Network Pharmacology Reveals That Resveratrol Can Alleviate COVID-19-Related Hyperinflammation.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34580601", "kind": "science-record", "revision": 7, "content_hash": "sha256:a08740be93a34564bb67bf556aa396ac8774bc35f1bf7775616fe548992f1457", "created_at": "2026-11-01T15:41:54Z", "updated_at": "2026-11-01T22:04:50Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Network Pharmacology Reveals That Resveratrol Can Alleviate COVID-19-Related Hyperinflammation.", "doi": "10.1155/2021/4129993", "pmid": "34580601", "authors": ["Zijian Xiao", "Qing Ye", "Xiaomei Duan", "Tao Xiang"], "journal": "Disease markers", "year": 2021, "abstract": "Hyperinflammation is related to the development of COVID-19. Resveratrol is considered an anti-inflammatory and antiviral agent. Herein, we used a network pharmacological approach and bioinformatic gene analysis to explore the pharmacological mechanism of Resveratrol in COVID-19 therapy. Potential targets of Resveratrol were obtained from public databases. SARS-CoV-2 differentially expressed genes (DEGs) were screened out via bioinformatic analysis Gene Expression Omnibus (GEO) datasets GSE147507, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis; then, protein-protein interaction network was constructed. The common targets, GO terms, and KEGG pathways of Resveratrol targets and SARS-CoV-2 DEGs were confirmed. KEGG Mapper queried the location of common targets in the key pathways. A notable overlap of the GO terms and KEGG pathways between Resveratrol targets and SARS-CoV-2 DEGs was revealed. The shared targets between Resveratrol targets and SARS-CoV-2 mainly involved the IL-17 signaling pathway, NF-kappa B signaling pathway, and TNF signaling pathway. Our study uncovered that Resveratrol is a promising therapeutic candidate for COVID-19 and we also revealed the probable key targets and pathways involved. Ultimately, we bring forward new insights and encourage more studies on Resveratol to benefit COVID-19 patients.", "claims": [{"id": "claim-method", "statement": "Adjusted original p values were obtained via the Benjamini-Hochberg method; the false discovery rate (FDR) procedure was used to calculate fold changes (FC).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34580601", "locator": "sections[4] \"2.2. SARS-CoV-2-Related Genes\" paragraph 2", "quote": "Adjusted original p values were obtained via the Benjamini-Hochberg method; the false discovery rate (FDR) procedure was used to calculate fold changes (FC)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The data used in this study were obtained from open public databases, and data acquisition is explained in the manuscript. SARS-CoV-2 differentially expressed genes (DEGs) were taken from Gene Expression Omnibus (GEO) datasets GSE147507. The molecular structure of Resveratrol was downloaded from the PubChem database (https://pubchem.ncbi.nlm.nih.gov/). TargetNet (http://targetnet.scbdd.com/) was used to predict potential targets for Resveratrol. The molecular structures of the targets were obtained from the Protein Data Bank (http://www.rcsb.org/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34580601", "locator": "sections[18] \"Data Availability\" paragraph 2", "quote": "The data used in this study were obtained from open public databases, and data acquisition is explained in the manuscript. SARS-CoV-2 differentially expressed genes (DEGs) were taken from Gene Expression Omnibus (GEO) datasets GSE147507. The molecular structure of Resveratrol was downloaded from the PubChem database (https://pubchem.ncbi.nlm.nih.gov/). TargetNet (http://targetnet.scbdd.com/) was used to predict potential targets for Resveratrol. 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SARS-CoV-2 differentially expressed genes (DEGs) were taken from Gene Expression Omnibus (GEO) datasets GSE147507. The molecular structure of Resveratrol was downloaded from the PubChem database (https://pubchem.ncbi.nlm.nih.gov/). TargetNet (http://targetnet.scbdd.com/) was used to predict potential targets for Resveratrol. The molecular structures of the targets were obtained from the Protein Data Bank (http://www.rcsb.org/).", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "The data used in this study were obtained from open public databases, and data acquisition is explained in the manuscript. SARS-CoV-2 differentially expressed genes (DEGs) were taken from Gene Expression Omnibus (GEO) datasets GSE147507. The molecular structure of Resveratrol was downloaded from the PubChem database (https://pubchem.ncbi.nlm.nih.gov/). TargetNet (http://targetnet.scbdd.com/) was used to predict potential targets for Resveratrol. 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