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pmid:39367463
Identification of immune-related hub genes in spinal cord injury.
Xiaofeng Gao · Yanting Su · ShiGang Shan · Wenbin Qian · Zhenwang Zhang
European journal of medical research · 2024 doi:10.1186/s40001-024-02075-0
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Experiment
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Complete file
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This study aims to explore potential immune center genes associated with spinal cord injury.\nMETHODS: The public data set GSE151371 was obtained from the GEO database. The R software package \"limma\" was used to identify differentially expressed genes (DEGs) in SCI. GO, KEGG and GSEA pathway analyses were performed using the DEGs. The key module genes related to spinal cord injury were selected through WGCNA analysis. Overlapping genes were extracted from WGCNA, DEGs, and immune-related genes. LASSO analysis was employed to identify central genes associated with SCI immunity. Pearson correlation analysis assessed the correlation between hub genes and immune cells in SCI. In addition, we further investigated the hub genes' expression, diagnostic potential, function, and targeted drugs.\nRESULTS: We have identified three immunity-related hub genes (ABHD5, EDNRB, EDN3). Immune infiltration analysis showed that the hub gene was significantly associated with resting NK cells, M2 macrophages, and monocytes in the immune microenvironment of SCI. ROC analysis demonstrated that these hub genes have favorable diagnostic performance for SCI. Functional analysis revealed that ABHD5 is primarily associated with lipid metabolism pathways, while EDN3 and EDNRB are mainly involved in endothelin, downstream GPCR signaling, and ERK signaling transduction. In addition, we identified six potential targeted drugs based on our findings.\nCONCLUSIONS: ABHD5, EDNRB, and EDN3 are involved in processes such as SCI progression or repair through immunomodulation and deserve further study.", "claims": [{"id": "claim-method", "statement": "In this study, we conducted regression analysis using the lasso-cox method, integrating patients' survival time, survival status, and gene expression data with the assistance of the R package \"glmnet\".", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39367463", "locator": "sections[8] \"Identification of SCI immune-related hub genes\" paragraph 2", "quote": "In this study, we conducted regression analysis using the lasso-cox method, integrating patients' survival time, survival status, and gene expression data with the assistance of the R package \"glmnet\"."}], "state": "complete"}, {"id": "claim-data-access", "statement": "No datasets were generated or analysed during the current study.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:39367463", "locator": "sections[26] \"Availability of data and materials\" paragraph 2", "quote": "No datasets were generated or analysed during the current study."}], "state": "complete"}, {"id": "claim-target-result", "statement": "We have identified three immunity-related hub genes (ABHD5, EDNRB, EDN3).", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:39367463", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "We have identified three immunity-related hub genes (ABHD5, EDNRB, EDN3)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "We have identified three immunity-related hub genes (ABHD5, EDNRB, EDN3).", "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:39367463"], "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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