Mediators of Inflammation

Volume 2013 (2013), Article ID 808470, 11 pages

http://dx.doi.org/10.1155/2013/808470

Research Article

Differential Regulation of Inflammation and Immunity in Mild and Severe Experimental Asthma

Seil Sagar,1,2 Kim A. T. Verheijden,¹ Niki A. Georgiou,² Johan Garssen,1,2 Aletta D. Kraneveld,¹ Arjan P. Vos,² and Gert Folkerts¹

¹Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, P.O. Box 80082, 3508 TB Utrecht, The Netherlands

²Danone Research, Centre for Specialised Nutrition, 6704 PH Wageningen, The Netherlands

Received 14 January 2013; Revised 15 March 2013; Accepted 4 April 2013

Academic Editor: Alex Kleinjan

Copyright © 2013 Seil Sagar et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

This study aimed at exploring innate and adaptive immunity in allergic asthma by investigation of mRNA expression of pattern recognition receptors, T-cell-specific cytokines, and transcription factors. Mouse models for mild and severe asthma, with similar pathological characteristics observed in humans, were used to study the involved inflammatory markers as a first step in the development of phenotype-directed treatment approaches. In the mild model, mice were sensitized to ovalbumin-Imject Alum and challenged with ovalbumin. In the severe model, mice were sensitized to trinitrophenyl-conjugated ovalbumin and challenged with trinitrophenyl-ovalbumin/IgE immune complex. Pulmonary airway inflammation and mRNA expression of Toll-like receptors (TLRs), NOD-like receptors (NLRs), T cell cytokines, and transcription factors in lung tissue were examined. Different mRNA expression profiles of TLRs, NLRs, T cell cytokines, and transcription factors were observed. In the mild model, Il10 showed the largest increase in expression, whereas in the severe model, it was Inf γ with the largest increase. Expression of Tbet was also significantly increased in the severe model. Inflammation and immunity are differentially regulated in mild and severe experimental asthma. This preclinical data may help in directing clinical research towards a better understanding and therapy in mild and severe asthmatic patients.

1. Introduction

Asthma is a chronic inflammatory disease of the airways affecting over 300 million people worldwide, and its prevalence is rising, especially in children and within developing countries [1]. New studies indicated that in allergic disorders, including asthma, innate immunity is deregulated by allergens that promote sensitization [2]. However, the underlying immunological processes are still not fully understood as asthma is a complex multifactorial disease in which both innate and adaptive immune responses are involved [3]. In addition, asthma is considered as a complex syndrome with different clinical phenotypes in children and adults. Eosinophils and neutrophils play a key role in the cellular airway inflammation [4, 5]. The different phenotypes of asthma have distinct immunological and pathological features. Mild asthma is characterized by chronic inflammation of the airways that is mostly eosinophilic in nature and allergic sensitization. The resulting airway inflammation is thought to be caused by a breakdown of immune tolerance toward environmental antigens and leads to a T helper type 2(Th2)-biased immune response [6]. On the contrary, neutrophil accumulation in the bronchial mucosa is an important feature of severe asthma and frequently includes a T helper type 1(Th1) component as well as a Th2 immune response [4, 6]. This heterogeneity highlights the importance of more specific treatment approaches based on asthma phenotypes.

Pattern recognition receptors (PRRs), like the Toll-like (TLRs) and NOD-like (NLRs) families of receptors, are key components of the innate immune system. These PRRs exhibit different cell and stimulus-specific patterns of expression [7]. In the human airways, TLRs are expressed in and on dendritic cells (DCs), epithelial cells, eosinophils, macrophages, and mast cells [8]. NOD1 and NOD2 are intracellular pattern recognition molecules (PRMs) expressed in various human epithelial cells including lung cells [9]. Multiple DC functions are controlled by PRRs and, ultimately, modulate the resulting adaptive immune response [8, 10]. Upon PRR activation in the lung, various chemokines and cytokines are produced by mast cells and eosinophils that recruit activated B-lymphocytes and Th lymphocytes to the lung, starting the inflammation process in the airways [11].

Mast cells express the high-affinity receptors (FcεRI) for immunoglobulin E (IgE) on their surface, and animal studies have demonstrated that mast cells play an important role in the induction of allergic airway inflammation [12]. In addition, asthmatic patients have been shown to have an increased number of lung mast cells and allergen-specific IgE, a phenomenon of allergic asthma shared with mouse models for this disease [13]. In order to reproduce more of the clinical features of severe asthmatic patients, there has been a focus on using IgE immune complexes as inducers of immune responses in the murine lung. Trinitrophenyl-(TNP-) ovalbumin-(OVA-) IgE immune complexes have been shown to be more potent inducers of immune responses than antigens alone, since challenge of sensitized mice with these complexes resulted in an increased migration of mast cell progenitors to the lung [12, 13].

The expression and function of PRRs have been linked to susceptibility towards allergic asthma [2, 14]. Functional genetic variations in TLR1, TLR6, and TLR10 genes affecting gene and protein expression have been shown to be associated with increased mRNA expression of these TLRs and to protect against atopic asthma in humans [14]. Single nucleotide polymorphisms (SNPs) in the TLR2 gene that led to decreased mRNA expression were positively associated with asthma susceptibility [15]. Cord blood CD34 (+) cells from high-atopic-risk infants exhibited low TLR2, TLR4, and TLR9 expressions [16]. Additionally, amino acid changes in the TLR2 gene have been linked to reduced TLR2 receptor function and to increase in atopy risk in humans [17]. Tlr3 contributes to asthma exacerbation in mice [18]. A study in a murine macrophage cell line suggested a proinflammatory role of Tlr4 and 5 in the disease [19]. Animal studies have demonstrated that the dose of the Tlr4 ligand, lipopolysaccharide (LPS), determines the type of inflammatory response generated and that lung epithelial cells activation by Tlr4 is crucial for induction of airway inflammation via activation of mucosal DCs [20–22]. TLR7 and 8 were identified as novel risk genes for asthma [23]. TLR9 is one of the most extensively studied TLRs in asthma, and it is currently thought to modulate allergic responses by skewing the balance from a Th2 towards a Th1 response [24]. In addition, SNPs in the TLR9 gene were associated with increased risk of asthma [25]. TLR11, 12, and 13 are not encoded in the human genome, and there are currently no data on associations with asthma in mice [14]. Insertion-deletion polymorphisms in the NOD1 gene have been associated with increased risk of developing asthma, and genetic variations in NOD1 that affected microbial recognition were positively associated with disease susceptibility and pathogenesis [26, 27]. Polymorphisms in NOD2, that affected LPS recognition and TLR4 function, were associated with atopic diseases and were suggested to indirectly increase the severity of asthma [28].

In asthma, over 50 cytokines have now been identified to determine disease outcome. Proinflammatory and Th2-associated cytokines, including interleukin-4 (IL-4), IL-5, IL-6, IL-13, and tumor necrosis factor α (TNF-α), are reported to enhance the disease. On the other hand, interferon-γ (IFNγ), a Th1-associated cytokine, was reported to reduce the symptoms of asthma in asthmatic patients [11]. In addition, asthmatic patients have been shown to have reduced levels of the anti-inflammatory cytokine IL-10 in the sputum. IL-10 is produced by macrophages and by a subset of regulatory T cells (Tregs) and exerts its effects by inhibiting the synthesis of inflammatory cytokines (including asthma-associated cytokines such as TNF-α and IL-5) and gene presentation [29]. Th2 cells play a key role in asthma, and asthmatic subjects have been reported to have Th1/Th2 imbalances as well as disturbed T helper type 17 (Th17)/Treg balances [30]. Each Th cell type is regulated by a specific transcription factor: Tbet for Th1 cells, GATA-3 for Th2 cells, retinoic acid orphan receptor-γt (RORγt) for Th17 cells, and forkhead box P3 (Foxp3) for Tregs [31]. Animal and human studies have demonstrated that alterations in expression and/or of functions of these transcription factors can contribute to asthma pathogenesis [32, 33].

The aim of this current study is to explore the innate and adaptive immune responses and inflammation in allergic asthma by investigation of the mRNA expression profiles of the different PRRs, T cell-related cytokines, and transcription factors. To this end, we have used a mouse model for both mild allergy and severe asthma with similar pathological characteristics seen in humans. Findings from this observational study may contribute to elucidating the underlying mechanisms of mild and severe asthma and the involved inflammatory markers, as a first step in the development of phenotype-directed treatment approaches.

2. Material and Methods

2.1. Animals

Male BALB/c mice (6–8 weeks; Charles River Laboratories, France) were acclimated to their new environment for at least 1 week before the start of the experiment. Mice were housed under standard conditions and had free access to food and water. All in vivo experiments were approved by and were in accordance with the guidelines of the local Dutch Committee of Animal Experimentation.

2.2. Mild Asthma Model

2.2.1. OVA Sensitization

Sensitizations were performed on days 0 and 7. Mice were sensitized to ovalbumin (OVA; chicken egg albumin, grade V, Sigma, St. Louis, MO, USA) by intraperitoneal injections of 0.1 mL alum-precipitated antigen, comprising 10 μg OVA absorbed into 2.25 mg alum (Imject Alum; Pierce, Rockford, IL, USA). Control animals received 0.1 mL saline only (NaCl 0.9%; B. Braun Medical BV, Oss, The Netherlands) (Figure 1).

Figure 1: Time schedule of the mild and severe allergic asthma mouse models. Mild model (white): male BALB/c mice were sensitized intraperitoneally with alum-precipitated OVA or saline only on days 0 and 7 and challenged with OVA or saline aerosol on days 35, 38, and 41; mice were sacrificed on day 42. Severe model (grey): male BALB/c mice were sensitized intraperitoneally with alum-precipitated TNP-OVA or saline only on days 0 and 7 and challenged intranasally with TNP-OVA/IgE immune complex or saline from day 14 up to and including day 20; mice were sacrificed on day 21.

2.2.2. OVA Challenge

Mice were exposed to 10 mg/mL OVA aerosol in saline using Pari LC Star nebulizer (PARI GmbH, Starnberg, Germany) in an aerosol cabin for 30 min on days 35, 38, and 41. Control animals were exposed to nebulized saline aerosol only (Figure 1).

2.3. Severe Asthma Model

2.3.1. TNP-OVA Sensitization

Sensitizations were performed on days 0 and 7. Mice were sensitized with trinitrophenyl-(TNP-) conjugated OVA by intraperitoneal injections of 0.1 mL alum-precipitated antigen, comprising 10 μg TNP-OVA absorbed into 2.25 mg alum. Control animals received 0.1 mL saline only (Figure 1).

2.3.2. TNP-OVA-IgE Challenge

From day 14 up to and including day 20, mice were challenged daily by intranasal administration of a TNP-ovalbumin/IgE immune complex (2 μg TNP-OVA plus 20 μg DNP-specific IgE (clone H1 26.82)), as described previously [34]. Control animals received 50 μL of saline only (Figure 1).

2.4. Bronchoalveolar Lavage

After sacrifice, on day 42 (mild model) or 21 (severe model), lungs were first washed through a tracheal cannula with 1 mL saline containing protease inhibitor cocktail (Complete Mini, Roche Diagnostics, Mannheim, Germany) and prewarmed at 37°C. This was repeated 3 times with 1 mL saline only. Cytospin cell preparations were made by cytospinning the cells onto glass for 5 min (400 g, 4°C), and cytospins were stained by Diff-Quick (Merz and Dade AG, Düdingen, Switzerland). Numbers of eosinophils, macrophages, neutrophils, and lymphocytes were scored by light microscopy.

2.5. RNA Isolation and Quantitative Real-Time PCR

After mice were sacrificed, on day 42 or 21, the lungs were dissected, and mRNA was isolated from whole lung tissue. Messenger RNA isolation ( mice per group) was carried out according to the Qiagen RNeasy Mini Kit protocol (Qiagen Benelux BV, Venlo, the Netherlands). Reverse transcriptase PCR was performed using an iScript cDNA Synthesis Kit (Bio-Rad Laboratories, Hercules, CA, USA). The reactions were performed in a PTC-100TM Programmable Thermal Controller (M. J. Research Inc., Waltham, MA, USA) according to manufacturer's protocol.

cDNA was amplified using iQ SYBR Green Supermix in a 96-well PCR plate and run in a CFX96 Real-Time PCR Detection System (Bio-Rad). Primers for TLRs, NLRs, ribosomal protein S13 (RPS13, reference gene), and T-cell transcription factors were purchased by Isogen (Isogen Life Science, De Meern, The Netherlands). The Sequences are listed in Supplementary Table 1 available online at http://dx.doi.org/10.1155/2013/808470. For mouse T-cell cytokines, RT² qPCR Primer Assays (SABiosciences, Venlo, The Netherlands) were used. The protocol used for amplification was 94°C for 3 min, 94°C for 10 sec, and specific melt temperature for 45 sec, followed by 39 cycles of 94°C for 10 sec and 95°C for 10 sec.

Normalized gene expression (ΔΔCT) was calculated using the built-in gene expression analysis module in CFX Manager software (CFX Manager software version 1.6).

2.6. Statistical Analysis

Data analysis was performed using a 1-way analysis of variance (one-way ANOVA) with the Bonferroni’s post hoc test. In some studies, the Student’s t-test was used. Linear regression analysis was used to calculate correlations. All statistical analyses were performed using the GraphPad Prism software program (GraphPad Prism software version 5.03).

3. Results

3.1. Allergen-Sensitized and Challenged Mice in the Severe Asthma Model Show Higher Total Inflammatory Cell Number

Mice were rendered asthmatic following the scheme presented in Figure 1. To examine the extent of pulmonary inflammation in the asthmatic mice, bronchoalveolar lavage (BAL) fluid was examined for leukocyte accumulation (Figure 2). In mild asthma, allergen-sensitized and challenged mice showed a significant increase in the total inflammatory cell number (Figure 2(a)) which was due to a relative increase in the number of lymphocytes and eosinophils (Figure 2(c)) in BAL fluid compared to challenged only mice. In severe asthma, a significantly higher total inflammatory cell number (Figure 2(b)) was observed in allergen-sensitized and challenged mice compared to challenged only mice, and this was due to a relative increase in the number of eosinophils (Figure 2(d)).

(a)

(b)

(c)

(d)

Figure 2: Total and differential BAL fluid cell counts in mild and severe allergic asthma. The total inflammatory cell number in BAL fluid is shown in (a) mild model and (b) severe model. The differential cell counts are shown as percentages of the total cell count in (c) mild model and (d) severe model. Results are presented as mean ± SEM,  mice/group. Student’s t-test was used to compare the means of the OVA-sensitized and challenged mice with the means of only challenged mice for each cell type, *; **; ***.

3.2. TLR and NLR mRNA Expression in Lung Tissue Is Differentially Modulated in Mild and Severe Asthma Models

As PRRs in the lung can modulate ongoing chronic inflammation during asthma, the mRNA expression of Tlr1-13 and Nod1 and 2 was measured (Figure 3). In the mild model, Tlr2 expression was significantly increased in control mice when compared to sensitized only, challenged only, and sensitized and challenged mice (Figure 3(a)). In the severe model, Tlr2 expression was significantly increased in challenged only mice when compared to control, sensitized only, and allergen-sensitized and challenged mice (Figure 3(a)). In addition, sensitized and challenged mice showed significantly higher Tlr1 expression when compared to sensitized only mice and significantly lower Nod1 expression in comparison to control mice (Figure 3(a)). In mild asthma, Tlr3 expression was significantly decreased in allergen-sensitized and challenged mice when compared to control mice (Figure 3(b)). In severe asthma, Tlr3 expression was significantly lower in sensitized and challenged mice but not in control, sensitized only, and challenged only mice (Figure 3(b)). In addition, Tlr7 expression was significantly higher in challenged only mice when compared to control and sensitized only mice (Figure 3(b)). The expression of Tlr11 and Tlr12 remained unchanged in both models (Figures 3(c) and 3(d)). Interestingly, in the severe model, the mRNA expression of Tlr1, Tlr3, Tlr6, Tlr9, Tlr11, Tlr13, Nod1, and Nod2 was significantly correlated with the total inflammatory cell number in BAL fluid (Table 1).

Table 1: Correlations between TLR and NLR mRNA expression in whole lung tissue and the total cell number in BAL fluid during mild and severe allergic asthma models.

TLR/NLR
Model
Correlation

Tlr1
Mild

Tlr1
Severe

Tlr3
Mild

Tlr3
Severe

Tlr6
Mild

Tlr6
Severe

Tlr9
Mild

Tlr9
Severe

Tlr11
Mild

Tlr11
Severe

Tlr13
Mild

Tlr13
Severe

Nod1
Mild

Nod1
Severe

Nod2
Mild

Nod2
Severe

Correlation is calculated using linear regression analysis. square values are shown for the statistically significant correlations; represents nonsignificant correlations.

(a) Receptors involved in innate defence against bacteria

(b) Receptors involved in innate defence against viruses

(c) Receptors involved in innate defence against parasites

(d) Orphan receptors

Figure 3: Relative TLR and NLR mRNA expression in mouse whole lung tissue during mild and severe allergic asthma. The results are presented as mRNA expression levels relative to control mice. Data is shown as mean ± SEM. Statistical significance of differences was tested using Bonferroni’s post hoc test after one-way ANOVA. compared to control mice; compared to sensitized only mice; compared to challenged only mice; and compared to OVA-sensitized and challenged mice.

3.3. Allergen Sensitization and Challenge in the Severe Asthma Model Enhance the mRNA Expression of Il5, Il6, and Il10 in Lung Tissue

To determine the extent of inflammation in the lung, the mRNA expression of various cytokines was measured (Table 2). In the severe model, the expression of almost all cytokines tended to be increased in TNP-OVA-sensitized and TNP-OVA/IgE-challenged mice when compared to OVA-sensitized and challenged mice in the mild model. Il10 expression was significantly increased in both models. In severe asthma, an 8 and 33-times higher Il5 and Il6 expressions, respectively, was observed in allergen-sensitized and challenged mice but not in control, sensitized only, and challenged only mice.

Table 2: Relative T-cell cytokine mRNA expression in mouse whole lung tissue during mild and severe allergic asthma.

Cytokine
Model
Control

a
Sensitized only

b
Challenged only

c
Sensitized and challenged

Il2
Mild
1.00 ± 0.02
2.24 ± 1.41
12.96 ± 9.17
11.63 ± 11.32

Il2
Severe
1.00 ± 0.14
1.21 ± 0.20
1.53 ± 0.55
90.66 ± 37.70

Il4
Mild
1.00 ± 0.21
1.95 ± 0.49
12.29 ± 8.58
27.71 ± 27.25

Il4
Severe
1.00 ± 0.05
1.00 ± 0.11
0.82 ± 0.31
43.38 ± 38.41

Il5
Mild
1.00 ± 0.01
2.91 ± 2.08
8.09 ± 4.63
30.60 ± 0.00d

Il5
Severe
1.00 ± 0.22
0.62 ± 0.11
0.56 ± 0.02
8.02 ± 0.89a,b,c

Il6
Mild
1.00 ± 0.34
0.48 ± 0.09
2.94 ± 1.01
5.80 ± 3.49

Il6
Severe
1.00 ± 0.25
0.90 ± 0.46
1.45 ± 0.83
33.44 ± 4.31a,b,c

Il10
Mild
1.00 ± 0.28
2.22 ± 0.37
1.55 ± 0.49
18.93 ± 0.67a,b,c

Il10
Severe
1.00 ± 0.33
1.24 ± 0.14
0.89 ± 0.43
25.94 ± 8.76a,b,c

Il13
Mild
1.00 ± 0.32
2.75 ± 2.63
11.44 ± 7.40
9.58 ± 2.20

Il13
Severe
1.00 ± 0.28
0.98 ± 0.21
0.87 ± 0.37
64.21 ± 34.25

Tnfα
Mild
1.00 ± 0.11
1.01 ± 0.11
2.39 ± 0.87
4.83 ± 4.02

Tnfα
Severe
1.00 ± 0.29
0.86 ± 0.14
1.17 ± 0.25
8.78 ± 4.87

Ifnγ
Mild
1.00 ± 0.31
3.51 ± 2.77
25.26 ± 21.10
8.78 ± 1.16

Ifnγ
Severe
1.00 ± 0.00
0.75 ± 0.14
0.74 ± 0.26
82.32 ± 60.37

The values shown in the table are relative to the cytokine mRNA expression levels in control mice. Data is shown as mean ± SEM. Statistical significance of differences was tested using Bonferroni’s post hoc test after one-way ANOVA. compared to control mice; b compared to sensitized only mice; c compared to challenged only mice; da single value.

3.4. Cytokine mRNA Expression in Lung Tissue Is Differentially Modulated in Mild and Severe Asthma

In mild asthma, Il10 showed the largest change in expression followed by II5, II4, Tnfα, Il6, Il2, Il13, and Ifnγ, respectively, (Figure 4(a)). In severe asthma, the largest change (110-fold) is observed in Ifnγ expression followed by Il13, Il2, Il4, Il10, Il6, Il5, and Tnfα, respectively (Figure 4(b)).

(a)

(b)

Figure 4: Change in T-cell cytokine mRNA expression in mouse whole lung tissue during mild and severe allergic asthma: (a) mild model and (b) severe model. Data is shown as mean ± SEM. Fold change is calculated by dividing the cytokine mRNA expression in OVA-sensitized and challenged mice by cytokine mRNA expression in challenged only mice.

3.5. Allergen Sensitization and Challenge in the Severe Asthma Model Result in a Strong Upregulation of mRNA for Tbet and Foxp3 in the Lungs and Skews the Immune Response Away from Th2 and towards Treg

To examine the T cell responses in the lung, the mRNA expression of T cell-specific transcription factors was measured, and to determine the extent of Th response skewing in the lung, ratios for Gata3/Tbet (Th2/Th1), Foxp3/Rorγt (Treg/Th17), Foxp3/Gata3 (Treg/Th2), and Foxp3/Tbet (Treg/Th1) mRNA expressions were calculated (Table 3). The expression of Tbet and Foxp3 was 7 and 2-times higher, respectively, in allergen-sensitized and challenged mice in the severe model when compared to allergen-sensitized and challenged mice in the mild model. In severe asthma, sensitized and challenged mice showed 16 and 17-times higher Tbet and Foxp3 expression, respectively, when compared to control, sensitized only and challenged only mice. Most interestingly, allergen sensitization and challenge resulted in a significant decrease in Gata3/Tbet ratio as compared to control and sensitized only mice in both models. The ratio of Foxp3/Rorγt was 12-times higher in the severe model in comparison to the mild model, and this ratio was significantly increased in allergen-sensitized and challenged mice when compared to control, sensitized only, and challenged only mice in both models. In the mild model, allergen sensitization and challenge significantly increased the Foxp3/Gata3 ratio when compared to control mice. The ratio of Foxp3/Gata3 in allergen-sensitized and challenged mice was significantly increased when compared to control, sensitized only, and challenged only mice, and this ratio was almost 4-times higher than the mild model.

Table 3: Relative T-cell transcription factor mRNA expression in mouse whole lung tissue during mild and severe allergic asthma.

Transcription factor
Model
Control

a
Sensitized only

b
Challenged only

c
Sensitized and challenged

Tbet
Mild
1.00 ± 0.40
1.06 ± 0.35
4.56 ± 2.23
2.32 ± 0.51

Severe
1.00 ± 0.19
1.05 ± 0.31
1.45 ± 0.02
15.94 ± 5.09a,b,c

Gata3
Mild
1.00 ± 0.01
0.68 ± 0.16
1.10 ± 0.14
1.44 ± 0.45

Severe
1.00 ± 0.17
0.67 ± 0.08
0.57 ± 0.06
0.84 ± 0.21

Rorγt
Mild
1.00 ± 0.11
0.67 ± 0.33
0.72 ± 0.15
0.35 ± 0.02

Severe
1.00 ± 0.02
0.71 ± 0.19
1.02 ± 0.14
0.117d

Foxp3
Mild
1.00 ± 0.31
1.87 ± 0.50
0.95 ± 0.34
8.55 ± 2.82a

Severe
1.00 ± 0.11
0.92 ± 0.21
2.03 ± 0.39
17.11 ± 1.06a,b,c

Ratio

Gata3/Tbet
Mild
1.00 ± 0.10
0.64 ± 0.26
0.24 ± 0.03
0.10 ± 0.03a,b

Severe
1.00 ± 0.17
0.63 ± 0.07
0.30 ± 0.03
0.05 ± 0.01a,b

Foxp3/Rorγt
Mild
1.00 ± 0.31
2.78 ± 0.63
4.33 ± 3.05
37.12 ± 12.24a,b,c

Severe
1.00 ± 0.11
1.29 ± 0.29
2.00 ± 0.38
439.08 ± 27.31a,b,c

Foxp3/Gata3
Mild
1.00 ± 0.31
2.77 ± 0.63
2.83 ± 1.98
5.95 ± 1.96a

Severe
1.00 ± 0.11
1.37 ± 0.31
3.55 ± 0.67
20.40 ± 1.27a,b,c

Foxp3/Tbet
Mild
1.00 ± 0.31
1.77 ± 0.50
0.69 ± 0.48
0.61 ± 0.20

Severe
1.00 ± 0.11
0.87 ± 0.20
1.07 ± 0.20
1.07 ± 0.07

Tbet, Gata3, Rorγt, and Foxp3 represent Th1, Th2, Th17, and Treg cells, respectively. The values shown in the table are relative to transcription factor mRNA expression levels in control mice. Data is shown as mean ± SEM. Ratios for Th2/Th1 (Gata3/Tbet), Treg/Th17 (Foxp3/Rorγt), Treg/Th2 (Foxp3/Gata3), and Treg/Th1 (Foxp3/Tbet) mRNA expression are also shown. The mean ratio was calculated by dividing the individual expression values for the first transcription factor (numerator) by the mean expression value for the second transcription factor (denominator). Statistical significance of differences was tested using Bonferroni’s post hoc test after one-way ANOVA. compared to control mice; b compared to sensitized only mice; c compared to challenged only mice; da single value.

3.6. T Cell Transcription Factors mRNA Expression in Lung Tissue Is Differentially Modulated in Mild and Severe Asthma

In mild asthma, the largest change (9-fold) was observed in Foxp3 expression followed by Tbet, Gata3, and Rorγt (Figure 5(a)). Tbet showed the largest change in expression in severe asthma followed by Foxp3, Gata3, and Rorγt (Figure 5(b)).

(a)

(b)

Figure 5: Change in T-cell transcription factor mRNA expression in mouse whole lung tissue during mild and severe allergic asthma: (a) mild model and (b) severe model. Data is shown as mean ± SEM. Fold change is calculated by dividing the transcription factor mRNA expression in OVA-sensitized and challenged mice by cytokine mRNA expression in challenged only mice.

3.7. Different Correlations between T-Cell Transcription Factors mRNA Expression and T-Cell Cytokines mRNA Expression Are Found in Mild and Severe Asthma

As imbalances in T cell responses can also be detected using T cell-specific transcription factors, the correlations between the mRNA expression of T cell transcription factors and T cell-specific cytokines were calculated (Table 4). In mild asthma, Tbet expression was significantly correlated with Il2, Il4, Il5, Il6, Il13, and Tnfα expression. Rorγt expression showed a significant correlation with Il10 expression, and Foxp3 expression was significantly correlated with and Il2, Il4, Il5, Il6, Il10, and Tnfα expression. In severe asthma, Tbet expression was strongly correlated with Il2, Il6, and Il10 expression. Rorγt expression was significantly correlated with Il2, Il4, Il5, Il6, Il10, and Il13 expression. Interestingly, Foxp3 expression was strongly correlated with Il2, Il4, Il5, Il6, and Il13 and significantly correlated with Il10 and Ifnγ expression.

Table 4: Correlation between T-cell transcription factor mRNA expression and T-cell cytokine mRNA expression in whole lung tissue during mild and severe allergic asthma.

Transcription factor
Il2
Il4
Il5
Il6
Il10
Il13
Tnfα
Ifnγ

Tbet/mild

Tbet/severe

Gata3/mild

Gata3/severe

Rorγt/mild

Rorγt/severe

Foxp3/mild

Foxp3/severe

Correlation is calculated using linear regression analysis. square values are shown for the statistically significant correlations; represents nonsignificant correlations.

4. Discussion

The aim of this study was to explore the innate and adaptive immune responses and inflammation in mouse models for mild and severe allergic asthma. Our results clearly show that pulmonary inflammation is differentially regulated in mild and severe experimental asthma. In the severe asthma model, a higher (3-fold) cell influx in BAL fluid was seen compared to the mild model. As expected, TNP-OVA-sensitized and TNP-OVA/IgE-challenged mice showed significantly higher total inflammatory cell number and a relative increase in the number of eosinophils, lymphocytes, and neutrophils as compared to challenged only mice. These findings are in accordance with other animal studies in which IgE immune complexes have been used as inducers of airway inflammation [12, 13, 34].

Besides being key components of the innate immunity, PRRs are also involved in the activation and shaping of adaptive immunity. The function and expression of PRRs have been linked to susceptibility towards allergic asthma. In mild asthma, Tlr2 expression was lower in sensitized only, challenged only and OVA-sensitized and challenged mice, when compared to the control mice. Previous human studies have demonstrated that decreased TLR2 mRNA expression and receptor function due to SNPs in the TLR2 gene are positively associated with asthma susceptibility, and high-atopic-risk infants have been reported to have low TLR2 expression on their cord blood CD34 (+) cells [15–17]. In severe asthma, allergen challenge only increased the expression of Tlr2 and allergen sensitization and challenge significantly increased Tlr1 expression when compared to sensitized only mice. These results are supported by data from animal and human studies which have shown that Tlr2/Tlr1 heterodimers can play both pro- and anti-inflammatory roles in allergic asthma [16, 35]. Interestingly, allergen sensitization and challenge decreased Tlr3 expression in both models. Previous in vitro studies have demonstrated that upon the activation of Tlr3 by its ligand, this PRR induces upregulation of its own expression as well as expression of other TLRs and various cytokines and chemokines and thereby contributes to exacerbation of inflammation [18]. However, no direct associations between Tlr3 expression and function and asthma have been reported yet, and whether the decreased mRNA expression of Tlr3 caused by the chronic inflammatory status of the animals is proinflammatory or anti-inflammatory is also unknown. In severe asthma, allergen challenge increased Tlr7 expression. This could be due to a response of plasmacytoid DCs to the inhaled antigen as these cells strongly express Tlr7 [36]. In addition, allergen sensitization and challenge decreased Nod1 expression when compared to control mice. Nod1 is an intracellular sensor of pathogenic bacteria. Single nucleotide polymorphisms in the Nod1 gene were positively associated with susceptibility towards asthma in children living on farms, and this PRR has been reported to be necessary for neutrophil function in mice [26, 27, 37]. However, no direct associations between Nod1 expression and function and asthma have been reported yet.

Interestingly, Tlr1, Tlr3, Tlr6, Tlr9, Tlr11, Tlr13, Nod1, and Nod2 expression was significantly correlated with the total inflammatory cell number in BAL fluid in the severe model. These correlations might be explained by the increase in the number of inflammatory cells which express these receptors, as is the case for Tlr1 and Nod1. Additionally, these receptors could also contribute to the increased sensitivity to inflammation/exacerbation since a small trigger can lead to an inflammatory cascade. However, the link between these correlations and asthma pathogenesis remains to be investigated.

Different mRNA expression profiles of T cell-related cytokines are observed in the mild and severe models for allergic asthma. To our knowledge, this is the first report in which cytokine mRNA expression is measured in mouse whole lung tissue. In severe asthma, allergen sensitization and challenge increased Il6, Il5, and Il10 expression. These results are in line with findings in human asthmatics [11]. Of particular interest, Il10 showed the largest change in mRNA expression in mild asthma. This profound 13-fold change in Il10 expression might be necessary to limit the inflammation in the airways and to counter the effects of the other cytokines on disease progression as previously described [38]. This hypothesis is supported by the findings in the severe model, in which Ifnγ showed the largest change in expression suggesting a Th1-skewed response.

Th2 cells play a key role in the pathogenesis of allergic asthma, and asthmatic patients have been reported to have Th1/Th2 imbalances as well as disturbed Th17 (Th17)/Treg balances. In mild asthma, expression of Foxp3 was the most prominent. In severe asthma, Foxp3 and Tbet showed the highest expression in lungs of allergen-sensitized and challenged mice. These findings are in line with our cytokine expression data (described above) and are supported by the proposed role of Tregs and Il10 in the airways [38]. Intriguingly, allergen sensitization and challenge resulted in a strong Treg response in both models. Accordingly, Foxp3 showed the largest change in expression in the mild model. In severe asthma, the largest change in expression was found in the Th1-related transcription factor, Tbet, and this result is in contrast with data obtained from asthmatic patients [30, 32, 33], possibly due to measurement of mRNA expression in mouse whole lung tissue instead of in PBMCs of asthmatics and/or measurement of mRNA expression instead of protein expression. It has been reported that both in vivo and in vitro Gata3 can inhibit Foxp3 gene induction by directly binding to the Foxp3 promoter in mice [39]. An opposite action of Foxp3 might also be possible, and our results could be explained by a counter-regulatory mechanism of Treg/Th1 to suppress the Th2 immune response. Interestingly, the mRNA expression of Tbet was strongly correlated with the expression of innate cytokines (Il2, Il6, and Tnfα) and Th2 cytokines (Il4, Il5, and Il13), but not with Th1 cytokine (Ifnγ). In severe asthma, Rorγt expression was significantly correlated with Il6 expression, but not in mild asthma. Expression of Foxp3 was significantly correlated with Il10 expression in both models. IL2, IL4, IL5, IL6, IL13, and TNFαhave been reported to enhance asthma in humans, and Th1 cells have been shown to suppress Th2 cells through the release of IFN-γ. Additionally, Tregs suppress other Th cell effector functions through the release of IL-10 [11]. No correlations were found between Gata3 and Th2 cytokines expression suggesting a counter-regulatory mechanism of Treg/Th1 to suppress the Th2 immune response as described previously.

To our knowledge, our results demonstrated for the first time that in mild and severe models for experimental asthma, immune and inflammatory responses are regulated differently. We showed that in mild and severe allergic asthma different mRNA expression of TLRs, NLRs and T cell-specific cytokines and transcription factors is observed. How this determines asthma severity remains to be investigated. This study adds to our understanding of the allergic characteristics of mild and severe allergic asthma which can contribute to the identification of phenotype-specific therapeutic targets.

Acknowledgment

This study was performed within the framework of Dutch TI-Pharma (project no. D1-101).

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