Literature DB >> 29300052

Exploiting the pliability and lateral mobility of Pickering emulsion for enhanced vaccination.

Yufei Xia1,2, Jie Wu1,3, Wei Wei1, Yiqun Du1, Tao Wan4, Xiaowei Ma5, Wenqi An5, Aiying Guo5, Chunyu Miao1, Hua Yue1, Shuoguo Li6, Xuetao Cao4, Zhiguo Su1,3,7, Guanghui Ma1,3,7.   

Abstract

A major challenge in vaccine formulations is the stimulation of both the humoral and cellular immune response for well-defined antigens with high efficacy and safety. Adjuvant research has focused on developing particulate carriers to model the sizes, shapes and compositions of microbes or diseased cells, but not antigen fluidity and pliability. Here, we develop Pickering emulsions-that is, particle-stabilized emulsions that retain the force-dependent deformability and lateral mobility of presented antigens while displaying high biosafety and antigen-loading capabilities. Compared with solid particles and conventional surfactant-stabilized emulsions, the optimized Pickering emulsions enhance the recruitment, antigen uptake and activation of antigen-presenting cells, potently stimulating both humoral and cellular adaptive responses, and thus increasing the survival of mice upon lethal challenge. The pliability and lateral mobility of antigen-loaded Pickering emulsions may provide a facile, effective, safe and broadly applicable strategy to enhance adaptive immunity against infections and diseases.

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Year:  2018        PMID: 29300052     DOI: 10.1038/nmat5057

Source DB:  PubMed          Journal:  Nat Mater        ISSN: 1476-1122            Impact factor:   43.841


  45 in total

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  18 in total

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4.  Enantiomer-dependent immunological response to chiral nanoparticles.

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5.  Multiscale and Multifunctional Emulsions by Host-Guest Interaction-Mediated Self-Assembly.

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6.  O/W Nanoemulsion as an Adjuvant for an Inactivated H3N2 Influenza Vaccine: Based on Particle Properties and Mode of Carrying.

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Review 10.  Pickering Emulsions: Versatility of Colloidal Particles and Recent Applications.

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Journal:  Curr Opin Colloid Interface Sci       Date:  2020-05-08       Impact factor: 6.448

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