Journal of Infection · 2019 · 82 citations · 27 references
Veterinary MedicineInfectious DiseasesMicrobiologyDiagnostic MicrobiologyMedical MicrobiologyVirologyInfectious Disease DetectionPathogen DetectionRespiratory Pathogen DiagnosticsViral DiagnosticsViral InfectionsViral MetagenomicsChikungunya FeverFebrile Illness In TravelersMetagenomic Sequencing Of VirusesNext-generation Sequencing DiagnosisNext-generation Sequencing DiagnosticsRespiratory Viral InfectionsViral Pathogen DiscoveryViral Respiratory Infections
OBJECTIVES: Travel-associated infections are challenging to diagnose because of the broad spectrum of potential aetiologies. As a proof-of-principle study, we used MNGS to identify viral pathogens in clinical samples from returning travellers in a single center to explore its suitability as a diagnostic tool. METHODS: Plasma samples from 40 returning travellers presenting with a fever of ≥38°C were sequenced using MNGS on the Illumina MiSeq platform and compared with standard-of-care diagnostic assays. RESULTS: In total, 11/40 patients were diagnosed with a viral infection. Standard of care diagnostics revealed 5 viral infections using plasma samples; dengue virus 1 (n = 2), hepatitis E (n = 1), Ebola virus (n = 1) and hepatitis A (n = 1), all of which were detected by MNGS. Three additional patients with Chikungunya virus (n = 2) and mumps virus were diagnosed by MNGS only. Respiratory infections detected by nasal/throat swabs only were not detected by MNGS of plasma. One patient had infection with malaria and mumps virus during the same admission. CONCLUSIONS: MNGS analysis of plasma samples improves the sensitivity of diagnosis of viral infections and has potential as an all-in-one diagnostic test. It can be used to identify infections that have not been considered by the treating physician, co-infections and new or emerging pathogens. SUMMARY: Next generation sequencing (NGS) has potential as an all-in-one diagnostic test. In this study we used NGS to diagnose returning travellers with acute febrile illness in the UK, highlighting cases where the diagnosis was missed using standard methods.
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