Proteomic characterization of outer membrane vesicles from gut mucosa-derived fusobacterium nucleatum.


Journal

Journal of proteomics
ISSN: 1876-7737
Titre abrégé: J Proteomics
Pays: Netherlands
ID NLM: 101475056

Informations de publication

Date de publication:
20 03 2019
Historique:
received: 28 08 2018
revised: 28 11 2018
accepted: 26 12 2018
pubmed: 12 1 2019
medline: 29 5 2020
entrez: 12 1 2019
Statut: ppublish

Résumé

Fusobacterium nucleatum is a Gram-negative bacterium commonly found in the oral cavity and is often involved in periodontal diseases. Recent studies have shown increased F. nucleatum prevalence in colorectal cancer (CRC) tissues, and causal data has linked this bacterium to CRC tumorigenesis. Immune-based approaches to contain, reduce or eradicate its gut colonization may prevent CRC. Outer membrane vesicles (OMVs) are naturally produced by Gram-negative bacteria, typically contain multiple putative virulence factors and may elicit protective immune responses if used as vaccines. Here, OMVs were isolated from F. nucleatum cultures and purified using gradient centrifugation. Proteins contained within the OMVs were identified by nano LC/MS/MS analysis. Of 98 proteins consistently identified from duplicate analyses, 60 were predicted to localize to the outer membrane or periplasm via signal peptide driven translocation. Of these, six autotransporter proteins, which constitute the majority of protein mass of OMVs, were associated with Type V secretion system. In addition, other putative virulence factor proteins with functional domains, including FadA, MORN2 and YadA-like domain, were identified with multiple exposed epitope sites as determined by in silico analysis. Altogether, the non-replicative OMVs of F. nucleatum contain multiple antigenic virulence factors that may play important roles in the design and development of vaccines against F. nucleatum. SIGNIFICANCE: Fusobacterium nulceatum has been proved playing significant role in colorectal carcinogenesis. Outer membrane vesicles are nanoparticles that naturally secreted by Gram-negative bacterial containing various antigenic components, which provides new insight in vaccine development. Understanding the constituents of F. nucleatum OMVs will provide fundamental information and potential strategies for OMV-based F. nucleatum vaccines design. Based on our knowledge this is the first proteomic study of OMVs from F. nucleatum.

Identifiants

pubmed: 30634002
pii: S1874-3919(18)30458-5
doi: 10.1016/j.jprot.2018.12.029
pii:
doi:

Substances chimiques

Bacterial Proteins 0
Bacterial Vaccines 0
Virulence Factors 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

125-137

Subventions

Organisme : NIH HHS
ID : S10 OD017992
Pays : United States

Commentaires et corrections

Type : ErratumIn

Informations de copyright

Copyright © 2018. Published by Elsevier B.V.

Auteurs

Jinjing Liu (J)

Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, United States.

Ching-Lin Hsieh (CL)

Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, United States.

Ozkan Gelincik (O)

Departments of Medicine and Genetic Medicine, Weill Cornell Medicine, 10021, NY, USA.

Bryan Devolder (B)

Departments of Medicine and Genetic Medicine, Weill Cornell Medicine, 10021, NY, USA.

Shizuko Sei (S)

Chemopreventive Agent Development Research Group, Division of Cancer Prevention, National Cancer Institute, Bethesda, MD, USA.

Sheng Zhang (S)

Proteomics and Mass Spectrometry Core Facility, Cornell University, Ithaca, NY 14853, United States.

Steven M Lipkin (SM)

Departments of Medicine and Genetic Medicine, Weill Cornell Medicine, 10021, NY, USA. Electronic address: stl2012@med.cornell.edu.

Yung-Fu Chang (YF)

Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, United States. Electronic address: yc42@cornell.edu.

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Classifications MeSH