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. 2021 Jan;9(4):399–407. doi: 10.52547/rbmb.9.4.399

Retinoic Acid Correlates with Reduced Serum IL-10 And TGF-β in Allergic Rhinitis

Akram Davoodi 1, Ramin Lotfi 2, Seyed Hamidreza Mortazavi 3, Ali Gorgin Karaji 4, Alireza Rezaiemanesh 4, Farhad Salari 4,*
PMCID: PMC8068451  PMID: 33969133

Abstract

Background:

Retinoic acid (RA) plays a key role in naïve T cell differentiation into FOXP3+ Treg cell in the respiratory airways. The present study aims to investigate RA and Treg-related cytokine serum levels, salivary IgA levels, FOXP3 and IL-4 gene expression, and the relationships between RA serum levels and Treg-related cytokines in allergic rhinitis (AR) patients and healthy controls.

Methods:

Salivary IgA and serum IgE, RA, IL-10, and TGF-β concentrations were measured by ELISA in 37 AR patients and 30 age- and sex-matched healthy controls.

Results:

IL-10 and TGF-β concentrations were significantly less in AR patients than in healthy controls (p< 0.01 and P< 0.0001, respectively). Salivary IgA was significantly greater in patients than in controls (p< 0.05). RA was not significantly different between patients and controls (p> 0.05); however, a significant positive correlation was found between serum RA and both IL-10 and TGF-β in AR patients.

Conclusion:

Our data suggest that RA may influence AR risk via affecting the TGF-β and IL-10 production.

Key Words: Allergic Rhinitis, Interleukin-10, Obesity, Retinoic Acid, Transforming Growth Factor-β

Introduction

Allergic rhinitis (AR) is an upper airway inflammatory disease with a growing prevalence rate over the past 30 years (1). T helper 2 (TH2) cells and their cytokines, including interleukin (IL)-4, IL-5, and IL-13, play a central role in the pathogenesis of AR. Furthermore, many underlying factors, including genetic background, IgE serum concentration greater than 100 IU/ml before the age of 6 years, stress, nutrition, and vitamins A and D deficiencies are recognized as risk factors for AR (2, 3).

Retinoic acid (RA), an active vitamin A metabolite, plays a critical role in the immune system. For example, RA is known to influence the development, maintenance, differentiation, and regeneration of lung epithelial cells (4). In addition, it has been shown that a subset of CD103+ dendritic cells (DCs), which secrete transforming growth factor-β (TGF-β) and RA in the lung mucosa, is required for T cell differentiation into forkhead box P3+ (FOXP3+) regulatory T cells (Treg cells) (5). Also, considerable evidence suggests that FOXP3+ Treg cells play a major role in controlling, and ultimately inhibiting, allergic diseases (6, 7). Notably, RA is critical for the generation of B cells secreting immunoglobulin A (IgA), which is the dominant Ig class in healthy respiratory tract mucosa, and seems to be the most critical Ig for mucosal defense (8). Deficiency or defect of IgA causes a change in the mucosal defense and prepares the conditions for increased allergen penetration into the tissue and the onset of allergy (9, 10). Besides, RA suppresses eosinophil and basophil differentiation from bone marrow precursors (11), most likely by downregulating IL-5 receptor (12) expression and preventing mitogen-induced proliferation and IL-4-mediated IgE production in murine splenocytes (13). Recent studies have shown that naïve T cell differentiation into TH1 and TH2 cells is regulated by RA (14). However, the results of various studies are controversial. On the one hand, it has been reported that all-trans RA supplementation in vitamin A-deficient mice inhibited interferon (IFN)-γ and IL-12 transcription and supported TH2 cell differentiation and growth (15), while in contrast, RA was recently found to exert an anti-allergic effect by inhibiting TH2 responses and inducing Treg cell differentiation (16).

In this study, we measured the serum concentrations of RA, IgE, and the Treg-related cytokines IL-10 and TGF-β, salivary IgA, FOXP3 and IL-4 gene expression, and the relationships between RA serum levels and Treg-related cytokines in AR patients and healthy controls.

Materials and Methods

Subjects

Allergic rhinitis patients were recruited from outpatients attending the Allergy Clinic of the Mohammad Kermanshahi Hospital in Kermanshah, Iran. All patients were diagnosed by physicians based on the Practical Guideline for the Management of Allergic Rhinitis (17). The control group was selected from healthy individuals with no chronic inflammatory diseases. Written informed consent was obtained from all subjects. Body mass index (BMI) was calculated for each subject as weight in kilograms divided by the squared height in meters (kg/m2). Subjects with BMIs ≥30 were classified as obese. Characteristics of AR patients and healthy controls are described in Table 1.

Table 1.

Demographic data of AR patients and healthy control subjects.

Group Allergic rhinitis Control
Number 37 30
Sex (Female/Male) 24/13 20/10
Average age 35.18 ± 1.74 34.96 ± 2.33
Average disease duration Six years -
History of asthma - -
Smoking (%) 21.6 -
BMI* (%)
Normal 48.3 66.6
Overweight 38.7 18.59
Obese 12.9 14.81
*

BMI: Body mass index

Sample collection

Ten ml of fresh whole blood were drawn by venipuncture. Serum was isolated from 7.5 ml of the blood sample. To extract total RNA, 2.5 ml of the blood sample was aliquoted into tubes containing ethylenediamine tetraacetic acid (EDTA). Saliva samples were collected from all participants. For each participant, a peripheral blood smear was prepared and the number and percentage of eosinophils determined manually using an optical microscope.

RNA isolation, cDNA synthesis, and qRT-PCR

Total RNA was extracted from blood using an RNA isolation kit (Favorgen Biotech CORP kit, Taiwan) according to the manufacturer’s instructions. cDNA was synthesized with an equal amount of total RNA using a cDNA synthesis kit (Favorgen Biotech CORP kit, Taiwan) with random primers according to the manufacturer's protocol. Real-time PCR was performed using the Light Cycler 96 (Roche, Germany) and SYBR Green (Ampliqon, Odense, Denmark) master mix. Primers were designed with Beacon Designer™ Software (Primer Biosoft, USA). Primer sequences for FOXP3 were: FOXP3 forward: 5′-AAGAGAGAGGTCTGCGGCTTC-3′ and FOXP3 reverse: 5′-CAGGCTTGGTGAAGTGGACTG-3′. Primer sequences for IL-4 were: IL-4 forward: 5′-CACGGACACAAGTGCGATA-3′ and IL-4 reverse: 5′-GCGAGTGTCCTTCTCATGGT-3′. The values were normalized based on the expression of GAPDH as a housekeeping gene using the following primers: GAPDH forward 5′-GACCCCTTCATTGACCTCAAC-3′ and GADPH reverse 5′-GATCTCGCTCCTGGAAGATG-3′. The relative gene expression differences between controls and patients were determined using the Pfaffl method (R= (Etarget) ΔCt target (control-sample)/ (ERef) ΔCt Ref (control-sample)).

Serum IL-10, TGF-β, total IgE, and retinoic acid, and salivary IgA concentrations

To measure serum IL-10, TGF-β, total IgE, and retinoic acid, and salivary IgA concentrations, enzyme-linked immunosorbent assays (ELISAs) were performed using commercial kits according to the manufacturer’s recommendations (Eastbiopharm kit, China).

Statistical analysis

Statistically significant differences between patients and controls were determined by the nonparametric Mann-Whitney U-test. The correlations were determined using Spearman rank correlation analysis. Analysis of data was conducted by SPSS software version 18 for Windows (IBM Corp., Armonk, N.Y., USA). p values <0.05 were considered statistically significant. All data are expressed as means ± SEMs.

Results

Serum IL-10, TGF-β, total IgE, and retinoic acid, and salivary IgA concentrations

Serum TGF-β (Fig. 1A) and IL-10 (Fig. 1B) were significantly less, while salivary IgA (Fig. 1C) was significantly greater, in patients than in controls. Total IgE was greater (Fig. 1D), and RA was less (Fig. 1E), in AR patients than in controls; however, these differences were not statistically significant.

Fig. 1.

Fig. 1

Serum TGF-β and IL-10, salivary IgA, total IgE, and retinoic acid concentrations in healthy controls and allergic rhinitis (AR) patients. For serum assays, whole blood was collected from each subject and serum was isolated and analyzed by ELISA. Saliva was collected and analyzed for the IgA ELISA. Significantly less TGF-β (A) and IL-10 (B) were present in AR patients than healthy controls. Salivary IgA was significantly greater in AR patients than healthy controls (C). Neither IgE (D) nor retinoic acid (E) differed significantly between the two groups. Results are shown as means ± SEMs; *p< 0.05, **p< 0.01, ****p< 0.0001 and ns: not significant; AR: allergic rhinitis and RA: retinoic acid.

FOXP3 and IL-4 mRNA expression

FOXP3 mRNA expression did not differ significantly between the two groups (Fig. 2A); however, IL-4 mRNA expression was significantly greater in patients than in controls (Fig. 2B).

Fig. 2.

Fig. 2

FOXP3 and IL-4 mRNA expression in healthy controls and allergic rhinitis (AR) patients. Total RNA was extracted from blood using an RNA isolation kit, cDNA was synthesized using random primers, and real-time PCR was performed. The values were normalized against GAPDH. (A) FOXP3 mRNA expression in healthy controls and AR patients. No significant difference in FOXP3 mRNA expression was observed between the two groups. (B) IL-4 mRNA expression in healthy controls and AR patients. IL-4 expression was significantly greater in patients than controls. Results are shown as means ± SEMs; ns: not significant; ***p< 0.001; AR: allergic rhinitis.

Percentage of peripheral blood eosinophils

The percentages of peripheral blood eosinophils in patients with AR and controls were determined. The percentage was significantly greater in the patients with AR than in controls (Fig. 3).

Fig. 3.

Fig. 3

Percentage of peripheral blood eosinophils in healthy controls and allergic rhinitis (AR) patients. For each participant, a peripheral blood smear was prepared and the number and percentage of eosinophils determined manually using an optical microscope. The percentage of eosinophils was significantly greater in AR patients than controls. Results are shown as means ± SEMs; ****p< 0.0001; AR: allergic rhinitis.

Correlations analysis

Spearman correlation analysis for RA, TGF-β, and IL-10 serum levels demonstrated a significant positive correlation (p= 0.002, r= 0.5 and p< 0.0001, r= 0.6, respectively) in both AR and control groups (data are shown for AR only) (Figs. 4A and 4B). In addition, a significant inverse correlation was found between BMI and both serum TGF-β and RA levels in the AR patients (p= 0.005, r= -0.5, and p= 0.04, r= -0.3, respectively) (Figs. 4C and 4D).

Fig. 4.

Fig. 4

Correlation analyses. Correlations were determined using the Spearman rank correlation analysis. Significant positive correlations were seen between serum RA and both TGF-β (A) and IL-10 (B) in allergic rhinitis (AR) patients and controls (not shown). Significant negative correlations were seen between BMI and both TGF-β (C) and retinoic acid (D) in the AR patients. RA: retinoic acid; BMI: body mass index.

Discussion

Allergic rhinitis is well known as a Th2 immune-mediated disorder. In addition, considerable evidence indicates an important role for Treg cells (Tregs) in controlling and inhibiting allergic diseases. Studies have shown that the number or function of Tregs is impaired or altered in allergic patients (18-20). Although the findings in this context are controversial, studies have shown that naive T cell differentiation into TH1, TH2, and Treg cells could be regulated by RA (14-16, 21). This study aimed to address the role of RA in the development of AR.

Studies have shown that the presence of a subset of CD103+ DCs secreting TGF-β and sufficient amounts of RA in the intestinal and pulmonary mucosa can induce differentiation of T cells into FOXP3+ Treg cells (5). Despite this evidence, in vitro and in vivo studies have shown that RA reduces TH1 and increases TH2 immune responses (22, 23). Some studies in the United States and Sweden have shown that vitamin A supplementation in the first few months of life increases asthma risk and skews the immune response toward TH2 cells (24, 25). In the current study, we found less serum RA in patients than in healthy controls; however, this difference was not significant. In addition to significantly greater IL-4 mRNA expression, our study also showed less, but not significantly so, FOXP3 mRNA expression in AR patients than in controls. Furthermore, both IL-10 and TGF-β were significantly lower in the sera of AR patients than in controls, and a significant positive correlation was found between serum RA and both IL-10 and TGF-β in AR patients.

Previous studies showed that RA is also effective in the synthesis of secretory IgA (sIgA), which plays an important role in mucosal defense (8). Some researchers believe that IgA deficiency or defect causes change in the mucosal defense and prepares the background for increased allergen penetration into the tissue and the onset of allergy (9, 10). A clear correlation exists between reduced IgA and atopic eczema (26). Furthermore, reduced sIgA has been reported in asthma patients (27). Additionally, high sIgA seems to protect children from the onset of allergic symptoms during the first two years of life (28, 29), and allergen-specific sIgA deficiency was found to be associated with an increased risk for allergic diseases (30). Despite this evidence, other studies have not supported these findings (31, 32). In our study, sIgA was significantly greater in AR patients than in controls; however, this increase appears to contradict other findings, along with decreased serum RA. Studies have shown that IL-4, which activates, propagates, and protects B cells against apoptosis (33), also regulates IgA production (34). Therefore, IL-4 can not only increase IgE but can also enhance sIgA production in allergic patients (35). Interestingly, in the present study, IL-4 expression was significantly greater in AR patients than in controls. On the other hand, allergen-specific sIgA is not always associated with tolerance induction in animal models of allergy. Indeed, high sIgA levels can be present in susceptible animals without playing a protective role (36). Thus, these contradictory results cause doubt concerning the protective role of sIgA in allergy.

In our study, IgE concentrations did not differ significantly between patients and controls; however, the eosinophil count was significantly greater in patients. Nevertheless, no significant correlation was seen between the peripheral blood eosinophil count and serum IgE. Serum IgE increases in more than 90% of patients with AR. Although elevated IgE is often a factor indicating the presence of allergic disease, IgE titers can also increase in parasitic infections in the absence of allergy. In addition, a low IgE titer with apparent allergy symptoms is not unusual (37). In this study, we examined peripheral blood eosinophils, but according to some studies, nasal smear eosinophils display the best correlation with clinical and immunological parameters in AR (37, 38). It has also been suggested that IgE measurements and nasal eosinophil counts should be performed simultaneously (39).

According to the increased prevalence of both obesity and allergic disorders worldwide, many studies have evaluated the association between obesity and allergic diseases and asthma. Strong evidence supports an association between obesity and asthma, especially in females (40, 41). While some studies have demonstrated an increased risk for AR among overweight or obese individuals (42, 43), others have found no clear, and in some cases negative, correlation between the two (41, 44, 45). Notably, age and gender are influenced when the relationship between allergic disease and obesity in children and adults is examined (41, 42). In the present study, we found no association between obesity and AR (data not shown). However, significant inverse correlations between BMI and serum levels of both TGF-β and RA were observed.

In conclusion, this study found that AR patients had lower, but not significantly lower, serum RA than healthy controls. Nonetheless, being a significant positive correlation between RA and both TGF-β and IL-10 levels in the sera of patients suggests that RA may influence the risk of AR via affecting the generation of TGF-β and IL-10 cytokines. Further studies with larger populations are needed to define relationships between RA and AR.

Acknowledgements

The authors thank the participants for their enthusiastic collaboration. The authors also gratefully acknowledge the Research Council of Kermanshah University of Medical Sciences for financial support (Grant Number: 96125). None of the authors has any potential financial conflicts of interest related to this manuscript.

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