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      Computational studies for pre-evaluation of pharmacological profile of gut microbiota-produced gliclazide metabolites

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          Abstract

          Background

          Gliclazide, a second-generation sulfonylurea derivative still widely used as a second-line treatment for type 2 diabetes mellitus, is well known to be subject to interindividual differences in bioavailability, leading to variations in therapeutic responses among patients. Distinct gut microbiota profiles among individuals are one of the most crucial yet commonly overlooked factors contributing to the variable bioavailability of numerous drugs. In light of the shift towards a more patient-centered approach in diabetes treatment, this study aimed to conduct a pharmacoinformatic analysis of gliclazide metabolites produced by gut microbiota and assess their docking potential with the SUR1 receptor to identify compounds with improved pharmacological profiles compared to the parent drug.

          Methods

          Ten potential gliclazide metabolites produced by the gut microbiota were screened for their pharmacological properties. Molecular docking analysis regarding SUR1 receptor was performed using Molegro Virtual Docker software. Drug-likeness properties were evaluated using DruLiTo software. Subsequently, the physicochemical and pharmacokinetic properties of gliclazide and its metabolites were determined by using VolSurf+ software package.

          Results

          All studied metabolites exhibited better intrinsic solubility than gliclazide, which is of interest, considering that solubility is a limiting factor for its bioavailability. Based on the values of investigated molecular descriptors, hydroxylated metabolites M1-M6 showed the most pronounced polar and hydrophilic properties, which could significantly contribute to their in vivo solubility. Additionally, docking analysis revealed that four hydroxyl-metabolites (M1, M3, M4, and M5), although having a slightly poorer permeability through the Caco-2 cells compared to gliclazide, showed the highest binding affinity to the SUR1 receptor and exhibited the most suitable pharmacological properties.

          Conclusion

          In silico study revealed that hydroxylated gut microbiota-produced gliclazide metabolites should be further investigated as potential drug candidates with improved characteristics compared to parent drug. Moreover, their part in the therapeutic effects of gliclazide should be additionally studied in vivo, in order to elucidate the role of gut microbiota in gliclazide pharmacology, namely from the perspective of personalized medicine.

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          Most cited references58

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          The Protein Data Bank.

          The Protein Data Bank (PDB; http://www.rcsb.org/pdb/ ) is the single worldwide archive of structural data of biological macromolecules. This paper describes the goals of the PDB, the systems in place for data deposition and access, how to obtain further information, and near-term plans for the future development of the resource.
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            Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings.

            Experimental and computational approaches to estimate solubility and permeability in discovery and development settings are described. In the discovery setting 'the rule of 5' predicts that poor absorption or permeation is more likely when there are more than 5 H-bond donors, 10 H-bond acceptors, the molecular weight (MWT) is greater than 500 and the calculated Log P (CLogP) is greater than 5 (or MlogP > 4.15). Computational methodology for the rule-based Moriguchi Log P (MLogP) calculation is described. Turbidimetric solubility measurement is described and applied to known drugs. High throughput screening (HTS) leads tend to have higher MWT and Log P and lower turbidimetric solubility than leads in the pre-HTS era. In the development setting, solubility calculations focus on exact value prediction and are difficult because of polymorphism. Recent work on linear free energy relationships and Log P approaches are critically reviewed. Useful predictions are possible in closely related analog series when coupled with experimental thermodynamic solubility measurements.
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              Fast calculation of molecular polar surface area as a sum of fragment-based contributions and its application to the prediction of drug transport properties.

              Molecular polar surface area (PSA), i.e., surface belonging to polar atoms, is a descriptor that was shown to correlate well with passive molecular transport through membranes and, therefore, allows prediction of transport properties of drugs. The calculation of PSA, however, is rather time-consuming because of the necessity to generate a reasonable 3D molecular geometry and the calculation of the surface itself. A new approach for the calculation of the PSA is presented here, based on the summation of tabulated surface contributions of polar fragments. The method, termed topological PSA (TPSA), provides results which are practically identical with the 3D PSA (the correlation coefficient between 3D PSA and fragment-based TPSA for 34 810 molecules from the World Drug Index is 0.99), while the computation speed is 2-3 orders of magnitude faster. The new methodology may, therefore, be used for fast bioavailability screening of virtual libraries having millions of molecules. This article describes the new methodology and shows the results of validation studies based on sets of published absorption data, including intestinal absorption, Caco-2 monolayer penetration, and blood-brain barrier penetration.
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                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/569021/overviewRole: Role: Role: Role: Role: Role: Role: Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/576568/overviewRole: Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/1935427/overviewRole: Role:
                URI : https://loop.frontiersin.org/people/580534/overviewRole:
                URI : https://loop.frontiersin.org/people/1685888/overviewRole:
                URI : https://loop.frontiersin.org/people/284844/overviewRole:
                URI : https://loop.frontiersin.org/people/12929/overviewRole: Role: Role:
                Journal
                Front Pharmacol
                Front Pharmacol
                Front. Pharmacol.
                Frontiers in Pharmacology
                Frontiers Media S.A.
                1663-9812
                03 December 2024
                2024
                : 15
                : 1492284
                Affiliations
                [1] 1 Department of Pharmacology, Toxicology and Clinical Pharmacology , Faculty of Medicine , University of Novi Sad , Novi Sad, Serbia
                [2] 2 Department of Pharmacy , Faculty of Medicine , University of Novi Sad , Novi Sad, Serbia
                [3] 3 Department of Biochemistry , Faculty of Medicine , University of Novi Sad , Novi Sad, Serbia
                [4] 4 The Biotechnology and Drug Development Research Laboratory , Curtin Medical School and Curtin Health Innovation Research Institute , Curtin University , Perth, WA, Australia
                Author notes

                Edited by: Yurong Lai, Gilead, United States

                Reviewed by: Abad Khan, University of Swabi, Pakistan

                Subas Chandra Dinda, The Neotia University, India

                *Correspondence: Maja Đanić, maja.djanic@ 123456mf.uns.ac.rs
                Article
                1492284
                10.3389/fphar.2024.1492284
                11649407
                39691391
                4f2f106c-f365-4fdd-8a42-bc131ef6d9d4
                Copyright © 2024 Đanić, Pavlović, Zaklan, Stanimirov, Lazarević, Al-Salami and Mikov.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 06 September 2024
                : 11 November 2024
                Funding
                The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Project of Ministry of Education, Science and Technological Development, Republic of Serbia No 451-03-68/2022-14/200114 and the Project for Scientific and Technological Development of Vojvodina (142-451-3522/2023-01).
                Categories
                Pharmacology
                Original Research
                Custom metadata
                Drug Metabolism and Transport

                Pharmacology & Pharmaceutical medicine
                drug metabolites,pharmacomicrobiomics,gut microbiota,diabetes mellitus,drug metabolism

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