This study aimed to discover novel dipeptidyl peptidase-IV (DPP-IV) inhibitory peptides from defatted walnut meal and elucidate their molecular mechanisms. Enzymatic hydrolysis coupled with ultrafiltration yielded fractions of different molecular weights, of which the <1 kDa fraction demonstrated the strongest DPP-IV inhibitory activity. Based on LC-MS/MS analysis and multi-stage bioinformatics screening, 18 high-potential candidate peptides were obtained. Molecular docking and dynamics simulations revealed that core peptides (LPQY, FPAG, WDPNN, LPQNFA, LPSYQPTP) could stably bind to the DPP-IV active site via hydrogen bonds and hydrophobic interactions, with FPAG and LPSYQPTP exhibiting the most favorable binding. Inhibition kinetics identified FPAG (IC₅₀ = 105.6 μM) and LPSYQPTP (IC₅₀ = 132.4 μM) as mixed-type inhibitors with dominant competitive characteristics, functioning through active site competition and enzyme conformation alteration. Importantly, both peptides retained significant DPP-IV inhibitory activity after simulated gastrointestinal digestion. In STC-1 enteroendocrine cells, they effectively inhibited cellular DPP-IV and enhanced active GLP-1 secretion. Structure-activity relationship analysis highlighted the crucial role of X hy P-type peptides containing hydrophobic amino acids. Network pharmacology further predicted that these peptides might exert hypoglycemic effects through multi-target and multi-pathway synergistic mechanisms. This study provides a new strategy for the high-value utilization of walnut meal and offers a theoretical foundation for developing food-derived DPP-IV inhibitory peptides. • Integrated in silico and experimental screening identified novel DPP-IV inhibitory peptides from defatted walnut meal. • FPAG and LPSYQPTP were identified as mixed-type DPP-IV inhibitors, exhibiting notable gastrointestinal stability along with potent cellular activity, effectively inhibiting DPP-IV and enhancing GLP-1 secretion in STC-1 cells. • Network pharmacology revealed their multi-target potential for synergistic regulation of glucose metabolism.
Building similarity graph...
Analyzing shared references across papers
Loading...
Chao Yan
Huiwen Guan
Xuteng Wang
Food Research International
Chinese Academy of Sciences
Technical Institute of Physics and Chemistry
Beijing Technology and Business University
Building similarity graph...
Analyzing shared references across papers
Loading...
Yan et al. (Mon,) studied this question.
www.synapsesocial.com/papers/69a765c1badf0bb9e87da4ea — DOI: https://doi.org/10.1016/j.foodres.2026.118538