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pmid:36056316
Comprehensive analysis of key genes and pathways for biological and clinical implications in thyroid-associated ophthalmopathy.
Yueyue Wang · Yanfei Shao · Haitao Zhang · Jun Wang · Peng Zhang · Weizhong Zhang · Huanhuan Chen
BMC genomics · 2022 doi:10.1186/s12864-022-08854-5
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Experiment
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Analysis
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Complete file
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Therefore, the current work was performed to identify the key genes and pathways for the biological and clinical implications of TAO through comprehensive bioinformatics analysis and a series of clinical validations.\nMETHODS: GSE105149 and GSE185952 were obtained from the Gene Expression Omnibus (GEO) database for analysis. The data were normalized to identify the common differentially expressed genes (DEGs) between the two datasets, and the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted to assess key pathways in TAO. Protein-protein interaction (PPI) networks and hub genes among the common DEGs were identified. Furthermore, we collected the general information and blood samples from 50 TAO patients and 20 healthy controls (HCs), and the expression levels of the proteins encoded by hub genes in serum were detected by enzyme-linked immunosorbent assay (ELISA). Then we further assessed the relationship between the ELISA data and the TAO development.\nRESULTS: Several common pathways, including neuroactive ligand-receptor interaction, the IL-17 signaling pathway, and the TNF signaling pathway, were identified in both datasets. In parallel, 52 common DEGs were identified. The KEGG analysis showed that these common DEGs are mainly enriched in long-term depression, the VEGF signaling pathway, the IL-17 signaling pathway, the TNF signaling pathway, and cytokine-cytokine receptor interactions. The key hub genes PRKCG, OSM, DPP4, LRRTM1, CXCL6, and CSF3R were screened out through the PPI network. As confirmation, the ELISA results indicated that protein expression levels of PRKCG, OSM, CSF3R, and DPP4 were significantly upregulated in TAO patients compared with HCs. In addition, PRKCG and DPP4 were verified to show value in diagnosing TAO, and CSF3R was found to be a valuable diagnostic marker in distinguishing active TAO from inactive TAO.\nCONCLUSIONS: Inflammation- and neuromodulation-related pathways might be closely associated with TAO. Based on the clinical verification, OSM, CSF3R, CXCL6, DPP4, and PRKCG may serve as inflammation- or neuromodulation-related biomarkers for TAO, providing novel insights for the diagnosis and treatment of TAO.", "claims": [{"id": "claim-method", "statement": "Differentially expressed genes (DEGs) between the two datasets TAO and control samples were screened using the limma (linear models for microarray data) package of R software (version 4.1.0, AT&T Bell Laboratories, USA) [14].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36056316", "locator": "sections[4] \"Identification of differentially expressed genes\" paragraph 2", "quote": "Differentially expressed genes (DEGs) between the two datasets TAO and control samples were screened using the limma (linear models for microarray data) package of R software (version 4.1.0, AT&T Bell Laboratories, USA) [14]."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets generated and/or analyzed during the current study are available in the Gene Expression Omnibus database (http://www.ncbi.nlm.nih.gov/geo).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36056316", "locator": "sections[26] \"notes\" paragraph 1", "quote": "The datasets generated and/or analyzed during the current study are available in the Gene Expression Omnibus database (http://www.ncbi.nlm.nih.gov/geo)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "In parallel, 52 common DEGs were identified.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36056316", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "In parallel, 52 common DEGs were identified."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "In parallel, 52 common DEGs were identified.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:36056316"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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