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Asthma is a one of the most common pediatric diseases and is characterized by eosinophilic airway inflammation, reversible airway obstruction, hyperresponsiveness and airway remodeling (1,2). The prevalence of asthma is increasing in most countries (3,4). Asthma causes substantial social impact and costs to public and private healthcare systems (3,4). Pediatric asthma is different from adult asthma in terms of severity, natural history, response to treatment and mechanisms (5,6). Early diagnosis of pediatric asthma, although challenging, is highly important for effective treatment. To date, the available treatment modalities have not been sufficient to satisfactorily control asthma in children (7). Therefore, a new method for treating pediatric asthma is urgently required.
microRNAs (miRNAs) are a class of small, noncoding, single-stranded RNAs that regulate gene expression by binding to their target mRNA and triggering either repression of protein translation or RNA degradation (8,9). miRNAs regulate development, differentiation, stem-cell differentiation, growth control, apoptosis and immune functions (8,9). Several miRNAs are involved in the pathogenesis of asthma (10,11).
An miRNA array analysis in murine models of acute and chronic asthma revealed that miRNA expression in the lungs changed following exposure to allergens, and suggested that several miRNAs may regulate the biological processes during the course of asthma development (12). However, these findings were in contrast to those of an miRNA array analysis in asthmatic adults in another study, which had shown that changes in miRNA expression do not appear to be involved in the development of the asthmatic phenotype or the anti-inflammatory action of the corticosteroid budesonide in adult asthmatic patients (13). To date, very little is known about miRNA expression profiles in pediatric asthma.
In the present study, miRNA array analysis was performed to determine miRNA expression profiles in asthmatic children. Sprouty-related EVH1 domain-containing protein (Spred) negatively regulates allergen-induced airway inflammation and hyperresponsiveness in murine asthma models by modulating interleukin (IL)-5 signaling (14). Among the upregulated miRNAs in pediatric asthma, miRNA-221 and miRNA-485-3p were predicted to bind to Spred-2 mRNA by bioinformatic analysis. Upregulation of miRNA-221 and miRNA-485-3p among pediatric asthmatics and murine asthma models were verified by real-time PCR. Spred-2 protein level was downregulated in murine asthma models.
The study population consisted of 12 children (age, 4–6 years) admitted to Nanjing Children’s Hospital, China. Six of these children were diagnosed as having allergic asthma. The other 6 were considered as the control group. Asthma was diagnosed on the basis of the recommendations of the Global Initiative for Asthma (GINA); according to GINA, pediatric patients are defined as having asthma if they have visited the hospital within the past 12 months due to wheezing without evidence of common cold, and if their forced expiratory volume in 1 second (FEV1) after inhalation of a β2 agonist increased by 12% compared to prior to the inhalation. The results of the skin-prick tests were positive for all the asthmatic children. The children were first diagnosed as having allergic asthma and did not undergo any treatment. Venous blood samples were obtained from all the children. The study was approved by the Medical Ethics Committee of Nanjing Children’s Hospital. Written consent was obtained from all parents.
Lymphocytes were collected from the blood by using a lymphocyte separation medium. Total RNA was isolated using TRIzol (Invitrogen, Carlsbad, CA, USA) and an miRNeasy Mini kit (Qiagen, Hilden, Germany). The sixth generation of miRCURY™ LNA Array (v.16.0) (Exiqon) contains more than 1,891 capture probes, covering all human, mouse and rat miRNAs annotated in miRBase 16.0, as well as all viral miRNAs associated with these species. In addition, this array contains capture probes for 66 new miRPlus™ human miRNAs.
The BALB/c mice were randomly distributed into two groups (n=6). The mice were kept for one week prior to the experiment. On day 0 and day 14, mice were sensitized with 20 μg of OVA and 20 mg Al(OH)3 in 0.2 ml PBS. Following sensitization, mice were exposed to either aerosolized 1% OVA/PBS or PBS only for 20 min once a day on days 27, 28, 29 and 30. On day 31, mice were analyzed for cell numbers in the bronchoalveolar lavage fluid (BALF) and histological study.
Lungs were removed from mice, fixed in 10% formalin for 24 h, dehydrated, mounted in paraffin, sectioned to a thickness of 4 μm, and stained with hematoxylin and eosin (HE).
Real-time PCR was performed as described previously (15). Briefly, the miRNA first-strand synthesis kit was used to perform the first-strand synthesis. SYBR-Green PCR was then performed. U6 spliceosomal RNA (snRNA) was used as the endogenous control.
Bioinformatic analysis of miRNAs was performed by a method described in the literature (12,13). miRNA targets were analyzed using the public database TargetScan 6.0 (http://www.targetscan.org).
The removed lung was lysed in protein lysis buffer (50 mM Tris, 150 mM NaCl, 10 mM EDTA, 1% Triton X-100, 200 mM sodium fluoride and 4 mM sodium orthovanadate-containing protease inhibitors; pH 7.5). Protein concentration was measured by the Bradford method. Proteins were separated by 10% sodium dodecyl sulfate-polyacrylamide electrophoresis (SDS-PAGE) and transferred to nitrocellulose membranes.
Membranes were blocked with 5% bovine serum albumin (BSA) in TBST (50 mM Tris, pH 7.5, 150 mM NaCl, 0.05% Tween-20). The membrane was incubated in 5% BSA in TBST containing Spred-2 antibody (1:1000). Membranes were then washed extensively with TBST and then incubated with an appropriate secondary horseradish peroxidase-labeled antibody (Santa Cruz Biotechnology, Santa Cruz, CA, USA) at a 1:4,000 dilution. Bands were visualized by enhanced chemiluminescence (Amersham Biosciences, Piscataway, NJ, USA).
Statistical analysis was performed using the t-test. Differences between the groups were considered statistically significant when the p-value was <0.05.
The 6 asthmatic children had visited the hospital in the past 12 months due to wheezing without evidence of common cold, and their FEV1 values after inhalation of the β2 agonist were 12% more than those pre-inhalation. The results of skin-prick tests were positive for all of the asthmatic children. The control-group children did not have a history of wheezing or chest tightness.
The microarray was used to detect the differences in the miRNA expression levels between these 2 groups. The expression levels of 36 miRNAs were significantly higher (more than two-fold) in the asthmatic children (n=6) than in the control-group children (p<0.05). In addition, the expression levels of 47 miRNAs were significantly lower (more than two-fold) in the asthmatic children than in the control-group children (p<0.05; Table I).
The inflammation of airways and the infiltration of leukocytes to lung tissue are the two major features of asthma. The total cell and eosinophil counts were higher in OVA-induced murine asthma models compared with controls. The infiltration of leukocytes to lung tissue was observed in OVA-induced murine asthma models (Fig. 1).
Real-time PCR was used to confirm the differential expression of miRNA-221 and miRNA-485-3p in pediatric asthmatics and murine asthma models. miRNA-221 was upregulated approximately two-fold in pediatric asthmatics and approximately three-fold in murine asthma models. miRNA-485-3p was upregulated approximately 2.5-fold in pediatric asthmatics and murine asthma models (Fig. 2).
The miRNA-221 and miRNA-485-3p targets were analyzed using the public database TargetScan 6.0 (http://www.targetscan.org). Spred-2 was the predicted target of miRNA-221 and miRNA-485-3p. The Spred-2 protein level was downregulated in murine asthma models compared to the controls (Fig. 3).
In this study, 36 miRNAs were significantly upregulated and 47 significantly downregulated two-fold in the asthmatic group, compared to the respective miRNAs in the control group. A previous miRNA array analysis showed that miRNAs are not involved in the development of allergic asthma in adults (13). However, an miRNA array analysis in murine models of acute and chronic asthma revealed that miRNA expression in the lung changes on exposure to allergens and that several miRNAs regulate biological processes during the course of asthma development (12).
Functional studies of miRNA in asthma also proved the critical role of miRNAs in asthma. Mice deficient in miRNA-155 show increased airway remodeling (10). Downregulation of miRNA-133a in a mouse model of allergic bronchial asthma has been shown to upregulate RhoA, resulting in increased airway contraction (11). In vivo inhibition of let-7 miRNAs inhibits the production of allergic cytokines and the development of the asthmatic phenotype (16). miRNA-26a is capable of regulating the hypertrophy of human airway smooth muscle cells by modulating the levels of glycogen synthase kinase-3β (17). Selective in vivo blockade of miRNA-126 suppresses the asthmatic phenotype (18). All these observations from previous studies prove that miRNAs play a critical role in the development of allergic asthma.
Spred-2 was downregulated in murine asthma models. Spred has been identified as a negative regulator of growth factor-mediated, Ras-dependent ERK activation (14). Spred negatively regulates allergen-induced airway inflammation and hyperresponsiveness in murine asthma models by modulating IL-5 signaling (14). Among the upregulated miRNAs in pediatric asthma, miRNA-221 and miRNA-485-3p were predicted to bind to Spred-2 mRNA by bioinformatic analysis.
Upregulation of miRNA-221 and miRNA-485-3p in pediatric asthmatics and murine asthma models were verified by real-time PCR. miRNA-221 favored mast cell adhesion and migration towards stem cell factor or antigen in Transwell migration assays, as well as cytokine production and degranulation in response to IgE-antigen complexes (19). miRNA-221 regulated cell cycle checkpoints in mast cells in response to acute activation stimuli (20). These results indicated that miRNA-221 may contribute to mast cell-related pathological conditions, such as asthma.
In conclusion, we applied miRNA microarray technique for screening the differential expression of miRNAs in asthmatic children. miRNA-221 and miRNA-485-3p were upregulated in pediatric asthmatics and murine asthma models. Spred-2, the predicted target of miRNA-221 and miRNA-485-3p, was downregulated in murine asthma models. miRNA-221 and miRNA-485-3p may regulate the pathogenesis of asthma.
This project was supported by grants (QYK09163, ZKX11012) from the Key Project supported by the Medical Science and Technology Development Foundation, Nanjing Department of Health.
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