Literature DB >> 28248078

Receptor-Mediated Surface Charge Inversion Platform Based on Porous Silicon Nanoparticles for Efficient Cancer Cell Recognition and Combination Therapy.

Feng Zhang1, Alexandra Correia1, Ermei Mäkilä2, Wei Li1, Jarno Salonen2, Jouni J Hirvonen1, Hongbo Zhang1, Hélder A Santos1.   

Abstract

Negatively charged surface-modified drug delivery systems are promising for in vivo applications as they have more tendency to accumulate in tumor tissues. However, the inefficient cell uptake of these systems restricts their final therapeutic performance. Here, we have fabricated a receptor-mediated surface charge inversion nanoparticle made of undecylenic acid modified, thermally hydrocarbonized porous silicon (UnTHCPSi) nanoparticles core and sequentially modified with polyethylenimine (PEI), methotrexate (MTX), and DNA aptamer AS1411 (herein termed as UnTHCPSi-PEI-MTX@AS1411) for enhancing the cell uptake of nucleolin-positive cells. The efficient interaction of AS1411 and the relevant receptor nucleolin caused the disintegration of the negative-charged AS1411 surface. The subsequent surface charge inversion and exposure of the active targeting ligand, MTX, enhanced the cell uptake of the nanoparticles. On the basis of this synergistic effect, the UnTHCPSi-PEI-MTX@AS1411 (hydrodynamic diameter is 242 nm) were efficiently internalized by nucleolin-positive MDA-MB-231 breast cancer cells, with an efficiency around 5.8 times higher than that of nucleolin-negative cells (NIH 3T3 fibroblasts). The receptor competition assay demonstrated that the major mechanism (more than one-half) of the internalized nanoparticles in MDA-MB-231 cells was due to the receptor-mediated surface charge inversion process. Finally, after loading of sorafenib, the nanosystem showed efficient performance for combination therapy with an inhibition ratio of 35.6%.

Entities:  

Keywords:  combination therapy; drug delivery; selective cell recognition; surface charge inversion; targeting

Mesh:

Substances:

Year:  2017        PMID: 28248078     DOI: 10.1021/acsami.7b02196

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  6 in total

1.  Preparation and Characterization of Dentin Phosphophoryn-Derived Peptide-Functionalized Lignin Nanoparticles for Enhanced Cellular Uptake.

Authors:  Patrícia Figueiredo; Mika H Sipponen; Kalle Lintinen; Alexandra Correia; Alexandros Kiriazis; Jari Yli-Kauhaluoma; Monika Österberg; Anne George; Jouni Hirvonen; Mauri A Kostiainen; Hélder A Santos
Journal:  Small       Date:  2019-05-06       Impact factor: 13.281

2.  AS1411 aptamer modified carbon dots via polyethylenimine-assisted strategy for efficient targeted cancer cell imaging.

Authors:  Tingting Kong; Ronghui Zhou; Yujun Zhang; Liying Hao; Xiaoxiao Cai; Bofeng Zhu
Journal:  Cell Prolif       Date:  2019-11-05       Impact factor: 6.831

3.  Multistage signal-interactive nanoparticles improve tumor targeting through efficient nanoparticle-cell communications.

Authors:  Feng Zhang; Yiran Zhang; Li Kong; Huanhuan Luo; Yuezhou Zhang; Ermei Mäkilä; Jarno Salonen; Jouni T Hirvonen; Yueqi Zhu; Yingsheng Cheng; Lianfu Deng; Hongbo Zhang; Alexander Kros; Wenguo Cui; Hélder A Santos
Journal:  Cell Rep       Date:  2021-05-25       Impact factor: 9.423

Review 4.  Recent Developments in Porous Silicon Nanovectors with Various Imaging Modalities in the Framework of Theranostics.

Authors:  Jing Qian; Huang Wen; Konstantin Tamarov; Wujun Xu; Vesa-Pekka Lehto
Journal:  ChemMedChem       Date:  2022-03-18       Impact factor: 3.540

Review 5.  Application of active targeting nanoparticle delivery system for chemotherapeutic drugs and traditional/herbal medicines in cancer therapy: a systematic review.

Authors:  Nadda Muhamad; Tullayakorn Plengsuriyakarn; Kesara Na-Bangchang
Journal:  Int J Nanomedicine       Date:  2018-07-04

6.  An ultrasensitive hybridization chain reaction-amplified CRISPR-Cas12a aptasensor for extracellular vesicle surface protein quantification.

Authors:  Shan Xing; Zedong Lu; Qi Huang; Huilan Li; Yu Wang; Yanzhen Lai; Yi He; Min Deng; Wanli Liu
Journal:  Theranostics       Date:  2020-08-13       Impact factor: 11.556

  6 in total

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