Plasma proteomics in epilepsy: Network-based identification of proteins associated with seizures.

IF 2 4区医学 Q3 CLINICAL NEUROLOGY

Epilepsy Research Pub Date : 2025-01-01 Epub Date: 2024-11-19 DOI:10.1016/j.eplepsyres.2024.107480

Saman Hosseini Ashtiani, Sarah Akel, Evelin Berger, Johan Zelano

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引用次数: 0

Abstract

Purpose: Identification of potential biomarkers of seizures.

Methods: In this exploratory study, we quantified plasma protein intensities in 15 patients with recent seizures compared to 15 patients with long-standing seizure freedom. Using TMT-based proteomics we found fifty-one differentially expressed proteins.

Results: Network analyses including co-expression networks and protein-protein interaction networks, using the STRING database, followed by network centrality and modularity analyses revealed 22 protein modules, with one module showing a significant association with seizures. The protein-protein interaction network centered around this module identified a subnetwork of 125 proteins, grouped into four clusters. Notably, one cluster (mainly enriching inflammatory pathways and Gene Ontology terms) demonstrated the highest enrichment of known epilepsy-related genes.

Conclusion: Overall, our network-based approach identified a protein module linked with seizures. The module contained known markers of epilepsy and inflammation. The results also demonstrate the potential of network analysis in discovering new biomarkers for improved epilepsy management.

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癫痫的血浆蛋白质组学：与癫痫发作相关的基于网络的蛋白质鉴定。

目的：鉴定癫痫发作的潜在生物标志物。方法：在这项探索性研究中，我们量化了15例近期癫痫发作患者和15例长期癫痫发作无发作患者的血浆蛋白强度。利用基于tmt的蛋白质组学，我们发现了51个差异表达蛋白。结果：使用STRING数据库进行网络分析，包括共表达网络和蛋白质相互作用网络，随后进行网络中心性和模块化分析，发现22个蛋白质模块，其中一个模块显示与癫痫发作显著相关。以该模块为中心的蛋白质-蛋白质相互作用网络确定了125个蛋白质的子网络，分为四个簇。值得注意的是，一个簇（主要富集炎症途径和基因本体术语）显示已知癫痫相关基因的富集程度最高。结论：总的来说，我们基于网络的方法确定了与癫痫发作相关的蛋白质模块。该模块包含已知的癫痫和炎症标志物。研究结果还表明，网络分析在发现改善癫痫管理的新生物标志物方面具有潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Epilepsy Research 医学-临床神经学

CiteScore

0.10

自引率

4.50%

发文量

143

审稿时长

62 days

期刊介绍： Epilepsy Research provides for publication of high quality articles in both basic and clinical epilepsy research, with a special emphasis on translational research that ultimately relates to epilepsy as a human condition. The journal is intended to provide a forum for reporting the best and most rigorous epilepsy research from all disciplines ranging from biophysics and molecular biology to epidemiological and psychosocial research. As such the journal will publish original papers relevant to epilepsy from any scientific discipline and also studies of a multidisciplinary nature. Clinical and experimental research papers adopting fresh conceptual approaches to the study of epilepsy and its treatment are encouraged. The overriding criteria for publication are novelty, significant clinical or experimental relevance, and interest to a multidisciplinary audience in the broad arena of epilepsy. Review articles focused on any topic of epilepsy research will also be considered, but only if they present an exceptionally clear synthesis of current knowledge and future directions of a research area, based on a critical assessment of the available data or on hypotheses that are likely to stimulate more critical thinking and further advances in an area of epilepsy research.