Evaluating long-read metagenomics for bloodstream infection diagnostics: a pilot study from a Thai Tertiary Hospital

dc.contributor.authorYaikhan T.
dc.contributor.authorWongsurawat T.
dc.contributor.authorJenjaroenpan P.
dc.contributor.authorThaipisuttikul I.
dc.contributor.authorChayakulkeeree M.
dc.contributor.authorTribhuddarat C.
dc.contributor.authorNitayanon P.
dc.contributor.authorPeizner M.T.
dc.contributor.authorTansirichaiya S.
dc.contributor.authorKamolvit W.
dc.contributor.authorSurachat K.
dc.contributor.correspondenceYaikhan T.
dc.contributor.otherMahidol University
dc.date.accessioned2026-04-09T18:15:18Z
dc.date.available2026-04-09T18:15:18Z
dc.date.issued2026-12-01
dc.description.abstractBloodstream infections (BSIs) are life-threatening and require rapid, accurate pathogen characterization to guide antimicrobial therapy. Conventional culture-based diagnostics offer limited insight into the genetic basis of antimicrobial resistance (AMR) and virulence. In this study, we applied Oxford Nanopore Technology (ONT) metagenomic sequencing directly to 40 positive blood culture bottles collected at Siriraj Hospital, Thailand (2022 and 2025). Long-read data enabled species identification, AMR marker detection, virulence profiling, and plasmid replicon analysis. Diverse Gram-negative and Gram-positive pathogens were identified, including ESBL-producing Escherichia coli, carbapenem-resistant Klebsiella pneumoniae, Enterococcus spp., and Staphylococcus spp. Comprehensive genomic profiling revealed complex resistance mechanisms, multiple virulence factors related to adhesion, biofilm formation, and toxin production, and diverse plasmid types associated with horizontal gene transfer (HGT). This study demonstrates the value of ONT-based metagenomics as a faster workflow that is blood culture-dependent but subculture-independent, enabling species identification and AMR gene detection within 6–8 h, compared with 5–7 days for conventional methods, while supporting integrated genomic characterization for diagnostics, infection control, and regional AMR surveillance.
dc.identifier.citationScientific Reports Vol.16 No.1 (2026)
dc.identifier.doi10.1038/s41598-026-41247-2
dc.identifier.eissn20452322
dc.identifier.scopus2-s2.0-105033823647
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/115974
dc.rights.holderSCOPUS
dc.subjectMultidisciplinary
dc.titleEvaluating long-read metagenomics for bloodstream infection diagnostics: a pilot study from a Thai Tertiary Hospital
dc.typeArticle
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105033823647&origin=inward
oaire.citation.issue1
oaire.citation.titleScientific Reports
oaire.citation.volume16
oairecerif.author.affiliationSiriraj Hospital
oairecerif.author.affiliationFaculty of Medicine, Prince of Songkla University

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