Diagnostic gene signatures and aberrant pathway activation based on m6A methylation regulators in rheumatoid arthritis

文献类型： 外文期刊

第一作者： Geng, Qishun

作者： Geng, Qishun;Cao, Xiaoxue;Xiao, Cheng;Geng, Qishun;Cao, Xiaoxue;Zhang, Mengxiao;Deng, Tingting;Xiao, Cheng;Fan, Danping;Gu, Xiaofeng;Zhang, Qian;Wang, Zheng;Xiao, Cheng

作者机构：

关键词： rheumatoid arthritis; N6-methyladenosine; IGF2BP3; cell cycle; M1 macrophages

期刊名称：FRONTIERS IN IMMUNOLOGY （ 影响因子：8.786； 五年影响因子：8.876 ）

ISSN： 1664-3224

年卷期： 2022 年 13 卷

页码：

收录情况： SCI

摘要： PurposeRheumatoid arthritis (RA) is a chronic autoimmune disease (AD) characterized by persistent synovial inflammation, bone erosion and progressive joint destruction. This research aimed to elucidate the potential roles and molecular mechanisms of N6-methyladenosine (m6A) methylation regulators in RA. MethodsAn array of tissues from 233 RA and 126 control samples was profiled and integrated for mRNA expression analysis. Following quality control and normalization, the cohort was split into training and validation sets. Five distinct machine learning feature selection methods were applied to the training set and validated in validation sets. ResultsAmong the six models, the LASSO_lambda-1se model not only performed better in the validation sets but also exhibited more stringent performance. Two m6A methylation regulators were identified as significant biomarkers by consensus feature selection from all four methods. IGF2BP3 and YTHDC2, which are differentially expressed in patients with RA and controls, were used to predict RA diagnosis with high accuracy. In addition, IGF2BP3 showed higher importance, which can regulate the G2/M transition to promote RA-FLS proliferation and affect M1 macrophage polarization. ConclusionThis consensus of multiple machine learning approaches identified two m6A methylation regulators that could distinguish patients with RA from controls. These m6A methylation regulators and their target genes may provide insight into RA pathogenesis and reveal novel disease regulators and putative drug targets.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序