Deciphering the Pharmacological Potential of Kouqiangjie Formula for the Treatment of Diabetic Periodontitis Based on Network Pharmacology, Machine Learning, Molecular Dynamics, and Animal Experiments.

IF 5.1 2区 医学 Q1 CHEMISTRY, MEDICINAL Drug Design, Development and Therapy Pub Date : 2025-03-20 eCollection Date: 2025-01-01 DOI:10.2147/DDDT.S494066
Yeke Wu, Jiawei Li, Min Liu, Ranran Gao, Huijing Li, Yunfei Xie, Qiongying Hu, Jing Wei, Lixing Zhao, Li Li
{"title":"Deciphering the Pharmacological Potential of Kouqiangjie Formula for the Treatment of Diabetic Periodontitis Based on Network Pharmacology, Machine Learning, Molecular Dynamics, and Animal Experiments.","authors":"Yeke Wu, Jiawei Li, Min Liu, Ranran Gao, Huijing Li, Yunfei Xie, Qiongying Hu, Jing Wei, Lixing Zhao, Li Li","doi":"10.2147/DDDT.S494066","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Periodontitis (PD) and type 2 diabetes mellitus (T2DM) represent interlinked global health burdens, commonly causing significant clinical complications when coincident. Therefore, managing both conditions (T2DM with periodontitis, DP) simultaneously poses considerable challenges, necessitating novel therapeutic strategies. KQJF has been clinically proven to treat DP with good efficacy, but its pharmacological substances and targets are not clear and urgently need to be clarified.</p><p><strong>Aim: </strong>To define the potential active components and targets of KQJF for the treatment of DP.</p><p><strong>Materials and methods: </strong>The investigation commenced with the application of UPLC-Q-TOF/MS analysis to delineate the active constituents of KQJF and their associated targets in addressing DP. Additionally, the research incorporated subsequent methodologies such as machine learning, network pharmacology, molecular docking, molecular dynamics simulations, and a DP rat model was established and validated by in vivo experiments using H&E staining, immunohistochemistry, quantitative real-time PCR, and Western blot.</p><p><strong>Results: </strong>KQJF was found to contain 49 prototype compounds and 121 metabolites with potential activity against PD and T2DM. Network pharmacology revealed 66 overlapping genes between the pharmacological targets of KQJF and known targets of PD and T2DM. Further exploration through PPI network and enrichment analyses illuminated the involvement of multi-target and multi-pathway mechanisms. Molecular docking and dynamics simulations confirmed the robust interactions between key compounds within KQJF and proteins associated with the diseases. In vivo validation demonstrated that KQJF treatment ameliorated DP-associated histopathological changes and modulated the expression of crucial proteins (including ABCG2, CCND1, CDKN1B, HIF1A, and PIK3R1) in a DP rat model.</p><p><strong>Conclusion: </strong>In summary, KQJF exhibits potential therapeutic benefits for DP through a multi-component and multi-target approach, potentially offering a novel integrative treatment strategy. This study underscores the importance of integrating traditional medicine with modern molecular techniques to explore novel therapeutic avenues for complex comorbid conditions, providing a blueprint for future pharmacological explorations.</p>","PeriodicalId":11290,"journal":{"name":"Drug Design, Development and Therapy","volume":"19 ","pages":"2103-2129"},"PeriodicalIF":5.1000,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11932940/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drug Design, Development and Therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/DDDT.S494066","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Periodontitis (PD) and type 2 diabetes mellitus (T2DM) represent interlinked global health burdens, commonly causing significant clinical complications when coincident. Therefore, managing both conditions (T2DM with periodontitis, DP) simultaneously poses considerable challenges, necessitating novel therapeutic strategies. KQJF has been clinically proven to treat DP with good efficacy, but its pharmacological substances and targets are not clear and urgently need to be clarified.

Aim: To define the potential active components and targets of KQJF for the treatment of DP.

Materials and methods: The investigation commenced with the application of UPLC-Q-TOF/MS analysis to delineate the active constituents of KQJF and their associated targets in addressing DP. Additionally, the research incorporated subsequent methodologies such as machine learning, network pharmacology, molecular docking, molecular dynamics simulations, and a DP rat model was established and validated by in vivo experiments using H&E staining, immunohistochemistry, quantitative real-time PCR, and Western blot.

Results: KQJF was found to contain 49 prototype compounds and 121 metabolites with potential activity against PD and T2DM. Network pharmacology revealed 66 overlapping genes between the pharmacological targets of KQJF and known targets of PD and T2DM. Further exploration through PPI network and enrichment analyses illuminated the involvement of multi-target and multi-pathway mechanisms. Molecular docking and dynamics simulations confirmed the robust interactions between key compounds within KQJF and proteins associated with the diseases. In vivo validation demonstrated that KQJF treatment ameliorated DP-associated histopathological changes and modulated the expression of crucial proteins (including ABCG2, CCND1, CDKN1B, HIF1A, and PIK3R1) in a DP rat model.

Conclusion: In summary, KQJF exhibits potential therapeutic benefits for DP through a multi-component and multi-target approach, potentially offering a novel integrative treatment strategy. This study underscores the importance of integrating traditional medicine with modern molecular techniques to explore novel therapeutic avenues for complex comorbid conditions, providing a blueprint for future pharmacological explorations.

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
基于网络药理学、机器学习、分子动力学和动物实验解读口强洁方治疗糖尿病牙周炎的药理潜力。
背景:牙周炎(PD)和2型糖尿病(T2DM)是相互关联的全球健康负担,当同时发生时通常会导致显著的临床并发症。因此,同时管理这两种疾病(T2DM合并牙周炎,DP)带来了相当大的挑战,需要新的治疗策略。经临床证实,KQJF治疗DP有较好的疗效,但其药理物质和作用靶点尚不清楚,急需明确。目的:明确中药解渴合剂治疗糖尿病的潜在有效成分和作用靶点。材料和方法:本研究首先采用UPLC-Q-TOF/MS分析方法来描述KQJF的有效成分及其在治疗DP中的相关靶点。此外,本研究还结合了机器学习、网络药理学、分子对接、分子动力学模拟等后续方法,通过H&E染色、免疫组织化学、实时荧光定量PCR和Western blot等活体实验,建立了DP大鼠模型并进行了验证。结果:KQJF含有49种原型化合物和121种代谢物,具有抗PD和T2DM的潜在活性。网络药理学发现,KQJF的药理靶点与已知的PD和T2DM靶点之间存在66个重叠基因。通过PPI网络的进一步探索和富集分析,揭示了多靶点和多途径机制的参与。分子对接和动力学模拟证实了KQJF中关键化合物与疾病相关蛋白之间的强大相互作用。体内验证表明,在DP大鼠模型中,KQJF治疗改善了DP相关的组织病理学变化,并调节了关键蛋白(包括ABCG2、CCND1、CDKN1B、HIF1A和PIK3R1)的表达。结论:总之,KQJF通过多组分和多靶点的方法显示出潜在的治疗DP的益处,可能提供一种新的综合治疗策略。本研究强调了将传统医学与现代分子技术结合起来,探索复杂合并症的新治疗途径的重要性,为未来的药理学探索提供了蓝图。
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
Drug Design, Development and Therapy
Drug Design, Development and Therapy CHEMISTRY, MEDICINAL-PHARMACOLOGY & PHARMACY
CiteScore
9.00
自引率
0.00%
发文量
382
审稿时长
>12 weeks
期刊介绍: Drug Design, Development and Therapy is an international, peer-reviewed, open access journal that spans the spectrum of drug design, discovery and development through to clinical applications. The journal is characterized by the rapid reporting of high-quality original research, reviews, expert opinions, commentary and clinical studies in all therapeutic areas. Specific topics covered by the journal include: Drug target identification and validation Phenotypic screening and target deconvolution Biochemical analyses of drug targets and their pathways New methods or relevant applications in molecular/drug design and computer-aided drug discovery* Design, synthesis, and biological evaluation of novel biologically active compounds (including diagnostics or chemical probes) Structural or molecular biological studies elucidating molecular recognition processes Fragment-based drug discovery Pharmaceutical/red biotechnology Isolation, structural characterization, (bio)synthesis, bioengineering and pharmacological evaluation of natural products** Distribution, pharmacokinetics and metabolic transformations of drugs or biologically active compounds in drug development Drug delivery and formulation (design and characterization of dosage forms, release mechanisms and in vivo testing) Preclinical development studies Translational animal models Mechanisms of action and signalling pathways Toxicology Gene therapy, cell therapy and immunotherapy Personalized medicine and pharmacogenomics Clinical drug evaluation Patient safety and sustained use of medicines.
期刊最新文献
Applications of Plant Lectins in Detection and Targeted Therapy of Urological Cancers. mTOR Signaling Pathway in Antiphospholipid Syndrome: Pathogenesis and Potential Therapeutic Targets. Impact of Estimated Glomerular Filtration Rate Equations on Vancomycin Dosing and Treatment Outcomes. Novel Pyrazole-3-Cyano-2-Pyridinone Hybrids as Multitarget Anti-Inflammatory Agents: Synthesis, Computational Modeling, and Biological Evaluation. The Correlation Between Neoadjuvant Chemotherapy for Ovarian Cancer and the Analgesic Effects of Remifentanil a Prospective Cohort Study.
×
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:604180095
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