Development of novel thiazolidine-2,4-dione derivatives as PPAR-γ agonists through design, synthesis, computational docking, MD simulation, and comprehensive in vitro and in vivo evaluation.

The present study was conducted to develop new novel 2,4-thiazolidinedione derivatives (3h-3j) as peroxisome proliferator-activated receptor-γ (PPAR-γ) modulators for antidiabetic activity. The objective was to overcome the adverse effects of existing thiazolidinediones while maintaining their pharmacological benefits. The synthesized compounds were elucidated based on FT-IR, 1H-NMR, 13C-NMR, and MS techniques. Molecular docking was utilized to investigate the interaction binding modes, binding free energy, and amino acids engaged in the compounds' interactions with the target protein. Subsequently, molecular dynamics modelling was used to assess the stability of the top-docked complexes and an assay was utilized to assess the cytotoxicity of the compounds to C2C12 myoblasts. Compounds 3h-3j exhibited PPAR-γ modulatory activity and demonstrated significant hypoglycaemic effects when compared to the reference drug pioglitazone. The new compounds were evaluated for their in vivo blood glucose-lowering potential by using a dexamethasone-induced diabetic rat model. All the compounds showed a hypoglycaemic effect of 108.04 ± 4.39, 112.55 ± 6.10, and 117.48 ± 43.93, respectively, along with pioglitazone (153.93 ± 4.61) compared to the diabetic control. Additionally, all the compounds significantly reduced AST and ALT levels and did not cause liver damage.

Identification of signature genes and drug candidates for primary plasma cell leukemia: An integrated system biology approach.

BACKGROUND: Plasma cell leukemia (PCL) is one of the rare cancer which is characterized by the uncontrolled proliferation of plasma cells in peripheral blood and bone marrow. The aggressive behavior of the disease and high mortality rate among PCL patients makes it a thirst area to be explored. METHODS: The dataset for PCL was obtained from the GEO database and was analyzed using GEO2R for differentially expressed genes. Further, the functional enrichment analysis was carried out for DEGs using DAVID. The protein-protein interactions (PPI) for DEGs were obtained using STRING 11.5 and were analyzed in Cytoscape 3.7.2. to obtain the key hub genes. These key hub genes were investigated for their interaction with suitable drug candidates using DGIdb, DrugMAP, and Schrodinger's version 2022-1. RESULTS: Out of the total of 104 DEGs, 39 genes were up-regulated whereas 65 genes were down-regulated. A total of 11 biological processes, 2 cellular components, and 5 molecular functions were enriched along with the 7 KEGG pathways for the DEGs. Further, a total of 11 hub genes were obtained from the PPI of DEGs of which TP53, MAPK1, SOCS1, MBD3, and YES1 were the key hub genes. Oxaliplatin, mitoxantrone, and ponatinib were found to have the highest binding affinity towards the p53, MAPK1, and YES1 proteins respectively. CONCLUSION: TP53, MAPK1, SOCS1, MBD3, and YES1 are the signature hub genes that might be responsible for the aggressive prognosis of PCL leading to poor survival rate. However, p53, MAPK1, and YES1 can be targeted with oxaliplatin, mitoxantrone, and ponatinib.