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Cited by 212

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Mitochondrial Reactive Oxygen Species at the Heart of the Matter: New Therapeutic Approaches for Cardiovascular Diseases

Open access
Kornfeld, Opher S., Hwang, Sunhee, Disatnik, Marie-Hélène, Chen, Che-Hong, Qvit, Nir, Mochly-Rosen, Daria·2015·Circulation Research

Abstract

Reactive oxygen species (ROS) have been implicated in a variety of age-related diseases, including multiple cardiovascular disorders. However, translation of ROS scavengers (antioxidants) into the clinic has not been successful. These antioxidants grossly reduce total levels of cellular ROS including ROS that participate in physiological signaling. In this review, we challenge the traditional antioxidant therapeutic approach that targets ROS directly with novel approaches that improve mitochondrial functions to more effectively treat cardiovascular diseases.

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Crossref · 10.1161/circresaha.116.305432

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Metadata

Authors
Kornfeld, O. S., Hwang, S., Disatnik, M.-H., Chen, C.-H., Qvit, N., & Mochly-Rosen, D.
Venue
Circulation Research
Published
2015-05-22
Volume
116
Issue
11
Pages
1783-1799
ISSN
  • 0009-7330 (ISSN-L)
  • 1524-4571
OpenAlex
W1943357032
Cited by
212
References
28
FWCI
9.13
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Mitochondrial Reactive Oxygen Species at the Heart of the Matter: New Therapeutic Approaches for Cardiovascular Diseases. https://app.cochat.ai/papers/10.1161/circresaha.116.305432
The paper
Kornfeld, O. S., Hwang, S., Disatnik, M.-H., Chen, C.-H., Qvit, N., & Mochly-Rosen, D. (2015). Mitochondrial Reactive Oxygen Species at the Heart of the Matter: New Therapeutic Approaches for Cardiovascular Diseases. Circulation Research. https://doi.org/10.1161/circresaha.116.305432

Data sources

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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.