Shotgun metagenomic analysis of the oral microbiomes of children with noma reveals a novel disease-associated organism
Abstract
Noma is a rapidly progressive orofacial gangrene that predominantly affects children living in extreme poverty. Despite its documentation since antiquity and its designation as a World Health Organisation Neglected Tropical Disease in 2023, the microbiological cause of noma remains poorly understood, with no specific organisms confidently identified as definitive aetiological agents. Here, we present the first deep shotgun metagenomic profiling of oral saliva microbiomes from 19 Nigerian children with acute noma. Our analyses reveal marked microbial dysbiosis in noma microbiomes, with machine learning and multivariate statistical analyses indicating significant enrichment ofTreponema,Porphyromonas, andBacteroides, alongside depletion ofStreptococcusandRothia, as key microbial signatures of noma disease. From the dataset we recovered 40 high-qualityTreponemametagenome-assembled genomes (MAGs) spanning 19 species, 14 of which were novel. Notably, a novel species designatedTreponemasp. A was detected in 15 of the 19 noma participants and was entirely absent from global healthy saliva metagenomes. Re-analysis of previously published 16S rRNA datasets from children with noma in Niger also revealedTreponemasp. A to be highly prevalent in noma cases but rare in controls. This study identifiesTreponema—particularlyTreponemasp. A—as a strong candidate organism associated with noma pathogenesis. Additionally, analysis of antimicrobial resistance determinants detected in noma metagenomes revealed concerning levels of resistance to antibiotics commonly used in noma treatment, particularly β-lactams and metronidazole, especially amongPrevotellaspecies. These findings provide the first high-resolution microbial framework for noma and offer a foundation for future research into its pathogenesis and the development of novel diagnostics, therapeutics, and preventive strategies in endemic settings.
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