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动态神经炎症特征可预测含小胶质细胞的脑类器官中的阿尔茨海默病病理。

Dynamic neuroinflammatory profiles predict Alzheimer's disease pathology in microglia-containing cerebral organoids.

作者信息

Kuhn Madison K, Kang Rachel Y, Kim ChaeMin, Tagay Yerbol, Morris Nathan, Tabdanov Erdem D, Elcheva Irina A, Proctor Elizabeth A

机构信息

Department of Neurosurgery, Penn State College of Medicine, Hershey, PA, USA.

Department of Pharmacology, Penn State College of Medicine, Hershey, PA, USA.

出版信息

bioRxiv. 2024 Apr 3:2023.11.16.567220. doi: 10.1101/2023.11.16.567220.

Abstract

Neuroinflammation and the underlying dysregulated immune responses of microglia actively contribute to the progression and, likely, the initiation of Alzheimer's disease (AD). Fine-tuned therapeutic modulation of immune dysfunction to ameliorate disease cannot be achieved without the characterization of diverse microglial states that initiate unique, and sometimes contradictory, immune responses that evolve over time in chronic inflammatory environments. Because of the functional differences between human and murine microglia, untangling distinct, disease-relevant reactive states and their corresponding effects on pathology or neuronal health may not be possible without the use of human cells. In order to profile shifting microglial states in early AD and identify microglia-specific drivers of disease, we differentiated human induced pluripotent stem cells (iPSCs) carrying a familial AD PSEN2 mutation or its isogenic control into cerebral organoids and quantified the changes in cytokine concentrations over time with Luminex XMAP technology. We used partial least squares (PLS) modeling to build cytokine signatures predictive of disease and age to identify key differential patterns of cytokine expression that inform the overall organoid immune milieu and quantified the corresponding changes in protein pathology. AD organoids exhibited an overall reduction in cytokine secretion after an initial amplified immune response. We demonstrate that reduced synapse density observed in the AD organoids is prevented with microglial depletion. Crucially, these differential effects of dysregulated immune signaling occurred without the accumulation of pathological proteins. In this study, we used microglia-containing AD organoids to quantitatively characterize an evolving immune milieu, made up of a diverse of collection of activation patterns and immune responses, to identify how a dynamic, overall neuroinflammatory state negatively impacts neuronal health and the cell-specific contribution of microglia.

摘要

神经炎症以及小胶质细胞潜在的免疫反应失调,积极推动了阿尔茨海默病(AD)的进展,甚至可能是其发病的原因。如果不了解不同的小胶质细胞状态,就无法实现对免疫功能障碍进行精准的治疗调节以改善疾病,这些不同状态会引发独特的、有时甚至相互矛盾的免疫反应,且在慢性炎症环境中会随时间演变。由于人类和小鼠小胶质细胞存在功能差异,若不使用人类细胞,就可能无法厘清与疾病相关的不同反应状态及其对病理或神经元健康的相应影响。为了剖析早期AD中小胶质细胞状态的变化,并确定疾病中特定于小胶质细胞的驱动因素,我们将携带家族性AD PSEN2突变或其同基因对照的人类诱导多能干细胞(iPSC)分化为脑类器官,并使用Luminex XMAP技术随时间定量细胞因子浓度的变化。我们使用偏最小二乘法(PLS)建模来构建预测疾病和年龄的细胞因子特征,以识别细胞因子表达的关键差异模式,这些模式反映了整体类器官免疫环境,并对蛋白质病理学的相应变化进行了定量分析。AD类器官在最初的免疫反应放大后,细胞因子分泌总体减少。我们证明,通过清除小胶质细胞可防止AD类器官中观察到的突触密度降低。至关重要的是,免疫信号失调的这些差异效应在没有病理性蛋白质积累的情况下就已出现。在本研究中,我们使用含有小胶质细胞的AD类器官来定量表征不断演变的免疫环境,该环境由多种激活模式和免疫反应组成,以确定动态的整体神经炎症状态如何对神经元健康产生负面影响以及小胶质细胞的细胞特异性作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e7dc/11005568/9a6dd1a99317/nihpp-2023.11.16.567220v2-f0001.jpg

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