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脑脊液蛋白质组的网络分析揭示了肌萎缩侧索硬化症中细胞功能障碍的趋同途径。

Network Analysis of the CSF Proteome Characterizes Convergent Pathways of Cellular Dysfunction in ALS.

作者信息

Thompson Alexander G, Gray Elizabeth, Charles Philip D, Hu Michele T M, Talbot Kevin, Fischer Roman, Kessler Benedikt M, Turner Martin R

机构信息

Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.

Target Discovery Institute, Centre for Medicines Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.

出版信息

Front Neurosci. 2021 Mar 17;15:642324. doi: 10.3389/fnins.2021.642324. eCollection 2021.

Abstract

BACKGROUND

Amyotrophic lateral sclerosis is a clinical syndrome with complex biological determinants, but which in most cases is characterized by TDP-43 pathology. The identification in CSF of a protein signature of TDP-43 network dysfunction would have the potential to inform the identification of new biomarkers and therapeutic targets.

METHODS

We compared CSF proteomic data from patients with ALS ( = 41), Parkinson's disease ( = 19) and healthy control participants ( = 20). Weighted correlation network analysis was used to identify modules within the CSF protein network and combined with gene ontology enrichment analysis to functionally annotate module proteins. Analysis of module eigenproteins and differential correlation analysis of the CSF protein network was used to compare ALS and Parkinson's disease protein co-correlation with healthy controls. In order to monitor temporal changes in the CSF proteome, we performed longitudinal analysis of the CSF proteome in a subset of ALS patients.

RESULTS

Weighted correlation network analysis identified 10 modules, including those enriched for terms involved in gene expression including nucleic acid binding, RNA metabolism and translation; humoral immune system function, including complement pathways; membrane proteins, axonal outgrowth and adherence; and glutamatergic synapses. Immune system module eigenproteins were increased in ALS, whilst axonal module eigenproteins were decreased in ALS. The 19 altered protein correlations in ALS were enriched for gene expression (OR 3.05, = 0.017) and membrane protein modules (OR 17.48, = 0.011), including intramodular hub proteins previously identified as TDP-43 interactors. Proteins decreasing over longitudinal analysis ALS were enriched in glutamatergic synapse and axonal outgrowth modules. Protein correlation network disruptions in Parkinson's disease showed no module enrichment.

CONCLUSIONS

Alterations in the co-correlation network in CSF samples identified a set of pathways known to be associated with TDP-43 dysfunction in the pathogenesis of ALS, with important implications for therapeutic targeting and biomarker development.

摘要

背景

肌萎缩侧索硬化症是一种具有复杂生物学决定因素的临床综合征,但在大多数情况下其特征为TDP - 43病理改变。在脑脊液中鉴定出TDP - 43网络功能障碍的蛋白质特征,有可能为新生物标志物和治疗靶点的鉴定提供信息。

方法

我们比较了肌萎缩侧索硬化症患者(n = 41)、帕金森病患者(n = 19)和健康对照者(n = 20)的脑脊液蛋白质组学数据。加权相关网络分析用于识别脑脊液蛋白质网络中的模块,并结合基因本体富集分析对模块蛋白进行功能注释。通过分析模块特征蛋白以及脑脊液蛋白质网络的差异相关性分析,比较肌萎缩侧索硬化症和帕金森病蛋白质与健康对照的共相关性。为了监测脑脊液蛋白质组的时间变化,我们对一部分肌萎缩侧索硬化症患者的脑脊液蛋白质组进行了纵向分析。

结果

加权相关网络分析确定了10个模块,包括那些富含参与基因表达的术语的模块,如核酸结合、RNA代谢和翻译;体液免疫系统功能,包括补体途径;膜蛋白、轴突生长和黏附;以及谷氨酸能突触。免疫系统模块特征蛋白在肌萎缩侧索硬化症中增加,而轴突模块特征蛋白在肌萎缩侧索硬化症中减少。肌萎缩侧索硬化症中19种改变的蛋白质相关性在基因表达(OR 3.05,P = 0.017)和膜蛋白模块(OR 17.48,P = 0.011)中富集,包括先前被鉴定为TDP - 43相互作用分子的模块内枢纽蛋白。在纵向分析中,肌萎缩侧索硬化症患者中减少的蛋白质在谷氨酸能突触和轴突生长模块中富集。帕金森病中蛋白质相关性网络破坏未显示模块富集。

结论

脑脊液样本中共相关性网络的改变确定了一组已知与肌萎缩侧索硬化症发病机制中TDP - 43功能障碍相关的途径,对治疗靶点和生物标志物开发具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd77/8010303/15166a2e2532/fnins-15-642324-g001.jpg

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