2017
DOI: 10.1097/inf.0000000000001493
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Relationship of the Middle Ear Effusion Microbiome to Secretory Mucin Production in Pediatric Patients With Chronic Otitis Media

Abstract: The microbiome of MEEs from children with chronic otitis media differs according to specific clinical features, such as mucin content, age and presence of hearing loss. These associations provide novel pathophysiologic insights across the spectrum of otitis media progression.

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Cited by 28 publications
(42 citation statements)
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“…There may be several contributory factors. Lim et al (Lim et al, 1979) found that neutrophils predominated in COME effusions that had culturable pathogenic bacteria whereas lymphocytes were prominent in culture negative effusions and furthermore, variation in effusion microbiome had an impact on mucin content (Krueger et al, 2017). We did not collect sample microbiome data that would allow us to evaluate this possibility.…”
Section: Differences In Immune Cell Profiles In Mucoid and Serous Comementioning
confidence: 93%
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“…There may be several contributory factors. Lim et al (Lim et al, 1979) found that neutrophils predominated in COME effusions that had culturable pathogenic bacteria whereas lymphocytes were prominent in culture negative effusions and furthermore, variation in effusion microbiome had an impact on mucin content (Krueger et al, 2017). We did not collect sample microbiome data that would allow us to evaluate this possibility.…”
Section: Differences In Immune Cell Profiles In Mucoid and Serous Comementioning
confidence: 93%
“…A previous genetic association study found that polymorphism in the TLR4 receptor is a risk factor for childhood COME (although this finding was not replicated) (Hafren et al, 2015), and a Tlr deficient mouse exhibits altered immune response to bacterial challenge of the middle ear (Tyrer et al, 2013). Microbiome analysis of human COME samples (Liu et al, 2011;Jervis-Bardy et al, 2015;Chan et al, 2016;Krueger et al, 2017) shows the presence of diverse bacterial communities that are a potential stimulus for TLR activation along with ongoing host tissue damage. Targeting induction of TLR pathways, for example through administration of anti-microbials, specific antibodies or proteases (Piccinini and Midwood, 2010), are logical strategies to counteract this effect.…”
Section: Upregulation Of Other Inflammatory Network In Comementioning
confidence: 99%
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“…In the microbiota of MEF, Alloiococcus appears to be one of the dominant genera (Jervis- Bardy et al, 2015;Chan et al, 2016Chan et al, , 2017bBoers et al, 2018;Lappan et al, 2018;Val et al, 2018;Johnston et al, 2019). Turicella is less often reported, but has been identified as a member of the MEF microbiota in 8 of the 12 MEF microbiota studies reported in Table 3 (Jervis- Bardy et al, 2015;Krueger et al, 2017;Minami et al, 2017;Sillanpää et al, 2017;Boers et al, 2018;Lappan et al, 2018;Val et al, 2018;Johnston et al, 2019). However, due to the compositional nature of microbiome data it remains difficult to interpret which organisms are more abundant than others.…”
Section: Detection Of a Otitidis And T Otitidis In Mef Has Increasementioning
confidence: 99%