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Nipah virus molecular detection from whole blood and respiratory swabs in a rapid field-ready protocol

  • Phuong Vi Nguyen
  • , Jayden Kimbro
  • , Kumail Ahmed
  • , Dhruv Miglani
  • , Sarah Hernandez
  • , David R. Myers
  • , Najeeha Talat Iqbal
  • , Jesse J. Waggoner

Research output: Contribution to journalArticlepeer-review

Abstract

BackgroundNipah virus (NiV) is a highly pathogenic, zoonotic paramyxovirus with significant public health implications due to high associated mortality and potential for human-to-human transmission. Current diagnostic testing options for NiV are limited and require extensive laboratory infrastructure.ObjectiveDevelop a field-deployable testing workflow for timely NiV detection.Study designA NiV real-time RT-PCR (rRT-PCR) was designed for a highly conserved region of the nucleocapsid gene and tested with RNA from Bangladesh and Malaysia NiV strains. The NiV rRT-PCR was evaluated on Rotor-Gene Q and Palm PCR S1e thermocyclers following instrument free RNA extraction (Extract & Store).ResultsInitial analytical evaluation, on a Rotor-Gene Q, demonstrated dynamic amplification and a limit of detection (LoD) of 3.7–4.2 copies/µL without amplification of related paramyxoviruses. The assay was adapted for the portable, battery-powered, self-contained Palm PCR S1e thermocycler, and exhibited linear detection with a LoD of 30.7 copies/µL. RNA extraction from contrived whole blood and pharyngeal swabs using the Extract & Store workflow yielded comparable results to automated extraction on a KingFisher Apex instrument. The entire assay, including extracted and stabilized RNA controls from BSL-1 strains, was successfully transferred to Aga Khan University with ambient temperature shipping and yielded similar performance.ConclusionsThe combination of Extract & Store and the Palm PCR S1e device offers a viable solution for field-based molecular detection of NiV. While limitations were noted for reaction setup on the Palm PCR, this presents a flexible and accessible workflow for rapid, portable detection of high-consequence pathogens in resource-constrained settings.

Original languageEnglish (US)
Article number105931
JournalJournal of Clinical Virology
Volume184
DOIs
Publication statusPublished - Jun 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Field-ready
  • Nipah virus
  • Paramyxovirus
  • Real-time RT-PCR

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