Please use this identifier to cite or link to this item:
https://doi.org/10.1016/j.xcrm.2021.100193
DC Field | Value | |
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dc.title | Sensitive detection of total anti-Spike antibodies and isotype switching in asymptomatic and symptomatic individuals with COVID-19 | |
dc.contributor.author | Goh, YS | |
dc.contributor.author | Chavatte, JM | |
dc.contributor.author | Lim Jieling, A | |
dc.contributor.author | Lee, B | |
dc.contributor.author | Hor, PX | |
dc.contributor.author | Amrun, SN | |
dc.contributor.author | Lee, CYP | |
dc.contributor.author | Chee, RSL | |
dc.contributor.author | Wang, B | |
dc.contributor.author | Lee, CY | |
dc.contributor.author | Ngoh, EZX | |
dc.contributor.author | Wang, CI | |
dc.contributor.author | Young, BE | |
dc.contributor.author | Tambyah, PA | |
dc.contributor.author | Kalimuddin, S | |
dc.contributor.author | Pada, S | |
dc.contributor.author | Tan, SY | |
dc.contributor.author | Sun, LJ | |
dc.contributor.author | Chen, MIC | |
dc.contributor.author | Leo, YS | |
dc.contributor.author | Lye, DC | |
dc.contributor.author | Ng, LFP | |
dc.contributor.author | Lin, RTP | |
dc.contributor.author | Renia, L | |
dc.date.accessioned | 2021-11-30T04:33:33Z | |
dc.date.available | 2021-11-30T04:33:33Z | |
dc.date.issued | 2021-02-16 | |
dc.identifier.citation | Goh, YS, Chavatte, JM, Lim Jieling, A, Lee, B, Hor, PX, Amrun, SN, Lee, CYP, Chee, RSL, Wang, B, Lee, CY, Ngoh, EZX, Wang, CI, Young, BE, Tambyah, PA, Kalimuddin, S, Pada, S, Tan, SY, Sun, LJ, Chen, MIC, Leo, YS, Lye, DC, Ng, LFP, Lin, RTP, Renia, L (2021-02-16). Sensitive detection of total anti-Spike antibodies and isotype switching in asymptomatic and symptomatic individuals with COVID-19. Cell Reports Medicine 2 (2) : 100193-. ScholarBank@NUS Repository. https://doi.org/10.1016/j.xcrm.2021.100193 | |
dc.identifier.issn | 26663791 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/208756 | |
dc.description.abstract | Early detection of infection is crucial to limit the spread of coronavirus disease 2019 (COVID-19). Here we develop a flow cytometry-based assay to detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike (S) protein antibodies in individuals with COVID-19. The assay detects specific immunoglobulin M (IgM), IgA, and IgG in individuals with COVID-19 and also acquisition of all IgG subclasses, with IgG1 being the most dominant. The antibody response is significantly higher at a later stage of infection. Furthermore, asymptomatic individuals with COVID-19 also develop specific IgM, IgA, and IgG, with IgG1 being the most dominant subclass. Although the antibody levels are lower in asymptomatic infection, the assay is highly sensitive and detects 97% of asymptomatic infections. These findings demonstrate that the assay can be used for serological analysis of symptomatic and asymptomatic infections, which may otherwise remain undetected. | |
dc.publisher | Elsevier BV | |
dc.source | Elements | |
dc.subject | COVID-19 | |
dc.subject | IgG subclasses | |
dc.subject | S protein | |
dc.subject | SARS-CoV-2 | |
dc.subject | antibodies | |
dc.subject | asymptomatic | |
dc.subject | serological | |
dc.subject | symptomatic | |
dc.type | Article | |
dc.date.updated | 2021-11-29T03:30:40Z | |
dc.contributor.department | BIOLOGICAL SCIENCES | |
dc.contributor.department | MICROBIOLOGY AND IMMUNOLOGY | |
dc.contributor.department | ORTHOPAEDIC SURGERY | |
dc.contributor.department | DUKE-NUS MEDICAL SCHOOL | |
dc.contributor.department | DEAN'S OFFICE (SSH SCH OF PUBLIC HEALTH) | |
dc.contributor.department | SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH | |
dc.contributor.department | MEDICINE | |
dc.description.doi | 10.1016/j.xcrm.2021.100193 | |
dc.description.sourcetitle | Cell Reports Medicine | |
dc.description.volume | 2 | |
dc.description.issue | 2 | |
dc.description.page | 100193- | |
dc.published.state | Published | |
Appears in Collections: | Staff Publications Elements |
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File | Description | Size | Format | Access Settings | Version | |
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Sensitive detection Cell reports medicine.pdf | 2.97 MB | Adobe PDF | OPEN | None | View/Download |
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