Effects of COL1A1 and SYTL2 on inflammatory cell infiltration and poor extracellular matrix remodeling of the vascular wall in thoracic aortic aneurysm.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37640670", "kind": "science-record", "revision": 5, "content_hash": "sha256:94577e29b9c47a2507fbe7f08466785395e597532c1cf78b3ab74153c0389b51", "created_at": "2026-11-01T19:02:25Z", "updated_at": "2026-11-01T22:52:36Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Effects of COL1A1 and SYTL2 on inflammatory cell infiltration and poor extracellular matrix remodeling of the vascular wall in thoracic aortic aneurysm.", "doi": "10.1097/CM9.0000000000002808", "pmid": "37640670", "authors": ["Xinsheng Xie", "Ye Yuan", "Yulong Huang", "Xiang Hong", "Shichai Hong", "Gang Chen", "Yihui Chen", "Yue Lin", "Weifeng Lu", "Weiguo Fu", "Lixin Wang"], "journal": "Chinese medical journal", "year": 2024, "abstract": "BACKGROUND: Thoracic aortic aneurysm (TAA) is a fatal cardiovascular disease, the pathogenesis of which has not yet been clarified. This study aimed to identify and validate the diagnostic markers of TAA to provide a strong theoretical basis for developing new methods to prevent and treat this disease.\nMETHODS: Gene expression profiles of the GSE9106, GSE26155, and GSE155468 datasets were acquired from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified using the \"limma\" package in R. Least absolute shrinkage and selection operator (LASSO), support vector machine-recursive feature elimination (SVM-RFE), random forest, and binary logistic regression analyses were used to screen the diagnostic marker genes. Single-sample gene set enrichment analysis (ssGSEA) was used to estimate immune cell infiltration in TAA.\nRESULTS: A total of 16 DEGs were identified. The enrichment and functional correlation analyses showed that DEGs were mainly associated with inflammatory response pathways and collagen-related diseases. Collagen type I alpha 1 chain ( COL1A1 ) and synaptotagmin like 2 ( SYTL2 ) were identified as diagnostic marker genes with a high diagnostic value for TAA. The expression of COL1A1 and SYTL2 was considerably higher in TAA vascular wall tissues than in the corresponding normal tissues, and there were significant differences in the infiltration of immune cells between TAA and normal vascular wall tissues. Additionally, COL1A1 and SYTL2 expression were associated with the infiltration of immune cells in the vascular wall tissue. Single-cell analysis showed that COL1A1 in TAA was mainly derived from fibroblasts and SYTL2 mainly from cluster of differentiation (CD)8 + T cells. In addition, single-cell analysis indicated that fibroblasts and CD8 + T cells in TAA were significantly higher than those in normal arterial wall tissue.\nCONCLUSIONS: COL1A1 and SYTL2 may serve as diagnostic marker genes for TAA. The upregulation of SYTL2 and COL1A1 may be involved in the inflammatory infiltration of the vessel wall and poor extracellular matrix remodeling, promoting the progression of TAA.", "claims": [{"id": "claim-method", "statement": "Differentially expressed genes (DEGs) were identified using the \"limma\" package in R.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37640670", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Differentially expressed genes (DEGs) were identified using the \"limma\" package in R."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The GSE9106 dataset contained peripheral blood cell data from 59 TAAs and 34 normal aortic samples.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37640670", "locator": "sections[4] \"Data processing and differentially expressed gene (DEG) screening\" paragraph 2", "quote": "The GSE9106 dataset contained peripheral blood cell data from 59 TAAs and 34 normal aortic samples."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Differentially expressed genes (DEGs) were identified using the \"limma\" package in R.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37640670", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Gene expression profiles of the GSE9106, GSE26155, and GSE155468 datasets were acquired from the Gene Expression Omnibus (GEO) database."}, {"asset": "source:pmid:37640670", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Differentially expressed genes (DEGs) were identified using the \"limma\" package in R."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Differentially expressed genes (DEGs) were identified using the \"limma\" package in R.", "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:37640670"], "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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