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CORRECTION article

Front. Immunol., 29 January 2026

Sec. Autoimmune and Autoinflammatory Disorders : Autoimmune Disorders

Volume 17 - 2026 | https://doi.org/10.3389/fimmu.2026.1793746

Correction: Integrative multi-omics analyses identify PKD1 and SLC2A4 as genetically supported glycolysis-related candidate genes for rheumatoid arthritis

This article is a correction to:

  1. Integrative multi-omics analyses identify PKD1 and SLC2A4 as genetically supported glycolysis-related candidate genes for rheumatoid arthritis

    1. Read original article
Xinyu A,&#x;Xinyu A1,2†Pengfei Xin&#x;Pengfei Xin3†Lin Zheng&#x;Lin Zheng4†Bo XuBo Xu4Jianye Wang,Jianye Wang1,2Songtao SunSongtao Sun4Jun XieJun Xie4Chenxin GaoChenxin Gao4Peijun PanPeijun Pan4Guowei QiuGuowei Qiu4Lang JinLang Jin4Jun ShenJun Shen4Xirui XuXirui Xu4Yiwei Cheng,Yiwei Cheng1,2Shaoqiang Pei,Shaoqiang Pei1,2Lei Ran,*Lei Ran2,4*Yanqin Bian,*Yanqin Bian2,4*Lianbo Xiao,*Lianbo Xiao2,4*
  • 1Shanghai University of Traditional Chinese Medicine, Shanghai, China
  • 2The Research Institute for Joint Diseases, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
  • 3Jiangxi University of Traditional Chinese Medicine Affiliated Hospital, Nanchang, China
  • 4Shanghai Guanghua Hospital of Integrative Medicine, Shanghai, China

A Correction on
Integrative multi-omics analyses identify PKD1 and SLC2A4 as genetically supported glycolysis-related candidate genes for rheumatoid arthritis

By A X, Xin P, Zheng L, Xu B, Wang J, Sun S, Xie J, Gao C, Pan P, Qiu G, Jin L, Shen J, Xu X, Cheng Y, Pei S, Ran L, Bian Y and Xiao L (2026). Front. Immunol. 16:1691663. doi: 10.3389/fimmu.2025.1691663

An incorrect number was provided for the National Natural Science Foundation of China. The correct number is “(82474302)”.

The funder the Changning National Master of Traditional Chinese Medicine Studio was erroneously omitted. The Funding statement has been corrected to read:

“The author(s) declared that financial support was received for this work and/or its publication. This work was funded by the National Natural Science Foundation of China (82474302), Changning District Science and Technology Commission (CNKW2024Y19), the Training Program for High-caliber Talents of Clinical Research at Affiliated Hospital of SHUTCM (2023LCRC24), Shanghai Municipal Health Commission (20244Y0010), Scientific Research Project of Changning District Science and Technology Commission (CNKW2022Y22) and Shanghai Science and Technology Commission Support Project (23Y11921900), and was also supported by the Changning National Master of Traditional Chinese Medicine Studio”.

The original version of this article has been updated.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: DNA methylation, gene expression, glycolysis, Mendelian randomization, multi-omics, PKD1, rheumatoid arthritis, SLC2A4

Citation: A X, Xin P, Zheng L, Xu B, Wang J, Sun S, Xie J, Gao C, Pan P, Qiu G, Jin L, Shen J, Xu X, Cheng Y, Pei S, Ran L, Bian Y and Xiao L (2026) Correction: Integrative multi-omics analyses identify PKD1 and SLC2A4 as genetically supported glycolysis-related candidate genes for rheumatoid arthritis. Front. Immunol. 17:1793746. doi: 10.3389/fimmu.2026.1793746

Received: 22 January 2026; Accepted: 23 January 2026;
Published: 29 January 2026.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2026 A, Xin, Zheng, Xu, Wang, Sun, Xie, Gao, Pan, Qiu, Jin, Shen, Xu, Cheng, Pei, Ran, Bian and Xiao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Lei Ran, cmFuX2xlaUBmb3htYWlsLmNvbQ==; Yanqin Bian, eGlhb2JpYW41MDRAMTI2LmNvbQ==; Lianbo Xiao, eGlhb19saWFuYm9AMTYzLmNvbQ==

†These authors have contributed equally to this work and share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.