Literature DB >> 26218117

Significance of surface charge and shell material of superparamagnetic iron oxide nanoparticle (SPION) based core/shell nanoparticles on the composition of the protein corona.

Usawadee Sakulkhu1, Morteza Mahmoudi, Lionel Maurizi, Geraldine Coullerez, Margarethe Hofmann-Amtenbrink, Marcel Vries, Mahdi Motazacker, Farhad Rezaee, Heinrich Hofmann.   

Abstract

As nanoparticles (NPs) are increasingly used in many applications their safety and efficient applications in nanomedicine have become concerns. Protein coronas on nanomaterials' surfaces can influence how the cell "recognizes" nanoparticles, as well as the in vitro and in vivo NPs' behaviors. The SuperParamagnetic Iron Oxide Nanoparticle (SPION) is one of the most prominent agents because of its superparamagnetic properties, which is useful for separation applications. To mimic surface properties of different types of NPs, a core-shell SPION library was prepared by coating with different surfaces: polyvinyl alcohol polymer (PVA) (positive, neutral and negative), SiO2 (positive and negative), titanium dioxide and metal gold. The SPIONs with different surfaces were incubated at a fixed serum : nanoparticle surface ratio, magnetically trapped and washed. The tightly bound proteins were quantified and identified. The surface charge has a great impact on protein adsorption, especially on PVA and silica where proteins preferred binding to the neutral and positively charged surfaces. The importance of surface material on protein adsorption was also revealed by preferential binding on TiO2 and gold coated SPION, even negatively charged. There is no correlation between the protein net charge and the nanoparticle surface charge on protein binding, nor direct correlation between the serum proteins' concentration and the proteins detected in the coronas.

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Year:  2014        PMID: 26218117     DOI: 10.1039/c4bm00264d

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


  21 in total

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Authors:  Hamed Arami; Amit Khandhar; Denny Liggitt; Kannan M Krishnan
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2.  Determining the Effective Density and Stabilizer Layer Thickness of Sterically Stabilized Nanoparticles.

Authors:  Bernice Akpinar; Lee A Fielding; Victoria J Cunningham; Yin Ning; Oleksandr O Mykhaylyk; Patrick W Fowler; Steven P Armes
Journal:  Macromolecules       Date:  2016-07-07       Impact factor: 5.985

3.  Modification of the surface of superparamagnetic iron oxide nanoparticles to enable their safe application in humans.

Authors:  Cindy Strehl; Lionel Maurizi; Timo Gaber; Paula Hoff; Thomas Broschard; A Robin Poole; Heinrich Hofmann; Frank Buttgereit
Journal:  Int J Nanomedicine       Date:  2016-11-08

4.  The interaction of fluorescent nanodiamond probes with cellular media.

Authors:  Simon R Hemelaar; Andreas Nagl; François Bigot; Melissa M Rodríguez-García; Marcel P de Vries; Mayeul Chipaux; Romana Schirhagl
Journal:  Mikrochim Acta       Date:  2017-01-27       Impact factor: 5.833

5.  Plasma protein adsorption on Fe3O4-PEG nanoparticles activates the complement system and induces an inflammatory response.

Authors:  V Escamilla-Rivera; A Solorio-Rodríguez; M Uribe-Ramírez; O Lozano; S Lucas; A Chagolla-López; R Winkler; A De Vizcaya-Ruiz
Journal:  Int J Nanomedicine       Date:  2019-03-25

6.  Nanodiamond for Sample Preparation in Proteomics.

Authors:  Felipe Perona Martinez; Andreas Nagl; Sona Guluzade; Romana Schirhagl
Journal:  Anal Chem       Date:  2019-07-23       Impact factor: 6.986

7.  Targeted SPION siderophore conjugate loaded with doxorubicin as a theranostic agent for imaging and treatment of colon carcinoma.

Authors:  Rahim Nosrati; Khalil Abnous; Mona Alibolandi; Jafar Mosafer; Sadegh Dehghani; Seyed Mohammad Taghdisi; Mohammad Ramezani
Journal:  Sci Rep       Date:  2021-06-22       Impact factor: 4.379

Review 8.  Chemical Conjugation Strategies for the Development of Protein-Based Subunit Nanovaccines.

Authors:  Lantian Lu; Viet Tram Duong; Ahmed O Shalash; Mariusz Skwarczynski; Istvan Toth
Journal:  Vaccines (Basel)       Date:  2021-05-28

9.  Machine learning predicts the functional composition of the protein corona and the cellular recognition of nanoparticles.

Authors:  Zhan Ban; Peng Yuan; Fubo Yu; Ting Peng; Qixing Zhou; Xiangang Hu
Journal:  Proc Natl Acad Sci U S A       Date:  2020-04-24       Impact factor: 11.205

10.  Molecular Imaging of a New Multimodal Microbubble for Adhesion Molecule Targeting.

Authors:  Mona Ahmed; Björn Gustafsson; Silvia Aldi; Philip Dusart; Gabriella Egri; Lynn M Butler; Dianna Bone; Lars Dähne; Ulf Hedin; Kenneth Caidahl
Journal:  Cell Mol Bioeng       Date:  2018-11-28       Impact factor: 2.321

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