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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
Published on: October 15, 2019
Identification of host-microbiome interactions in nasal diseases using multiomics integration
1Department of Otorhinolaryngology Head and Neck Surgery, Tianjin First Central Hospital, Institute of Otolaryngology of Tianjin, Key Laboratory of Auditory Speech and Balance Medicine, Key Medical Discipline of Tianjin (Otolaryngology), Quality Control Centre of Otolaryngology, Tianjin, China.
Background:
Nasal dysbiosis is implicated in the pathogenesis of nasal diseases, yet microbiome-host interplay remains poorly understood.
Methodology:
We conducted a cross-sectional analysis comparing 43 CRSwNP patients, 27 NIP patients, and 34 controls using dual 5R 16S rRNA sequencing and host transcriptomics to characterize microbiome profiles and host-microbial interactions.
Results:
Distinct microbiome patterns were identified in CRSwNP and NIP mucosal microenvironments. Host-microbiome interaction analysis revealed both shared and disease-specific associations. Common to both disorders were immune-related pathway enrichments, while CRSwNP uniquely demonstrated microbial recognition/immune activation links and NIP showed predominant proliferative pathway correlations. Notably, Bayesian network analysis identified Geobacillus stearothermophilus abundance as significantly associated with NF-kB pathway activation in nasal polyps - a finding subsequently experimentally validated.
Conclusion:
Our findings delineate disease-specific microbiome-host interplay in nasal pathologies, with CRSwNP exhibiting immune-focused interactions versus NIP's proliferative associations. These insights advance our understanding of nasal disease mechanisms and support the development of targeted microbiome-modulating therapies.
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