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Cited by 647

The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.

Ferroptosis as a novel therapeutic target for cardiovascular disease

Open access
Wu, Xiaoguang, Li, Yi, Zhang, Shuchen, Zhou, Xiang·2021·Theranostics

Abstract

Cell death is an important component of the pathophysiology of cardiovascular disease. An understanding of how cardiomyocytes die, and why regeneration of cells in the heart is limited, is a critical area of study. Ferroptosis is a form of regulated cell death that is characterized by iron overload, leading to accumulation of lethal levels of lipid hydroperoxides. The metabolism of iron, lipids, amino acids and glutathione tightly controls the initiation and execution of ferroptosis. Emerging evidence shows that ferroptosis is closely associated with the occurrence and progression of various diseases. In recent years, ferroptosis has been found to play critical roles in cardiomyopathy, myocardial infarction, ischemia/reperfusion injury, and heart failure. This article reviews the mechanisms by which ferroptosis is initiated and controlled and discusses ferroptosis as a novel therapeutic target for various cardiovascular diseases.

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Metadata

Authors
Wu, X., Li, Y., Zhang, S., & Zhou, X.
Venue
Theranostics
Published
2021
Volume
11
Issue
7
Pages
3052-3059
ISSN
1838-7640 (ISSN-L)
OpenAlex
W3120670495
Cited by
647
References
64
FWCI
58.58
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Ferroptosis as a novel therapeutic target for cardiovascular disease. https://app.cochat.ai/papers/10.7150/thno.54113
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Wu, X., Li, Y., Zhang, S., & Zhou, X. (2021). Ferroptosis as a novel therapeutic target for cardiovascular disease. Theranostics. https://doi.org/10.7150/thno.54113

Data sources

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.