Evidence map›Paper›PMID 39735537›Full record

ArticleFrontiers in immunology2024

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

Xuemei Li, Chao Xiong, Siyi Wang, Zhangjun Ren, Qi Jin, Jinhai Yu, Yunxiu Chen, Puying Gan, Qihua Xu, Yaohua Wang and 1 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Xuemei LiSchool of Optometry, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Chao XiongSchool of Optometry, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Siyi WangSchool of Optometry, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Zhangjun RenSchool of Optometry, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Qi JinDepartment of Ophthalmology, The Affiliated Eye Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Jinhai YuSchool of Optometry, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Yunxiu ChenSchool of Optometry, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Puying GanDepartment of Ophthalmology, The Affiliated Eye Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Qihua XuSchool of Optometry, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Yaohua WangSchool of Optometry, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Hongfei LiaoSchool of Optometry, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Thyroid-associated orbitopathy (TAO) is an autoimmune inflammatory disorder of the orbital adipose tissue, primarily causing oxidative stress injury and tissue remodeling in the orbital connective tissue. Ferroptosis is a form of programmed cell death driven by the accumulation of reactive oxygen species (ROS), iron metabolism disorder, and lipid peroxidation. This study aims to identify and validate the optimal feature genes (OFGs) of ferroptosis with diagnostic and therapeutic potential in TAO orbital adipose tissue through bioinformatics analysis and to assess their correlation with disease-related immune cell infiltration. Methods: Search of the Gene Expression Omnibus database for TAO-related gene datasets led to the selection of GSE58331 for differential gene expression analysis. WGCNA was employed to identify key disease modules and hub genes. The intersection of DEGs, hub genes and ferroptosis-related gene yielded key genes of ferroptosis. Machine learning algorithms identified OFGs of ferroptosis. Meanwhile, by comparing the expression of FRGs in the orbital adipose tissue and the orbital fibroblasts (OFs) of healthy controls and TAO patients, as well as co-culturing macrophages and OFs 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.

Indexed as

Computational BiologyFerroptosisGraves OphthalmopathyAdipose TissueBiomarkersDatabases, GeneticGene Expression ProfilingGene Regulatory NetworksHumansMacrophagesTranscriptomeBiomarkersferroptosis-related geneGEOimmune cell infiltrationorbitopathyWGCNA

Identifiers

PMID39735537
PMCPMC11671519

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.