Utilizing multiplex reverse transcription-multiple cross displacement amplification-lateral flow biosensor technology for detecting H1N1, H3N2 and H7N9 influenza A virus subtypes

Respiratory infections caused by influenza A viruses (IAVs) pose a global threat annually, leading to significant mortality in severe cases. IAVs are classified into various subtypes, and a combination of multiplex reverse transcription-multiple cross displacement amplification (mRT-MCDA) and lateral flow biosensor (LFB) has been developed to detect three subtypes (H1N1, H3N2, and H7N9) that have been frequently observed in recent years. This technology simultaneously reverse transcribes and amplifies two target genes, hemagglutinin (HA) and neuraminidase (NA), at a constant temperature of 63 °C in just 40 min. The final results can be read using a dual-channel LFB. In practice, the entire process-from sample collection, RNA extraction, and mRT-MCDA amplification to result interpretation-can be completed in less than 1 h. This method is named "multiplex reverse transcription-multiple cross displacement amplification-lateral flow biosensor" (IAVs-mRT-MCDA-LFB) technology. The IAVs-mRT-MCDA-LFB technology demonstrated higher sensitivity compared to conventional reverse transcription-polymerase chain reaction (RT-PCR) and showed no cross-reactivity with other genes present in the samples. Therefore, the IAVs-mRT-MCDA-LFB technique developed in this study is a highly valuable molecular diagnostic tool for detecting IAV-subtypes due to its simplicity, time efficiency, cost-effectiveness, and high specificity and sensitivity.

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Publication Details

Journal
Journal of Virological Methods
Published
2025-08-04
DOI
https://doi.org/10.1016/j.jviromet.2025.115235
Primary Topic
Influenza Virus Research Studies
Type
article
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article

Utilizing multiplex reverse transcription-multiple cross displacement amplification-lateral flow biosensor technology for detecting H1N1, H3N2 and H7N9 influenza A virus subtypes

Fan Zhao, Shoukui Hu, Linlin Yan, Pengfei Wang et al.
Journal of Virological Methods
Influenza Virus Research Studies
article

Utilizing multiplex reverse transcription-multiple cross displacement amplification-lateral flow biosensor technology for detecting H1N1, H3N2 and H7N9 influenza A virus subtypes

Fan Zhao, Shoukui Hu, Linlin Yan, Pengfei Wang, Jing Wang
article en

Abstract

Respiratory infections caused by influenza A viruses (IAVs) pose a global threat annually, leading to significant mortality in severe cases. IAVs are classified into various subtypes, and a combination of multiplex reverse transcription-multiple cross displacement amplification (mRT-MCDA) and lateral flow biosensor (LFB) has been developed to detect three subtypes (H1N1, H3N2, and H7N9) that have been frequently observed in recent years. This technology simultaneously reverse transcribes and amplifies two target genes, hemagglutinin (HA) and neuraminidase (NA), at a constant temperature of 63 °C in just 40 min. The final results can be read using a dual-channel LFB. In practice, the entire process-from sample collection, RNA extraction, and mRT-MCDA amplification to result interpretation-can be completed in less than 1 h. This method is named "multiplex reverse transcription-multiple cross displacement amplification-lateral flow biosensor" (IAVs-mRT-MCDA-LFB) technology. The IAVs-mRT-MCDA-LFB technology demonstrated higher sensitivity compared to conventional reverse transcription-polymerase chain reaction (RT-PCR) and showed no cross-reactivity with other genes present in the samples. Therefore, the IAVs-mRT-MCDA-LFB technique developed in this study is a highly valuable molecular diagnostic tool for detecting IAV-subtypes due to its simplicity, time efficiency, cost-effectiveness, and high specificity and sensitivity.

Journal of Virological MethodsVol. 338
Aerospace Center Hospital (CN), Zhengzhou Central Hospital (CN), Peking University Shougang Hospital (CN)
Openalex Percentile: Top 73%
Influenza Virus Research Studies
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Utilizing multiplex reverse transcription-multiple cross displacement amplification-lateral flow biosensor technology for detecting H1N1, H3N2 and H7N9 influenza A virus subtypes — Fan Zhao, Shoukui Hu, et al. · Journal of Virological Methods (2025) | TGRS Research Map | TGRS