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挖掘与风湿和自身免疫性疾病相关的蛋白质组。

Mining the Proteome Associated with Rheumatic and Autoimmune Diseases.

机构信息

Grupo de Investigación de Reumatología (GIR), Unidad de Proteómica, INIBIC - Complejo Hospitalario Universitario de A Coruña, SERGAS , Universidad de A Coruña , A Coruña 15006 , Spain.

Department of Medicine, Division of Cardiology, Consortium for Fibrosis Research and Translation, Anschutz Medical Campus , University of Colorado Denver , Aurora , Colorado 80045 , United States.

出版信息

J Proteome Res. 2019 Dec 6;18(12):4231-4239. doi: 10.1021/acs.jproteome.9b00360. Epub 2019 Oct 23.

DOI:10.1021/acs.jproteome.9b00360
PMID:31599600
Abstract

A steady increase in the incidence of osteoarthritis and other rheumatic diseases has been observed in recent decades, including autoimmune conditions such as rheumatoid arthritis, spondyloarthropathies, systemic lupus erythematosus, systemic sclerosis, and Sjögren's syndrome. Rheumatic and autoimmune diseases (RADs) are characterized by the inflammation of joints, muscles, or other connective tissues. In addition to often experiencing debilitating mobility and pain, RAD patients are also at a higher risk of suffering comorbidities such as cardiovascular or infectious events. Given the socioeconomic impact of RADs, broad research efforts have been dedicated to these diseases worldwide. In the present work, we applied literature mining platforms to identify "popular" proteins closely related to RADs. The platform is based on publicly available literature. The results not only will enable the systematic prioritization of candidates to perform targeted proteomics studies but also may lead to a greater insight into the key pathogenic processes of these disorders.

摘要

近几十年来,人们观察到骨关节炎和其他风湿性疾病(包括类风湿性关节炎、脊柱关节炎、系统性红斑狼疮、系统性硬皮病和干燥综合征等自身免疫性疾病)的发病率稳步上升。风湿和自身免疫性疾病(RADs)的特征是关节、肌肉或其他结缔组织的炎症。除了经常经历使人衰弱的活动能力和疼痛外,RAD 患者还面临更高的患合并症(如心血管或感染性事件)的风险。鉴于 RADs 的社会经济影响,全球范围内都在进行广泛的研究工作来攻克这些疾病。在目前的工作中,我们应用文献挖掘平台来识别与 RADs 密切相关的“热门”蛋白质。该平台基于公开的文献。这些结果不仅将能够系统地优先考虑候选者进行靶向蛋白质组学研究,而且还可能深入了解这些疾病的关键致病过程。

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