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ORIGINAL RESEARCH article

Front. Immunol.
Sec. Autoimmune and Autoinflammatory Disorders : Autoimmune Disorders
Volume 15 - 2024 | doi: 10.3389/fimmu.2024.1422497
This article is part of the Research Topic Autoimmunity: novel insights and future perspectives View all 30 articles

Identification and verification of the optimal feature genes of ferroptosis in thyroid-associated orbitopathy

Provisionally accepted
Xuemei Li Xuemei Li Chao Xiong Chao Xiong Siyi Wang Siyi Wang *Zhangjun Ren Zhangjun Ren *Qi Jin Qi Jin *Jinhai Yu Jinhai Yu Yunxiu Chen Yunxiu Chen *Puying Gan Puying Gan *Qihua Xu Qihua Xu *Yaohua Wang Yaohua Wang *Hongfei Liao Hongfei Liao *
  • Affiliated Eye Hospital of Nanchang University, Nanchang, China

The final, formatted version of the article will be published soon.

    Background: Thyroid-associated orbitopathy (TAO) is an autoimmune inflammatory disorder affecting orbital adipose tissue, leading to oxidative stress and tissue remodeling. Ferroptosis, a form of programmed cell death, is driven by reactive oxygen species (ROS) accumulation, iron metabolism disorders, and lipid peroxidation. This study aims to identify and validate optimal feature genes (OFGs) of ferroptosis with diagnostic and therapeutic potential in TAO orbital adipose tissue using bioinformatics analysis and to assess their correlation with immune cell infiltration. Methods: The GSE58331 dataset was selected from the Gene Expression Omnibus for differential gene expression analysis. WGCNA identified key disease modules and hub genes, which were intersected with ferroptosis-related genes to find key ferroptosis genes. Machine learning algorithms identified OFGs. Additionally, comparisons of FRG expression in orbital adipose tissue and orbital fibroblasts (OFs) from healthy controls and TAO patients, along with macrophage-OF co-culture experiments, explored the influence of macrophages on FRGs in OFs. CIBERSORT was used to analyze immune cell proportions, and Spearman correlation examined the relationship between OFGs and immune cells. GSEA determined the function of each key biomarker based on OFG expression levels. Results: Three TAO FRGs (ACO1, MMD, and HCAR1) were screened in the dataset.The ROC results of ACO1 showed that the AUC value was greater than 0.8 in all the datasets, which was the strongest for disease specificity and diagnostic ability.Validation results showed that, in addition to MMD, the expression of ACO1 and HCAR1 in orbital adipose tissue of TAO patients was significantly down-regulated, while M2-type macrophages might be involved in regulating the expression of ACO1 in orbital adipose-derived OFs. CIBERSORT immune cell infiltration analysis showed that in orbital adipose tissue of TAO patients, memory B-lymphocytes, T regulatory cells, NK-cells, M0-type macrophages, M1-type macrophages, resting dendritic cells, activated mast cells, and neutrophils infiltration levels were significantly elevated. Conclusion: Through bioinformatics analysis, this study identified and validated two OFGs of ferroptosis with diagnostic and therapeutic potential in TAO orbital adipose tissue, suggesting that the downregulation of ACO1 and HCAR1 may be potential molecular targets in the pathogenesis of TAO.

    Keywords: Orbitopathy, ferroptosis-related gene, Immune Cell Infiltration, GEO, WGCNA

    Received: 24 Apr 2024; Accepted: 27 Nov 2024.

    Copyright: © 2024 Li, Xiong, Wang, Ren, Jin, Yu, Chen, Gan, Xu, Wang and Liao. 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) or licensor 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:
    Siyi Wang, Affiliated Eye Hospital of Nanchang University, Nanchang, China
    Zhangjun Ren, Affiliated Eye Hospital of Nanchang University, Nanchang, China
    Qi Jin, Affiliated Eye Hospital of Nanchang University, Nanchang, China
    Yunxiu Chen, Affiliated Eye Hospital of Nanchang University, Nanchang, China
    Puying Gan, Affiliated Eye Hospital of Nanchang University, Nanchang, China
    Qihua Xu, Affiliated Eye Hospital of Nanchang University, Nanchang, China
    Yaohua Wang, Affiliated Eye Hospital of Nanchang University, Nanchang, China
    Hongfei Liao, Affiliated Eye Hospital of Nanchang University, Nanchang, China

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