Literature DB >> 31502601

Influence of size, crosslinking degree and surface structure of poly(N-vinylcaprolactam)-based microgels on their penetration into multicellular tumor spheroids.

Changchang Zhang1, Elisabeth Gau2, Wenjie Sun1, Jianzhi Zhu1, Ben Michael Schmidt2, Andrij Pich3, Xiangyang Shi1.   

Abstract

Current nanomedicine suffers from a big challenge due to the fact that most of the nanocarrier systems lack the desired tumor penetration depth, thereby limiting their clinical translation. Unlike the nanomaterials with a similar size or shape, microgels display excellent softness, fluidity and deformability, as well as stimuli-responsiveness in the tumor microenvironment. Herein, we report the synthesis of temperature-responsive poly(N-vinylcaprolactam)/oligo (ethylene glycol) acrylate/glycidyl methacrylate (PVCL/OEGA/GMA) microgels with different hydrodynamic radii (100-500 nm), crosslinking densities, 2-methoxyethyl acrylate (MEA) contents and OEGA chain lengths using a precipitation polymerization method and the investigation of the microgels in terms of their tumor penetration capability using a multicellular tumor spheroid (MCTS) model. The prepared microgels were well characterized with different techniques. We show that regardless of the size, crosslinking density, MEA content and OEGA chain length, all microgels display the desired cytocompatibility in the given concentration range. In vitro cellular uptake data reveal that similar to 2-dimensional (2-D) adherent cells, microgels with a smaller size display more enhanced cellular uptake than those having a larger size in the 3-D MCTS model. Likewise, 3-D MCTS penetration results indicate that the PVCL/OEGA/GMA microgels with the smallest radius of 100 nm exhibit the deepest penetration length. We then selected the microgels with a radius of 200 nm but with different physicochemical parameters to investigate their cellular uptake and tumor penetration behavior. Our data show that microgels with varying crosslinking densities, MEA contents and OEGA chain lengths do not have any appreciable changes in terms of their cellular uptake and penetration in the 3-D MCTS model. Our study provides new insights for the design of different microgel-based systems for further cancer theranostic applications.

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Year:  2019        PMID: 31502601     DOI: 10.1039/c9bm01132c

Source DB:  PubMed          Journal:  Biomater Sci        ISSN: 2047-4830            Impact factor:   6.843


  6 in total

1.  Intelligent design of polymer nanogels for full-process sensitized radiotherapy and dual-mode computed tomography/magnetic resonance imaging of tumors.

Authors:  Changchang Zhang; Wenzhi Tu; Xuming Chen; Bing Xu; Xin Li; Chaolei Hu; Mingwu Shen; Shaoli Song; Chunjuan Jiang; Shengyu Yao; Andrij Pich; Yong Liu; Xiangyang Shi
Journal:  Theranostics       Date:  2022-04-18       Impact factor: 11.600

Review 2.  NVCL-Based Hydrogels and Composites for Biomedical Applications: Progress in the Last Ten Years.

Authors:  Alejandra Gonzalez-Urias; Angel Licea-Claverie; J Adriana Sañudo-Barajas; Mirian A González-Ayón
Journal:  Int J Mol Sci       Date:  2022-04-25       Impact factor: 6.208

Review 3.  Design of Bio-Conjugated Hydrogels for Regenerative Medicine Applications: From Polymer Scaffold to Biomolecule Choice.

Authors:  Vittoria Chimisso; Miguel Angel Aleman Garcia; Saziye Yorulmaz Avsar; Ionel Adrian Dinu; Cornelia G Palivan
Journal:  Molecules       Date:  2020-09-07       Impact factor: 4.411

4.  Intelligent nanogels with self-adaptive responsiveness for improved tumor drug delivery and augmented chemotherapy.

Authors:  Xin Li; Helin Li; Changchang Zhang; Andrij Pich; Lingxi Xing; Xiangyang Shi
Journal:  Bioact Mater       Date:  2021-03-24

Review 5.  Rheology Applied to Microgels: Brief (Revision of the) State of the Art.

Authors:  Coro Echeverría; Carmen Mijangos
Journal:  Polymers (Basel)       Date:  2022-03-22       Impact factor: 4.329

6.  Multifunctional PVCL nanogels with redox-responsiveness enable enhanced MR imaging and ultrasound-promoted tumor chemotherapy.

Authors:  Fang Xu; Jianzhi Zhu; Lizhou Lin; Changchang Zhang; Wenjie Sun; Yu Fan; Fangfang Yin; Jan C M van Hest; Han Wang; Lianfang Du; Xiangyang Shi
Journal:  Theranostics       Date:  2020-03-15       Impact factor: 11.556

  6 in total

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