Unveiling anti-diabetic potential of new thiazole-sulfonamide derivatives: Design, synthesis, in vitro bio-evaluation targeting DPP-4, α-glucosidase, and α-amylase with in-silico ADMET and docking simulation

Diabetes mellitus type 2 (T2DM) can be managed by targeting dipeptidyl peptidase-4 (DPP-4), an Enzyme that breaks down and deactivates Peptides such as GIP and GLP-1. In this context, a new series of 2-(2-substituted hydrazineyl)thiazole derivatives 4, 5, 6, 8, 10, and 11 conjugated with the 2-hydroxy-5-(pyrrolidin-1-ylsulfonyl)benzylidene fragment were designed and synthesized. The virtual screening of the designed derivatives inside DPP-4 demonstrated good to moderate activity, with binding affinity ranging from -6.86 to -5.36 kcal/mol compared to Sitagliptin (S=-5.58 kcal/mol). These results encourage us to evaluate DPP-4 using in-vitro fluorescence-based assay. The in-vitro results exhibited inhibitory percentage (IP) values ranging from 40.66 to 75.62 % in comparison to Sitagliptin (IP=63.14 %) at 100 µM. Subsequently, the IC₅₀ values were determined, and the 5-aryl thiazole derivatives 10 and 11 revealed strong potent IC₅₀ values 2.75 ± 0.27 and 2.51 ± 0.27 µM, respectively, compared to Sitagliptin (3.32 ± 0.22 µM). The SAR study exhibited the importance of the substituents on the thiazole scaffold, especially with the hydrophobic fragment at C5 of the thiazole, which has a role in the activity. Compounds 10 and 11 were further assessed toward α-glucosidase and α-amylase Enzymes and give promising results. Compound 10 showed good activity against α-glucosidase with IC₅₀ value of 3.02 ± 0.23 µM compared to Acarbose 3.05 ± 0.22 µM and (11 = 3.34 ± 0.10 µM). On the other hand, for α-amylase, compound 11 was found to be most effective with IC₅₀ value of 2.91 ± 0.23 µM compared to compound 10 = 3.30 ± 0.16 µM and Acarbose (2.99 ± 0.21 µM) indicating that these derivatives could reduce glucose by more than one target. The most active derivatives 10 and 11 attracted great interest as candidates for oral bioavailability and safe toxicity profiles compared to positive controls. The in-silico docking simulation was performed to understand the binding interactions inside the DPP-4, α-glucosidase, and α-amylase pockets, and it was found to be promising antidiabetic agents through a number of interactions.

Computational studies including ADMET; DPP-4 inhibitors; Diabetes mellitus (DM); Hypoglycemia and SAR study; thiosemicarbazone and thiazole.