress and inflammation, this study examined evidence for glucocorticoid- and inflammation-mediated neurodegeneration in healthy mid-aged adults. N = 169 healthy adults (mean age = 39.4, 64.5% female) were sampled from the general population in the context of the ReSource Project. Stress, inflammation and neuronal atrophy were quantified using physiological indices of chronic stress (hair cortisol (HCC) and cortisone (HEC) concentration), systemic inflammation (interleukin-6 (IL-6), high-sensitive C-reactive protein (hs-CRP)), the systemic inflammation index (SII), hippocampal volume (HCV) and cortical thickness (CT) in regions of interest. Structural equation models were used to examine evidence for pathways from stress and inflammation to neuronal atrophy. Model fit indices indicated good representation of stress, inflammation, and neurological data through the constructed models (CT model: robust RMSEA = 0.041, robust  = 910.90; HCV model: robust RMSEA <0.001, robust  = 40.95). Among inflammatory indices, only the SII was positively associated with hair cortisol as one indicator of chronic stress (β = 0.18, p < 0.05). Direct and indirect pathways from chronic stress and systemic inflammation to cortical thickness or hippocampal volume were non-significant. In exploratory analysis, the SII was inversely related to mean cortical thickness. Our results emphasize the importance of considering the multidimensionality of systemic inflammation and chronic stress, with various indicators that may represent different aspects of the systemic reaction. We conclude that inflammation and glucocorticoid-mediated neurodegeneration indicated by IL-6 and hs-CRP and HCC and HEC may only emerge during advanced ageing and disorder processes, still the SII could be a promising candidate for detecting associations between inflammation and neurodegeneration in younger and healthy samples. Future work should examine these pathways in prospective longitudinal designs, for which the present investigation serves as a baseline.

摘要

越来越多的证据表明,全身炎症与自然衰老和疾病发展过程中大脑结构完整性的丧失有关。慢性应激和糖皮质激素暴露会增强炎症过程,也可能与神经元萎缩有关,尤其是在海马体和人类新皮层。为了更好地理解应激与炎症之间新出现的适应不良相互作用,本研究调查了健康中年成年人中糖皮质激素和炎症介导的神经退行性变的证据。在“资源项目”的背景下,从普通人群中抽取了N = 169名健康成年人(平均年龄 = 39.4岁,64.5%为女性)。使用慢性应激的生理指标(头发皮质醇(HCC)和可的松(HEC)浓度)、全身炎症指标(白细胞介素-6(IL-6)、高敏C反应蛋白(hs-CRP))、全身炎症指数(SII)、海马体积(HCV)和感兴趣区域的皮质厚度(CT)来量化应激、炎症和神经元萎缩。采用结构方程模型来检验从应激和炎症到神经元萎缩的途径的证据。模型拟合指数表明,通过构建的模型能够很好地呈现应激、炎症和神经学数据(CT模型:稳健RMSEA = 0.041,稳健χ² = 910.90;HCV模型:稳健RMSEA <0.001,稳健χ² = 40.95)。在炎症指标中,只有SII与作为慢性应激指标之一的头发皮质醇呈正相关(β = 0.18,p < 0.05)。从慢性应激和全身炎症到皮质厚度或海马体积的直接和间接途径均无统计学意义。在探索性分析中,SII与平均皮质厚度呈负相关。我们的结果强调了考虑全身炎症和慢性应激多维性的重要性,各种指标可能代表全身反应的不同方面。我们得出结论,IL-6、hs-CRP以及HCC和HEC所表明的炎症和糖皮质激素介导的神经退行性变可能仅在衰老晚期和疾病过程中出现,不过SII可能是在年轻健康样本中检测炎症与神经退行性变之间关联的一个有前景的指标。未来的研究应该在前瞻性纵向设计中检验这些途径,本研究可作为该研究的基线。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01fc/11081785/cd56cce22acf/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01fc/11081785/6c9b2b7ac974/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01fc/11081785/87166a3f1797/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01fc/11081785/cd56cce22acf/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01fc/11081785/6c9b2b7ac974/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01fc/11081785/87166a3f1797/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01fc/11081785/cd56cce22acf/gr3.jpg

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