Bioinformatics Approach to Identify the Influences of COVID-19 on Ischemic Stroke.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37184686", "kind": "science-record", "revision": 4, "content_hash": "sha256:20219a7f9daf5c76a9d81c7976ce6db63a74a691de6535072df017ba7e9b4c11", "created_at": "2026-11-01T19:01:52Z", "updated_at": "2026-11-01T22:51:54Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Bioinformatics Approach to Identify the Influences of COVID-19 on Ischemic Stroke.", "doi": "10.1007/s10528-023-10366-0", "pmid": "37184686", "authors": ["Jiabao Zhu", "Xiangui Li", "Fanzhen Lv", "Weimin Zhou"], "journal": "Biochemical genetics", "year": 2023, "abstract": "As severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) is becoming more infectious and less virulent, symptoms beyond the lungs of the Coronavirus Disease 2019 (COVID-19) patients are a growing concern. Studies have found that the severity of COVID-19 patients is associated with an increased risk of ischemic stroke (IS); however, the underlying pathogenic mechanisms remain unknown. In this study, bioinformatics approaches were utilized to explore potential pathogenic mechanisms and predict potential drugs that may be useful in the treatment of COVID-19 and IS. The GSE152418 and GSE122709 datasets were downloaded from the GEO website to obtain the common differentially expressed genes (DEGs) of the two datasets for further functional enrichment, pathway analysis, and drug candidate prediction. A total of 80 common DEGs were identified in COVID-19 and IS datasets for GO and KEGG analysis. Next, the protein-protein interaction (PPI) network was constructed and hub genes were identified. Further, transcription factor-gene interactions and DEGs-miRNAs coregulatory network were investigated to explore their regulatory roles in disease. Finally, protein-drug interactions with common DEGs were analyzed to predict potential drugs. We successfully identified the top 10 hub genes that could serve as novel targeted therapies for COVID-19 and screened out some potential drugs for the treatment of COVID-19 and IS.", "claims": [{"id": "claim-method", "statement": "To investigate the relationship between IS and COVID-19, we obtained the corresponding human RNA-seq dataset and microarray dataset from the GEO database and then performed data analysis using the DESeq2 and limma packages of R software.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37184686", "locator": "sections[11] \"Identification of DEGs and Common DEGs Between IS and COVID-19\" paragraph 2", "quote": "To investigate the relationship between IS and COVID-19, we obtained the corresponding human RNA-seq dataset and microarray dataset from the GEO database and then performed data analysis using the DESeq2 and limma packages of R software."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets GSE152418 and GSE122709 for this study can be found in the Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37184686", "locator": "sections[23] \"Data Availability\" paragraph 2", "quote": "The datasets GSE152418 and GSE122709 for this study can be found in the Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo/)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The analysis identified 80 common differentially expressed genes between COVID-19 and ischemic stroke.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37184686", "locator": "sections[11] \"Identification of DEGs and Common DEGs Between IS and COVID-19\" paragraph 2", "quote": "80 common DEGs was identified via the Jvenn website in the two datasets for further analysis."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The analysis identified 80 common differentially expressed genes between COVID-19 and ischemic stroke.", "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:37184686"], "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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