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遗传性复发性发热中单核细胞的蛋白质组学特征。

Proteomic Signatures of Monocytes in Hereditary Recurrent Fevers.

机构信息

Centro Malattie Autoinfiammatorie ed Immunodeficienze, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Giannina Gaslini, Genova, Italy.

Core Facilities - Clinical Proteomics and Metabolomics, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Giannina Gaslini, Genoa, Italy.

出版信息

Front Immunol. 2022 Jun 23;13:921253. doi: 10.3389/fimmu.2022.921253. eCollection 2022.

Abstract

Hereditary periodic recurrent fevers (HRF) are monogenic autoinflammatory associated to mutations of some genes, such as diseases caused by mutations of including MEFV, TNFRSF1A and MVK genes. Despite the identification of the causative genes, the intracellular implications related to each gene variant are still largely unknown. A large -scale proteomic analysis on monocytes of these patients is aimed to identify with an unbiased approach the mean proteins and molecular interaction networks involved in the pathogenesis of these conditions. Monocytes from HRF 15 patients (5 with MFV, 5 TNFRSF1A and 5with MVK gene mutation) and 15 healthy donors (HDs) were analyzed by liquid chromatography and tandem mass spectrometry before and after lipopolysaccharide (LPS) stimulation. Significant proteins were analyzed through a Cytoscape analysis using the ClueGo app to identify molecular interaction networks. Protein networks for each HRF were performed through a STRING database analysis integrated with a DISEAE database query. About 5000 proteins for each HRF were identified. LPS treatment maximizes differences between up-regulated proteins in monocytes of HRF patients and HDs, independently from the disease's activity and ongoing treatments. Proteins significantly modulated in monocytes of the different HRF allowed creating a disease-specific proteomic signatures and interactive protein network. Proteomic analysis is able to dissect the different intracellular pathways involved in the inflammatory response of circulating monocytes in HRF patients. The present data may help to identify a "monocyte proteomic signature" for each condition and unravel new possible unexplored intracellular pathways possibly involved in their pathogenesis. These data will be also useful to identify possible differences and similarities between the different HRFs and some multifactorial recurrent fevers.

摘要

遗传性周期性发热(HRF)是一种单基因自身炎症性疾病,与某些基因的突变有关,如 MEFV、TNFRSF1A 和 MVK 基因突变引起的疾病。尽管已经确定了致病基因,但与每个基因变异相关的细胞内意义在很大程度上仍然未知。对这些患者的单核细胞进行大规模蛋白质组学分析旨在采用无偏方法鉴定涉及这些疾病发病机制的平均蛋白质和分子相互作用网络。在 LPS 刺激前后,通过液相色谱和串联质谱分析了 15 名 HRF 患者(5 名 MEFV、5 名 TNFRSF1A 和 5 名 MVK 基因突变)和 15 名健康供体(HDs)的单核细胞。通过 Cytoscape 分析使用 ClueGo 应用程序分析显著蛋白,以识别分子相互作用网络。通过 STRING 数据库分析与 DISEAE 数据库查询集成,对每个 HRF 的蛋白质网络进行分析。对于每个 HRF,大约鉴定了 5000 种蛋白质。LPS 处理最大程度地扩大了 HRF 患者和 HDs 单核细胞中上调蛋白之间的差异,与疾病的活动和正在进行的治疗无关。不同 HRF 患者单核细胞中显著调节的蛋白质允许创建疾病特异性蛋白质组学特征和交互式蛋白质网络。蛋白质组学分析能够剖析 HRF 患者循环单核细胞炎症反应中涉及的不同细胞内途径。这些数据可能有助于为每种疾病识别“单核细胞蛋白质组学特征”,并揭示新的可能未被探索的细胞内途径,这些途径可能与其发病机制有关。这些数据还将有助于识别不同 HRF 之间以及一些多因素复发性发热之间的可能差异和相似之处。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b93/9260596/1772847bfdc5/fimmu-13-921253-g001.jpg

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