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Longitudinal COVID-19 profiling associates IL-1RA and IL-10 with disease severity and RANTES with mild disease
Open accessAbstract
BACKGROUND: Identifying immune correlates of COVID-19 disease severity is an urgent need for clinical management, vaccine evaluation, and drug development. Here, we present a temporal analysis of key immune mediators, cytokines, and chemokines in blood of hospitalized COVID-19 patients from serial sampling and follow-up over 4 weeks. METHODS: A total of 71 patients with laboratory-confirmed COVID-19 admitted to Beijing You'an Hospital in China with either mild (53 patients) or severe (18 patients) disease were enrolled with 18 healthy volunteers. We measured 34 immune mediators, cytokines, and chemokines in peripheral blood every 4-7 days over 1 month per patient using a bioplex multiplex immunoassay. RESULTS: We found that the chemokine RANTES (CCL5) was significantly elevated, from an early stage of the infection, in patients with mild but not severe disease. We also found that early production of inhibitory mediators including IL-10 and IL-1RA were significantly associated with disease severity, and a combination of CCL5, IL-1 receptor antagonist (IL-1RA), and IL-10 at week 1 may predict patient outcomes. The majority of cytokines that are known to be associated with the cytokine storm in virus infections such as IL-6 and IFN-γ were only significantly elevated in the late stage of severe COVID-19 illness. TNF-α and GM-CSF showed no significant differences between severe and mild cases. CONCLUSION: Together, our data suggest that early intervention to increase expression of CCL5 may prevent patients from developing severe illness. Our data also suggest that measurement of levels of CCL5, as well as IL-1RA and IL-10 in blood individually and in combination, might be useful prognostic biomarkers to guide treatment strategies.
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Clinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
Self-citationA novel coronavirus from patients with pneumonia in China, 2019
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Self-citationA new coronavirus associated with human respiratory disease in China
Wu, F., Zhao, S., Yu, B., Chen, Y.-M., Wang, W., Song, Z.-G., Hu, Y., Tao, Z.-W., Tian, J.-H., Pei, Y.-Y., et al. (2020) · Nature · doi:10.1038/s41586-020-2008-3 · Cited by 11,688
Self-citationPathological findings of COVID-19 associated with acute respiratory distress syndrome
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Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19
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Wilkinson, T. M., Li, C. K. F., Chui, C. S. C., Huang, A. K. Y., Perkins, M., Liebner, J. C., Lambkin-Williams, R., Gilbert, A., Oxford, J., Nicholas, B., et al. (2012) · Nature Medicine · doi:10.1038/nm.2612 · Cited by 974
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Vora, S. M., Lieberman, J., & Wu, H. (2021) · Nature Reviews Immunology · doi:10.1038/s41577-021-00588-x · Cited by 325
Autoinflammatory and autoimmune conditions at the crossroad of COVID-19
Rodríguez, Y., Novelli, L., Rojas, M., De Santis, M., Acosta-Ampudia, Y., Monsalve, D. M., Ramírez-Santana, C., Costanzo, A., Ridgway, W. M., Ansari, A. A., et al. (2020) · Journal of Autoimmunity · doi:10.1016/j.jaut.2020.102506 · Cited by 312
Biomarkers of post-covid depression
Lorkiewicz, P., & Waszkiewicz, N. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10184142 · Cited by 102
Multiscale PHATE identifies multimodal signatures of COVID-19
Kuchroo, M., Huang, J., Wong, P., Grenier, J.-C., Shung, D., Tong, A., Lucas, C., Klein, J., Burkhardt, D. B., Gigante, S., et al. (2022) · Nature Biotechnology · doi:10.1038/s41587-021-01186-x · Cited by 72
Metadata
- Authors
- Zhao, Y., Qin, L., Zhang, P., Li, K., Liang, L., Sun, J., Xu, B., Dai, Y., Li, X., Zhang, C., Peng, Y., Feng, Y., Li, A., Hu, Z., Xiang, H., Ogg, G., Ho, L.-P., McMichael, A., Jin, R., Knight, J. C., Dong, T., & Zhang, Y.
- Venue
- JCI Insight
- Published
- 2020-07-09
- Volume
- 5
- Issue
- 13
- ISSN
- 2379-3708 (ISSN-L)
- OpenAlex
- W3034095150
- Cited by
- 408
- References
- 8
- FWCI
- 9.26
- Type
- journal article
- Language
- en
- Open access
- gold
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- Zhao, Y., Qin, L., Zhang, P., Li, K., Liang, L., Sun, J., Xu, B., Dai, Y., Li, X., Zhang, C., Peng, Y., Feng, Y., Li, A., Hu, Z., Xiang, H., Ogg, G., Ho, L.-P., McMichael, A., Jin, R., . . . Zhang, Y. (2020). Longitudinal COVID-19 profiling associates IL-1RA and IL-10 with disease severity and RANTES with mild disease. JCI Insight. https://doi.org/10.1172/jci.insight.139834
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