Sungwan Kim, Giwon Cho, Jaebaek Lee, Khushi Doshi, Supriya Gharpure, Jisan Kim, Juyong Gwak, Joseph M. Hardie, Manoj K. Kanakasabapathy, Hemanth Kandula, Prudhvi Thirumalaraju, Younseong Song, Hui Chen, Daniel R. Kuritzkes, Jonathan Z. Li, Athe M. Tsibris, Hadi Shafiee
{"title":"用于即时病毒抗原检测的超灵敏和持久的生物发光免疫分析法","authors":"Sungwan Kim, Giwon Cho, Jaebaek Lee, Khushi Doshi, Supriya Gharpure, Jisan Kim, Juyong Gwak, Joseph M. Hardie, Manoj K. Kanakasabapathy, Hemanth Kandula, Prudhvi Thirumalaraju, Younseong Song, Hui Chen, Daniel R. Kuritzkes, Jonathan Z. Li, Athe M. Tsibris, Hadi Shafiee","doi":"10.1038/s41551-025-01405-9","DOIUrl":null,"url":null,"abstract":"<p>Bioluminescence holds notable promise as a modality in diagnostics due to its high signal-to-noise ratio and absence of incident radiation. However, challenges arise from rapid signal decay and reduced enzyme activity when linked to targeting molecules, limiting its reliability in point-of-care diagnostic applications. Here we introduce the luminescence cascade-based sensor (LUCAS) assay, an enzyme cascade system capable of detecting analytes with ultrahigh sensitivity and prolonged bioluminescence. Utilizing a sequential enzymatic reaction, our assay achieves a greater than 500-fold increase in bioluminescence signal and maintains an 8-fold improvement in signal persistence compared to conventional bioluminescence assays. Implemented on a portable, fully automated device designed for point-of-care settings, our system facilitates rapid (<23 min) sample-to-answer analysis of viruses without an external power supply. Its accuracy surpasses 94% in the qualitative classification of 177 viral-infected patient samples and 130 viral-spiked serum samples, various pathogens including the respiratory virus SARS-CoV-2, and blood-borne pathogens such as HIV, HBV and HCV as clinical models. The decentralized, rapid, sensitive, specific and cost-effective nature of LUCAS positions it as a viable diagnostic tool for low-resource environments.</p>","PeriodicalId":19063,"journal":{"name":"Nature Biomedical Engineering","volume":"3 1","pages":""},"PeriodicalIF":26.8000,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ultrasensitive and long-lasting bioluminescence immunoassay for point-of-care viral antigen detection\",\"authors\":\"Sungwan Kim, Giwon Cho, Jaebaek Lee, Khushi Doshi, Supriya Gharpure, Jisan Kim, Juyong Gwak, Joseph M. Hardie, Manoj K. Kanakasabapathy, Hemanth Kandula, Prudhvi Thirumalaraju, Younseong Song, Hui Chen, Daniel R. Kuritzkes, Jonathan Z. Li, Athe M. Tsibris, Hadi Shafiee\",\"doi\":\"10.1038/s41551-025-01405-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Bioluminescence holds notable promise as a modality in diagnostics due to its high signal-to-noise ratio and absence of incident radiation. However, challenges arise from rapid signal decay and reduced enzyme activity when linked to targeting molecules, limiting its reliability in point-of-care diagnostic applications. Here we introduce the luminescence cascade-based sensor (LUCAS) assay, an enzyme cascade system capable of detecting analytes with ultrahigh sensitivity and prolonged bioluminescence. Utilizing a sequential enzymatic reaction, our assay achieves a greater than 500-fold increase in bioluminescence signal and maintains an 8-fold improvement in signal persistence compared to conventional bioluminescence assays. Implemented on a portable, fully automated device designed for point-of-care settings, our system facilitates rapid (<23 min) sample-to-answer analysis of viruses without an external power supply. Its accuracy surpasses 94% in the qualitative classification of 177 viral-infected patient samples and 130 viral-spiked serum samples, various pathogens including the respiratory virus SARS-CoV-2, and blood-borne pathogens such as HIV, HBV and HCV as clinical models. The decentralized, rapid, sensitive, specific and cost-effective nature of LUCAS positions it as a viable diagnostic tool for low-resource environments.</p>\",\"PeriodicalId\":19063,\"journal\":{\"name\":\"Nature Biomedical Engineering\",\"volume\":\"3 1\",\"pages\":\"\"},\"PeriodicalIF\":26.8000,\"publicationDate\":\"2025-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Biomedical Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1038/s41551-025-01405-9\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Biomedical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1038/s41551-025-01405-9","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
Ultrasensitive and long-lasting bioluminescence immunoassay for point-of-care viral antigen detection
Bioluminescence holds notable promise as a modality in diagnostics due to its high signal-to-noise ratio and absence of incident radiation. However, challenges arise from rapid signal decay and reduced enzyme activity when linked to targeting molecules, limiting its reliability in point-of-care diagnostic applications. Here we introduce the luminescence cascade-based sensor (LUCAS) assay, an enzyme cascade system capable of detecting analytes with ultrahigh sensitivity and prolonged bioluminescence. Utilizing a sequential enzymatic reaction, our assay achieves a greater than 500-fold increase in bioluminescence signal and maintains an 8-fold improvement in signal persistence compared to conventional bioluminescence assays. Implemented on a portable, fully automated device designed for point-of-care settings, our system facilitates rapid (<23 min) sample-to-answer analysis of viruses without an external power supply. Its accuracy surpasses 94% in the qualitative classification of 177 viral-infected patient samples and 130 viral-spiked serum samples, various pathogens including the respiratory virus SARS-CoV-2, and blood-borne pathogens such as HIV, HBV and HCV as clinical models. The decentralized, rapid, sensitive, specific and cost-effective nature of LUCAS positions it as a viable diagnostic tool for low-resource environments.
期刊介绍:
Nature Biomedical Engineering is an online-only monthly journal that was launched in January 2017. It aims to publish original research, reviews, and commentary focusing on applied biomedicine and health technology. The journal targets a diverse audience, including life scientists who are involved in developing experimental or computational systems and methods to enhance our understanding of human physiology. It also covers biomedical researchers and engineers who are engaged in designing or optimizing therapies, assays, devices, or procedures for diagnosing or treating diseases. Additionally, clinicians, who make use of research outputs to evaluate patient health or administer therapy in various clinical settings and healthcare contexts, are also part of the target audience.