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Performance of shotgun metagenomics on whole blood from patients with suspected bloodstream infection: Challenges remain
Örebro University, School of Medical Sciences. Department of Laboratory Medicine, Clinical Microbiology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.ORCID iD: 0000-0002-8904-600x
Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden.
Centre for Genomic Pathogen Surveillance, Pandemic Sciences Institute, University of Oxford, Oxford, United Kingdom.
Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany.
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2025 (English)In: Journal of Microbiological Methods, ISSN 0167-7012, E-ISSN 1872-8359, Vol. 237, article id 107231Article in journal (Refereed) Published
Abstract [en]

Bloodstream infections (BSI) are common, and identifying the causative organism is crucial for effective patient management. Shotgun metagenomics (SMg) has emerged as a promising diagnostic tool; however, standardized protocols are lacking. This study aimed to evaluate the use of SMg for diagnosing BSI in patients with confirmed or suspected infections, using stored samples collected at the time of blood culture (BC). DNA extraction was performed with Add-on 10 complement and SelectNA Blood Pathogen kit (Molzym) and SMg sequencing was performed on an Illumina MiSeq instrument (Illumina). The outputs from five taxonomic classification tools were compared with routine blood culture. Of the initial 51 samples (36 BCE-positive and 15 BCE-negative), 36 (71 %) were included in the taxonomic classification analysis. Fifteen samples were excluded due to a low DNA library yield (n = 8) or low sequencing output (n = 7). In two cases, SMg results matched BC findings involving one Cutibacterium acnes and one Staphylococcus aureus. These organisms could be clearly distinguished from the background level of bacterial DNA. Aside from these, SMg identified additional bacterial findings that overlapped with BC results but at low abundance making interpretation more difficult. Most SMg reads were suspected to represent contaminations, originating either from the patient or the laboratory. The output from the different taxonomic classification tools were overall similar but displayed notable differences related to their strategies for identifying bacterial findings. Based on these results, we discuss the challenges associated with SMg-based diagnosis of BSI and highlight key areas requiring further research to improve its clinical utility.

Place, publisher, year, edition, pages
Elsevier, 2025. Vol. 237, article id 107231
Keywords [en]
Bacteremia, Bloodstream infection, High-throughput nucleotide sequencing, Metagenomics, Sepsis
National Category
Infectious Medicine
Identifiers
URN: urn:nbn:se:oru:diva-122857DOI: 10.1016/j.mimet.2025.107231ISI: 001565753000001PubMedID: 40819729Scopus ID: 2-s2.0-105013477362OAI: oai:DiVA.org:oru-122857DiVA, id: diva2:1990526
Funder
Nyckelfonden, OLL-967989Region Örebro County, OLL-964664OLL-964664EU, Horizon 2020
Note

Funding Agencies:

Nyckelfonden, OLL-967989 to PM and from the Research grant committee ofRegion Örebro County, OLL-964664 to DN. JWA received funding from the European Union’s Horizon 2020Research and Innovation Program under the Marie Skłodowska-Curie grant agreement 713660 (MSCA-COFUND-2015-DP “Pronkjewail”)

Available from: 2025-08-20 Created: 2025-08-20 Last updated: 2026-04-13Bibliographically approved
In thesis
1. Molecular based approaches for detection of bloodstream infections
Open this publication in new window or tab >>Molecular based approaches for detection of bloodstream infections
2026 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Bloodstream infection (BSI) is a life-threatening condition associated with high mortality. Pathogen identification is essential for patient management, yet blood culture (BC), the diagnostic gold standard, may require 2–5 days and has reduced sensitivity after antimicrobial treatment. This thesis investigates modern molecular DNA sequencing approaches for detecting bacterial DNA as a diagnostic alternative. In Study I, a cohort of 484 patients with suspected BSI was described, and prediction tools were applied to identify patients at high risk of BSI for subsequent studies. Study II used whole blood samples from 51 patients to detect bacterial DNA with short-read sequencing and showed low concordance with routine BC results. In Study III, a shotgun metagenomic workflow using the Nanopore platform was developed, and DNA extraction efficiency was evaluated in contrived samples. Bacterial DNA recovery was slightly higher in whole blood than in plasma, but no firm conclusion regarding the optimal sample matrix could be drawn. We also observed that extraction efficiency differed between bacterial species. Based on these methodological challenges and limited sensitivity, Study IV evaluated bacterial DNA enrichment prior to sequencing through short BC incubation (4 h) followed by targeted 16S gene sequencing in 161patients selected using the criteria defined in Study I. This workflow showed increased diagnostic performance, with sensitivity of 56.8% and specificity of 46.7% compared with BC. Additional bacteria with plausible clinical relevance were detected in a few patients with negative routine BC. Overall, the sequencing protocols evaluated in this thesis provided limited additional diagnostic value for BSI compared to BC. In comparison with the literature, we highlight methodological challenges to guide future research in this area.

Place, publisher, year, edition, pages
Örebro: Örebro University, 2026. p. 98
Series
Örebro Studies in Medicine, ISSN 1652-4063 ; 353
Keywords
Bloodstream infection, Bacteremia, Blood culture, Metagenomics, High-throughput nucleotide sequencing, Nanopore sequencing
National Category
General Medicine
Identifiers
urn:nbn:se:oru:diva-127338 (URN)9789175297651 (ISBN)9789175297668 (ISBN)
Public defence
2026-05-08, Örebro universitet, Campus USÖ, hörsal X1, Södra Grev Rosengatan 32, Örebro, 13:00 (English)
Opponent
Supervisors
Available from: 2026-02-17 Created: 2026-02-17 Last updated: 2026-04-22Bibliographically approved

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Nestor, DavidMölling, PaulaSundqvist, Martin

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