Defining the microbiome of the head and neck: A contemporary review.

Dysbiosis External ear Head and neck Larynx Microbiology Microbiome Middle ear Nasopharynx Otolaryngology Sinus Tonsil

Journal

American journal of otolaryngology
ISSN: 1532-818X
Titre abrégé: Am J Otolaryngol
Pays: United States
ID NLM: 8000029

Informations de publication

Date de publication:
Historique:
received: 03 08 2021
accepted: 06 09 2021
pubmed: 19 9 2021
medline: 1 2 2022
entrez: 18 9 2021
Statut: ppublish

Résumé

The purpose of this paper is to define the microbiome of the head and neck by characterizing and distinguishing the commensal bacteria from pathogenic species. Literature review. Pubmed and Google scholar databases were queried for relevant articles. Keywords such as "middle ear microbiome", "outer ear microbiome", "sinonasal microbiome", "tonsil microbiome", and "laryngeal microbiome" were utilized separately to identify articles pertaining to each topic of study. All applicable abstracts were chosen for initial review and relevant abstracts were then selected for review of the full texts. Articles that did not study the human microbiome, those not written primarily in English, those that were not readily available for full review, and case reports were excluded from the study. Limited studies that investigate the microbial environments of isolated anatomic subsites in the head and neck exist, however the comprehensive microbiome of the head and neck has yet to be completely defined. Based on this review, various studies of the ears, larynx, tonsils and sinus microbiomes exist and yield valuable information, however they are limited in scope and anatomic subsite. In this literature review, these studies are compiled in order to create a comprehensive text inclusive of the known microbial elements of the major anatomic subsites of the head and neck, namely the tonsils, larynx, sinus, outer ear and middle ear. The significance of the human microbiome in identifying and preventing disease has been established in various physiologic systems, however there is limited research on the microbiome of the head and neck. Understanding the microbiome of the head and neck can help differentiate disease-prone patients from normal patients and guide treatment regimens and antibiotic usage, to aid in resistance control and limit adverse effects of antibiotic overuse. Understanding the elements that lead to dysbiosis can help treat and even prevent common conditions as tonsillitis and rhinosinusitis. In this review, we provide a comprehensive review to serve as an initial background for future studies to define the head and neck microbiome distinguished by all relevant subsites.

Identifiants

pubmed: 34536920
pii: S0196-0709(21)00325-2
doi: 10.1016/j.amjoto.2021.103224
pii:
doi:

Substances chimiques

Anti-Bacterial Agents 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

103224

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Ruwaa Samarrai (R)

University of Connecticut Health Center Department of Otolaryngology-Head and Neck Surgery, United States of America. Electronic address: samarrai@uchc.edu.

Samantha Frank (S)

University of Connecticut Health Center Department of Otolaryngology-Head and Neck Surgery, United States of America. Electronic address: sfrank@uchc.edu.

Avery Lum (A)

University of Connecticut Health Center Department of Otolaryngology-Head and Neck Surgery, United States of America. Electronic address: alum@hamilton.edu.

Kristina Woodis (K)

University of Connecticut Health Center Department of Otolaryngology-Head and Neck Surgery, United States of America. Electronic address: kwoodis@elon.edu.

George Weinstock (G)

University of Connecticut Health Center: The Jackson Laboratory for Genomic Medicine, United States of America. Electronic address: george.weinstock@jax.org.

Daniel Roberts (D)

University of Connecticut Health Center Department of Otolaryngology-Head and Neck Surgery, United States of America. Electronic address: droberts@uchc.edu.

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Classifications MeSH