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Walnut protein was hydrolyzed by different enzymes, and bromelain protein hydrolysate (W-Bromelain) showed the highest dipeptidyl peptidase-IV (DPP-IV) inhibitory activity. W-Bromelain was fractionated, and three novel tetrapeptides (LPQF, LPSF, and VPFP) were identified. In vitro evaluation showed that LPQF exhibited the highest DPP-IV inhibitory activity with an IC value of 99.34 μM. Evaluation of the absorption, distribution, metabolism, excretion, and toxic properties of LPQF showed high absorption and nontoxicity. Molecular docking showed that LPQF could interact with the active residues of DPP-IV through seven hydrogen bonds and five hydrophobic interactions. Molecular dynamics simulation further confirmed the stability of the LPQF-DPP-IV complex. LPQF showed high stability in in vitro gastrointestinal digestion. LPQF ameliorated the type 2 diabetes mellitus-like phenotype and reduced the degree of oxidative stress and intestinal barrier damage in a Drosophila melanogaster model of insulin resistance. Furthermore, the RNA-seq analysis showed that LPQF may exert hypoglycemic effects by regulating the Wnt, MAPK, and FoxO pathways.
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http://dx.doi.org/10.1016/j.foodres.2025.116487 | DOI Listing |
Food Res Int
November 2025
Department of Seafood Science, National Kaohsiung University of Science and Technology, Kaohsiung 811, Taiwan. Electronic address:
Dipeptidyl-peptidase (DPP)-IV inhibition by penultimate N-terminus Pro-containing peptides is a promising strategy for Type 2 diabetes (T2D) management, as it prevents the degradation of incretin hormones (DPP-IV substrates) like glucagon-like peptide-1 (GLP-1), thereby prolonging their half-life. However, the stability and bio-accessibility of these peptides are crucial to their efficacy in orally administered therapeutics. We previously identified LPCL and TPFLPDE peptides from tilapia viscera by-products hydrolysates, which exhibited significant DPP-IV inhibition in vitro and in situ while effectively preserving active GLP-1 levels after 2 h treatment in STC-1 cells under basal glucose conditions.
View Article and Find Full Text PDFJAMA Netw Open
September 2025
Division of Cardiology, Department of Internal Medicine, New Taipei Municipal TuCheng Hospital, New Taipei, Taiwan.
Importance: The cardiovascular benefits of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) may vary by body mass index (BMI), but evidence on BMI-specific outcomes remains limited.
Objective: To investigate the associations of GLP-1 RA use with cardiovascular and kidney outcomes across BMI categories in patients with type 2 diabetes.
Design, Setting, And Participants: This retrospective cohort study used the Chang Gung Research Database, a clinical dataset covering multiple hospitals in Taiwan.
J Integr Neurosci
August 2025
Central Laboratory, The First Affiliated Hospital of Henan Polytechnic University (Jiaozuo Second People's Hospital), 454001 Jiaozuo, Henan, China.
Background: Epilepsy, a significant neurological condition marked by the occurrence of repeated seizures, continues to pose a substantial health challenge. Previous studies have indicated that Dipeptidyl Peptidase-4 (DPP4) inhibitors may possess antiepileptic properties. Ferroptosis, a newly discovered type of programmed cell death, has recently surfaced as a promising therapeutic target in the management of epilepsy.
View Article and Find Full Text PDFWound Repair Regen
September 2025
Center for Tissue Engineering, Department of Plastic Surgery, University of California Irvine, Orange, California, USA.
Dipeptidyl-peptidase 4 inhibitors, DPP-4i, are an established antiglycaemic medication for Type 2 Diabetes. There has been a growing interest in DPP-4i's potential to improve wound healing and reduce fibrosis. The purpose of this study is to survey the current literature for applications of DPP-4i in wound healing and scars, and explore their potential outside of glycaemic control.
View Article and Find Full Text PDFAm J Epidemiol
September 2025
Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Tree-based scan statistics (TBSS) are data mining methods that screen thousands of hierarchically related health outcomes to detect unsuspected adverse drug effects. TBSS traditionally analyze claims data with outcomes defined via diagnosis codes. TBSS have not been previously applied to rich clinical information in Electronic Health Records (EHR).
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