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Diet-induced obesity reprograms the inflammatory response of the murine lung to inhaled endotoxin.

Authors :
Tilton SC
Waters KM
Karin NJ
Webb-Robertson BJ
Zangar RC
Lee KM
Bigelow DJ
Pounds JG
Corley RA
Source :
Toxicology and applied pharmacology [Toxicol Appl Pharmacol] 2013 Mar 01; Vol. 267 (2), pp. 137-48. Date of Electronic Publication: 2013 Jan 07.
Publication Year :
2013

Abstract

The co-occurrence of environmental factors is common in complex human diseases and, as such, understanding the molecular responses involved is essential to determine risk and susceptibility to disease. We have investigated the key biological pathways that define susceptibility for pulmonary infection during obesity in diet-induced obese (DIO) and regular weight (RW) C57BL/6 mice exposed to inhaled lipopolysaccharide (LPS). LPS induced a strong inflammatory response in all mice as indicated by elevated cell counts of macrophages and neutrophils and levels of proinflammatory cytokines (MDC, MIP-1γ, IL-12, RANTES) in the bronchoalveolar lavage fluid. Additionally, DIO mice exhibited 50% greater macrophage cell counts, but decreased levels of the cytokines, IL-6, TARC, TNF-α, and VEGF relative to RW mice. Microarray analysis of lung tissue showed over half of the LPS-induced expression in DIO mice consisted of genes unique for obese mice, suggesting that obesity reprograms how the lung responds to subsequent insult. In particular, we found that obese animals exposed to LPS have gene signatures showing increased inflammatory and oxidative stress response and decreased antioxidant capacity compared with RW. Because signaling pathways for these responses can be common to various sources of environmentally induced lung damage, we further identified biomarkers that are indicative of specific toxicant exposure by comparing gene signatures after LPS exposure to those from a parallel study with cigarette smoke. These data show obesity may increase sensitivity to further insult and that co-occurrence of environmental stressors result in complex biosignatures that are not predicted from analysis of individual exposures.<br /> (Copyright © 2012. Published by Elsevier Inc.)

Details

Language :
English
ISSN :
1096-0333
Volume :
267
Issue :
2
Database :
MEDLINE
Journal :
Toxicology and applied pharmacology
Publication Type :
Academic Journal
Accession number :
23306164
Full Text :
https://doi.org/10.1016/j.taap.2012.12.020