Real-time application of ITS and D1-D3 nanopore amplicon metagenomic sequencing in fungal infections: Enhancing fungal infection diagnostics

Autor: Seondeuk Kim, Narae Kim, Wan Beom Park, Chang Kyung Kang, Jae Hyeon Park, Soon-Tae Lee, Keun-Hwa Jung, Kyung-Il Park, Sang Kun Lee, Jangsup Moon, Kon Chu
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: International Journal of Medical Microbiology, Vol 316, Iss , Pp 151630- (2024)
Druh dokumentu: article
ISSN: 1438-4221
DOI: 10.1016/j.ijmm.2024.151630
Popis: While fungal infections cause considerable morbidity and mortality, the performance of the current diagnostic tests for fungal infection is low. Even though fungal metagenomics or targeted next-generation sequencing have been investigated for various clinical samples, the real-time clinical utility of these methods still needs to be elucidated. In this study, we used internal transcribed spacer (ITS) and D1-D3 ribosomal DNA nanopore amplicon metagenomic sequencing to assess its utility in patients with fungal infections. Eighty-four samples from seventy-three patients were included and categorized into ‘Fungal infection,’ ‘Fungal colonization,’ and ‘Fungal contamination’ groups based on the judgement of infectious disease specialists. In the ‘Fungal infection’ group, forty-seven initial samples were obtained from forty-seven patients. Three fungal cases detected not by the sequencing but by conventional fungal assays were excluded from the analysis. In the remaining cases, the conventional fungal assay-negative/sequencing-positive group (n=11) and conventional fungal assay-positive/sequencing-positive group (n=33) were compared. Non-Candida and non-Aspergillus fungi infections were more frequent in the conventional-negative/sequencing-positive group (p-value = 0.031). We demonstrated the presence of rare human pathogens, such as Trichosporon asahii and Phycomyces blakesleeanus. In the ‘Fungal infection’ group and ‘Fungal colonization’ group, sequencing was faster than culturing (mean difference = 4.92 days, p-value < 0.001/ mean difference = 4.67, p-value
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