Meixia Wang, Huan Zhong, Yangbing Li, Juan Li, Xinxin Zhang, Fang He, Ping Wei, Hong-Hui Wang, Zhou Nie
{"title":"生物标记驱动疗法的生物启发人工系统研究进展。","authors":"Meixia Wang, Huan Zhong, Yangbing Li, Juan Li, Xinxin Zhang, Fang He, Ping Wei, Hong-Hui Wang, Zhou Nie","doi":"10.1002/chem.202401593","DOIUrl":null,"url":null,"abstract":"<p>Bioinspired molecular engineering strategies have emerged as powerful tools that significantly enhance the development of novel therapeutics, improving efficacy, specificity, and safety in disease treatment. Recent advancements have focused on identifying and utilizing disease-associated biomarkers to optimize drug activity and address challenges inherent in traditional therapeutics, such as frequent drug administrations, poor patient adherence, and increased risk of adverse effects. In this review, we provide a comprehensive overview of the latest developments in bioinspired artificial systems (BAS) that use molecular engineering to tailor therapeutic responses to drugs in the presence of disease-specific biomarkers. We examine the transition from open-loop systems, which rely on external cues, to closed-loop feedback systems capable of autonomous self-regulation in response to disease-associated biomarkers. We detail various BAS modalities designed to achieve biomarker-driven therapy, including activatable prodrug molecules, smart drug delivery platforms, autonomous artificial cells, and synthetic receptor-based cell therapies, elucidating their operational principles and practical <i>in vivo</i> applications. Finally, we discuss the current challenges and future perspectives in the advancement of BAS-enabled technology and envision that ongoing advancements toward more programmable and customizable BAS-based therapeutics will significantly enhance precision medicine.</p>","PeriodicalId":144,"journal":{"name":"Chemistry - A European Journal","volume":"30 48","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advances in Bioinspired Artificial System Enabling Biomarker-Driven Therapy\",\"authors\":\"Meixia Wang, Huan Zhong, Yangbing Li, Juan Li, Xinxin Zhang, Fang He, Ping Wei, Hong-Hui Wang, Zhou Nie\",\"doi\":\"10.1002/chem.202401593\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Bioinspired molecular engineering strategies have emerged as powerful tools that significantly enhance the development of novel therapeutics, improving efficacy, specificity, and safety in disease treatment. Recent advancements have focused on identifying and utilizing disease-associated biomarkers to optimize drug activity and address challenges inherent in traditional therapeutics, such as frequent drug administrations, poor patient adherence, and increased risk of adverse effects. In this review, we provide a comprehensive overview of the latest developments in bioinspired artificial systems (BAS) that use molecular engineering to tailor therapeutic responses to drugs in the presence of disease-specific biomarkers. We examine the transition from open-loop systems, which rely on external cues, to closed-loop feedback systems capable of autonomous self-regulation in response to disease-associated biomarkers. We detail various BAS modalities designed to achieve biomarker-driven therapy, including activatable prodrug molecules, smart drug delivery platforms, autonomous artificial cells, and synthetic receptor-based cell therapies, elucidating their operational principles and practical <i>in vivo</i> applications. Finally, we discuss the current challenges and future perspectives in the advancement of BAS-enabled technology and envision that ongoing advancements toward more programmable and customizable BAS-based therapeutics will significantly enhance precision medicine.</p>\",\"PeriodicalId\":144,\"journal\":{\"name\":\"Chemistry - A European Journal\",\"volume\":\"30 48\",\"pages\":\"\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2024-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chemistry - A European Journal\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/chem.202401593\",\"RegionNum\":2,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemistry - A European Journal","FirstCategoryId":"92","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/chem.202401593","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
摘要
生物启发分子工程策略已成为一种强大的工具,可显著促进新型疗法的开发,提高疾病治疗的疗效、特异性和安全性。最近的进展主要集中在识别和利用与疾病相关的生物标记物来优化药物活性,并解决传统疗法固有的挑战,如频繁给药、患者依从性差以及不良反应风险增加等。在这篇综述中,我们全面概述了生物启发人工系统(BAS)的最新发展,该系统利用分子工程学在存在特定疾病生物标志物的情况下定制药物治疗反应。我们研究了从依赖外部线索的开环系统到能够根据疾病相关生物标志物进行自主自我调节的闭环反馈系统的转变。我们详细介绍了旨在实现生物标志物驱动疗法的各种 BAS 模式,包括可激活的原药分子、智能给药平台、自主人工细胞和基于合成受体的细胞疗法,阐明了它们的运行原理和体内实际应用。最后,我们讨论了 BAS 技术目前面临的挑战和未来的发展前景,并展望了基于 BAS 的更多可编程和可定制疗法的不断进步将大大提高精准医疗的水平。
Advances in Bioinspired Artificial System Enabling Biomarker-Driven Therapy
Bioinspired molecular engineering strategies have emerged as powerful tools that significantly enhance the development of novel therapeutics, improving efficacy, specificity, and safety in disease treatment. Recent advancements have focused on identifying and utilizing disease-associated biomarkers to optimize drug activity and address challenges inherent in traditional therapeutics, such as frequent drug administrations, poor patient adherence, and increased risk of adverse effects. In this review, we provide a comprehensive overview of the latest developments in bioinspired artificial systems (BAS) that use molecular engineering to tailor therapeutic responses to drugs in the presence of disease-specific biomarkers. We examine the transition from open-loop systems, which rely on external cues, to closed-loop feedback systems capable of autonomous self-regulation in response to disease-associated biomarkers. We detail various BAS modalities designed to achieve biomarker-driven therapy, including activatable prodrug molecules, smart drug delivery platforms, autonomous artificial cells, and synthetic receptor-based cell therapies, elucidating their operational principles and practical in vivo applications. Finally, we discuss the current challenges and future perspectives in the advancement of BAS-enabled technology and envision that ongoing advancements toward more programmable and customizable BAS-based therapeutics will significantly enhance precision medicine.
期刊介绍:
Chemistry—A European Journal is a truly international journal with top quality contributions (2018 ISI Impact Factor: 5.16). It publishes a wide range of outstanding Reviews, Minireviews, Concepts, Full Papers, and Communications from all areas of chemistry and related fields.
Based in Europe Chemistry—A European Journal provides an excellent platform for increasing the visibility of European chemistry as well as for featuring the best research from authors from around the world.
All manuscripts are peer-reviewed, and electronic processing ensures accurate reproduction of text and data, plus short publication times.
The Concepts section provides nonspecialist readers with a useful conceptual guide to unfamiliar areas and experts with new angles on familiar problems.
Chemistry—A European Journal is published on behalf of ChemPubSoc Europe, a group of 16 national chemical societies from within Europe, and supported by the Asian Chemical Editorial Societies. The ChemPubSoc Europe family comprises: Angewandte Chemie, Chemistry—A European Journal, European Journal of Organic Chemistry, European Journal of Inorganic Chemistry, ChemPhysChem, ChemBioChem, ChemMedChem, ChemCatChem, ChemSusChem, ChemPlusChem, ChemElectroChem, and ChemistryOpen.