Publication:
Microbiotyping the Sinonasal Microbiome

Issued Date

2020-04-08

Resource Type

Article

ISSN

22352988

DOI

10.3389/fcimb.2020.00137

Other identifier(s)

2-s2.0-85083880451

Rights

Mahidol University

Rights Holder(s)

SCOPUS

Bibliographic Citation

Frontiers in Cellular and Infection Microbiology. Vol.10, (2020)

Suggested Citation

Ahmed Bassiouni, Sathish Paramasivan, Arron Shiffer, Matthew R. Dillon, Emily K. Cope, Clare Cooksley, Mahnaz Ramezanpour, Sophia Moraitis, Mohammad Javed Ali, Benjamin S. Bleier, Claudio Callejas, Marjolein E. Cornet, Richard G. Douglas, Daniel Dutra, Christos Georgalas, Richard J. Harvey, Peter H. Hwang, Amber U. Luong, Rodney J. Schlosser, Pongsakorn Tantilipikorn, Marc A. Tewfik, Sarah Vreugde, Peter John Wormald, J. Gregory Caporaso, Alkis J. Psaltis Microbiotyping the Sinonasal Microbiome. Frontiers in Cellular and Infection Microbiology. Vol.10, (2020). doi:10.3389/fcimb.2020.00137 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/54570

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Title

Microbiotyping the Sinonasal Microbiome

Author(s)

Ahmed Bassiouni
 Sathish Paramasivan
 Arron Shiffer
 Matthew R. Dillon
 Emily K. Cope
 Clare Cooksley
 Mahnaz Ramezanpour
 Sophia Moraitis
 Mohammad Javed Ali
 Benjamin S. Bleier
 Claudio Callejas
 Marjolein E. Cornet
 Richard G. Douglas
 Daniel Dutra
 Christos Georgalas
 Richard J. Harvey
 Peter H. Hwang
 Amber U. Luong
 Rodney J. Schlosser
 Pongsakorn Tantilipikorn
 Marc A. Tewfik
 Sarah Vreugde
 Peter John Wormald
 J. Gregory Caporaso
 Alkis J. Psaltis

Other Contributor(s)

University of Nicosia
 Pontificia Universidad Católica de Chile
 University of New South Wales (UNSW) Australia
 University of Texas Health Science Center at Houston
 Northern Arizona University
 Medical University of South Carolina
 Macquarie University
 Stanford University
 Faculty of Medicine, Siriraj Hospital, Mahidol University
 The University of Adelaide
 Universidade de Sao Paulo - USP
 University of Auckland
 Harvard Medical School
 McGill University
 Amsterdam UMC
 LV Prasad Institute

Abstract

© Copyright © 2020 Bassiouni, Paramasivan, Shiffer, Dillon, Cope, Cooksley, Ramezanpour, Moraitis, Ali, Bleier, Callejas, Cornet, Douglas, Dutra, Georgalas, Harvey, Hwang, Luong, Schlosser, Tantilipikorn, Tewfik, Vreugde, Wormald, Caporaso and Psaltis. This study offers a novel description of the sinonasal microbiome, through an unsupervised machine learning approach combining dimensionality reduction and clustering. We apply our method to the International Sinonasal Microbiome Study (ISMS) dataset of 410 sinus swab samples. We propose three main sinonasal “microbiotypes” or “states”: the first is Corynebacterium-dominated, the second is Staphylococcus-dominated, and the third dominated by the other core genera of the sinonasal microbiome (Streptococcus, Haemophilus, Moraxella, and Pseudomonas). The prevalence of the three microbiotypes studied did not differ between healthy and diseased sinuses, but differences in their distribution were evident based on geography. We also describe a potential reciprocal relationship between Corynebacterium species and Staphylococcus aureus, suggesting that a certain microbial equilibrium between various players is reached in the sinuses. We validate our approach by applying it to a separate 16S rRNA gene sequence dataset of 97 sinus swabs from a different patient cohort. Sinonasal microbiotyping may prove useful in reducing the complexity of describing sinonasal microbiota. It may drive future studies aimed at modeling microbial interactions in the sinuses and in doing so may facilitate the development of a tailored patient-specific approach to the treatment of sinus disease in the future.

Keyword(s)

Immunology and Microbiology
 Medicine

Availability

URI

https://repository.li.mahidol.ac.th/handle/20.500.14594/54570

Collections

Scopus 2020