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Cited by 201

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Blocking NF-κB: An Inflammatory Issue

Open access
Rahman, Arshad, Fazal, Fabeha·2011·Proceedings of the American Thoracic Society

Abstract

The nuclear factor (NF)-κB is considered the master regulator of inflammatory responses. Studies in mouse models have established this transcription factor as an important mediator of many inflammatory disease states, including pulmonary diseases such as acute lung injury and acute respiratory distress syndrome. Endothelial cells provide the first barrier for leukocytes migrating to the inflamed sites and hence offer an attractive cellular context for targeting NF-κB for treatment of these diseases. However, recent studies showing that NF-κB also plays an important role in resolution phase of inflammation and in tissue repair and homeostasis have challenged the view of therapeutic inhibition of NF-κB. This article reviews the regulation of NF-κB in the context of endothelial cell signaling and provides a perspective on why “dampening” rather than “abolishing” NF-κB activation may be a safe and effective treatment strategy for inflammation-associated pulmonary and other inflammatory diseases.

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Metadata

Authors
Rahman, A., & Fazal, F.
Venue
Proceedings of the American Thoracic Society
Published
2011-11-01
Volume
8
Issue
6
Pages
497-503
ISSN
  • 1546-3222 (ISSN-L)
  • 1943-5665
OpenAlex
W2093975408
Cited by
201
References
6
FWCI
3.63
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Blocking NF-κB: An Inflammatory Issue. https://app.cochat.ai/papers/10.1513/pats.201101-009mw
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Rahman, A., & Fazal, F. (2011). Blocking NF-κB: An Inflammatory Issue. Proceedings of the American Thoracic Society. https://doi.org/10.1513/pats.201101-009mw

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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.