The Adenoid Microbiome in Recurrent Acute Otitis Media and Obstructive Sleep Apnea

Dirain, Carolyn O.; Silva, Rodrigo da; Collins, William O.; Antonelli, Patrick J.

doi:10.5152/iao.2017.4203

Cited by 15 publications

(13 citation statements)

References 35 publications

(52 reference statements)

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“…A prior study children with recurrent AOM found Alloiococcus , Staphylococcus sp. and Turicella were most abundant in the ME (Lappan et al, 2018), whereas adenoids microbiome was dominated by H. influenzae , M. catarrhalis , S. pneumoniae , P. aeruginosa , and S. aureus (Dirain et al, 2017). On the other hand, in chronic otitis media, Krueger et al reported that the Haemophilus and Moraxella were the most abundant microbiota in the ME of children (Krueger et al, 2017), whereas Liu et al reported that Pseudomonadaceae dominated in the ME, Streptococcaceae in the tonsil, and Pseudomonadaceae, Streptococcaceae, Fusobacteriaceae, and Pasteurellaceae dominated in the adenoid (Liu et al, 2011).…”

Section: Discussionmentioning

confidence: 99%

Comparative Analysis of Microbiome in Nasopharynx and Middle Ear in Young Children With Acute Otitis Media

Gill

et al. 2019

Front. Genet.

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Acute otitis media (AOM) is the most common pediatric infection for which antibiotics are prescribed in the United States. The role of the respiratory tract microbiome in pathogenesis and immune modulation of AOM remains unexplored. We sought to compare the nasopharyngeal (NP) microbiome of children 1 to 3 weeks prior to onset of AOM vs. at onset of AOM, and the NP microbiome with the microbiome in middle ear (ME). Six children age 6 to 24 months old were studied. Nasal washes (NW) were collected at healthy visits 1 to 3 weeks prior to AOM and at onset of AOM. The middle ear fluids (MEF) were collected by tympanocentesis at onset of AOM. Samples were stored in Trizol reagents or phosphate-buffered saline (PBS) at −80°C until use. The microbiome was characterized by 16S rRNA gene sequencing. Taxonomic designations and relative abundance of bacteria were determined using the RDP classifier tool through QIIME. Cumulative sum scaling normalization was applied before determining bacterial diversity and abundance. Shannon diversity index was calculated in Microsoft excel. The relative abundance of each bacteria species was compared via Mann-Whitney U test. We found that the NW microbiome of children during healthy state or at baseline was more diverse than microbiome during AOM. At AOM, no significant difference in microbiome diversity was found between NW and MEF, although some bacteria species appear to differ in MEF than in NW. The microbiome of samples stored in PBS had significant greater diversity than samples stored in Trizol reagent.

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Section: Discussionmentioning

confidence: 99%

Comparative Analysis of Microbiome in Nasopharynx and Middle Ear in Young Children With Acute Otitis Media

Gill

et al. 2019

Front. Genet.

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“…Remarkably, some pathogens have adapted to NETs, particularly H. influenzae, which can initiate NETs and tightly associate with these structures, avoiding phagocytic escape, thus resulting in chronic infection [37]. In fact, this pathogen is a leading cause of ROAM, as already reported by some studies [38,39].…”

Section: Discussionmentioning

confidence: 81%

Proteomic Study Identifies Glycolytic and Inflammation Pathways Involved in Recurrent Otitis Media

Ura

Celsi

Zupin

et al. 2020

IJMS

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Recurrent acute otitis media (RAOM) in children is clinically defined as the occurrence of at least three episodes of acute otitis media over a course of 6 months. A further common pathological condition of interest in the context of pediatric otolaryngology is adenotonsillar hypertrophy (ATH), a common cause of obstructive sleep apnea syndrome. Aimed at unraveling the differential modulation of proteins in the two pathologies and at understanding the possible pathways involved in their onset, we analyzed the proteomic profile of the adenoids from 14 RAOM and ATH patients by using two-dimensional gel electrophoresis (2-DE) and mass spectrometry (MS). The 2-DE coupled with MS allowed us to identify 23 spots with significant (p-value < 0.05) changes in protein amount, recognizing proteins involved in neutrophil degranulation and glycolysis pathways.

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“…Higher abundances of the genera Haemophilus, Fusobacterium, and Porphyromonas were found in the adenoids and tonsils of our pediatric OSA group. Haemophilus is the main pathogenic bio lm bacteria constituting the adenoid reservoir (23,24). Fusobacteria were detected at a tonsillar site in pediatric OSA patients (25) and associated with the AHI (20).…”

Section: Discussionmentioning

confidence: 99%

Changes in the upper airway microbiota in pediatric obstructive sleep apnea

Guan

et al. 2022

Preprint

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Background: A few clinical studies have demonstrated that obstructive sleep apnea (OSA) is associated with dysbiosis of the oral and nasal microbiota. However, how upper airway microbial diversity, composition, and structure are altered in pediatric OSA has not been systemically explored. Methods: In total, 30 polysomnography (PSG)-confirmed OSA patients with adenoid hypertrophy, and 30 controls who did not snore or adenoid hypertrophy, were enrolled. Swabs from four surface oral tissue sites (tongue base, soft palate, both palatine tonsils, and the adenoids) and one nasal swab from both anterior nares were collected. The 16S ribosomal RNA (rRNA) V3–V4 region was sequenced to identify the microbial communities. Results: Alpha and beta diversity were not significantly different between the pediatric OSA patients and controls at the five upper airway sites. However, the microbial profiles were significantly different among the five upper airway sites. The abundances of Haemophilus, Fusobacterium, and Porphyromonas were higher in the adenoids and tonsils of pediatric patients with OSA. Functional analysis revealed that the differential pathway between the pediatric OSA patients and controls involved amino acid metabolism and signal transduction. Conclusions: In this study, the upper airway microbiome of pediatric OSA patients only exhibited minor differences in composition compared with the controls. However, the microbiota data could be useful as a reference for studies on the upper airway microbiome or other relevant clinical phenomena.

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The Adenoid Microbiome in Recurrent Acute Otitis Media and Obstructive Sleep Apnea

Cited by 15 publications

References 35 publications

Comparative Analysis of Microbiome in Nasopharynx and Middle Ear in Young Children With Acute Otitis Media

Comparative Analysis of Microbiome in Nasopharynx and Middle Ear in Young Children With Acute Otitis Media

Proteomic Study Identifies Glycolytic and Inflammation Pathways Involved in Recurrent Otitis Media

Changes in the upper airway microbiota in pediatric obstructive sleep apnea

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