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IMMUNOLOGY, HEALTH, AND DISEASE: Research Note |

* Department of Animal Science, Iowa State University, Ames 50011; and
Institute for Animal Health, Compton, Berkshire RG20 7NN, UK
2 Corresponding author: sjlamont{at}iastate.edu
| ABSTRACT |
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Key Words: chicken Salmonella Enteritidis cytokine expression in vitro
| INTRODUCTION |
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The natural route of S. Enteritidis invasion occurs via oral exposure, after which the bacteria traverse the intestinal epithelial cell wall leading to an inflammatory response involving immune cell migration to the cecal lamina propria (van Immerseel et al., 2002). Either by invasion or through phagocytosis, intracellular S. Enteritidis in macrophages can lead to systemic infection (Gast and Benson, 1996; Desmidt et al., 1998). To begin to understand the complex immune response that occurs in systemic infections, the functions of isolated cells need to be examined (Kaiser et al., 2000; Swaggerty et al., 2004). In the present study, we evaluated effects of chicken genetic line, in vitro exposure to S. Enteritidis, and postexposure cell harvest time on peripheral blood mononuclear cell (PBMC) expression of IL-2, IL-6, CXCLi2, and TGF-ß4 mRNA.
| MATERIALS AND METHODS |
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Cell Collection, Culture, and S. Enteritidis Exposure
Whole blood (20 mL) was collected via wing-vein puncture into an EDTA-containing tube. The blood was layered on 1077 Histopaque (1077-1, Sigma-Aldrich, St. Louis, MO) and spun at 400 x g for 30 min. Mononuclear cells were collected from the gradient interface, and plasma suspension combined and washed 3 times with antibiotic-free RPMI 1640 (R0883, Sigma-Aldrich). Cell viability and number were determined by trypan blue exclusion. Cells from each bird were plated into 12 individual wells of 6-well plates (3516, Corning Costar, Acton, MA) at 5 x 107 cells/mL in 5 mL of antibiotic-free RPMI 1640 supplemented with L-Gln (50 mM; G-5763, Sigma-Aldrich) and 10% fetal bovine serum (511150, Atlanta Biological, GA) and cultured overnight (41°C, 5% CO2). Salmonella Enteritidis phage type 13a, in log growth phase, was suspended in RPMI 1640 at 5 x 108 cfu/mL (Kaiser and Lamont, 2002). Either 100 µL of S. Enteritidis or culture medium was added to each well after overnight culture of the PBMC. The PBMC were harvested 2 and 4 h postexposure (Kaiser et al., 2000). There were 3 wells per bird per exposure treatment per postexposure cell harvest time.
RNA Isolation
Cells were harvested from each well by pipetting the medium up and down several times to suspend the non-adherent cells. The nonadherent cells and media were centrifuged at 800 x g for 2 min, and the resulting pellet was resuspended in 1 mL of Trizol (10296028, Invitrogen, Carlsbad, CA). Each Trizol-cell mixture was then added back to the same culture plate well to lyse and recover RNA from the adherent cells. The resulting Trizol mixture was extracted with chloroform then precipitated with isopropanol. The RNA pellet was briefly washed with 75% ethanol then resuspended in RNase-free water (10977-015, Invitrogen). The RNA concentration was determined by spectrophotometry and diluted to 50 ng/µL.
Quantitative Real-Time Reverse Transcription PCR
Expression levels of mRNA were determined for each individual bird in a 2 x 2 factorial design of postexposure times (2 and 4 h) and treatment (S. Enteritidis exposed and unexposed). Relative quantification of IL-2, IL-6, CXCLi2, and TGF-ß4 mRNA expression was conducted by real-time reverse transcriptase PCR (RT-PCR), using the QuantiTect SYBR Green RT-PCR system (204-243, Qiagen, Waltham, MA). The real-time RT-PCR protocol was modified from a previous report (Kaiser et al., 2000). The RT-PCR mixture consisted of 50 ng/µL of total RNA, 25 µL of QuantiTect SYBR Green Master Mix (Qiagen), primers, 0.5 µL of QuantiTect RT mix (Qiagen), and RNase-free water to a final volume of 50 µL. Primers were used at the following final concentrations: IL-2, 0.4 µM; IL-6, 0.2 µM; CXCLi2, 0.1 µM; TGF-ß4, 0.1 µM; and 28S, 0.6 µM. Primer sequences have been previously reported (Kaiser et al., 2000; Kogut et al., 2003), and primer sets were designed so that at least 1 primer annealed across an exon-exon boundary. Each PCR plate contained target genes and 28S rRNA (concentration standard) in triplicate, a serial dilution of target-specific RNA to generate a standard curve, and a no-template negative control. Real-time RT-PCR was carried out on an Icycler (Bio-Rad, Hercules, CA) with the following program: 1 cycle at 50°C for 30 min, 95°C for 15 min, followed by 40 cycles of 94°C for 15 s, 59°C for 30 s, and 72°C for 30 s. The cycle at which the sample amplicon reporter dye concentration crossed a preset threshold was recorded as the cycle threshold (Ct) value. To convey the inverse relationship between starting template concentration and Ct value, results were expressed and analyzed as a 40 Ct value, and to adjust for template concentration and for PCR efficiency, the following equation was used:
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where Mean 40 Cttarget = the triplicate mean of 40 Ct value; Slopetarget = the slope from the standard curve regression equation for the target gene; 28S df = the triplicate mean of 28S/overall mean for all 28S values within the experiment; and Slope28S = the slope from the standard curve regression equation for the 28S gene.
Statistical Analysis
The relative amount of mRNA expression of each gene (expressed as adjusted Ct value) was analyzed by GLM with JMP Version 5.1.1 software (SAS Institute, 2004). Fixed main effects included genetic line (broiler, Leghorn, Fayoumi), postexposure cell harvest time (2 h, 4 h), and treatment (S. Enteritidis exposure or nonexposure) with PCR plate (n = 6) as a random effect. Two-way interactions were included in the final model for a gene for all fixed main effects, for which the interaction P-value was
0.1. One data point (from TGF-ß4, a Fayoumi 2-h nonexposed sample) was excluded from analysis, because the adjusted Ct value exceeded twice the overall mean + SD. Tukeys honestly statistical differences (HSD) test (SAS Institute, 2004) was performed for multiple comparisons of least square means if the main effect or interaction was significant. Differences were considered significant at P
0.05.
| RESULTS AND DISCUSSION |
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There were no significant differences detected for expression of IL-2 mRNA in this study (Table 1
). This does not preclude IL-2 playing a role in host immune response to S. Enteritidis at other times or in other tissues or cells. The experimental design of this study, with exposure of the PBMC to S. Enteritidis for a maximum of 4 h, was directed toward measuring an early innate immune response and not T-cell proliferative cytokines, such as IL-2. However, the IL-2 mRNA level was downregulated by in vitro S. Enteritidis exposure in primary CKC after 4 h of postexposure (Kaiser et al., 2000).
The only 2-way interaction at or near significance was genetic line X postexposure time, which affected IL-6 and TGF-ß4 RNA expression levels (Table 1
). More statistically stringent analysis for multiple comparisons by Tukeys HSD, however, found no significant differences among the 6 genetic line time x comparisons for IL-6 mRNA expression (data not shown). For combined data of exposed and nonexposed PBMC, TGF-ß4 mRNA expression levels from broilers at 2 h postexposure were significantly different from Fayoumi at 2 h postexposure, with no other genetic line X time comparisons differing as determined by Tukey HSD.
In the present study, both proinflammatory (IL-6, CXCLi2) and antiinflammatory (TGF-ß4) responses in PBMC were significantly downregulated as a result of S. Enteritidis exposure. The conventional paradigm for inflammatory responses is for inverse expression of proinflammatory and antiinflammatory cytokines (Stober et al., 1997), as was observed for in vitro experiments using heterophils isolated from commercial lines of birds that differed for resistance to Salmonella infection (Swaggerty et al., 2004). In vitro S. Enteritidis exposure of heterophils from outbred Rhode Island Red chickens, however, resulted in simultaneous upregulation of both proinflammatory (IL-6, CXCLi2) and antiinflammatory (TGF-ß4) cytokine mRNA expression (Kogut et al., 2003). Kogut et al. (2003) also reported opsonization-dependent regulation of proinflammatory interleukin-1ß mRNA expression, in which serum opsonization resulted in downregulation, and both nonopsonization and IgG opsonization resulted in upregulation. These varied findings underscore the usefulness of evaluating defined and diverse chicken genetic lines to understand the specific relationship of proinflammatory and antiinflammatory cytokine mRNA expression to pathogen exposure. They also suggest the value of measuring heterogeneous cell cultures in which cells produce cytokines within the context of the activity of other cell types. The current study suggests that the initial encounter with S. Enteritidis results in suppression of both proinflammation and antiinflammation immune response in PBMC.
The cytokines measured in the present study were expressed by PBMC at detectable levels without bacterial exposure. This baseline expression has been observed in heterophil (Kogut et al., 2003) and CKC cultures (Kaiser et al., 2000). It is not possible to determine, from these collective studies, if the cytokines are constitutively expressed by PBMC or if the expression is a result of the isolation and culture conditions.
Previous studies of cytokine mRNA expression in response to S. Enteritidis in vitro exposure used homogeneous cell cultures of isolated heterophils (Kogut et al., 2002, 2003; Swaggerty et al., 2004) or CKC (Kaiser et al., 2000). The present study evaluated cytokine mRNA expression of a heterogeneous PBMC cell population, providing an assessment of the combined response of diverse types of host cells to S. Enteritidis exposure and thereby expanding our understanding of cell interactions and avian cytokine function in host immunity.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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Received for publication December 16, 2005. Accepted for publication June 9, 2006.
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