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Dipeptidyl peptidase-IV (DPP-IV) plays a critical role in glucose metabolism and has become an important target for type 2 diabetes mellitus. We previously reported a two-photon fluorescent probe glycyl-prolyl-N-butyl-4-amino-1,8-naphthalimide (GP-BAN) for DPP-IV detection with high specificity and sensitivity. In this study, a high-throughput screening (HTS) method for DPP-IV inhibitors using human plasma as the enzyme source was established and optimized. Further investigations demonstrate that the IC50 value of sitagliptin (listed as the DPP-IV inhibitor) determined with human recombinant DPP-IV (36.22 nM) is very similar to that in human plasma (39.18 nM), and sitagliptin acts as a competitive inhibitor against human plasma DPP-IV-mediated GP-BAN hydrolysis. These results indicate that expensive human recombinant DPP-IV can be replaced by human plasma in this GP-BAN-based assay. On this basis, GP-AMC (commercial probe) was used as a comparison to verify this method, and the catalytic efficacy (Vmax/Km) for GP-AMC (0.09 min-1) hydrolysis in human plasma is lower than that for GP-BAN (0.21 min-1). Further analysis of inhibition kinetics (sitagliptin) and molecular docking (GP-BAN and GP-AMC) showed that GP-BAN has better specificity and affinity for enzymes than GP-AMC. Finally, the optimized method was used for the HTS of DPP-IV inhibitors in 69 natural alkaloids.
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http://dx.doi.org/10.1039/d1ay00415h | DOI Listing |
Biotechniques
September 2025
Woman, Mother + Baby Research Institute, Tufts Medicine, Boston, MA, USA.
MicroRNAs (miRNAs) are considered more stable than mRNA, but the impact of progressive thawing of biological samples after freezing as may happen during shipping delays has not been quantified. To address this, we utilized digital PCR to estimate the absolute concentrations of select miRNAs following progressive thawing of human plasma and maintenance at ambient temperature. Specifically, we quantified let-7b-3p, miR-144-5p, miR-150-5p, miR-517a-3p, miR-524-5p, and miR-1283, which have varying abundance in plasma.
View Article and Find Full Text PDFJ Vet Intern Med
September 2025
Department of Small Animal Clinical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
Background: Serum copeptin (sCoP) is used as a surrogate for plasma arginine vasopressin (pAVP) measurement in humans.
Objective: To measure pAVP and sCoP at rest and after osmotic- and non-osmotic stimulation testing in dogs.
Animals: Eight young castrated/spayed healthy research Beagles, eight young intact dogs, and eight old neutered healthy client-owned dogs.
J Neurochem
September 2025
Division of Neurogeriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Elucidating the earliest biological mechanisms underlying Alzheimer's disease (AD) is critical for advancing early detection strategies. While amyloid-β (Aβ) and tau pathologies have been central to preclinical AD research, the roles of peripheral biological processes in disease initiation remain underexplored. We investigated patterns of F-MK6240 tau positron emission tomography (PET) and peripheral inflammation across stages defined by Aβ burden and neuronal injury in n = 132 (64.
View Article and Find Full Text PDFInt J Toxicol
September 2025
Department of Pharmaceutical Sciences, University of Vienna, Vienna, Austria.
Polyethylene glycols (PEGs) are amphiphilic polymers that are used extensively in consumer products and PEGylated biotherapeutics. Although PEGs are considered biologically inert with a low toxicity, anti-PEG antibodies have been detected in patients receiving treatment with PEGylated biotherapeutics as well as in healthy individuals. Despite continual exposure in daily life, the prevalence of PEGs within the general population remains unclear.
View Article and Find Full Text PDFFuture Med Chem
September 2025
Computational Science & Artificial Intelligence, Xenon Pharmaceuticals Inc, Burnaby, BC, Canada.
Aims: To develop a machine learning (ML) model for early-stage prediction of human half-life of oral central nervous system (CNS) drugs and to establish a curated dataset, including key and data, to support future modeling efforts.
Materials & Methods: Human and rat half-life, plasma protein binding (PPB), and liver microsomal clearance (LM) data for 76 diverse CNS drugs and candidates were obtained from public sources or evaluated at WuXi AppTec. Gradient tree boosting (GTB) models were constructed using ChemAxon's Trainer Engine.