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Author Spotlight: Advancing Pathogen Diagnostics with Standardized LAMP
Published on: September 8, 2023
Interference reduction isothermal nucleic acid amplification strategy for COVID-19 variant detection
Guodong Li1,2, Chung-Nga Ko3, Zikang Wang1
1State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao Special Administrative Region of China.
A new loop-mediated interference reduction isothermal nucleic acid amplification (LM-IR-INA) strategy offers highly sensitive detection of COVID-19 variants. This method overcomes limitations of sequencing and PCR for accurate viral variant diagnosis.
Area of Science:
- Biotechnology
- Molecular Diagnostics
- Virology
Background:
- Current COVID-19 variant detection methods like sequencing and PCR have limitations.
- Sequencing is costly and time-consuming.
- PCR methods can suffer from low sensitivity and background interference.
Purpose of the Study:
- To develop a novel, highly sensitive, and specific method for detecting single-base mutations in viral variants.
- To address the limitations of existing diagnostic techniques for rapid and accurate viral variant identification.
Main Methods:
- Development of a loop-mediated interference reduction isothermal nucleic acid amplification (LM-IR-INA) strategy.
- Integration of nicking endonuclease, luminescent iridium(III) probes, and time-resolved emission spectroscopy (TRES).
- Establishment of a luminescence platform for specific mutation detection.
Main Results:
- Achieved a detection limit of 2.01 × 10^5 copies/μL for COVID-19 D796Y substitution.
- Demonstrated excellent specificity with a variant/wild-type ratio < 0.0625%.
- Successfully detected mutations in biological samples (throat, blood) and identified multiple mutations (D614G, H69/V70del) without interference.
Conclusions:
- The LM-IR-INA strategy provides a highly sensitive and specific approach for viral variant detection.
- The developed TRES-based method is superior to steady-state techniques and applicable to complex biological samples.
- This strategy shows potential as a universal platform for detecting various viral mutations.
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