Current medicinal chemistry · 2026
Development of Potential Pharmacological Targets to Normalize Gene Expression in Islets of Type 2 Diabetic Patients.
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Basaldua-Maciel Viridiana, Martinez-Esquivias Fernando, Guzman-Flores Juan Manuel
Аннотация
BACKGROUND: Type 2 diabetes (T2D) is a disease of high prevalence that is expected to continue increasing despite the pharmacological treatments available; in most cases, it is difficult to control. Therefore, more research on experimental drugs is necessary to propose better treatments.
OBJECTIVE: This study aimed to identify the molecular alterations of pancreatic islets in type 2 diabetes through multi-omics data integration and possible pharmacological targets using bioinformatics methods.
METHODS: In this study, the OmicsNet tool was used to integrate the multi-omics data associated with T2D, and the protein-protein interaction was visualized. Then, gene ontology and KEGG pathways analyses were carried out. Using the DrugRep server, the hub genes obtained underwent a virtual screening with experimental drugs, and twelve experimental drugs were selected to execute the molecular docking by CB-Dock2. Finally, the interactions were displayed in BIOVIA software.
RESULTS: Our results showed that the main molecular alterations of pancreatic islets in T2D were enzyme binding, mitochondrial metabolism, transcription factors, etc. They were involved in glucose uptake, receptor insulin signaling, and secretion. The molecular docking showed that SRC, AKT1, CREBBP, and HSP90AA1 were therapeutic targets for DB02729, DB04877, DB07970, DB07789, and DB03373.
CONCLUSION: We identified some alterations in the pancreas of patients with T2D, ten hub genes, and five experimental drugs that could potentially correct gene expression abnormalities. However, further studies are required to validate these results.
OBJECTIVE: This study aimed to identify the molecular alterations of pancreatic islets in type 2 diabetes through multi-omics data integration and possible pharmacological targets using bioinformatics methods.
METHODS: In this study, the OmicsNet tool was used to integrate the multi-omics data associated with T2D, and the protein-protein interaction was visualized. Then, gene ontology and KEGG pathways analyses were carried out. Using the DrugRep server, the hub genes obtained underwent a virtual screening with experimental drugs, and twelve experimental drugs were selected to execute the molecular docking by CB-Dock2. Finally, the interactions were displayed in BIOVIA software.
RESULTS: Our results showed that the main molecular alterations of pancreatic islets in T2D were enzyme binding, mitochondrial metabolism, transcription factors, etc. They were involved in glucose uptake, receptor insulin signaling, and secretion. The molecular docking showed that SRC, AKT1, CREBBP, and HSP90AA1 were therapeutic targets for DB02729, DB04877, DB07970, DB07789, and DB03373.
CONCLUSION: We identified some alterations in the pancreas of patients with T2D, ten hub genes, and five experimental drugs that could potentially correct gene expression abnormalities. However, further studies are required to validate these results.