Modelling of Prednisolone Drug Encapsulation in Poly Lactic-co-Glycolic Acid Polymer Carrier Using Molecular Dynamics Simulations

IF 2.7 4区 医学 Q2 PHARMACOLOGY & PHARMACY Journal of Pharmaceutical Innovation Pub Date : 2024-10-28 DOI:10.1007/s12247-024-09880-4
Sriprasad Acharya, Surabhi Aswath, Srikanth Divi, Bharath Raja Guru, Poulumi Dey, Anoop Kishore Vatti
{"title":"Modelling of Prednisolone Drug Encapsulation in Poly Lactic-co-Glycolic Acid Polymer Carrier Using Molecular Dynamics Simulations","authors":"Sriprasad Acharya,&nbsp;Surabhi Aswath,&nbsp;Srikanth Divi,&nbsp;Bharath Raja Guru,&nbsp;Poulumi Dey,&nbsp;Anoop Kishore Vatti","doi":"10.1007/s12247-024-09880-4","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><p>Prednisolone, a synthetic corticosteroid drug, is extensively utilized to treat inflammatory diseases and regulates metabolism and the immune system in cancer treatment. However, these drugs are toxic and cause severe side effects if administrated for long durations and in large doses. This work intends to study the atomistic interactions of popular polymeric carrier like PLGA with the drug and thereby provide insights into achieving better loading and a sustained release.</p><h3>Methods</h3><p>Molecular dynamics (MD) simulations of prednisolone (drug) encapsulated in Poly Lactic-co-Glycolic acid (PLGA) are performed in this study. Grand Canonical Monte Carlo (GCMC) simulations with MD simulations are conducted to determine the water penetration in PLGA polymer and polymer stability in water. The investigations from this study encompasses structural and dynamical parameters, including the end-to-end distance, radius of gyration of polymer chains, interaction energy, and diffusion coefficient of the drug.</p><h3>Results</h3><p>The polymer-drug interactions are studied and identified from the simulation data of PLGA(75:25) and PLGA(50:50) polymers with prednisolone in an aqueous medium for optimal drug carrying capacity and effective drug release. Also, the polymeric systems of PLGA(75:25) and PLGA(50:50) are analyzed with the water penetrant loading using the Grand Canonical Monte Carlo (GCMC) and MD simulations. Water loading analysis revealed that PLGA(75:25) has the highest swelling compared to PLGA(50:50).</p><h3>Conclusion</h3><p>This study highlights the characteristics and critical parameters for developing an optimal drug delivery system by investigating polymer-drug interactions, drug encapsulation, and water uptake in polymers using MD and GCMC simulations.</p></div>","PeriodicalId":656,"journal":{"name":"Journal of Pharmaceutical Innovation","volume":"19 6","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Pharmaceutical Innovation","FirstCategoryId":"3","ListUrlMain":"https://link.springer.com/article/10.1007/s12247-024-09880-4","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose

Prednisolone, a synthetic corticosteroid drug, is extensively utilized to treat inflammatory diseases and regulates metabolism and the immune system in cancer treatment. However, these drugs are toxic and cause severe side effects if administrated for long durations and in large doses. This work intends to study the atomistic interactions of popular polymeric carrier like PLGA with the drug and thereby provide insights into achieving better loading and a sustained release.

Methods

Molecular dynamics (MD) simulations of prednisolone (drug) encapsulated in Poly Lactic-co-Glycolic acid (PLGA) are performed in this study. Grand Canonical Monte Carlo (GCMC) simulations with MD simulations are conducted to determine the water penetration in PLGA polymer and polymer stability in water. The investigations from this study encompasses structural and dynamical parameters, including the end-to-end distance, radius of gyration of polymer chains, interaction energy, and diffusion coefficient of the drug.

Results

The polymer-drug interactions are studied and identified from the simulation data of PLGA(75:25) and PLGA(50:50) polymers with prednisolone in an aqueous medium for optimal drug carrying capacity and effective drug release. Also, the polymeric systems of PLGA(75:25) and PLGA(50:50) are analyzed with the water penetrant loading using the Grand Canonical Monte Carlo (GCMC) and MD simulations. Water loading analysis revealed that PLGA(75:25) has the highest swelling compared to PLGA(50:50).

Conclusion

This study highlights the characteristics and critical parameters for developing an optimal drug delivery system by investigating polymer-drug interactions, drug encapsulation, and water uptake in polymers using MD and GCMC simulations.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用分子动力学模拟建立聚乳酸-共-乙醇酸聚合物载体中的泼尼松龙药物包囊模型
目的泼尼松龙是一种人工合成的皮质类固醇药物,被广泛用于治疗炎症性疾病,并在癌症治疗中调节新陈代谢和免疫系统。然而,这类药物具有毒性,长期大剂量使用会产生严重的副作用。这项工作旨在研究 PLGA 等常用聚合物载体与药物之间的原子相互作用,从而为实现更好的负载和持续释放提供见解。通过大卡农蒙特卡罗(GCMC)模拟和 MD 模拟,确定了水在 PLGA 聚合物中的渗透性和聚合物在水中的稳定性。本研究的调查涵盖了结构和动力学参数,包括聚合物链的端到端距离、回旋半径、相互作用能和药物的扩散系数。结果研究了聚合物与药物的相互作用,并从 PLGA(75:25) 和 PLGA(50:50) 聚合物与泼尼松龙在水介质中的模拟数据中确定了最佳的载药量和有效的药物释放。此外,还利用大卡农蒙特卡罗(Grand Canonical Monte Carlo,GCMC)和 MD 模拟分析了 PLGA(75:25) 和 PLGA(50:50) 聚合物体系的水渗透负荷。结论 本研究通过使用 MD 和 GCMC 模拟研究聚合物与药物的相互作用、药物封装以及聚合物的吸水性,突出了开发最佳给药系统的特征和关键参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Pharmaceutical Innovation
Journal of Pharmaceutical Innovation PHARMACOLOGY & PHARMACY-
CiteScore
3.70
自引率
3.80%
发文量
90
审稿时长
>12 weeks
期刊介绍: The Journal of Pharmaceutical Innovation (JPI), is an international, multidisciplinary peer-reviewed scientific journal dedicated to publishing high quality papers emphasizing innovative research and applied technologies within the pharmaceutical and biotechnology industries. JPI''s goal is to be the premier communication vehicle for the critical body of knowledge that is needed for scientific evolution and technical innovation, from R&D to market. Topics will fall under the following categories: Materials science, Product design, Process design, optimization, automation and control, Facilities; Information management, Regulatory policy and strategy, Supply chain developments , Education and professional development, Journal of Pharmaceutical Innovation publishes four issues a year.
期刊最新文献
The Assessment of Vaginal permeability – in silico Approach Coconut Oil and Shea Butter as Lipids for the Formulation of Ciprofloxacin-Loaded Nanoparticles Ezetimibe Loaded Nanostructured Lipid Carriers Tablets: Response Surface Methodology, In-vitro Characterization, and Pharmacokinetics Study in Rats Advanced Normal-Phase HPTLC Profiling of Eltrombopag Olamine with Automated Development and Box-Behnken Optimizations Characterization of Thermoresponsive Poly(N-vinylcaprolactam) Polymer Containing Doxorubicin-Loaded Niosomes: Synthesis, Structural Properties, and Anticancer Efficacy
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1