The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
TLR2 senses the SARS-CoV-2 envelope protein to produce inflammatory cytokines
Open accessAbstract
The innate immune response is critical for recognizing and controlling infections through the release of cytokines and chemokines. However, severe pathology during some infections, including SARS-CoV-2, is driven by hyperactive cytokine release, or a cytokine storm. The innate sensors that activate production of proinflammatory cytokines and chemokines during COVID-19 remain poorly characterized. In the present study, we show that both TLR2 and MYD88 expression were associated with COVID-19 disease severity. Mechanistically, TLR2 and Myd88 were required for β-coronavirus-induced inflammatory responses, and TLR2-dependent signaling induced the production of proinflammatory cytokines during coronavirus infection independent of viral entry. TLR2 sensed the SARS-CoV-2 envelope protein as its ligand. In addition, blocking TLR2 signaling in vivo provided protection against the pathogenesis of SARS-CoV-2 infection. Overall, our study provides a critical understanding of the molecular mechanism of β-coronavirus sensing and inflammatory cytokine production, which opens new avenues for therapeutic strategies to counteract the ongoing COVID-19 pandemic. The innate sensors of SARS-CoV-2 are still being determined. Kanneganti and colleagues find that SARS-CoV-2 envelope protein is sensed by TLR2 and this drives pathogenic inflammatory cytokine production.
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Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
Hoffmann, M., Kleine-Weber, H., Schroeder, S., Krüger, N., Herrler, T., Erichsen, S., Schiergens, T. S., Herrler, G., Wu, N.-H., Nitsche, A., et al. (2020) · Cell · doi:10.1016/j.cell.2020.02.052 · Cited by 20,286
NF-κB signaling in inflammation
Liu, T., Zhang, L., Joo, D., & Sun, S.-C. (2017) · Signal Transduction and Targeted Therapy · doi:10.1038/sigtrans.2017.23 · Cited by 8,791
A Toll-like receptor recognizes bacterial DNA
Hemmi, H., Takeuchi, O., Kawai, T., Kaisho, T., Sato, S., Sanjo, H., Matsumoto, M., Hoshino, K., Wagner, H., Takeda, K., et al. (2000) · Nature · doi:10.1038/35047123 · Cited by 6,491
Characteristics of SARS-CoV-2 and COVID-19
Hu, B., Guo, H., Zhou, P., & Shi, Z.-L. (2021) · Nature Reviews Microbiology · doi:10.1038/s41579-020-00459-7 · Cited by 5,291
Hoshino, K., Takeuchi, O., Kawai, T., Sanjo, H., Ogawa, T., Takeda, Y., Takeda, K., & Akira, S. (1999) · The Journal of Immunology · doi:10.4049/jimmunol.162.7.3749 · Cited by 3,374
Takeuchi, O., Hoshino, K., Kawai, T., Sanjo, H., Takada, H., Ogawa, T., Takeda, K., & Akira, S. (1999) · Immunity · doi:10.1016/s1074-7613(00)80119-3 · Cited by 3,362
Role of Adaptor TRIF in the MyD88-Independent Toll-Like Receptor Signaling Pathway
Yamamoto, M., Sato, S., Hemmi, H., Hoshino, K., Kaisho, T., Sanjo, H., Takeuchi, O., Sugiyama, M., Okabe, M., Takeda, K., et al. (2003) · Science · doi:10.1126/science.1087262 · Cited by 3,235
Impaired type I interferon activity and inflammatory responses in severe COVID-19 patients
Hadjadj, J., Yatim, N., Barnabei, L., Corneau, A., Boussier, J., Smith, N., Péré, H., Charbit, B., Bondet, V., Chenevier-Gobeaux, C., et al. (2020) · Science · doi:10.1126/science.abc6027 · Cited by 2,984
An inflammatory cytokine signature predicts COVID-19 severity and survival
Del Valle, D. M., Kim-Schulze, S., Huang, H.-H., Beckmann, N. D., Nirenberg, S., Wang, B., Lavin, Y., Swartz, T. H., Madduri, D., Stock, A., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-1051-9 · Cited by 2,605
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Metadata
- Authors
- Zheng, M., Karki, R., Williams, E. P., Yang, D., Fitzpatrick, E., Vogel, P., Jonsson, C. B., & Kanneganti, T.-D.
- Venue
- Nature Immunology
- Published
- 2021-05-07
- Volume
- 22
- Issue
- 7
- Pages
- 829-838
- ISSN
- 1529-2908 (ISSN-L)
- 1529-2916
- OpenAlex
- W3157024165
- Cited by
- 592
- References
- 53
- FWCI
- 34.66
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Zheng, M., Karki, R., Williams, E. P., Yang, D., Fitzpatrick, E., Vogel, P., Jonsson, C. B., & Kanneganti, T.-D. (2021). TLR2 senses the SARS-CoV-2 envelope protein to produce inflammatory cytokines. Nature Immunology. https://doi.org/10.1038/s41590-021-00937-x
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