{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Kong J"],"funding":["Special Project of Industrial Technology Research and Development in Jilin Province","Science and Technology Research planning Project of Education Department in Jilin Province"],"pagination":["14281"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9697017"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["23(22)"],"pubmed_abstract":["Aging affects the structure and function of the liver. Hydroxysafflor yellow A (HSYA) effectively improves liver aging (LA) in mice, but the potential mechanisms require further exploration. In this study, an integrated approach combining network pharmacology and transcriptomics was used to elucidate the potential mechanisms of HSYA delay of LA. The targets of HSYA were predicted using the PharmMapper, SwissTargetPrediction, and CTD databases, and the targets of LA were collected from the GeneCards database. An ontology (GO) analysis and a Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway annotation of genes related to HSYA delay of LA were performed using the DAVID database, and Cytoscape software was used to construct an HSYA target pathway network. The BMKCloud platform was used to"],"journal":["International journal of molecular sciences"],"pubmed_title":["Integrating Network Pharmacology and Transcriptomic Strategies to Explore the Pharmacological Mechanism of Hydroxysafflor Yellow A in Delaying Liver Aging."],"pmcid":["PMC9697017"],"funding_grant_id":["JJKH20210327KJ","2020C036-1"],"pubmed_authors":["Liu X","Li H","Min F","Zhang Y","Sun S","Hu X","Wang X","Kong J","Cheng Y"],"additional_accession":[]},"is_claimable":false,"name":"Integrating Network Pharmacology and Transcriptomic Strategies to Explore the Pharmacological Mechanism of Hydroxysafflor Yellow A in Delaying Liver Aging.","description":"Aging affects the structure and function of the liver. Hydroxysafflor yellow A (HSYA) effectively improves liver aging (LA) in mice, but the potential mechanisms require further exploration. In this study, an integrated approach combining network pharmacology and transcriptomics was used to elucidate the potential mechanisms of HSYA delay of LA. The targets of HSYA were predicted using the PharmMapper, SwissTargetPrediction, and CTD databases, and the targets of LA were collected from the GeneCards database. An ontology (GO) analysis and a Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway annotation of genes related to HSYA delay of LA were performed using the DAVID database, and Cytoscape software was used to construct an HSYA target pathway network. The BMKCloud platform was used to","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Nov","modification":"2026-05-08T03:07:00.692Z","creation":"2025-04-06T23:19:31.017Z"},"accession":"S-EPMC9697017","cross_references":{"pubmed":["36430769"],"doi":["10.3390/ijms232214281"]}}