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Eagan, T. M.

Publications and source records attributed to Eagan, T. M..

2 recordsLinked to original sources

Pan-microbiome analysis along the human respiratory axis reveals an ecological continuum in health and collapse in disease

The human respiratory tract (RT) harbors complex microbial communities whose functions are critical to health and disease. Yet, current insights remain fragmented across anatomical sites, populations, and clinical states, limiting the fields ability to define common patterns in health and disease. Here, we present the first global respiratory pan-microbiome atlas, a resource integrating over 4,000 metagenomes across upper, intermediate, and lower RT from diverse cohorts encompassing health, pneumonia, COVID-19, and cystic fibrosis. Standardized taxonomic profiling reveals marked biogeographic structure: in health, lower RT communities largely represent filtered subsets of upper RT microbiota. Respiratory disease disrupts this organization, with reproducible depletion of core taxa at specific locations such as Rothia mucilaginosa and Fusobacterium pseudoperiodonticum, the latter being present in 88% of healthy sputum samples. Source-tracking analyses further support the collapse of inter-compartmental connectivity in disease and show the emergence of invasive taxa of unclear origin. Finally, prevalence-based models outperform abundance-based models in detecting disease-associated disruptions, providing greater sensitivity to shifts in community stability. Altogether, this atlas defines the healthy RT microbiome as a spatially structured ecosystem and provides a foundational reference for advancing personalized care and systems-level models of respiratory disease.

bioinformatics↗

The respiratory virome and exacerbations in patients with chronic obstructive pulmonary disease

IntroductionExacerbations are major contributors to morbidity and mortality in patients with chronic obstructive pulmonary disease (COPD), and respiratory bacterial and viral infections are an important trigger for the occurrence of such exacerbations. However, using conventional diagnostic techniques, a causative agent is not always found. Metagenomic next-generation sequencing (mNGS) allows analysis of the complete virome, but has not yet been applied in COPD exacerbations.\n\nObjectivesTo study the respiratory virome in nasopharyngeal samples during COPD exacerbations using mNGS.\n\nStudy design88 nasopharyngeal swabs from 63 patients from the Bergen COPD Exacerbation Study (2006-2010) were analysed by mNGS and in-house qPCR for respiratory viruses. Both DNA and RNA were sequenced simultaneously using an lllumina library preparation protocol with in-house adaptations.\n\nResultsBy mNGS, 23/88 samples tested positive. Sensitivity and specificity were both 96% for diagnostic targets (23/24 and 1067/1120, respectively). Viral pathogens only detected by mNGS were herpes simplex virus type 1 and coronavirus OC43. A positive correlation was found between Cq value and mNGS viral species reads (p=0.008). Patients with viral pathogens had lower percentages of bacteriophages (p<0.000). No correlation was found between viral reads (species and genus level) and clinical markers.\n\nConclusionsThe mNGS protocol used was highly sensitive and specific for semi-quantitative detection of respiratory viruses. Excellent negative predictive value implicates the power of mNGS to exclude any infectious cause in one test, with consequences for clinical decision making. Reduced abundance of bacteriophages in COPD patients with viral pathogens implicates skewing of the virome, and speculatively the bacterial population, during infection.

microbiology↗