m+Medelevator.RU
← Поиск публикаций
Advanced healthcare materials · 2025

DNA Barcoding-Enabled Tracking of Lipid Nanoparticles: Drug-Loading-Dependent Biodistribution and Tumor Microenvironment Targeting.

СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Xu Letao, Chen Rui, Wang Xing, Liu Dawei, Liu Yun, Zhao Chun-Xia

Аннотация

Lipid nanoparticles (LNPs) are versatile drug delivery systems, yet the impact of drug loading (DL) on their biodistribution and cellular uptake remains poorly understood. Optimizing drug loading is crucial for enhancing therapeutic efficacy and safety, as higher loading allows for lower LNP doses, reducing overall nanomaterial burden. Addressing this knowledge gap is essential for advancing LNP-based cancer therapies. This study integrates DNA barcoding technology with LNPs to evaluate their in vivo delivery behaviors under varying drug loadings. Using a sequential nanoprecipitation method, DNA-barcoded LNPs with low (1%), medium (16%), and high (26%) drug loadings are fabricated, each tagged with a unique DNA barcode for precise tracking. Pooled LNPs are intravenously administered to tumor-bearing mice, and their biodistribution across organs is quantified via qPCR. High drug-loading LNPs demonstrate preferential accumulation in the spleen, while low drug-loading LNPs exhibit higher liver accumulation, suggesting faster clearance. Cellular uptake analysis reveals enhanced uptake of high drug-loading LNPs by tumor-associated macrophages within the tumor microenvironment (TME). This study establishes a robust platform for simultaneous and high-sensitivity monitoring of LNP behaviors, significantly reducing animal use and interanimal variability. The findings guide the rational design for developing optimal LNPs for cancer therapies targeting specific TME components.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты