Evaluation of Direct Detection Protocols for Poliovirus from Stool Samples of Acute Flaccid Paralysis Patients

Minami Kikuchi Ueno1, Kouichi Kitamura1, Yorihiro Nishimura1

  • 1Department of Virology II, National Institute of Infectious Diseases, 4-7-1 Gakuen, Musashimurayama, Tokyo 208-0011, Japan.

Viruses
|October 28, 2023
PubMed

Insights

Direct detection methods offer a faster alternative for poliovirus (PV) surveillance in acute flaccid paralysis (AFP) cases. A VP4-VP2 targeted approach demonstrated superior sensitivity, detecting PV in all tested samples.

Area of Science:

  • Virology
  • Molecular Biology
  • Public Health

Background:

  • Current polio surveillance relies on virus isolation from stool samples of acute flaccid paralysis (AFP) cases.
  • Existing methods face challenges in reporting timelines, test sensitivity, and poliovirus (PV) isolate containment.
  • Direct detection (DD) methods are being explored as potential alternatives.

Purpose of the Study:

  • To evaluate the sensitivity and sequencability of previously reported direct detection (DD) methods for poliovirus (PV).
  • To optimize a direct detection protocol for enhanced PV detection and sequencing.

Main Methods:

  • Evaluated direct detection (DD) protocols targeting VP1 or VP4-VP2 regions of the PV genome.
  • Optimized an RT-PCR protocol targeting the entire-capsid region for VP1 sequencing.
  • Assessed sensitivity (limit of detection) and sequencability for Sanger and nanopore sequencing.

Main Results:

  • An optimized VP1-targeted protocol showed high sensitivity (LOD = 82 copies) and faster reaction times (2.5 h).
  • VP1-targeted DD methods detected PV in 60-80% of positive AFP samples, missing minor PV strains in mixed samples.
  • The VP4-VP2 targeted DD method demonstrated higher sensitivity (LOD = 25 copies) and detected PV in all tested samples.

Conclusions:

  • Direct detection (DD) methods are effective for poliovirus (PV) detection in AFP surveillance.
  • The VP4-VP2 targeted DD method shows promise as a sensitive alternative to current surveillance methods.
  • Further improvements in DD method sensitivity are crucial for replacing traditional virus isolation techniques.