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Cited by 824

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Ferroptosis in infection, inflammation, and immunity

Open access
Chen, Xin, Kang, Rui, Kroemer, Guido, Tang, Daolin·2021·Journal of Experimental Medicine

Abstract

Ferroptosis is a type of regulated necrosis that is triggered by a combination of iron toxicity, lipid peroxidation, and plasma membrane damage. The upstream inducers of ferroptosis can be divided into two categories (biological versus chemical) and activate two major pathways (the extrinsic/transporter versus the intrinsic/enzymatic pathways). Excessive or deficient ferroptotic cell death is implicated in a growing list of physiological and pathophysiological processes, coupled to a dysregulated immune response. This review focuses on new discoveries related to how ferroptotic cells and their spilled contents shape innate and adaptive immunity in health and disease. Understanding the immunological characteristics and activity of ferroptotic death not only illuminates an intersection between cell death and immunity but may also lead to the development of novel treatment approaches for immunopathological diseases.

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Crossref · 10.1084/jem.20210518

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Metadata

Authors
Chen, X., Kang, R., Kroemer, G., & Tang, D.
Venue
Journal of Experimental Medicine
Published
2021-05-12
Volume
218
Issue
6
ISSN
  • 0022-1007 (ISSN-L)
  • 1540-9538
OpenAlex
W3162305544
Cited by
824
References
32
FWCI
68.23
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Ferroptosis in infection, inflammation, and immunity. https://app.cochat.ai/papers/10.1084/jem.20210518
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Chen, X., Kang, R., Kroemer, G., & Tang, D. (2021). Ferroptosis in infection, inflammation, and immunity. Journal of Experimental Medicine. https://doi.org/10.1084/jem.20210518

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.