| Literature DB >> 19662206 |
Marc A Williams1, Chris Cheadle, Tonya Watkins, Anitaben Tailor, Smruti Killedar, Patrick Breysse, Kathleen C Barnes, Steve N Georas.
Abstract
In many subjects who are genetically susceptible to asthma, exposure to environmental stimuli may exacerbate their condition. However, it is unknown how the expression and function of a family of pattern-recognition receptors called toll-like receptors (TLR) are affected by exposure to particulate pollution. TLRs serve a critical function in alerting the immune system of tissue damage or infection-the so-called "danger signals". We are interested in the role that TLRs play in directing appropriate responses by innate immunity, particularly dendritic cells (DC), after exposing them to particulate pollution. Dendritic cells serve a pivotal role in directing host immunity. Thus, we hypothesized that alterations in TLR expression could be further explored as potential biomarkers of effect related to DC exposure to particulate pollution. We show some preliminary data that indicates that inhaled particulate pollution acts directly on DC by down-regulating TLR expression and altering the activation state of DC. While further studies are warranted, we suggest that alterations in TLR2 and TLR4 expression should be explored as potential biomarkers of DC exposure to environmental particulate pollution.Entities:
Keywords: Dendritic Cell; Inflammation; Particulate Matter; Pollution; Toll-Like Receptors
Year: 2007 PMID: 19662206 PMCID: PMC2717830
Source DB: PubMed Journal: Biomark Insights ISSN: 1177-2719
Figure 1Flow cytometric quantitation of the functionally-important molecules MHC class II/HLA-DR (A), CD83 (B) CD80 (C) and CD86 (D) on the cell surface of resting and stimulated DC. DC were dose-dependently stimulated with APM and contaminating doses of LPS found in APM. In addition, we show the expression of these cell surface-expressed molecules on DC following their interaction with APM (100μg/ml), high-dose LPS (5000 pg/ml) and CD40L (50ng/ml) for 48 hours as indicated in the bar charts inset. Data is recorded as geometric mean fluorescence intensity (FI) units or percent fluorescent positive cells as appropriate ± SD. The levels of significance shown are: * P < 0.05 and ** P < 0.01 as compared with resting DC.
Figure 2Flow cytometric quantitation of the cell-surface expression of (A) TLR2 and (B) TLR4 for resting and stimulated DC as in Figure 1. Data is recorded as geometric mean fluorescence intensity (FI) units ± SD. The levels of significance shown are: ** P < 0.01 or as *** P < 0.001 as compared with resting DC. In addition, we show the expression of TLRs following their interaction with APM (100μg/ml), high-dose LPS (100ng/ml) and CD40L (50ng/ml) for 48 hours as indicated in these original flow cytometric histograms (C).
Figure 3Immunoflourescent microscopic images of TLR2 (A and B) and TLR4 (C and D) expression by resting (A and C) and APM stimulated (B and D) dendritic cells. Note the rather focused expression of TLR2 proximal to the nucleus (A) while the expression of TLR4 shows a more peripheral and concentric pattern of expression (C). The expression of both TLR2 and TLR4 are lost following exposure to APM (B and D).
Figure 4This data shows linear views of the signal amplification plots generated by real time PCR for selected subsets of genes. RNA samples were tested by RT-PCR using Sybr Green I dye and PCR-primer formats arrayed on 96-well micro-titer plates (SuperArray RT-Profiler). An entire panel of genes corresponding either to the Toll-like Receptors and their associated pathway genes (A) or inflammatory cytokines, their receptors, and associated pathway genes (B) were tested. The methodological approach is described in the text.
Figure 5This figure reports out directly the ΔCt values for all genes which showed a 2-fold or greater change in gene expression between control and induced samples as measured either on the Toll-like Receptor SuperArrays (A) or for the Inflammatory Cytokine SuperArrays (B). Regulated genes on each array are shown rank-ordered from the largest positive to the largest negative change.