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On-line Access: 2024-08-27
Received: 2023-10-17
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Ying LIU, Yongjun MA. Clinical applications of metagenomics next-generation sequencing in infectious diseases[J]. Journal of Zhejiang University Science B, 2024, 25(6): 471-484.
@article{title="Clinical applications of metagenomics next-generation sequencing in infectious diseases",
author="Ying LIU, Yongjun MA",
journal="Journal of Zhejiang University Science B",
volume="25",
number="6",
pages="471-484",
year="2024",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B2300029"
}
%0 Journal Article
%T Clinical applications of metagenomics next-generation sequencing in infectious diseases
%A Ying LIU
%A Yongjun MA
%J Journal of Zhejiang University SCIENCE B
%V 25
%N 6
%P 471-484
%@ 1673-1581
%D 2024
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B2300029
TY - JOUR
T1 - Clinical applications of metagenomics next-generation sequencing in infectious diseases
A1 - Ying LIU
A1 - Yongjun MA
J0 - Journal of Zhejiang University Science B
VL - 25
IS - 6
SP - 471
EP - 484
%@ 1673-1581
Y1 - 2024
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.B2300029
Abstract: infectious diseases are a great threat to human health. Rapid and accurate detection of pathogens is important in the diagnosis and treatment of infectious diseases. metagenomics next-generation sequencing (mNGS) is an unbiased and comprehensive approach for detecting all RNA and DNA in a sample. With the development of sequencing and bioinformatics technologies, mNGS is moving from research to clinical application, which opens a new avenue for pathogen detection. Numerous studies have revealed good potential for the clinical application of mNGS in infectious diseases, especially in difficult-to-detect, rare, and novel pathogens. However, there are several hurdles in the clinical application of mNGS, such as: (1) lack of universal workflow validation and quality assurance; (2) insensitivity to high-host background and low-biomass samples; and (3) lack of standardized instructions for mass data analysis and report interpretation. Therefore, a complete understanding of this new technology will help promote the clinical application of mNGS to infectious diseases. This review briefly introduces the history of next-generation sequencing, mainstream sequencing platforms, and mNGS workflow, and discusses the clinical applications of mNGS to infectious diseases and its advantages and disadvantages.
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