Kumar Ajneesh, Doan Vo Minh, Kunkli Balázs, Csősz Éva
Proteomics Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Biomarker Research Group, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
Front Genet. 2021 Apr 28;12:633050. doi: 10.3389/fgene.2021.633050. eCollection 2021.
The reanalysis of genomics and proteomics datasets by bioinformatics approaches is an appealing way to examine large amounts of reliable data. This can be especially true in cases such as Alzheimer's disease, where the access to biological samples, along with well-defined patient information can be challenging. Considering the inflammatory part of Alzheimer's disease, our aim was to examine the presence of antimicrobial and immunomodulatory peptides in human proteomic datasets deposited in the publicly available proteomics database ProteomeXchange (http://www.proteomexchange.org/). First, a unified, comprehensive human antimicrobial and immunomodulatory peptide database, containing all known human antimicrobial and immunomodulatory peptides was constructed and used along with the datasets containing high-quality proteomics data originating from the examination of Alzheimer's disease and control groups. A throughout network analysis was carried out, and the enriched GO functions were examined. Less than 1% of all identified proteins in the brain were antimicrobial and immunomodulatory peptides, but the alterations characteristic of Alzheimer's disease could be recapitulated with their analysis. Our data emphasize the key role of the innate immune system and blood clotting in the development of Alzheimer's disease. The central role of antimicrobial and immunomodulatory peptides suggests their utilization as potential targets for mechanistic studies and future therapies.
通过生物信息学方法对基因组学和蛋白质组学数据集进行重新分析，是一种检验大量可靠数据的有吸引力的方式。在诸如阿尔茨海默病等情况下尤其如此，因为获取生物样本以及明确的患者信息可能具有挑战性。考虑到阿尔茨海默病的炎症部分，我们的目的是检查公开可用的蛋白质组学数据库ProteomeXchange（http://www.proteomexchange.org/）中存放的人类蛋白质组数据集中抗菌和免疫调节肽的存在情况。首先，构建了一个统一、全面的人类抗菌和免疫调节肽数据库，其中包含所有已知的人类抗菌和免疫调节肽，并将其与包含源自阿尔茨海默病和对照组检查的高质量蛋白质组学数据的数据集一起使用。进行了全面的网络分析，并检查了富集的基因本体（GO）功能。大脑中所有鉴定出的蛋白质中，抗菌和免疫调节肽不到1%，但通过对它们的分析可以概括出阿尔茨海默病的特征性改变。我们的数据强调了先天免疫系统和血液凝固在阿尔茨海默病发展中的关键作用。抗菌和免疫调节肽的核心作用表明它们可作为机制研究和未来治疗的潜在靶点。
