Literature DB >> 32815136

Intranasal Vaccine Study Using Porphyromonas gingivalis Membrane Vesicles: Isolation Method and Application to a Mouse Model.

Satoru Hirayama1,2, Ryoma Nakao3.   

Abstract

Bacteria release spherical nanobodies, known as membrane vesicles (MVs), during various growth phases. MVs have been gaining recognition as structurally stable vehicles in the last two decades because they deliver a wide range of antigens, virulence factors, and immunomodulators to the host. These functions suggest not only the possible contribution of MVs to pathogenicity but also the potential applicability of low-dose MVs for use as vaccines. Here, we describe a series of methods for isolating MVs of Porphyromonas gingivalis, which is an important species among periodontopathic bacteria. The present chapter also introduces a mouse model of intranasal immunization using MVs from P. gingivalis.

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Keywords:  Density gradient centrifugation; Intranasal immunization; Lipid quantification; Membrane vesicles (MVs); Porphyromonas gingivalis; Ultracentrifugation

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Year:  2021        PMID: 32815136     DOI: 10.1007/978-1-0716-0939-2_15

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

1.  Glycine Induction Method: Effective Production of Immunoactive Bacterial Membrane Vesicles with Low Endotoxin Content.

Authors:  Satoru Hirayama; Ryoma Nakao
Journal:  Methods Mol Biol       Date:  2022

2.  Dual Inhibitory Activity of Petroselinic Acid Enriched in Fennel Against Porphyromonas gingivalis.

Authors:  Nanami Yoshino; Tsuyoshi Ikeda; Ryoma Nakao
Journal:  Front Microbiol       Date:  2022-05-19       Impact factor: 6.064

3.  Immunogenic Properties of MVs Containing Structural Hantaviral Proteins: An Original Study.

Authors:  Layaly Shkair; Ekaterina Evgenevna Garanina; Ekaterina Vladimirovna Martynova; Alena Igorevna Kolesnikova; Svetlana Sergeevna Arkhipova; Angelina Andreevna Titova; Albert Anatolevich Rizvanov; Svetlana Francevna Khaiboullina
Journal:  Pharmaceutics       Date:  2022-01-01       Impact factor: 6.321

  3 in total

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