» Articles » PMID: 38891933

Comparative Binding Study of Gliptins to Bacterial DPP4-like Enzymes for the Treatment of Type 2 Diabetes Mellitus (T2DM)

Overview
Journal Int J Mol Sci
Publisher MDPI
Date 2024 Jun 19
PMID 38891933
Authors
Affiliations
Soon will be listed here.
Abstract

The role of the gut microbiota and its interplay with host metabolic health, particularly in the context of type 2 diabetes mellitus (T2DM) management, is garnering increasing attention. Dipeptidyl peptidase 4 (DPP4) inhibitors, commonly known as gliptins, constitute a class of drugs extensively used in T2DM treatment. However, their potential interactions with gut microbiota remain poorly understood. In this study, we employed computational methodologies to investigate the binding affinities of various gliptins to DPP4-like homologs produced by intestinal bacteria. The 3D structures of DPP4 homologs from gut microbiota species, including , , , , and sp., were predicted using computational modeling techniques. Subsequently, molecular dynamics simulations were conducted for 200 ns to ensure the stability of the predicted structures. Stable structures were then utilized to predict the binding interactions with known gliptins through molecular docking algorithms. Our results revealed binding similarities of gliptins toward bacterial DPP4 homologs compared to human DPP4. Specifically, certain gliptins exhibited similar binding scores to bacterial DPP4 homologs as they did with human DPP4, suggesting a potential interaction of these drugs with gut microbiota. These findings could help in understanding the interplay between gliptins and gut microbiota DPP4 homologs, considering the intricate relationship between the host metabolism and microbial communities in the gut.

References
1.
Bell G, Santerre R, Mullenbach G . Hamster preproglucagon contains the sequence of glucagon and two related peptides. Nature. 1983; 302(5910):716-8. DOI: 10.1038/302716a0. View

2.
Deacon C . Dipeptidyl peptidase-4 inhibitors in the treatment of type 2 diabetes: a comparative review. Diabetes Obes Metab. 2010; 13(1):7-18. DOI: 10.1111/j.1463-1326.2010.01306.x. View

3.
Qin J, Li Y, Cai Z, Li S, Zhu J, Zhang F . A metagenome-wide association study of gut microbiota in type 2 diabetes. Nature. 2012; 490(7418):55-60. DOI: 10.1038/nature11450. View

4.
Trott O, Olson A . AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading. J Comput Chem. 2009; 31(2):455-61. PMC: 3041641. DOI: 10.1002/jcc.21334. View

5.
Karagiannis T, Boura P, Tsapas A . Safety of dipeptidyl peptidase 4 inhibitors: a perspective review. Ther Adv Drug Saf. 2014; 5(3):138-46. PMC: 4110853. DOI: 10.1177/2042098614523031. View