AUTHOR=Lao Hiu-Yin , Wong Lily Lok-Yee , Hui Yan , Ng Timothy Ting-Leung , Chan Chloe Toi-Mei , Lo Hazel Wing-Hei , Yau Miranda Chong-Yee , Leung Eddie Chi-Man , Wong River Chun-Wai , Ho Alex Yat-Man , Yip Kam-Tong , Lam Jimmy Yiu-Wing , Chow Viola Chi-Ying , Luk Kristine Shik , Que Tak-Lun , Chow Franklin Wang Ngai , Siu Gilman Kit-Hang TITLE=The clinical utility of Nanopore 16S rRNA gene sequencing for direct bacterial identification in normally sterile body fluids JOURNAL=Frontiers in Microbiology VOLUME=14 YEAR=2024 URL=https://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2023.1324494 DOI=10.3389/fmicb.2023.1324494 ISSN=1664-302X ABSTRACT=

The prolonged incubation period of traditional culture methods leads to a delay in diagnosing invasive infections. Nanopore 16S rRNA gene sequencing (Nanopore 16S) offers a potential rapid diagnostic approach for directly identifying bacteria in infected body fluids. To evaluate the clinical utility of Nanopore 16S, we conducted a study involving the collection and sequencing of 128 monomicrobial samples, 65 polymicrobial samples, and 20 culture-negative body fluids. To minimize classification bias, taxonomic classification was performed using 3 analysis pipelines: Epi2me, Emu, and NanoCLUST. The result was compared to the culture references. The limit of detection of Nanopore 16S was also determined using simulated bacteremic blood samples. Among the three classifiers, Emu demonstrated the highest concordance with the culture results. It correctly identified the taxon of 125 (97.7%) of the 128 monomicrobial samples, compared to 109 (85.2%) for Epi2me and 102 (79.7%) for NanoCLUST. For the 230 cultured species in the 65 polymicrobial samples, Emu correctly identified 188 (81.7%) cultured species, compared to 174 (75.7%) for Epi2me and 125 (54.3%) for NanoCLUST. Through ROC analysis on the monomicrobial samples, we determined a threshold of relative abundance at 0.058 for distinguishing potential pathogens from background in Nanopore 16S. Applying this threshold resulted in the identification of 107 (83.6%), 117 (91.4%), and 114 (91.2%) correctly detected samples for Epi2me, Emu, and NanoCLUST, respectively, in the monomicrobial samples. Nanopore 16S coupled with Epi2me could provide preliminary results within 6 h. However, the ROC analysis of polymicrobial samples exhibited a random-like performance, making it difficult to establish a threshold. The overall limit of detection for Nanopore 16S was found to be about 90 CFU/ml.