Xu, L.Chen, R.Wang, X.Liu, D.Liu, Y.Zhao, C.-X.2025-07-212025-07-212025Advanced healthcare materials, 2025; 2501914-1-2501914-142192-26402192-2659https://hdl.handle.net/2440/146172Published online: OnlinePublLipid 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.en© 2024 The Author(s). Advanced Healthcare Materials published by Wiley-VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.DNA barcodingdrug deliverydrug loadinglipid nanoparticlestumor microenvironmentJournal article10.1002/adhm.202501914743307Xu, L. [0000-0002-0449-8382]Chen, R. [0000-0003-4671-4538]Wang, X. [0000-0001-9166-5443]Liu, Y. [0000-0003-1320-139X]