CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing 100101, China.
University of Chinese Academy of Sciences, Beijing 100049, China.
Yi Chuan. 2023 Aug 20;45(8):643-657. doi: 10.16288/j.yczz.23-086.
Gout is a self-limiting inflammation disease triggered by deposition of monosodium urate with a variety of comorbidities. With the improvement of living standards, the global incidence of gout is increasing year by year, which seriously affects people's health. As an effective tool to study diseases, omics technology has been widely used to discover potential biomarkers and risk factors of gout. The identified variation sites or different-expressed products provide different dimensions of insights for the study of the pathogenesis and disease progression of gout. In this review, the application and research results of multi-omics technology in gout were analyzed and summarized through PubMed literature retrieval. Meanwhile, the recent research progress of multi-omics technology in the field of gout was reviewed to understand the specific changes of gout patients at different molecular levels, and to provide ideas and directions for further research on gout in the future.
痛风是一种由单钠尿酸盐沉积所致的自限性炎症性疾病,伴有多种合并症。随着生活水平的提高,痛风的全球发病率逐年上升,严重影响人们的健康。组学技术作为一种有效的疾病研究工具,已被广泛用于发现痛风的潜在生物标志物和危险因素。鉴定出的变异位点或差异表达产物为痛风的发病机制和疾病进展研究提供了不同维度的见解。本综述通过 PubMed 文献检索,分析和总结了多组学技术在痛风中的应用和研究成果。同时,综述了多组学技术在痛风领域的最新研究进展,以了解痛风患者在不同分子水平上的具体变化,为未来痛风的进一步研究提供思路和方向。