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Usage Information

A novel therapy for colitis utilizing PPAR-γ ligands to inhibit the epithelial inflammatory response
Chinyu G. Su, Xiaoming Wen, Shannon T. Bailey, Wen Jiang, Shamina M. Rangwala, Sue A. Keilbaugh, Anne Flanigan, Sreekant Murthy, Mitchell A. Lazar, Gary D. Wu
Chinyu G. Su, Xiaoming Wen, Shannon T. Bailey, Wen Jiang, Shamina M. Rangwala, Sue A. Keilbaugh, Anne Flanigan, Sreekant Murthy, Mitchell A. Lazar, Gary D. Wu
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Article

A novel therapy for colitis utilizing PPAR-γ ligands to inhibit the epithelial inflammatory response

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Abstract

Peroxisome proliferator-activated receptor γ (PPAR-γ), a member of the nuclear hormone receptor superfamily originally shown to play a critical role in adipocyte differentiation and glucose homeostasis, has recently been implicated as a regulator of cellular proliferation and inflammatory responses. Colonic epithelial cells, which express high levels of PPAR-γ protein, have the ability to produce inflammatory cytokines that may play a role in inflammatory bowel disease (IBD). We report here that PPAR-γ ligands dramatically attenuate cytokine gene expression in colon cancer cell lines by inhibiting the activation of nuclear factor-κB via an IκB-α–dependent mechanism. Moreover, thiazolidinedione ligands for PPAR-γ markedly reduce colonic inflammation in a mouse model of IBD. These results suggest that colonic PPAR-γ may be a therapeutic target in humans suffering from IBD.

Authors

Chinyu G. Su, Xiaoming Wen, Shannon T. Bailey, Wen Jiang, Shamina M. Rangwala, Sue A. Keilbaugh, Anne Flanigan, Sreekant Murthy, Mitchell A. Lazar, Gary D. Wu

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Usage data is cumulative from July 2025 through July 2026.

Usage JCI PMC
Text version 1,426 79
PDF 168 31
Figure 368 8
Citation downloads 147 0
Totals 2,109 118
Total Views 2,227
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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