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Microparticles as Viral RNA Carriers from Stool for Stable and Sensitive Surveillance

Authors :
Emmanuel George Kifaro
Mi Jung Kim
Seungwon Jung
Yoon-ha Jang
Sungyeon Moon
Dong-Hun Lee
Chang-Seon Song
Gerald Misinzo
Sang Kyung Kim
Source :
Diagnostics, Vol 13, Iss 2, p 261 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Since its discovery, polymerase chain reaction (PCR) has emerged as an important technology for the diagnosis and identification of infectious diseases. It is a highly sensitive and reliable nucleic acids (NA) detection tool for various sample types. However, stool, which carries the most abundant micro-organisms and physiological byproducts, remains to be the trickiest clinical specimen for molecular detection of pathogens. Herein, we demonstrate the novel application of hydrogel microparticles as carriers of viral RNA from stool samples without prior RNA purification for real-time polymerase chain reaction (qPCR). In each microparticle of primer-incorporated network (PIN) as a self-sufficient reaction compartment, immobilized reverse transcription (RT) primers capture the viral RNA by hybridization and directly initiate RT of RNA to generate a pool of complementary DNA (PIN-cDNA pool). Through a simple operation with a portable thermostat device, a PIN-cDNA pool for influenza A virus (IAV) was obtained in 20 min. The PIN-cDNA pools can be stored at room temperature, or directly used to deliver cDNA templates for qPCR. The viral cDNA templates were freely released in the subsequent qPCR to allow amplification efficiency of over 91%. The assay displayed good linearity, repeatability, and comparable limit of detection (LoD) with a commercialized viral RNA purification kit. As a proof of concept, this technology carries a huge potential for onsite application to improve human and animal infectious disease surveillance activities using stool samples without the need for a laboratory or centrifuge for sample preparation.

Details

Language :
English
ISSN :
20754418
Volume :
13
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Diagnostics
Publication Type :
Academic Journal
Accession number :
edsdoj.588f12db54184e428371aca2e78c4119
Document Type :
article
Full Text :
https://doi.org/10.3390/diagnostics13020261