Dongli Gao

Dr. Dongli Gao


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 December 2025 in Diagnostics
Verified
Journal Article
Open access
PDF file
XGXudong Guo
Xudong Guo
DGDongli Gao
Dongli Gao
YYYi Yang
Yi Yang
WLWanying Liu
Wanying Liu
HLHongbo Liu
Hongbo Liu
HSHongbin Song
Hongbin Song
Background: Rapid pathogen detection is crucial for the timely containment of outbreaks, particularly for respiratory infectious diseases which are highly transmissible and possess high epidemic potential. Methods: We developed a sensitive reverse transcription recombinase-aided amplification (RT-RAA) assay for the rapid detection of six common respiratory viruses: respiratory syncytial virus type A (RSV A), influenza A virus (Flu A), influenza B virus (Flu B), human parainfluenza virus (HPIV), SARS-CoV-2 and adenovirus (ADV). The assay employs a single, standardized protocol for the on-demand detection of any one of the six targets. Its performance was validated using nucleic acid standards and clinical pharyngeal swab specimens. Results: The assay enables rapid detection within 20 min at 39 °C using a portable, self-powered device. It demonstrated high sensitivity, with detection limits below 103 copies/mL for all targets and as low as 101 copies/mL for ADV. Cross-reactivity testing with 21 other pathogens confirmed excellent specificity. Validation with 85 clinical samples showed 100% concordance with RT-PCR, while offering significantly faster results and enhanced portability compared to RT-PCR. Conclusions: This sensitive, specific, and user-friendly RT-RAA assay provides a robust tool for rapid detection of respiratory viruses, particularly suitable for deployment in resource-limited settings and point-of-care testing during outbreaks.