High-precision rapid testing of omicron SARS-CoV-2 variants in clinical samples using AI-nanopore

文献信息

发布日期 2023-10-25
DOI 10.1039/D3LC00572K
影响因子 6.799
作者

Kumiko Tanaka, Hiroki Tanaka, Keiichiroh Akabane, Rigel Suzuki, Yuta Shinohara, Hiroyasu Takei, Shigeru Hashimoto, Yuki Tanaka, Osamu Sakamoto, Norihiko Naono, Takayui Takaai, Toshiyuki Harada, Takeshi Hattori, Satoshi Fuke, Isao Yokota, Satoshi Konno, Takashi Washio, Takasuke Fukuhara, Masateru Taniguchi


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摘要

A digital platform that can rapidly and accurately diagnose pathogenic viral variants, including SARS-CoV-2, will minimize pandemics, public anxiety, and economic losses. We recently reported an artificial intelligence (AI)-nanopore platform that enables testing for Wuhan SARS-CoV-2 with high sensitivity and specificity within five minutes. However, which parts of the virus are recognized by the platform are unknown. Similarly, whether the platform can detect SARS-CoV-2 variants or the presence of the virus in clinical samples needs further study. Here, we demonstrated the platform can distinguish SARS-CoV-2 variants. Further, it identified mutated Wuhan SARS-CoV-2 expressing spike proteins of the delta and omicron variants, indicating it discriminates spike proteins. Finally, we used the platform to identify omicron variants with a sensitivity and specificity of 100% and 94%, respectively, in saliva specimens from COVID-19 patients. Thus, our results demonstrate the AI-nanopore platform is an effective diagnostic tool for SARS-CoV-2 variants.

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来源期刊

Lab on a Chip

Lab on a Chip
CiteScore: 11.1
自引率: 8.2%
年发文量: 389

Miniaturization, automation, and integration have a profound impact across diverse fields, including biology, medicine, materials science, analytical chemistry, environmental monitoring, energy, and more, from laboratory research to industrial applications and clinical settings. Lab on a Chip is the premiere journal that publishes cutting-edge research in the field of miniaturization. By their very nature, microfluidic/nanofluidic/miniaturized systems are at the intersection of disciplines, spanning fundamental research to high-end application, which is reflected by the broad readership of the journal.

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