Streamlined detection of Nipah virus antibodies using a split NanoLuc biosensor
Nipah virus (NiV) is an emerging zoonotic RNA virus that can cause fatal respiratory and neurological diseases in animals and humans. Accurate NiV diagnostics and surveillance tools are crucial for the identification of acute and resolved infections and to improve our understanding of NiV transmissi...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Emerging Microbes and Infections |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/22221751.2024.2398640 |
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| author | Éric Bergeron Cheng-Feng Chiang Michael K. Lo Elif Karaaslan Syed Moinuddin Satter Mohammed Ziaur Rahman Mohammad Enayet Hossain Wasik Rahman Aquib Dewan Imtiaz Rahman Subyeta Binte Sarwar Joel M. Montgomery John D. Klena Christina F. Spiropoulou |
| author_facet | Éric Bergeron Cheng-Feng Chiang Michael K. Lo Elif Karaaslan Syed Moinuddin Satter Mohammed Ziaur Rahman Mohammad Enayet Hossain Wasik Rahman Aquib Dewan Imtiaz Rahman Subyeta Binte Sarwar Joel M. Montgomery John D. Klena Christina F. Spiropoulou |
| author_sort | Éric Bergeron |
| collection | DOAJ |
| description | Nipah virus (NiV) is an emerging zoonotic RNA virus that can cause fatal respiratory and neurological diseases in animals and humans. Accurate NiV diagnostics and surveillance tools are crucial for the identification of acute and resolved infections and to improve our understanding of NiV transmission and circulation. Here, we have developed and validated a split NanoLuc luciferase NiV glycoprotein (G) biosensor for detecting antibodies in clinical and animal samples. This assay is performed by simply mixing reagents and measuring luminescence, which depends on the complementation of the split NanoLuc luciferase G biosensor following its binding to antibodies. This anti-NiV-G “mix-and-read” assay was validated using the WHO's first international standard for anti-NiV antibodies and more than 700 serum samples from the NiV-endemic country of Bangladesh. Anti-NiV antibodies from survivors persisted for at least 8 years according to both ⍺NiV-G mix-and-read and NiV neutralization assays. The ⍺NiV-G mix-and-read assay sensitivity (98.6%) and specificity (100%) were comparable to anti-NiV IgG ELISA performance but failed to detect anti-NiV antibodies in samples collected less than a week following the appearance of symptoms. Overall, the anti-NiV-G biosensor represents a simple, fast, and reliable tool that could support the expansion of NiV surveillance and retrospective outbreak investigations. |
| format | Article |
| id | doaj-art-60ccc5f5b3bb498ca72e4ac3a8002ad3 |
| institution | OA Journals |
| issn | 2222-1751 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Emerging Microbes and Infections |
| spelling | doaj-art-60ccc5f5b3bb498ca72e4ac3a8002ad32025-08-20T02:20:37ZengTaylor & Francis GroupEmerging Microbes and Infections2222-17512024-12-0113110.1080/22221751.2024.2398640Streamlined detection of Nipah virus antibodies using a split NanoLuc biosensorÉric Bergeron0Cheng-Feng Chiang1Michael K. Lo2Elif Karaaslan3Syed Moinuddin Satter4Mohammed Ziaur Rahman5Mohammad Enayet Hossain6Wasik Rahman Aquib7Dewan Imtiaz Rahman8Subyeta Binte Sarwar9Joel M. Montgomery10John D. Klena11Christina F. Spiropoulou12Viral Special Pathogens Branch, Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, USAViral Special Pathogens Branch, Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, USAViral Special Pathogens Branch, Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, USAViral Special Pathogens Branch, Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, USAicddr,b, Dhaka, Bangladeshicddr,b, Dhaka, Bangladeshicddr,b, Dhaka, Bangladeshicddr,b, Dhaka, Bangladeshicddr,b, Dhaka, Bangladeshicddr,b, Dhaka, BangladeshViral Special Pathogens Branch, Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, USAViral Special Pathogens Branch, Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, USAViral Special Pathogens Branch, Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, USANipah virus (NiV) is an emerging zoonotic RNA virus that can cause fatal respiratory and neurological diseases in animals and humans. Accurate NiV diagnostics and surveillance tools are crucial for the identification of acute and resolved infections and to improve our understanding of NiV transmission and circulation. Here, we have developed and validated a split NanoLuc luciferase NiV glycoprotein (G) biosensor for detecting antibodies in clinical and animal samples. This assay is performed by simply mixing reagents and measuring luminescence, which depends on the complementation of the split NanoLuc luciferase G biosensor following its binding to antibodies. This anti-NiV-G “mix-and-read” assay was validated using the WHO's first international standard for anti-NiV antibodies and more than 700 serum samples from the NiV-endemic country of Bangladesh. Anti-NiV antibodies from survivors persisted for at least 8 years according to both ⍺NiV-G mix-and-read and NiV neutralization assays. The ⍺NiV-G mix-and-read assay sensitivity (98.6%) and specificity (100%) were comparable to anti-NiV IgG ELISA performance but failed to detect anti-NiV antibodies in samples collected less than a week following the appearance of symptoms. Overall, the anti-NiV-G biosensor represents a simple, fast, and reliable tool that could support the expansion of NiV surveillance and retrospective outbreak investigations.https://www.tandfonline.com/doi/10.1080/22221751.2024.2398640Nipah virusserologydisease surveillanceantibodiesparamyxoviridae |
| spellingShingle | Éric Bergeron Cheng-Feng Chiang Michael K. Lo Elif Karaaslan Syed Moinuddin Satter Mohammed Ziaur Rahman Mohammad Enayet Hossain Wasik Rahman Aquib Dewan Imtiaz Rahman Subyeta Binte Sarwar Joel M. Montgomery John D. Klena Christina F. Spiropoulou Streamlined detection of Nipah virus antibodies using a split NanoLuc biosensor Emerging Microbes and Infections Nipah virus serology disease surveillance antibodies paramyxoviridae |
| title | Streamlined detection of Nipah virus antibodies using a split NanoLuc biosensor |
| title_full | Streamlined detection of Nipah virus antibodies using a split NanoLuc biosensor |
| title_fullStr | Streamlined detection of Nipah virus antibodies using a split NanoLuc biosensor |
| title_full_unstemmed | Streamlined detection of Nipah virus antibodies using a split NanoLuc biosensor |
| title_short | Streamlined detection of Nipah virus antibodies using a split NanoLuc biosensor |
| title_sort | streamlined detection of nipah virus antibodies using a split nanoluc biosensor |
| topic | Nipah virus serology disease surveillance antibodies paramyxoviridae |
| url | https://www.tandfonline.com/doi/10.1080/22221751.2024.2398640 |
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