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Cited by 366

The DOI matches its Crossref record; 209 of the 209 references it cites were found in a registry or an index.

The Reactive Species Interactome: Evolutionary Emergence, Biological Significance, and Opportunities for Redox Metabolomics and Personalized Medicine

Open access
Cortese-Krott, Miriam M., Koning, Anne, Kuhnle, Gunter G.C., Nagy, Peter, Bianco, Christopher L., Pasch, Andreas, Wink, David A., Fukuto, Jon M., Jackson, Alan A., van Goor, Harry, Olson, Kenneth R., Feelisch, Martin·2017·Antioxidants & Redox Signaling

Abstract

SIGNIFICANCE: Oxidative stress is thought to account for aberrant redox homeostasis and contribute to aging and disease. However, more often than not, administration of antioxidants is ineffective, suggesting that our current understanding of the underlying regulatory processes is incomplete. Recent Advances: Similar to reactive oxygen species and reactive nitrogen species, reactive sulfur species are now emerging as important signaling molecules, targeting regulatory cysteine redox switches in proteins, affecting gene regulation, ion transport, intermediary metabolism, and mitochondrial function. To rationalize the complexity of chemical interactions of reactive species with themselves and their targets and help define their role in systemic metabolic control, we here introduce a novel integrative concept defined as the reactive species interactome (RSI). The RSI is a primeval multilevel redox regulatory system whose architecture, together with the physicochemical characteristics of its constituents, allows efficient sensing and rapid adaptation to environmental changes and various other stressors to enhance fitness and resilience at the local and whole-organism level. CRITICAL ISSUES: To better characterize the RSI-related processes that determine fluxes through specific pathways and enable integration, it is necessary to disentangle the chemical biology and activity of reactive species (including precursors and reaction products), their targets, communication systems, and effects on cellular, organ, and whole-organism bioenergetics using system-level/network analyses. FUTURE DIRECTIONS: Understanding the mechanisms through which the RSI operates will enable a better appreciation of the possibilities to modulate the entire biological system; moreover, unveiling molecular signatures that characterize specific environmental challenges or other forms of stress will provide new prevention/intervention opportunities for personalized medicine. Antioxid. Redox Signal. 00, 000-000.

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Metadata

Authors
Cortese-Krott, M. M., Koning, A., Kuhnle, G. G. C., Nagy, P., Bianco, C. L., Pasch, A., Wink, D. A., Fukuto, J. M., Jackson, A. A., van Goor, H., Olson, K. R., & Feelisch, M.
Venue
Antioxidants & Redox Signaling
Published
2017-10
Volume
27
Issue
10
Pages
684-712
ISSN
  • 1523-0864 (ISSN-L)
  • 1557-7716
OpenAlex
W2605928831
Cited by
366
References
209
FWCI
10.68
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The Reactive Species Interactome: Evolutionary Emergence, Biological Significance, and Opportunities for Redox Metabolomics and Personalized Medicine. https://app.cochat.ai/papers/10.1089/ars.2017.7083
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Cortese-Krott, M. M., Koning, A., Kuhnle, G. G. C., Nagy, P., Bianco, C. L., Pasch, A., Wink, D. A., Fukuto, J. M., Jackson, A. A., van Goor, H., Olson, K. R., & Feelisch, M. (2017). The Reactive Species Interactome: Evolutionary Emergence, Biological Significance, and Opportunities for Redox Metabolomics and Personalized Medicine. Antioxidants & Redox Signaling. https://doi.org/10.1089/ars.2017.7083

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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.