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The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Ferroptosis and Its Potential Role in Human Diseases

Open access
Han, Chu, Liu, Yuanyuan, Dai, Rongji, Ismail, Nafissa, Su, Weijun, Li, Bo·2020·Frontiers in Pharmacology

Abstract

Ferroptosis is a novel regulated cell death pattern discovered when studying the mechanism of erastin-killing RAS mutant tumor cells in 2012. It is an iron-dependent programmed cell death pathway mainly caused by an increased redox imbalance but with distinct biological and morphology characteristics when compared to other known cell death patterns. Ferroptosis is associated with various diseases including acute kidney injury, cancer, and cardiovascular, neurodegenerative, and hepatic diseases. Moreover, activation or inhibition of ferroptosis using a variety of ferroptosis initiators and inhibitors can modulate disease progression in animal models. In this review, we provide a comprehensive analysis of the characteristics of ferroptosis, its initiators and inhibitors, and the potential role of its main metabolic pathways in the treatment and prevention of various diseased states. We end the review with the current knowledge gaps in this area to provide direction for future research on ferroptosis.

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Metadata

Authors
Han, C., Liu, Y., Dai, R., Ismail, N., Su, W., & Li, B.
Venue
Frontiers in Pharmacology
Published
2020-03-17
Volume
11
Pages
239-239
ISSN
1663-9812 (ISSN-L)
OpenAlex
W3011219960
Cited by
273
References
45
FWCI
19.58
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Ferroptosis and Its Potential Role in Human Diseases. https://app.cochat.ai/papers/10.3389/fphar.2020.00239
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Han, C., Liu, Y., Dai, R., Ismail, N., Su, W., & Li, B. (2020). Ferroptosis and Its Potential Role in Human Diseases. Frontiers in Pharmacology. https://doi.org/10.3389/fphar.2020.00239

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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.