The nasopharyngeal microbiome is a central regulator of respiratory health. The upper airway microbial community acts as the primary gatekeeper against respiratory pathogens and maintains homeostasis in the upper respiratory tract (URT). This community is established at birth and influenced by the delivery method and antibiotic exposure. Disruptions to this balance are recognised as a major driver of chronic inflammatory ear, nose, and throat (ENT) diseases. This review analyses the literature on the relationship between the nasopharyngeal microbiome and inflammatory ENT diseases. We searched recent literature (2015-2025) via PubMed and Scopus, focusing on 16S rRNA and metagenomic studies of the upper respiratory tract. We examined papers that linked microbial shifts to clinical outcomes in otitis media, rhinosinusitis, and allergic rhinitis, as well as studies applying machine learning to diagnostic modelling. Clinical health is associated with stable colonisation by Dolosigranulum and Corynebacterium. These commensals protect the host by maintaining the mucosal barrier and competing against pathogens. Chronic disease, in contrast, is marked by a bloom of Streptococcus, Haemophilus, or Moraxella. In chronic rhinosinusitis, loss of bacterial diversity and S. aureus biofilm formation often lead to treatment failure. Machine learning tools like Random Forest and XGBoost classifiers have been applied to nasopharyngeal microbiome data. In published cohorts, these models have achieved sensitivity and specificity values of 80-90% for identifying dysbiotic profiles associated with disease, outperforming standard culture in speed and taxonomic resolution. These findings support a shift from broad antibiotic use toward microbiome-informed treatment. Standardising sampling and sequencing methods remains the next necessary step.
Panagiotidi et al. (Sat,) studied this question.