Integrative analysis identifies shared therapeutic pathways in thyroid eye disease and diabetes mellitus

Abstract Thyroid eye disease (TED) and diabetes mellitus (DM) cause vision loss, with DM aggravating TED. In this study, we aimed to explore the mechanisms of this interaction, and therefore, analyzed gene expression data from representative TED and DM datasets using bioinformatic tools. Following n...

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Main Authors: Yifei Wang, Hui Li
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-08558-2
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author Yifei Wang
Hui Li
author_facet Yifei Wang
Hui Li
author_sort Yifei Wang
collection DOAJ
description Abstract Thyroid eye disease (TED) and diabetes mellitus (DM) cause vision loss, with DM aggravating TED. In this study, we aimed to explore the mechanisms of this interaction, and therefore, analyzed gene expression data from representative TED and DM datasets using bioinformatic tools. Following normalization and differential expression analysis, common differentially expressed genes (CDEGs) between the datasets were identified and subjected to Gene Set Enrichment Analysis (GSEA), as well as Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses. Interaction networks were constructed and the diagnostic potential of the CDEGs was assessed using receiver operating characteristic (ROC) curve analysis. The TED_Dataset and DM_Dataset contained 449 and 108 DEGs, respectively, with seven CDEGs. GO and KEGG analyses linked the CDEGs to biological processes including leukocyte adhesion and apoptosis. GSEA emphasized their roles in inflammation and fibrosis. Protein-protein interaction network analysis identified MFAP4 as a key hub gene. Constructed mRNA-transcription factor, mRNA-RNA binding protein, mRNA-microRNA, and mRNA-drug interaction networks revealed extensive regulatory relationships. ROC curve analysis demonstrated that CXCL12 and SFRP4 were potential diagnostic biomarkers for TED, and SFRP4, IL6, MFAP4, and CRISPLD2 were potential diagnostic biomarkers for DM. Altogether, our findings provide comprehensive molecular insights into DM and TED, identifying novel targets for therapeutic intervention and diagnostic biomarkers.
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spelling doaj-art-1e3b6dbcf28a4f9fb527ba62a4cb31a52025-08-20T03:04:34ZengNature PortfolioScientific Reports2045-23222025-07-0115111910.1038/s41598-025-08558-2Integrative analysis identifies shared therapeutic pathways in thyroid eye disease and diabetes mellitusYifei Wang0Hui Li1Beijing First Hospital of Integrated Chinese and Western Medicine,Beijing First Hospital of Integrated Chinese and Western MedicineAbstract Thyroid eye disease (TED) and diabetes mellitus (DM) cause vision loss, with DM aggravating TED. In this study, we aimed to explore the mechanisms of this interaction, and therefore, analyzed gene expression data from representative TED and DM datasets using bioinformatic tools. Following normalization and differential expression analysis, common differentially expressed genes (CDEGs) between the datasets were identified and subjected to Gene Set Enrichment Analysis (GSEA), as well as Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses. Interaction networks were constructed and the diagnostic potential of the CDEGs was assessed using receiver operating characteristic (ROC) curve analysis. The TED_Dataset and DM_Dataset contained 449 and 108 DEGs, respectively, with seven CDEGs. GO and KEGG analyses linked the CDEGs to biological processes including leukocyte adhesion and apoptosis. GSEA emphasized their roles in inflammation and fibrosis. Protein-protein interaction network analysis identified MFAP4 as a key hub gene. Constructed mRNA-transcription factor, mRNA-RNA binding protein, mRNA-microRNA, and mRNA-drug interaction networks revealed extensive regulatory relationships. ROC curve analysis demonstrated that CXCL12 and SFRP4 were potential diagnostic biomarkers for TED, and SFRP4, IL6, MFAP4, and CRISPLD2 were potential diagnostic biomarkers for DM. Altogether, our findings provide comprehensive molecular insights into DM and TED, identifying novel targets for therapeutic intervention and diagnostic biomarkers.https://doi.org/10.1038/s41598-025-08558-2Diabetes mellitusThyroid eye diseaseDifferential expression analysisGene ontologyBiomarkers
spellingShingle Yifei Wang
Hui Li
Integrative analysis identifies shared therapeutic pathways in thyroid eye disease and diabetes mellitus
Scientific Reports
Diabetes mellitus
Thyroid eye disease
Differential expression analysis
Gene ontology
Biomarkers
title Integrative analysis identifies shared therapeutic pathways in thyroid eye disease and diabetes mellitus
title_full Integrative analysis identifies shared therapeutic pathways in thyroid eye disease and diabetes mellitus
title_fullStr Integrative analysis identifies shared therapeutic pathways in thyroid eye disease and diabetes mellitus
title_full_unstemmed Integrative analysis identifies shared therapeutic pathways in thyroid eye disease and diabetes mellitus
title_short Integrative analysis identifies shared therapeutic pathways in thyroid eye disease and diabetes mellitus
title_sort integrative analysis identifies shared therapeutic pathways in thyroid eye disease and diabetes mellitus
topic Diabetes mellitus
Thyroid eye disease
Differential expression analysis
Gene ontology
Biomarkers
url https://doi.org/10.1038/s41598-025-08558-2
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AT huili integrativeanalysisidentifiessharedtherapeuticpathwaysinthyroideyediseaseanddiabetesmellitus