4.6 Review

The effect of smoking on intestinal inflammation: What can be learned from animal models?

Journal

JOURNAL OF CROHNS & COLITIS
Volume 6, Issue 1, Pages 1-12

Publisher

OXFORD UNIV PRESS
DOI: 10.1016/j.crohns.2011.09.006

Keywords

Inflammatory bowel disease; Cigarette smoke; Nicotine Oxidative stress; Inflammation-associated neoplasia; Animal model

Funding

  1. Ghent University [01D21009, BOF 10/GOA/021]

Ask authors/readers for more resources

Epidemiological evidence demonstrates that smoking is the most important environmental risk factor in Crohn's disease while it positively interferes with the disease course of ulcerative colitis. However, the underlying mechanisms through which smoking exerts this divergent effect and affects pathogenesis of inflammatory bowel disease are largely unknown. Animal smoke models are good models to investigate the impact of cigarette smoke on intestinal physiology and inflammation. They enable one to explore the interaction of smoke components and the gut on cellular and molecular level, clarifying how smoking interferes with normal gut function and with disease course in inflammatory conditions. This review describes the currently used animal models for studying the impact of cigarette smoke on the intestinal tract. We first discuss the different methods for simulation of smoking. Furthermore, we focus on the effect of smoke exposure on normal gut physiology and immunology, on experimental (entero)colitis, and on inflammation-induced neoplasia. Based on this current knowledge, a hypothesis is formulated about the mechanisms through which cigarette smoke interferes with the gut in normal and pathological conditions. (C) 2011 European Crohn's and Colitis Organisation. Published by Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available