Screening of Potential Circulating Diagnostic Biomarkers and Molecular Mechanisms of Systemic Lupus Erythematosus-Related Myocardial Infarction by Integrative Analysis.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37520666", "kind": "science-record", "revision": 3, "content_hash": "sha256:2d06ce86b0ea05850811ce6c642aa5399dfd54dc888a2a670125b088ddaae2f6", "created_at": "2026-11-01T19:02:17Z", "updated_at": "2026-11-01T22:09:59Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Screening of Potential Circulating Diagnostic Biomarkers and Molecular Mechanisms of Systemic Lupus Erythematosus-Related Myocardial Infarction by Integrative Analysis.", "doi": "10.2147/JIR.S404066", "pmid": "37520666", "authors": ["Haoran Ding", "Guoqi Zhu", "Hao Lin", "Jiapeng Chu", "Deqiang Yuan", "Yi'an Yao", "Yanhua Gao", "Fei Chen", "Xuebo Liu"], "journal": "Journal of inflammation research", "year": 2023, "abstract": "Background: The risk of acute myocardial infarction (AMI) is elevated in patients with systemic lupus erythematosus (SLE), and it is of great clinical value to identify potential molecular mechanisms and diagnostic markers of AMI associated with SLE by analyzing public database data and transcriptome sequencing data.\nMethods: AMI and SLE-related sequencing datasets GSE62646, GSE60993, GSE50772 and GSE81622 were downloaded from the Gene Expression Omnibus (GEO) database and divided into prediction and validation cohorts. To identify the key genes associated with AMI related to SLE, WGCNA and DEGs analysis were performed for the prediction and validation cohorts, respectively. The related signaling pathways were identified by GO/KEGG enrichment analysis. Peripheral blood mononuclear cells (PBMCs) from patients with AMI were collected for transcriptome sequencing to validate the expression of key genes in patients with AMI. Least absolute shrinkage and selection operator (LASSO) regression analysis was applied to screen diagnostic biomarkers. The diagnostic efficacy of biomarkers was validated by ROC analysis, and the CIBERSORTx platform was used to analyze the composition of immune cells in AMI and SLE.\nResults: A total of 108 genes closely related to AMI and SLE were identified in the prediction cohort, and GO/KEGG analysis showed significantly enriched signaling pathways. The results of differential analysis in validation cohort were consistent with them. By transcriptional sequencing of PBMCs from peripheral blood of AMI patients, combined with the results of prediction and validation cohort analysis, seven genes were finally screened out. LASSO analysis finally identifies DYSF, LRG1 and CSF3R as diagnostic biomarkers of SLE-related-AMI. CIBERSORTx analysis revealed that the biomarkers were highly correlated with neutrophils.\nConclusion: Neutrophil degranulation and NETs formation play important roles in SLE-related AMI, and DYSF, LRG1 and CSF3R were identified as important diagnostic markers for the development and progression of SLE-related AMI.", "claims": [{"id": "claim-method", "statement": "LASSO regression analysis was used for further screening of the hub genes.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37520666", "locator": "sections[8] \"Identification of Hub Genes\" paragraph 2", "quote": "LASSO regression analysis was used for further screening of the hub genes."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Correspondence and requests for materials should be addressed to FC and XL.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37520666", "locator": "sections[26] \"Data Sharing Statement\" paragraph 2", "quote": "Correspondence and requests for materials should be addressed to FC and XL."}], "state": "complete"}, {"id": "claim-target-result", "statement": "LASSO regression analysis of hub genes identified by combining public-cohort analysis with PBMC transcriptome sequencing identified DYSF, LRG1 and CSF3R as diagnostic biomarkers of SLE-related AMI.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37520666", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "By transcriptional sequencing of PBMCs from peripheral blood of AMI patients, combined with the results of prediction and validation cohort analysis, seven genes were finally screened out."}, {"asset": "source:pmid:37520666", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "LASSO analysis finally identifies DYSF, LRG1 and CSF3R as diagnostic biomarkers of SLE-related-AMI."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "LASSO regression analysis of hub genes identified by combining public-cohort analysis with PBMC transcriptome sequencing identified DYSF, LRG1 and CSF3R as diagnostic biomarkers of SLE-related AMI.", "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:37520666"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE50772"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE50772"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:37520666", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.2147/JIR.S404066", "sha256": 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