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Cited by 303

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Hydrogen sulfide and inflammation: the good, the bad, the ugly and the promising

Open access
Whiteman, Matthew, Winyard, Paul G·2011·Expert Review of Clinical Pharmacology

Abstract

Hydrogen sulfide is rapidly gaining ground as a physiological mediator of inflammation, but there is no clear consensus as to its precise role in inflammatory signaling. This article discusses the disparate anti-inflammatory ('the good') and proinflammatory ('the bad') effects of endogenous and pharmacological H(2)S in disparate animal model and cell culture systems. We also discuss 'the ugly', such as problems of using wholly specific inhibitors of enzymatic H(2)S synthesis, and the use of pharmacological donor compounds, which release H(2)S too quickly to be physiologically representative of endogenous H(2)S synthesis. Furthermore, recently developed slow-release H(2)S donors, which offer a more physiological approach to understanding the complex role of H(2)S in acute and chronic inflammation ('the promising') are discussed.

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Metadata

Authors
Whiteman, M., & Winyard, P. G.
Venue
Expert Review of Clinical Pharmacology
Published
2011-01
Volume
4
Issue
1
Pages
13-32
ISSN
  • 1751-2433 (ISSN-L)
  • 1751-2441
OpenAlex
W2089389631
Cited by
303
References
5
FWCI
5.95
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Hydrogen sulfide and inflammation: the good, the bad, the ugly and the promising. https://app.cochat.ai/papers/10.1586/ecp.10.134
The paper
Whiteman, M., & Winyard, P. G. (2011). Hydrogen sulfide and inflammation: the good, the bad, the ugly and the promising. Expert Review of Clinical Pharmacology. https://doi.org/10.1586/ecp.10.134

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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.