ArticleClinical pharmacokinetics2023
Population Pharmacokinetic Analysis of Dorzagliatin in Healthy Subjects and Patients with Type 2 Diabetes Mellitus.
Article in Clinical pharmacokinetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
- Population pharmacokinetics and exposure-response modelling of firsekibart (GenSci048) in patients with acute gout flare: Implications for fixed-dose optimization.British journal of clinical pharmacology · 2026Article
- Clinical investigation of glucokinase activators for the restoration of glucose homeostasis in diabetes.Journal of diabetes · 2024Review
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectivesDorzagliatin is a first-in-class small molecule glucokinase activator (GKA) that improves pancreatic insulin secretion behavior and regulates hepatic glucose conversion in a glucose concentration-dependent manner. The primary objective of this study was to develop a population pharmacokinetic model of dorzagliatin to evaluate the influence of covariates, such as demographic characteristics and liver and kidney function, on the pharmacokinetics of dorzagliatin and provide a basis for medication guidance.
methodThe pharmacokinetic data of dorzagliatin in this study came from six clinical trials. Based on the combined data, a population pharmacokinetic model of dorzagliatin was established using NONMEM software (ICON, MD, USA, version 7.4.3). The algorithm used was first-order conditional estimation with interaction (FOCEI). The dorzagliatin population pharmacokinetic modeling analysis included 1062 subjects and 7686 observable concentrations. Covariates, including age (AGE), sex (GEND), body weight (TBW), body mass index (BMI), body surface area (BSA), albumin (ALB), alanine aminotransferase (ALT), aspartate aminotransferase (AST), serum creatinine (CR), creatinine clearance (CRCL), and total bilirubin (TBIL), were screened using the forward-backward method. Model evaluation was performed using goodness-of-fit plots, prediction corrected visual prediction check (pcVPC), and bootstrap.
resultsConcentration data of dorzagliatin in the dose range were best characterized by a two-compartment model with sequential zero-order then first-order absorption and first-order elimination. The final model estimated dorzagliatin data for typical male subjects (69 kg body weight, 18 U/L AST and 55 years old); the apparent total clearance (CL/F) was 10.4 L/h, apparent volume of central compartment distribution (V
conclusionThe two-compartment linear pharmacokinetic model with zero- and first-order sequential absorption adequately described the pharmacokinetic characteristics of dorzagliatin. Body weight, aspartate aminotransferase, and age had a statistically significant effect on the CL/F of dorzagliatin. Body weight and sex had a statistically significant effect on V
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