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NF-kappaB signaling: pros and cons of altering NF-kappaB as a therapeutic approach.

Authors: Laurence J, Egan; Murat, Toruner;

NF-kappaB signaling: pros and cons of altering NF-kappaB as a therapeutic approach.

Abstract

The transcription factor, nuclear factor-kappaB (NF-kappaB), is a dominant regulator of the expression of hundreds of genes, many of which play important roles in the regulation of inflammation and programmed cell death (apoptosis). Since the discovery of NF-kappaB in the mid 1980s, this transcription factor has been the subject of intense investigation. Excess or inappropriate activation of NF-kappaB has been observed in human inflammatory bowel disease and in a host of other inflammatory diseases and type of cancer. Functional studies in animals have shed light on the role of NF-kappaB in broader pathophysiological contexts. From such studies, it has become quite clear that NF-kappaB plays unique and distinct functions in different cell types. Because of the importance of NF-kappaB in signaling inflammation, and in inhibiting programmed cell death, many pharmaceutical companies are developing small-molecule inhibitors of this pathway. In this article, we evaluate the relative pros and cons of blocking NF-kappaB as a therapeutic approach for inflammatory bowel disease. On the basis of the results of studies in animals that have primarily used genetic approaches to inhibit NF-kappaB activity, we suggest that there are certain niche indications for blocking NF-kappaB in inflammatory bowel disease that offer particular promise.

Keywords

Disease Models, Animal, Mice, NF-kappa B, Animals, Humans, Inflammatory Bowel Diseases, Signal Transduction

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
43
Top 10%
Top 10%
Top 10%
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