{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["16(1)"],"submitter":["Chen JL"],"pubmed_abstract":["This study aimed to identify and validate key target genes of Astragalus membranaceus and Ephedra in pediatric obesity-associated asthma using integrated bioinformatics and network pharmacology approaches, with the goal of informing potential therapeutic strategies. Gene expression datasets related to pediatric obesity (GSE205668, GSE104815) and asthma (GSE147878, GSE143303) were analyzed. Candidate genes were obtained by overlapping differentially expressed genes with known targets of Astragalus membranaceus and Ephedra. Machine learning algorithms and expression analyses were applied to refine the list of key genes. Two nomogram prediction models were constructed based on these genes and assessed for diagnostic efficacy. Subsequent analyses included functional enrichment, immune cell inf"],"journal":["Scientific reports"],"pagination":["1817"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12804807"],"repository":["biostudies-literature"],"pubmed_title":["Network pharmacology identifies AKR1C3 and KYNU as potential targets of Astragalus Membranaceus and Ephedra in pediatric obesity-associated asthma."],"pmcid":["PMC12804807"],"pubmed_authors":["Gao MD","Liu XJ","Zhao HY","Zhao GH","Chen JL"],"additional_accession":[]},"is_claimable":false,"name":"Network pharmacology identifies AKR1C3 and KYNU as potential targets of Astragalus Membranaceus and Ephedra in pediatric obesity-associated asthma.","description":"This study aimed to identify and validate key target genes of Astragalus membranaceus and Ephedra in pediatric obesity-associated asthma using integrated bioinformatics and network pharmacology approaches, with the goal of informing potential therapeutic strategies. Gene expression datasets related to pediatric obesity (GSE205668, GSE104815) and asthma (GSE147878, GSE143303) were analyzed. Candidate genes were obtained by overlapping differentially expressed genes with known targets of Astragalus membranaceus and Ephedra. Machine learning algorithms and expression analyses were applied to refine the list of key genes. Two nomogram prediction models were constructed based on these genes and assessed for diagnostic efficacy. Subsequent analyses included functional enrichment, immune cell inf","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Dec","modification":"2026-07-15T06:54:16.612Z","creation":"2026-06-30T03:30:26.446Z"},"accession":"S-EPMC12804807","cross_references":{"pubmed":["41366037"],"doi":["10.1038/s41598-025-31533-w"]}}