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.
痛风是一种由尿酸盐结晶沉积引起的自限性炎症疾病，伴有多种合并症。随着生活水平的提高，痛风在全球的发病率逐年上升，严重影响人民健康。组学技术是研究疾病的有效工具，已被广泛应用于发现痛风的潜在生物标志物和风险因子，其鉴定出的变异位点或差异表达产物为研究痛风的发病机制和疾病进展提供了不同维度的见解和认识。本文通过PubMed检索相关文献，分析和总结了多组学技术在痛风中的应用和研究结果，对近年来多组学技术在痛风领域的相关研究进展进行综述，以期了解痛风患者在不同分子层次上的特异性变化，为今后更深入地研究痛风提供思路和方向。.
Keywords: epigenomics; genomics; gout; proteomics; transcriptomics.