Results 71 to 80 of about 180,216 (329)

Lipid Nanoparticles for the Delivery of CRISPR/Cas9 Machinery to Enable Site‐Specific Integration of CFTR and Mutation‐Agnostic Disease Rescue

Advanced Functional Materials, EarlyView.
Lipid nanoparticles (LNPs) are optimized to co‐deliver Cas9‐encoding messenger RNA (mRNA), a single guide RNA (sgRNA) targeting the endogenous cystic fibrosis transmembrane conductance regulator (CFTR) gene, and homologous linear double‐stranded donor DNA (ldsDNA) templates encoding CFTR.
Ruth A. Foley, Paul G. Ayoub, Vrishti Sinha, Colin Juett, Alicia Sanoyca, Emily C. Duggan, Lindsay E. Lathrop, Priyanka Bhatt, Kevin Coote, Beate Illek, Brigitte N. Gomperts, Donald B. Kohn, Steven J. Jonas   +12 more
wiley   +1 more source

Enhanced permeability of blood–brain barrier and targeting function of brain via borneol-modified chemically solid lipid nanoparticle

International Journal of Nanomedicine, 2018
Hui Song, Man Wei, Nan Zhang, He Li, Xiaochuan Tan, Yujia Zhang, Wensheng Zheng Beijing Key Laboratory of Drug Delivery Technology and Novel Formulation, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College ...
Song H, Wei M, Zhang N, Li H, Tan XC, Zhang YJ, Zheng WS   +6 more
doaj  

Formulation and Characterization of Phytostanol Ester Solid Lipid Nanoparticles for the Management of Hypercholesterolemia: An ex vivo Study

International Journal of Nanomedicine, 2021
Sony Chandi Shrestha,1,2 Kebreab Ghebremeskel,1 Kenneth White,1 Caterina Minelli,2 Ihab Tewfik,3 Panna Thapa,4 Sundus Tewfik5 1School of Human Sciences, London Metropolitan University, London, UK; 2Surface Technology, National Physical Laboratory, London,
Shrestha SC, Ghebremeskel K, White K, Minelli C, Tewfik I, Thapa P, Tewfik S   +6 more
doaj  

Anticancer Effects of Resveratrol-Loaded Solid Lipid Nanoparticles on Human Breast Cancer Cells

Molecules, 2017
In this study, resveratrol-loaded solid lipid nanoparticles (Res-SLNs) were successfully designed to treat MDA-MB-231 cells. The Res-SLNs were prepared using emulsification and low-temperature solidification method.
Wenrui Wang, Lingyu Zhang, Tiantian Chen, Wen Guo, Xunxia Bao, Dandan Wang, Baihui Ren, Haifeng Wang, Yu Li, Yueyue Wang, Sulian Chen, Baoding Tang, Qingling Yang, Changjie Chen   +13 more
doaj   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

Development and optimization of solid lipid nanoparticle formulation for ophthalmic delivery of chloramphenicol using a Box-Behnken design

International Journal of Nanomedicine, 2011
Jifu Hao1, Xinsheng Fang2, Yanfang Zhou3, Jianzhu Wang1, Fengguang Guo1, Fei Li1, Xinsheng Peng31College of Pharmacy, Taishan Medical University, Taian, PR China; 2Agronomy Department of Shandong Agriculture University, Taian, PR China; 3School of ...
Hao JF, Fang XS, Zhou YF, Wang JZ, Guo FG, Li F, Peng XS   +6 more
doaj  

Formulation of the novel structure curcumin derivative–loaded solid lipid nanoparticles: synthesis, optimization, characterization and anti-tumor activity screening in vitro

Drug Delivery, 2022
This study investigated the effect of structural modification of Curcumin (CU) combined with the solid lipid nanoparticles (SLN) drug delivery system on anti-tumor activity in vitro.
Ke Li, Chao Pi, Jie Wen, Yingmeng He, Jiyuan Yuan, Hongping Shen, Wenmei Zhao, Mingtang Zeng, Xinjie Song, Robert J. Lee, Yumeng Wei, Ling Zhao   +11 more
doaj   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

An Open-Label, Multicenter, Phase I, Dose Escalation Study with Phase II Expansion Cohort to Determine the Safety, Pharmacokinetics, and Preliminary Antitumor Activity of Intravenous TKM-080301 in Subjects with Advanced Hepatocellular Carcinoma. [PDF]

, 2019
Lessons learnedTKM-080301 showed a favorable toxicity profile at the studied dose.TKM-080301 targeting PLK1 through small interfering RNA mechanism did not demonstrate improved overall survival in patients with advanced hepatocellular carcinoma compared ...
Abou-Alfa, Ghassan K, Brown, Joanne, Chao, Tsu-Yi, Choi, Hye Jin, El Dika, Imane, Freilich, Bradley, Kelley, Robin K, Knox, Jennifer, Lim, Ho Yeong, Lin, Chia-Chi, Modiano, Manuel, Ryoo, Baek-Yeol, Yau, Thomas, Yong, Wei Peng, Yoon, Jung-Hwan   +14 more
core   +2 more sources

Shaping Ti3C2 MXene Nanospheres for Precision Near‐Infrared Photothermal Therapy

Advanced Functional Materials, EarlyView.
In this study, we report producing spherical MXenes via fs laser fragmentation of Ti3C2 flakes in liquid medium. The nanoparticles demonstrated pronounced light absorption and high photothermal conversion efficiencies of 68% and 63% under heating with NIR‐I and NIR‐II lasers, respectively.
Julia S. Babkova, Ivan V. Zelepukin, Konstantin G. Shevchenko, Gleb V. Tikhonowski, Lyubov V. Gorelik, Anton A. Popov, Anna S. Sogomonyan, Alina Yu. Kapitannikova, Ivan S. Kazantsev, Dmitry V. Dyubo, Daria A. Panova, Daniil I. Tselikov, Anton A. Minnekhanov, Aziz B. Mirkasymov, Georgy A. Ermolaev, Alexander V. Syuy, Gleb I. Tselikov, Aleksey V. Arsenin, Andrei V. Kabashin, Kostya S. Novoselov, Sergey M. Deyev, Valentyn S. Volkov   +21 more
wiley   +1 more source