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Cited by 2,647

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Effective treatment of severe COVID-19 patients with tocilizumab

Open access
Xu, Xiaoling, Han, Mingfeng, Li, Tiantian, Sun, Wei, Wang, Dongsheng, Fu, Binqing, Zhou, Yonggang, Zheng, Xiaohu, Yang, Yun, Li, Xiuyong, Zhang, Xiaohua, Pan, Aijun, Wei, Haiming·2020·Proceedings of the National Academy of Sciences

Abstract

Significance: In patients with coronavirus disease 2019, a large number of T lymphocytes and mononuclear macrophages are activated, producing cytokines such as interleukin-6 (IL-6), which bind to the IL-6 receptor on the target cells, causing the cytokine storm and severe inflammatory responses in lungs and other tissues and organs. Tocilizumab, as a recombinant humanized anti-human IL-6 receptor monoclonal antibody, can bind to the IL-6 receptor with high affinity, thus preventing IL-6 itself from binding to its receptor, rendering it incapable of immune damage to target cells, and alleviating the inflammatory responses.

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Registry

Crossref · 10.1073/pnas.2005615117

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Metadata

Authors
Xu, X., Han, M., Li, T., Sun, W., Wang, D., Fu, B., Zhou, Y., Zheng, X., Yang, Y., Li, X., Zhang, X., Pan, A., & Wei, H.
Venue
Proceedings of the National Academy of Sciences
Published
2020-04-29
Volume
117
Issue
20
Pages
10970-10975
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W3022970339
Cited by
2,647
References
6
FWCI
75.63
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Effective treatment of severe COVID-19 patients with tocilizumab. https://app.cochat.ai/papers/10.1073/pnas.2005615117
The paper
Xu, X., Han, M., Li, T., Sun, W., Wang, D., Fu, B., Zhou, Y., Zheng, X., Yang, Y., Li, X., Zhang, X., Pan, A., & Wei, H. (2020). Effective treatment of severe COVID-19 patients with tocilizumab. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2005615117

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.