DSpace Repository

Network pharmacology combined with molecular docking and dynamics to assess the synergism of esculetin and phloretin against acute kidney injury-diabetes comorbidity

Show simple item record

dc.contributor.author Jadhav, Hemant R.
dc.contributor.author Gaikwad, Anil Bhanudas
dc.date.accessioned 2025-03-04T04:16:05Z
dc.date.available 2025-03-04T04:16:05Z
dc.date.issued 2024-04
dc.identifier.uri https://link.springer.com/article/10.1007/s11030-024-10829-5
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/18129
dc.description.abstract Acute kidney injury (AKI) is a global health concern with high incidence and mortality, where diabetes further worsens the condition. The available treatment options are not uniformly effective against the complex pathogenesis of AKI–diabetes comorbidity. Hence, combination therapies based on the multicomponent, multitarget approach can tackle more than one pathomechanism and can aid in AKI–diabetes comorbidity management. This study aimed to investigate the therapeutic potential of esculetin and phloretin combination against AKI–diabetes comorbidity by network pharmacology followed by validation by molecular docking and dynamics. The curative targets for diabetes, AKI, esculetin, and phloretin were obtained from DisGeNET, GeneCards, SwissTargetPrediction database. Further, the protein–protein interaction of the potential targets of esculetin and phloretin against AKI–diabetes comorbidity was investigated using the STRING database. Gene ontology and pathway enrichment analysis were performed with the help of the DAVID and KEGG databases, followed by network construction and analysis via Cytoscape. Molecular docking and dynamic simulations were performed to validate the targets of esculetin and phloretin against AKI–diabetes comorbidity. We obtained 6341 targets for AKI–diabetes comorbidity. Further, a total of 54 and 44 targets of esculetin and phloretin against AKI–diabetes comorbidity were retrieved. The top 10 targets for esculetin selected based on the degree value were AKR1B1, DAO, ESR1, PLK1, CA3, CA2, CCNE1, PRKN, HDAC2, and MAOA. Similarly, phloretin’s 10 key targets were ACHE, CDK1, MAPK14, APP, CDK5R1, CCNE1, MAOA, MAOB, HDAC6, and PRKN. These targets were enriched in 58 pathways involved in the pathophysiology of AKI–diabetes comorbidity. Further, esculetin and phloretin showed an excellent binding affinity for these critical targets. The findings of this study suggest that esculetin and phloretin combination as a multicomponent multitarget therapy has the potential to prevent AKI–diabetes comorbidity. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.subject Pharmacy en_US
dc.subject Acute kidney injury (AKI) en_US
dc.subject Pharmacology en_US
dc.subject Diabetes en_US
dc.subject Comorbidity en_US
dc.title Network pharmacology combined with molecular docking and dynamics to assess the synergism of esculetin and phloretin against acute kidney injury-diabetes comorbidity en_US
dc.type Article en_US


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account