Data-driven analysis of COVID-19 reveals persistent immune abnormalities in convalescent severe individuals
Severe SARS-CoV-2 infection can trigger uncontrolled innate and adaptive immune responses, which are commonly associated with lymphopenia and increased neutrophil counts. However, whether the immune abnormalities observed in mild to severely infected patients persist into convalescence remains uncle...
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Science::Medicine COVID-19 Cytokine Profile |
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Science::Medicine COVID-19 Cytokine Profile Lim, Jackwee Puan, Kia Joo Wang, Liang Wei Teng, Karen Wei Weng Loh, Chiew Yee Tan, Kim Peng Carissimo, Guillaume Chan, Yi-Hao Poh, Chek Meng Lee, Cheryl Yi-Pin Fong, Siew-Wai Yeo, Nicholas Kim-Wah Chee, Rhonda Sin-Ling Siti Naqiah Amrun Chang, Zi Wei Tay, Matthew Zirui Torres-Ruesta, Anthony Leo Fernandez, Norman How, Wilson Andiappan, Anand Kumar Lee, Wendy Duan, Kaibo Tan, Seow-Yen Yan, Gabriel Kalimuddin, Shirin Lye, David Chien Leo, Yee Sin Ong, Sean Wei Xiang Young, Barnaby Edward Renia, Laurent Ng, Lisa F. P. Lee, Bernett Rötzschke, Olaf Data-driven analysis of COVID-19 reveals persistent immune abnormalities in convalescent severe individuals |
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Severe SARS-CoV-2 infection can trigger uncontrolled innate and adaptive immune responses, which are commonly associated with lymphopenia and increased neutrophil counts. However, whether the immune abnormalities observed in mild to severely infected patients persist into convalescence remains unclear. Herein, comparisons were drawn between the immune responses of COVID-19 infected and convalescent adults. Strikingly, survivors of severe COVID-19 had decreased proportions of NKT and Vδ2 T cells, and increased proportions of low-density neutrophils, IgA+/CD86+/CD123+ non-classical monocytes and hyperactivated HLADR+CD38+ CD8+ T cells, and elevated levels of pro-inflammatory cytokines such as hepatocyte growth factor and vascular endothelial growth factor A, long after virus clearance. Our study suggests potential immune correlates of "long COVID-19", and defines key cells and cytokines that delineate true and quasi-convalescent states. |
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Lee Kong Chian School of Medicine (LKCMedicine) |
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Lee Kong Chian School of Medicine (LKCMedicine) Lim, Jackwee Puan, Kia Joo Wang, Liang Wei Teng, Karen Wei Weng Loh, Chiew Yee Tan, Kim Peng Carissimo, Guillaume Chan, Yi-Hao Poh, Chek Meng Lee, Cheryl Yi-Pin Fong, Siew-Wai Yeo, Nicholas Kim-Wah Chee, Rhonda Sin-Ling Siti Naqiah Amrun Chang, Zi Wei Tay, Matthew Zirui Torres-Ruesta, Anthony Leo Fernandez, Norman How, Wilson Andiappan, Anand Kumar Lee, Wendy Duan, Kaibo Tan, Seow-Yen Yan, Gabriel Kalimuddin, Shirin Lye, David Chien Leo, Yee Sin Ong, Sean Wei Xiang Young, Barnaby Edward Renia, Laurent Ng, Lisa F. P. Lee, Bernett Rötzschke, Olaf |
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Article |
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Lim, Jackwee Puan, Kia Joo Wang, Liang Wei Teng, Karen Wei Weng Loh, Chiew Yee Tan, Kim Peng Carissimo, Guillaume Chan, Yi-Hao Poh, Chek Meng Lee, Cheryl Yi-Pin Fong, Siew-Wai Yeo, Nicholas Kim-Wah Chee, Rhonda Sin-Ling Siti Naqiah Amrun Chang, Zi Wei Tay, Matthew Zirui Torres-Ruesta, Anthony Leo Fernandez, Norman How, Wilson Andiappan, Anand Kumar Lee, Wendy Duan, Kaibo Tan, Seow-Yen Yan, Gabriel Kalimuddin, Shirin Lye, David Chien Leo, Yee Sin Ong, Sean Wei Xiang Young, Barnaby Edward Renia, Laurent Ng, Lisa F. P. Lee, Bernett Rötzschke, Olaf |
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Lim, Jackwee |
title |
Data-driven analysis of COVID-19 reveals persistent immune abnormalities in convalescent severe individuals |
title_short |
Data-driven analysis of COVID-19 reveals persistent immune abnormalities in convalescent severe individuals |
title_full |
Data-driven analysis of COVID-19 reveals persistent immune abnormalities in convalescent severe individuals |
title_fullStr |
Data-driven analysis of COVID-19 reveals persistent immune abnormalities in convalescent severe individuals |
title_full_unstemmed |
Data-driven analysis of COVID-19 reveals persistent immune abnormalities in convalescent severe individuals |
title_sort |
data-driven analysis of covid-19 reveals persistent immune abnormalities in convalescent severe individuals |
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2022 |
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https://hdl.handle.net/10356/161473 |
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sg-ntu-dr.10356-1614732023-10-09T04:51:58Z Data-driven analysis of COVID-19 reveals persistent immune abnormalities in convalescent severe individuals Lim, Jackwee Puan, Kia Joo Wang, Liang Wei Teng, Karen Wei Weng Loh, Chiew Yee Tan, Kim Peng Carissimo, Guillaume Chan, Yi-Hao Poh, Chek Meng Lee, Cheryl Yi-Pin Fong, Siew-Wai Yeo, Nicholas Kim-Wah Chee, Rhonda Sin-Ling Siti Naqiah Amrun Chang, Zi Wei Tay, Matthew Zirui Torres-Ruesta, Anthony Leo Fernandez, Norman How, Wilson Andiappan, Anand Kumar Lee, Wendy Duan, Kaibo Tan, Seow-Yen Yan, Gabriel Kalimuddin, Shirin Lye, David Chien Leo, Yee Sin Ong, Sean Wei Xiang Young, Barnaby Edward Renia, Laurent Ng, Lisa F. P. Lee, Bernett Rötzschke, Olaf Lee Kong Chian School of Medicine (LKCMedicine) National Centre for Infectious Diseases Tan Tock Seng Hospital Yong Loo Lin School of Medicine, National University of Singapore National University Health System Saw Swee Hock School of Public Health, National University of Singapore Science::Medicine COVID-19 Cytokine Profile Severe SARS-CoV-2 infection can trigger uncontrolled innate and adaptive immune responses, which are commonly associated with lymphopenia and increased neutrophil counts. However, whether the immune abnormalities observed in mild to severely infected patients persist into convalescence remains unclear. Herein, comparisons were drawn between the immune responses of COVID-19 infected and convalescent adults. Strikingly, survivors of severe COVID-19 had decreased proportions of NKT and Vδ2 T cells, and increased proportions of low-density neutrophils, IgA+/CD86+/CD123+ non-classical monocytes and hyperactivated HLADR+CD38+ CD8+ T cells, and elevated levels of pro-inflammatory cytokines such as hepatocyte growth factor and vascular endothelial growth factor A, long after virus clearance. Our study suggests potential immune correlates of "long COVID-19", and defines key cells and cytokines that delineate true and quasi-convalescent states. Agency for Science, Technology and Research (A*STAR) National Medical Research Council (NMRC) National Research Foundation (NRF) Published version This work was supported by A*STAR Infectious Diseases Labs and Singapore Immunology Network (SIgN) core research grants, and the A*STAR COVID-19 Research funding (H/20/04/g1/006) provided to SIgN by the Biomedical Research Council (BMRC). Subject recruitment, sample collection and analyses were funded by the National Medical Research Council (NMRC) COVID-19 Research Fund (COVID19RF-001, COVID19-RF007, COVID190RF-060). The SIgN Immunomonitoring Platform is supported by a BMRC IAF 311006 grant and BMRC transition funds #H16/99/b0/011. The SIgN Flow Cytometry and the Multiple Analyte Platforms were supported by a grant from the National Research Foundation, Immunomonitoring Service Platform ISP) (#NRF2017_SISFP09) and the National Research Foundation Singapore (NRF). 2022-09-05T05:44:28Z 2022-09-05T05:44:28Z 2021 Journal Article Lim, J., Puan, K. J., Wang, L. W., Teng, K. W. W., Loh, C. Y., Tan, K. P., Carissimo, G., Chan, Y., Poh, C. M., Lee, C. Y., Fong, S., Yeo, N. K., Chee, R. S., Siti Naqiah Amrun, Chang, Z. W., Tay, M. Z., Torres-Ruesta, A., Leo Fernandez, N., How, W., ...Rötzschke, O. (2021). Data-driven analysis of COVID-19 reveals persistent immune abnormalities in convalescent severe individuals. Frontiers in Immunology, 12, 710217-. https://dx.doi.org/10.3389/fimmu.2021.710217 1664-3224 https://hdl.handle.net/10356/161473 10.3389/fimmu.2021.710217 34867943 2-s2.0-85120585317 12 710217 en H/20/04/g1/006 COVID19RF-001 COVID19-RF007 COVID190RF-060 311006 H16/99/b0/011 NRF2017_SISFP09 Frontiers in Immunology © 2021 Lim, Puan, Wang, Teng, Loh, Tan, Carissimo, Chan, Poh, Lee, Fong, Yeo, Chee, Amrun, Chang, Tay, Torres-Ruesta, Leo Fernandez, How, Andiappan, Lee, Duan, Tan, Yan, Kalimuddin, Lye, Leo, Ong, Young, Renia, Ng, Lee and Rötzschke. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. application/pdf |