Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Purpose This study aimed to assess the overall clinical adverse events (AEs) associated with glucokinase activators (GKAs) in patients with type 2 diabetes mellitus (T2DM). Methods We searched MEDLINE, EMBASE, Cochrane Library, and ClinicalTrials.gov databases from their dates of inception to June 6, 2023, for randomized controlled trials (RCTs) that reported safety data for GKAs in patients with T2DM. A random-effects model was used to obtain a summary odds ratio (OR) with associated 95% Confidence Intervals (CIs). Pre-specified subgroup analyses were conducted according to individual GKAs (dorzagliatin and all other GKAs), various controls, follow-up duration, mean duration of diabetes, and the location of clinical research. Results 17 RCTs enrolling 4,918 patients (3,196 patients received GKAs and 1,722 patients received placebo or other hypoglycemic drugs) were identified. Among the 17 RCTs, dorzagliatin, AZD1656 and MK-0941 in three trials (1,541 patients), five trials (885 patients), and three trials (798 patients), respectively. GKA treatment was associated with a higher risk of any AEs (OR 1.220, 95% CI 1.072–1.389), mild AEs (OR 1.373, 95% CI 1.085–1.738), hyperlipidemia (OR 1.532, 95% CI 1.071–2.189), and hyperuricemia (OR 2.768, 95% CI 1.562–4.903) compared to patients in the control groups. The higher risks of any AEs were mainly attributed to dorzagliatin and MK-0941 and mild AEs mainly attributed to dorzagliatin. Notably, dorzagliatin had significant effects on the occurrence of hyperlipidemia (OR 1.476, 95% CI 1.025–2.126) and hyperuricemia (OR 2.727, 95% CI 1.523–4.883) in the subgroup analyses. No significant effects were detected from other GKAs when regarding hyperlipidemia and hyperuricemia. Conclusion The results of our meta-analysis indicated that GKAs were associated with a higher risk of any AEs, mild AEs, hyperlipidemia, and hyperuricemia. Further subgroup analyses revealed that the increased occurrence of hyperlipidemia, and hyperuricemia mainly originated from dorzagliatin treatment.
Purpose This study aimed to assess the overall clinical adverse events (AEs) associated with glucokinase activators (GKAs) in patients with type 2 diabetes mellitus (T2DM). Methods We searched MEDLINE, EMBASE, Cochrane Library, and ClinicalTrials.gov databases from their dates of inception to June 6, 2023, for randomized controlled trials (RCTs) that reported safety data for GKAs in patients with T2DM. A random-effects model was used to obtain a summary odds ratio (OR) with associated 95% Confidence Intervals (CIs). Pre-specified subgroup analyses were conducted according to individual GKAs (dorzagliatin and all other GKAs), various controls, follow-up duration, mean duration of diabetes, and the location of clinical research. Results 17 RCTs enrolling 4,918 patients (3,196 patients received GKAs and 1,722 patients received placebo or other hypoglycemic drugs) were identified. Among the 17 RCTs, dorzagliatin, AZD1656 and MK-0941 in three trials (1,541 patients), five trials (885 patients), and three trials (798 patients), respectively. GKA treatment was associated with a higher risk of any AEs (OR 1.220, 95% CI 1.072–1.389), mild AEs (OR 1.373, 95% CI 1.085–1.738), hyperlipidemia (OR 1.532, 95% CI 1.071–2.189), and hyperuricemia (OR 2.768, 95% CI 1.562–4.903) compared to patients in the control groups. The higher risks of any AEs were mainly attributed to dorzagliatin and MK-0941 and mild AEs mainly attributed to dorzagliatin. Notably, dorzagliatin had significant effects on the occurrence of hyperlipidemia (OR 1.476, 95% CI 1.025–2.126) and hyperuricemia (OR 2.727, 95% CI 1.523–4.883) in the subgroup analyses. No significant effects were detected from other GKAs when regarding hyperlipidemia and hyperuricemia. Conclusion The results of our meta-analysis indicated that GKAs were associated with a higher risk of any AEs, mild AEs, hyperlipidemia, and hyperuricemia. Further subgroup analyses revealed that the increased occurrence of hyperlipidemia, and hyperuricemia mainly originated from dorzagliatin treatment.
Background: Small heterocyclic compounds have been crucial in pioneering advances in type 2 diabetes treatment. There has been a dramatic increase in the pharmacological development of novel heterocyclic derivatives aimed at stimulating the activation of Glucokinase (GK). A pharmaceutical intervention for diabetes is increasingly targeting GK as a legitimate target. Diabetes type 2 compromises Glucokinase's function, an enzyme vital for maintaining the balance of blood glucose levels. Medicinal substances strategically positioned to improve type 2 diabetes management are used to stimulate the GK enzyme using heterocyclic derivatives. Objective: The research endeavor aimed to craft novel compounds, drawing inspiration from the inherent coumarin nucleus found in nature. The goal was to evoke the activity of the glucokinase enzyme, offering a tailored approach to mitigate the undesired side effects typically associated with conventional therapies employed in the treatment of type 2 diabetes. Methods: Coumarin, sourced from nature's embrace, unfolds as a potent and naturally derived ally in the quest for innovative antidiabetic interventions. Coumarin was extracted from a variety of botanical origins, including Artemisia keiskeana, Mallotus resinosus, Jatropha integerrima, Ferula tingitana, Zanthoxylum schinifolium, Phebalium clavatum, and Mammea siamensis. This inclusive evaluation was conducted on Muybridge's digital database containing 53,000 hit compounds. The presence of the coumarin nucleus was found in 100 compounds, that were selected from this extensive repository. Utilizing Auto Dock Vina 1.5.6 and ChemBioDraw Ultra, structures generated through this process underwent docking analysis. Furthermore, these compounds were accurately predicted online log P using the Swiss ADME algorithm. A predictive analysis was conducted using PKCSM software on the primary compounds to assess potential toxicity. Results: Using Auto Dock Vina 1.5.6, 100 coumarin derivatives were assessed for docking. Glucokinase (GK) binding was significantly enhanced by most of these compounds. Based on superior binding characteristics compared with Dorzagliatin (standard GKA) and MRK (co-crystallized ligand), the top eight molecules were identified. After further evaluation through ADMET analysis of these eight promising candidates, it was confirmed that they met the Lipinski rule of five and their pharmacokinetic profile was enhanced. The highest binding affinity was demonstrated by APV16 at -10.6 kcal/mol. A comparison between the APV16, Dorzagliatin and MRK in terms of toxicity predictions using PKCSM indicated that the former exhibited less skin sensitization, AMES toxicity, and hepatotoxicity. Conclusion: Glucokinase is most potently activated by 100 of the compound leads in the database of 53,000 compounds that contain the coumarin nucleus. APV12, with its high binding affinity, favorable ADMET (adjusted drug metabolic equivalents), minimal toxicity, and favorable pharmacokinetic profile warrants consideration for progress to in vitro testing. Nevertheless, to uncover potential therapeutic implications, particularly in the context of type 2 diabetes, thorough investigations and in-vivo evaluations are necessary for benchmarking before therapeutic use, especially experiments involving the STZ diabetic rat model.
Background: A pivotal impetus has led to the development of numerous small molecules to develop therapeutic strategies for type 2 diabetes. Novel heterocyclic derivatives are now available with expansive pharmacological activity designed specifically to activate Glucokinase (GK) in the body. This target is of particular significance in antidiabetic drug design since it is a newly validated target. Individuals with type 2 diabetes are unable to maintain blood glucose homeostasis due to impaired glucokinase function. The novel approach to managing type 2 diabetes relies on utilizing heterocyclic derivatives to activate the GK enzyme, also known as a metabolic enzyme. Objective: In this research endeavor, the primary objective was to improve drug delivery while minimizing adverse effects by using molecules that activate glucokinase. Methods: There are 53,000 compounds included in Maybridge's online repository, which has been subjected to rigorous scrutiny. Eight two compounds that encompass the specific oxadiazole core were selectively extracted from this extensive collection. ChemBioDraw Ultra was used for structural drawing, and AutoDock Vina 1.5.6 was used to perform docking analysis. For the online prediction of log P, the SwissADME algorithm was employed. A PKCSM software program was used to predict toxicity for leading compounds. Results: Among all of the compounds, AD80 and AD27 displayed the highest affinity for GK receptors. These compounds, by adhering to Lipinski’s Rule of Five, exhibited good absorption and excretion profiles through the gastrointestinal (GI) tract. Lipinski’s Rule of Five refers to physicochemical properties that favor good oral bioavailability, and these specifications are zero to five hydrogen bond donors, zero to ten hydrogen bond acceptors, molecular weight below 500, and log P no more than five. These criteria ensure that the compounds of the invention have acceptable solubility and permeability, which are vital prerequisites when given orally, to be absorbed via the gastrointestinal wall, metabolized, and found in the urine. Therefore, the chance of drug candidates exhibiting favorable pharmacokinetic characteristics is increased, enhancing their chances of being developed for oral administration. In comparison with standard drugs Dorzagliatin as a glucokinase activator (GKA) and MRK (co-crystallized ligand), these compounds exhibit no skin sensitization, AMES toxicity, or hepatotoxicity. Conclusion: The recently designed lead molecules exhibit an improved pharmacokinetic profile, enhanced binding affinity, and minimal toxicity based on the computational study, potentially making them suitable candidates for further optimization as glucokinase activators.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.