Evaluating Seqstant LiveGene Analysis in real-time assessment of metagenomic next-generation sequencing (mNGS) data from respiratory samples
Overall, our study showed the non-inferiority of rt-mNGS compared to the standard-of-care microbiology for respiratory samples with statistical significance. Moreover, the rt-mNGS method exhibited superior sensitivity and superior overall performance. It also uniquely detected certain organisms that are typically hard to culture. However, rt-mNGS reported a higher number of false positives and faced limitations in detecting Aspergillus spp. In conclusion, the study highlights the potential of rt-mNGS as a powerful tool in clinical diagnostics of respiratory infections and beyond.
Authors
- Yasemin Caf
- Georg Wrettos
- Stefan Jakob
- Elham Khatamzas (ORCID: https://orcid.org/0000-0001-9253-1340)
- Ludwig Knabl (ORCID: https://orcid.org/0000-0001-8280-8991)
- Sabrina Klein (ORCID: https://orcid.org/0000-0003-0645-3740)
- Sébastien Boutin (ORCID: https://orcid.org/0000-0002-0499-2460)
- Gerold Untergasser (ORCID: https://orcid.org/0000-0002-3430-119X)
- Tobias P. Loka (ORCID: https://orcid.org/0000-0001-6380-5875)
- Dennis Nurjadi (ORCID: https://orcid.org/0000-0002-1278-5939)
- Henri Knobloch
Institutions
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- In-Q-Tel (US)
- German Center for Infection Research (DE)
- German Center for Lung Research (DE)
- University of Lübeck (DE)
Publication Details
- Journal
- Infection
- Published
- 2025-11-11
- DOI
- https://doi.org/10.1007/s15010-025-02665-y
- Primary Topic
- Bacterial Identification and Susceptibility Testing
- Type
- article
- Field-Weighted Citation Impact
- 0.00