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Technol Health Care ; 32(2): 1079-1089, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-37781829

RESUMO

BACKGROUND: Anemia associated with heart failure is frequent and can exacerbate the symptoms of heart failure. Dapagliflozin is the first SGLT-2 inhibitor with significant cardiovascular protection. However, the effect of dapagliflozin on anemia in elderly patients with heart failure is unknown. OBJECTIVE: We aimed to study the effect of dapagliflozin on anemia in elderly patients with heart failure by bioinformatics analysis. METHODS: The target genes were determined, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. The protein-protein interaction (PPI) network and modules were constructed. The dapagliflozin-targets network in anemia and heart failure was constructed. Molecular docking experiments between dapagliflozin and its key target AKT1 were performed. RESULTS: We found 1 dapagliflozin related target gene and 2 disease related genes. Totally, 134 target genes of dapagliflozin on anemia in elderly patients with heart failure were determined. The pathways may involve lipid and atherosclerosis, AGE-RAGE signaling pathway in diabetic complications, hepatitis B, insulin signaling pathway, fluid shear stress and atherosclerosis, neurotrophin signaling pathway, insulin resistance, toxoplasmosis, colorectal cancer, and EGFR tyrosine kinase inhibitor resistance. The hub genes in network were AKT1, TP53, GAPDH, TNF, CASP3, EGFR, and MAPK3. The structure of dapagliflozin and AKT1 molecular docking was exhibited. CONCLUSIONS: The hub genes in network were AKT1, TP53, GAPDH, TNF, CASP3, EGFR, and MAPK3. The structure of dapagliflozin and AKT1 molecular docking was exhibited.


Assuntos
Anemia , Aterosclerose , Compostos Benzidrílicos , Glucosídeos , Insuficiência Cardíaca , Idoso , Humanos , Caspase 3 , Simulação de Acoplamento Molecular , Insuficiência Cardíaca/complicações , Insuficiência Cardíaca/tratamento farmacológico , Anemia/tratamento farmacológico , Anemia/etiologia , Biologia Computacional , Receptores ErbB
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