Zhaoyu Liu, Jingxun Chen, Mingkun Xu, David H. Gracias, Ken-Tye Yong, Yuanyuan Wei, Ho-Pui Ho
{"title":"Programmable Lipid Nanoparticles for Precision Drug Delivery: A Four-Domain Model Perspective","authors":"Zhaoyu Liu, Jingxun Chen, Mingkun Xu, David H. Gracias, Ken-Tye Yong, Yuanyuan Wei, Ho-Pui Ho","doi":"arxiv-2408.05695","DOIUrl":null,"url":null,"abstract":"Programmable lipid nanoparticles (LNPs) offer precise spatiotemporal control\nover drug distribution and release, a critical advancement for treating complex\ndiseases like cancer and genetic disorders. While existing reviews offer\nextensive insights into LNP development, this work introduces a novel model\nthat dissects key components of LNP design, providing a framework to enhance\nthe rational design of programmable LNPs. This review introduces a novel\nFour-Domain Model - Architecture, Interface, Payload, and Dispersal - providing\na modular perspective that emphasizes the programmability of LNPs. We explore\nthe dynamics between LNPs components and their environment throughout their\nlifecycle, focusing on thermodynamic stability during synthesis, storage,\ndelivery, and drug release. Through these four distinct but interconnected\ndomains, we introduce the concept of input stimuli, functional components, and\noutput responses. This modular approach offers new perspectives for the\nrational design of programmable nanocarriers for exquisite control over payload\nrelease while minimizing off-target effects. Advances in bioinspired design\nprinciples could lead to LNPs that mimic natural biological systems, enhancing\ntheir biocompatibility and functionality. This review summarizes recent\nadvancements, identifies challenges, and offers outlooks for programmable LNPs,\nemphasizing their potential to evolve into more intelligent, naturally\nintegrated systems that enhance scalability and reduce side effects.","PeriodicalId":501022,"journal":{"name":"arXiv - QuanBio - Biomolecules","volume":"419 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Biomolecules","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.05695","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Programmable lipid nanoparticles (LNPs) offer precise spatiotemporal control
over drug distribution and release, a critical advancement for treating complex
diseases like cancer and genetic disorders. While existing reviews offer
extensive insights into LNP development, this work introduces a novel model
that dissects key components of LNP design, providing a framework to enhance
the rational design of programmable LNPs. This review introduces a novel
Four-Domain Model - Architecture, Interface, Payload, and Dispersal - providing
a modular perspective that emphasizes the programmability of LNPs. We explore
the dynamics between LNPs components and their environment throughout their
lifecycle, focusing on thermodynamic stability during synthesis, storage,
delivery, and drug release. Through these four distinct but interconnected
domains, we introduce the concept of input stimuli, functional components, and
output responses. This modular approach offers new perspectives for the
rational design of programmable nanocarriers for exquisite control over payload
release while minimizing off-target effects. Advances in bioinspired design
principles could lead to LNPs that mimic natural biological systems, enhancing
their biocompatibility and functionality. This review summarizes recent
advancements, identifies challenges, and offers outlooks for programmable LNPs,
emphasizing their potential to evolve into more intelligent, naturally
integrated systems that enhance scalability and reduce side effects.