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ABSTRACT BACKGROUND: To characterize the distribution of both tonsillar and circulating CD4+T-lymphocyte subsets, and to explore their clinical relevance in nonobese children with
obstructive sleep apnea syndrome (OSAS). METHODS: A total of 53 children who underwent tonsillectomy for either OSAS (_n_ = 25) or primary snoring (PS, _n_ = 28) were prospectively enrolled.
Nineteen healthy children without any symptoms were recruited as controls. We quantified the frequencies of CD4+T-lymphocyte subpopulations using flow cytometry, serum-related cytokines
using enzyme-linked immunosorbent assay, and key transcription factors using quantitative polymerase chain reaction (qPCR). RESULTS: Tonsillar distributions of CD4+T-lymphocyte subsets were
comparable in the OSAS and PS subjects. The peripheral Th17/Treg ratio was positively correlated to severity as measured by apnea/hypopnea index (AHI), serum C-reactive protein and
hypoxia-inducible factor-1α mRNA in the OSAS children (_P_ < 0.05). And AHI was independently associated with the peripheral Th17/Treg ratio (_P_ < 0.05). Furthermore, the response to
surgery was associated with a significant reversal of the Th17/Treg imbalance and a concomitant relief of the proinflammatory profile in the OSAS subjects. CONCLUSION: Pediatric OSAS was
associated with an altered Th17:Treg balance toward Th17 predominance. The changes in lymphocytic phenotypes that correlated with recurrent intermittent hypoxia in sleep apnea may contribute
to the variance in systemic inflammation and downstream morbidities of pediatric OSAS. SIMILAR CONTENT BEING VIEWED BY OTHERS POSSIBLE MECHANISM OF CHI3L1 PROMOTING TONSIL LYMPHOCYTES
PROLIFERATION IN CHILDREN WITH OBSTRUCTIVE SLEEP APNEA SYNDROME Article 24 December 2021 OVEREXPRESSION OF YKL40,IL-6, IL-8, TNF-Α IN TONSILS AND THE ROLE OF YKL40 IN CHILDHOOD WITH
OBSTRUCTIVE SLEEP APNEA SYNDROME Article Open access 01 November 2024 ASSOCIATION BETWEEN THE NEUTROPHIL-TO-LYMPHOCYTE RATIO AND OBSTRUCTIVE SLEEP APNEA: A META-ANALYSIS Article Open access
02 July 2020 MAIN Sleep-disordered breathing (SDB) represents a spectrum of breathing disorders that range from primary snoring (PS) to obstructive sleep apnea syndrome (OSAS). A dysfunction
in neuromotor control is thought to be the underlying cause of airway collapse during sleep in children, but adenotonsillar hypertrophy further narrows the airway and exacerbates OSAS. To
date, the diagnosis of pediatric OSAS totally relies on overnight polysomnography (PSG). There are inherent difficulties in clinical discriminating OSAS from PS, especially in children
possessing analogous symptoms and physical signs (1). A central mechanism that mediates local and systemic inflammation in OSAS involves the intermittent nocturnal hypoxemia that may produce
oxygen-free radicals through the phenomenon of the intermittent hypoxia and reoxygenation (IHR) (2). As the characteristic feature of OSAS, recurrent cycles of IHR can promote an extensive
activation of various inflammatory cells, as well as specifically induce the hypoxia-sensitive transcription factors hypoxia-inducible factor-1(HIF-1) and the subsequent activation of
inflammatory pathways. It is proved that HIF-1-dependent inflammation has a principal role in the promoting varied cardiovascular consequences in OSAS patients (3). Disturbances in the
differentiation and function of CD4+T lymphocyte subsets (Th1, Th2, Th17, Th22, and Treg) represent an indicator of the host immune response in human cancer, inflammatory, and autoimmune
diseases (4,5). We have demonstrated a positive correlation of peripheral Th17/Treg ratio with the incidence of apnea/hypopnea index (AHI) in OSAS adults (6). HIF-1 is proved as a check
point of Th17/Treg polarization (7). We conjecture that the distinctive repetitions of IHR cycle in OSAS children directly bring about the disproportion of CD4+T lymphocyte subsets through
activating HIF-1. Therefore, such an immune imbalance may serve as a reliable screening index for the clinical diagnosis of pediatric OSAS. To confirm our hypothesis, we started with
characterizing the constitution of CD4+T-lymphocyte lineages in both hypertrophied tonsils and circulation for OSAS children as compared with PS subjects. Next, the potential relevance of
lymphocyte patterns with OSAS severity, HIF-1, and inflammatory biomarkers were evaluated. Furthermore, we performed the follow-up visits to assess the effect of surgery on the distribution
of circulating CD4+T-lymphocyte subsets. RESULTS BASIC CHARACTERISTICS A total of 53 nonobese children underwent tonsillectomy (with or without adenoidectomy) for obstructive adenotonsillar
hypertrophy was included in the final analyses. Twenty-five children were confirmed to be OSAS (OSAS group), and 28 cases were PS group according to an overnight PSG. Nineteen matched
children were enrolled as healthy controls (HC group). The baseline parameters of the three groups are summarized in TABLE 1 . All participants were Chinese. There was no obvious difference
in tonsillar size, EES, or OSA-18 score between the PS group and the OSAS group before AT. The mean of obstructive AHI was significantly higher in the OSAS group (34.76 ± 15.28) than the PS
group (0.76 ± 0.21). Three subjects were classified with mild OSAS, 5 subjects were moderate, and 17 subjects were severe according to preoperative PSG. LYMPHOCYTIC DISTRIBUTION IN TONSILS
AND CIRCULATION No difference between girls and boys was emerged (_P_ > 0.05). As shown in TABLE 2 , the distribution of tonsillar CD4+T-lymphocyte subsets was comparable between PS and
OSAS groups (_P_ > 0.05 for all). In contrast, the percentages of peripheral Th1, Th17, and Th22 lymphocytes were increased and Tregs was significantly decreased in the OSAS group
compared to the PS and HC groups ( TABLE 3 ; FIGURES 1 and 2 ). As a result, the ratios of Th17/Treg, Th1/Treg, and Th22/Treg were obviously higher in OSAS subjects in contrast to other two
groups. In addition, there were no differences between the counts of lymphocyte subsets in the tonsils and the same subsets in the peripheral blood ( TABLES 2 and 3 ). The quantification of
representative cytokines by enzyme-linked immunosorbent assay (ELISA) and transcription factors by qPCR verified the results of flow cytometry. For instance, the peripheral Th17 frequency in
all participants was positively correlated with plasma concentrations of IL-17 (_r_ = 0.538, _P_ = 0.006) and the expression of RORγt mRNA in peripheral blood mononuclear cells (PBMCs) (_r_
= 0.436, _P_ = 0.011). Similar linear correlations were confirmed with other lymphocyte subsets. In brief, it turned out to be good consistency between three methods. CIRCULATING TH17/TREG
IMBALANCE CHARACTERIZED OSAS In the OSAS children, the proportion of various lymphocyte subtypes expressed, either alone or as ratios, were not associated with tonsillar size, OSA-18 or ESS
score ( TABLE 4 ). Instead, the circulating Th17/Treg ratio was correlated with AHI (_r_ = 0.716, _P <_ 0.001) and proinflammatory markers including hypersensitive C-reactive protein
(hsCRP) (_r_ = 0. 473, _P_ = 0.017) and HIF-1α (_r_ = 0.761, _P_ < 0.001; FIGURE 3 ). Moreover, HIF-1α mRNA expression in PBMCs was positively correlated with AHI (_r_ = 0.584, _P_ <
0.001). As for PS group, the circulating Th17/Treg ratios were not significantly correlated with AHI (_r_ = 0.104, _P_ = 0.061) or proinflammatory markers, including hsCRP (_r_ = 0.137, _P_
= 0.143) and HIF-1α (_r_ = 0.110, _P_ = 0.174). No correlation mentioned above was identified (data not shown). Next, we performed stepwise regression analyses to further examine independent
predictors of circulating Th17/Treg ratio in the OSAS children ( TABLE 5 ). The Th17/Treg ratio in the initial univariate analysis exhibited a significant correlation with AHI (_P_ = 0.017)
and HIF-1α (_P_ = 0.035) but not tonsillar grade (_P_ = 0.058).The circulating Th17/Treg ratio in the multiple regression analysis was only positively associated with AHI (_P_ = 0.006)
after controlling for potential confounding factors. CHANGES IN LYMPHOCYTIC PROPORTIONS AND SERUM INFLAMMATORY CYTOKINES AFTER ADENOTONSILLECTOMY IN OSAS CHILDREN A total of 43 children (20
children with PS and 23 cases with OSAS) completed the follow-up visit 6 mo after surgery, while the remaining 10 children completed clinical evaluations over the telephone. For the 23 OSAS
children, an apparent decrease in OSA-18 (80.7 ± 21.52 vs. 30.6 ± 14.9, _P_ < 0.001) and ESS scores (16.41 ± 3.67 vs. 4.25 ± 1.63, _P_ < 0.001) were identified. All patients showed
significant reductions in OSAS severity as illustrated by AHI (34.76 ± 15.28 vs. 3.04 ± 1.82, _P_ < 0.05). The changes in the distribution of CD4+T subsets and corresponding cytokines and
transcription factors are presented in TABLE 3 and FIGURES 4 and 5 . The peripheral frequencies of Th1, Th22, and Th17 cells were apparently decreased and the peripheral Treg percentage was
obviously increased after surgery in the OSAS subjects (_P_ < 0.05, TABLE 3 ). Coincident results were confirmed with corresponding cytokines and transcription factors. Consequently, the
Th17/Treg ratio was significantly decreased after surgery (1.14 ± 0.56 vs. 0.22 ± 0.11, _P_ < 0.05, FIGURE 5 ). Before surgery, HIF-1α and hsCRP expression were both markedly increased
in OSAS group comparing with PS and HC subjects ( TABLE 3 ). But a positive correlation between hsCRP concentration and HIF-1α mRNA expression was only demonstrated in the OSAS children (_r_
= 0.463, _P_ = 0.023, FIGURE 3 ), but not in the PS group (_r_ = 0.285, _P_ = 0.074) or the HC group (_r_ = 0.193, _P_ = 0.107). As shown in FIGURE 5 , AT could normalize the levels of
circulating HIF-1α and hsCRP in OSAS children. In a word, the peripheral Th17/Treg ratio was markedly reduced after surgery and accompanied by a parallel amelioration in OSAS severity and
the proinflammatory state. DISCUSSION Here, we showed that the peripheral Th17/Treg ratio was positively correlated with the incidence of IHR, namely AHI in OSAS children. Moreover, the
correction of the Th17/Treg imbalance was parallel to the elimination of obstruction and hypoxia after adenotonsillectomy. It further demonstrated that such a disproportion of CD4+T-
lymphocyte subsets was directly derived from OSAS. In this sense, it can serve as a clinic indicator of OSAS. THE IMBALANCE OF CD4+T-LYMPHOCYTE SUBSETS It should be noted that only PS
children who underwent adenotonsillectomy due to obvious tonsillar hypertrophy were eligible for our analyses. The PS and OSAS children were carefully matched for tonsillar sizes and
obstructive symptoms. The similar extent of local inflammation may explain the comparable distribution pattern of tonsilar lymphocytes in two groups. Consistently, Verhulst _et al._ (8)
found that the airway inflammation was not appreciably different in PS and OSAS children. Indeed, the enhanced inflammatory events in local tonsils could be triggered and maintained by
snoring and the associated vibration frequencies, with recurring upper airway collapse that promotes soft-tissue damage. In this sense, the extent of lymphocyte activation in hypertrophied
tonsils can hardly discriminate pediatric OSAS from other types of SDB. In contrast, the circulating formation of lymphocyte subsets exhibited a closer relevance with the proinflammatory
status in OSAS subjects. The Th17/Treg imbalance is proved to be widely existed in human cancer, inflammatory, and autoimmune diseases (4,5,6). In consistence with our results in adults with
OSAS (6), the imbalanced Th17/Treg ratio was independently correlated with the severity of OSAS. The altered Th17/Treg balance may contribute to the variance in systemic inflammation and
downstream morbidities that are associated with OSAS (3,9). The balance or interplay between various immune cells reflects the reciprocity of anti- and proinflammatory driving forces, which
serves as a promising clinical assessment predictor. A positive relationship between circulating Th17 and Th22 frequencies identified in our OSAS children had been demonstrated in various
diseases (10,11,12).This functional synergism of Th22 and Th17 cells could lead to a dramatic and persistent inflammation in OSAS. On the other hand, Tan _et al._ (13,14) demonstrated that
children with OSAS had a lower percentage of Tregs than controls. A declined in frequency and impaired function of Tregs in pediatric OSAS may be associated with a young age (15), sleep
fragmentation or sleep deprivation (16), a higher incidence of methylation in iFOXP3 gene (17), and varied phenotypes. HIF-1Α IN OSAS Yuan reported an obvious increase in the transcriptional
activity of the HIF-1 gene in response to 60 and 120 cycles of IHR but not to fewer cycles (18). Actually, the AHI index represents the mean incidence of IHR cycle per hour throughout the
night. Thus, we speculate that HIF-1 expression can only be intensively enhanced when the extent and frequency of IHR increases to a particular point. These may explain the positive
correlation between HIF-1α and AHI identified only in the OSAS subjects but not in the PS group. Besides an inflammatory cytokine, HIF-1α is proved to be a critical integrator of metabolic
cues that are responsible for the initiation of an adaptive cellular response to hypoxia by orchestrating a Th17/Treg disproportion (19). Here, we detected the potential relationship between
HIF-1α and Th17/Treg disproportion in order to clarify the underlying mechanism of immune imbalance in OSAS. As a result, a positive correlation between them further corroborates our
speculation that the repetitive IHR cycles in OSAS lead to HIF-1α gene activation and subsequently immune dysregulation. SURGERY ON THE PROFILE OF LYMPHOCYTE SUBSETS Improvements in
SDB-related symptoms were accompanied by an apparent abatement of circulating Th17 and Th22 activation and a significant upregulation of Treg percentage in SDB children. The reversibility of
lymphocyte activation and cytokine explosion after adenotonsillectomy further support a direct effect of OSAS on systemic immunity independent of obesity. Steiropoulos _et al_. (20)
demonstrated that nasal continuous positive airway pressure therapy selectively decreased the peripheral CD4+T-lymphocyte counts in OSAS patients. In brief, specific therapies for sleep
apnea, either surgery or nasal continuous positive airway pressure, relieve the obstructive symptoms and also correct the immune imbalance underlying the long-term complications of OSAS.
LIMITATIONS Some considerations must be acknowledged. First, we excluded obese children, which is a major confounder in most studies of OSAS. It suggests that the elevated CRP levels
correlate with adipose tissue mass and obesity rather than OSAS. Indeed, obesity is also viewed as an inflammatory disorder and associated with a high risk for OSAS-induced morbidity (21).
Second, we did not explore proliferation or function of lymphocyte subsets _in vitro_. Indeed, a previous report showed an enhanced proliferation of lymphocytes and increased concentration
of cytokines in tonsils derived from OSAS children (22). Independent of these considerations, our findings comprehensively depicted the regional and systemic pattern of CD4+T-lymphocyte
subsets in the context of pediatric OSAS. Moreover, we investigated their clinical relevance and prognostic significance, all of which deserve further exploration. CONCLUSION In summary, our
results indicate a direct association of the peripheral Th17/Treg imbalance with the repetitive IHR, subsequent inflammation and the severity of OSAS. Further studies to determine the
threshold of Th17/Treg ratio as a valuable index in the clinical diagnosis and treatment response evaluation in OSAS would be of considerable interest. The molecular mechanisms that lead to
an increased Th17/Treg ratio in response to IHR and the potential role of HIF-1 in this context should be explored in greater detail. It may provide greater insight into the pathological
consequences of OSAS, and be essential to formulate strategies for long-term treatment and prevention in childhood. METHODS SUBJECTS AND PROTOCOL Consecutive children (4 ≤ age ≤ 12 y) who
underwent tonsillectomy (with or without adenoidectomy) for SDB between January 2009 and December 2012 were eligible for enrollment. All the children had signs and symptoms of a sleep
disturbance, including snoring, mouth breathing, and witnessed breath holding, for at least 3 mo. The following factors were indications for adenotonsillectomy (23): (i) adenotonsillar
hypertrophy (tonsils >2+ and/or adenoids >1+), (ii) symptoms of SDB >3 nights per week, and (iii) AHI >1 episode per hour of sleep. It is unethical to obtain tonsil samples in
children who do not undergo adenotonsillectomy, and not all PS children generally need adenotonsillectomy. Only some PS children require surgery to eliminate obstructive symptoms due to
hypertrophic tonsils and adenoids, frequent snoring, and a disturbed quality of life. This PS subpopulation is suitable for comparisons with OSAS. We prospectively identified SDB children
and allocated them into two groups based on the presence of an AHI >1 (namely OSAS) to identify distinctive characteristics for OSAS. The enrolled children were carefully screened and
matched for age, sex, tonsillar size, BMI _z_ score, and ethnicity. Healthy nonobese children without SDB-related symptoms were recruited as control subjects during the research period. All
the control children had an AHI ≤ 1 during sleep and no adenotonsillar hypertrophy. The following exclusion criteria were used for all participants: (i) recurrent tonsillitis or otitis
media; (ii) allergy or atopic condition, such as asthma or allergic rhinitis; (iii) craniofacial abnormalities; (iv) chronic pulmonary, cardiovascular, neuromuscular, or genetic disorders;
(v) symptoms or signs of acute or chronic inflammatory disorders; (vi) any known immunodeficiency; and (vii) use of nasal corticosteroids, systemic steroids, or antibiotics within 6 mo
before surgery. The patients with sleep disorders, such as upper airway resistance syndrome, central sleep apnea syndrome, periodic limbs movement, or narcolepsy, were also removed from the
final analyses. All participants were required to complete a clinical evaluation within 2 wk before surgery and 6 mo after adenotonsillectomy that included an obstructive sleep apnea 18-Item
quality-of-life questionnaire (OSA-18), Epworth sleepiness scale (ESS) evaluation, blood assay, and overnight PSG. The Institutional Review Board of Sun Yat-sen University approved the
study, and informed consent was obtained from the legal caregiver of each participant. DATA COLLECTION Current and previous medical histories were recorded, and an overall physical
examination was performed for each participant. Anthropometric data (age, sex, BMI _z_ score) and SDB-related symptoms were recorded. Obesity was defined as a BMI in the > 95th percentile
for gender and age, which corresponded to a BMI _z_ score of 1.64, based on normal values of Chinese children using CDC 2000 growth standards and online software. Therefore, nonobese
children were included if their BMI _z_ score was <1.64. Notably, a preoperative evaluation of tonsil size but not adenoid size is better correlated with symptoms and PSG-measured OSAS
severity (24,25). Tonsil size in children was graded as 0 to 4 suggested by Brodsky (26), according to an assessment performed with an endoscope by otolaryngology clinicians within 1 wk
before surgery. All data were collected using a specially designed case report form, and the data were manually double-entered into a Microsoft Excel master sheet to build our database.
Another researcher checked all forms for errors. OVERNIGHT POLYSOMNOGRAPHY A sleep medicine physician interpreted the PSG results. PSG was conducted using the Embla-Monet 32 Sleep System
(Embla, Broomfield, CO) and manually scored by a single registered technologist as described in our previous work (6,27,28). Hypopnea was defined as a decrease of ≥30% in thoracoabdominal
motion associated with a fall in baseline oxygen saturation of _>_4%. The severity of hypoxia was assessed by calculating the lowest oxygen saturation (nadir SaO2) and the percentage of
total sleep time spent with an oxygen saturation at SaO2 <90%.The obstructive apnea–hypopnea index (OAHI) was defined as the total number of obstructive and mixed apneas and obstructive
hypopneas per hour of total sleep time, and SDB severity was defined as follows (29,30): OAHI ≤ 1 event/h = PS; OAHI > 1- ≤ 5 events/h = mild OSA; OAHI > 5–10 events/h = moderate OSA;
OAHI > 10 events/h = severe OSA. Subjects with central sleep apnea were not included in this study. TISSUE COLLECTION AND PREPARATION Tonsil tissues were placed in ice-cold
phosphate-buffered saline (PBS) immediately after surgical excision and transferred rapidly to the laboratory for further processing. The tonsils were washed in saline solution to eliminate
any possible blood contamination and divided into halves. One half of the tissue sample was fixed in 4% buffered formalin, routinely processed for subsequent immunohistochemical assessment.
The remaining tonsillar tissue was manually dissected, screened, and washed to separate tonsillar mononuclear cells. The cell pellet was resuspended in Roswell Park Memorial Institute medium
(all from Gibco BRL, Gaithersburg, MD) for use in a quantitative real-time polymerase chain reaction (RT-qPCR) or flow cytometry. BLOOD SAMPLES AND PBMC ISOLATION Blood samples were
obtained in the morning after PSG following an overnight fast. Peripheral whole blood samples (15–20 ml) were collected in collection tubes containing 0.2 ml sodium heparin. PBMCs were
isolated from whole blood using Ficoll-Hypaque density centrifugation according to the manufacturer’s instructions. FLOW CYTOMETRIC ANALYSIS Intracellular cytokines were studied using FCM to
identify cytokine-producing cells. Briefly, PBMCs or tonsillar mononuclear cells were suspended at a density of 2 × 106 cells/ml in complete culture medium (Roswell Park Memorial Institute
1640 medium supplemented with 100 U/ml penicillin, 100 μg/ml streptomycin, 2 mmol/l glutamine, 10% heat-inactivated fetal calf serum; Gibco BRL, Gaithersburg, MD). Cultures were stimulated
with phorbol myristate acetate (50 ng/ml) plus ionomycin (1 μmol/l) for 4 h in the presence of monensin (500 ng/ml; all from Alexis Biochemicals, San Diego, CA). An incubator was set at 37
°C under a 5% CO2 environment. The contents of each well were transferred to 5-ml sterile tubes after 4 h of culture and centrifuged at 1,500 rpm for 5 min. The following monoclonal
antibodies were used in this study: PerCP-eFluor 710-conjugated anti-CD8, APC-conjugated anti-CD3, APC-conjugated anti-CD25, FITC-conjugated anti-IFNγ, Alexa Fluor 488-conjugated anti-IL17A,
PE-conjugated anti-IL4, PE-conjugated anti-IL22, and PE-conjugated anti-FoxP3. Isotype controls were given to enable correct identification and confirm antibody specificity. All antibodies
were from eBioscience (San Diego, CA). Cells were incubated with surface antibodies for 15 min at room temperature, and the cells were stained with intracellularly antibodies using the
Fix/Perm Buffer Kit (eBioscience, San Diego, CA) for fixation and permeabilization according to the manufacturer’s protocol. The prevalence of Th17 cells in PBMCs was expressed as a ratio of
CD4+IFN-γ¯IL-22¯IL-17+/CD4+T cells. Th22 was defined as CD4+IFN-γ¯IL-17¯IL-22+ T cells to exclude Th1 or Th17 cells. The prevalence of Treg cells was expressed as a ratio of
CD4+CD25+Foxp3+/CD4+T cells. Stained cells were analyzed with flow cytometric analysis using a FACScan flow cytometer (Becton Dickinson, Franklin Lakes, NJ) equipped with CELLQest Pro 5.2
software (BD Biosciences, PharMingen). The data were analyzed using FlowJo (TreeStar, Ashland, OR). Lymphocyte subsets are expressed as percentages of the total amount of CD4+ cells isolated
from tonsillar cellular suspensions or peripheral blood. MEASUREMENT OF PLASMA CYTOKINES AND HSCRP USING ELISA To verify the results of flow cytometry, we also quantified representative
cytokines of CD4+T-lymphocyte lineages by ELISA: Th1 (IFN-γ), Th2 (IL-4), Th22 (IL-22), Th17 (IL-17), and Treg (TGF-β1). The plasma levels of related cytokines were measured using ELISA
following the manufacturer’s instructions for each product (ELISA kits, all from R&D system, Minneapolis, MN). The minimal detectable concentrations were 2 pg/ml for IL-17, 9 pg/ml for
IL-22, 0.7 pg/ml for IL-6, and 5 pg/ml for TGF-β1. The serum levels of hsCRP were determined with particle-enhanced immunoturbidimetry (Beijing O&D Biotech Company, Cox Bio China,
Beijing, China). The lower limit of detection for hsCRP was 0.06 mg/l. All samples were measured in triplicate. REAL-TIME QUANTITATIVE RT-PCR The expression of representative transcription
factors of each lineage were assessed by qPCR: Th1 (T-bet), Th2 (GATA-3), Th22 (AhR), Th17 (RORγt), and Treg (FOXP3). Total RNA was extracted from PBMCs and tonsillar mononuclear cells using
TRIzol extraction (Invitrogen, Carlsbad, CA) and quantified using a spectrophotometer based on the absorbance A260/A280 ratio. The primer pairs used are listed in TABLE 6 . Quantitative
real-time PCR were performed using TaqMan one-step RT-PCR reagents kits (Applied Biosystems, Foster City, CA) according to the manufacturer’s instructions. Thermo-cycling was run in an ABI
Prism 7900 Sequence Detection System (Applied Biosystems) with the following conditions: 30 min at 50 °C, 10 min at 95 °C, 40 cycles of 15 s at 95 °C, and 1 min at 60 °C. STATISTICAL
ANALYSIS The values in the tables and figures unless stated otherwise are expressed as the means ± SD. Student’s _t_-test or one-way ANOVA was used when appropriate to compare continuous
variables, and _χ_2 test was used for categorical variables. Spearman’s correlation analyses were conducted to examine potential associations between systematic distributions of the
CD4+T-lymphocyte subsets and other variables. Univariate and stepwise multivariate linear regression analyses were conducted with the Th17/Treg ratio as a dependent variable in relation to
AHI and other covariates. A _P_ value <0.05 indicated significance. Statistical analyses were performed using a commercial software package (SPSS, version 15) STATEMENT OF FINANCIAL
SUPPORT This study was supported by the Science and Technology Planning Project of Guangdong Province, China (No.2011B061300008). DISCLOSURES None of the participating institutions and
authors has conflicts of interest regarding the study. REFERENCES * Marcus CL, Brooks LJ, Draper KA, et al.; American Academy of Pediatrics. Diagnosis and management of childhood obstructive
sleep apnea syndrome. _Pediatrics_ 2012;130:e714–55. Article Google Scholar * Ryan S, Taylor CT, McNicholas WT. Selective activation of inflammatory pathways by intermittent hypoxia in
obstructive sleep apnea syndrome. _Circulation_ 2005;112:2660–7. Article CAS Google Scholar * Garvey JF, Taylor CT, McNicholas WT. Cardiovascular disease in obstructive sleep apnoea
syndrome: the role of intermittent hypoxia and inflammation. _Eur Respir J_ 2009;33:1195–205. Article CAS Google Scholar * Liu H, Zhang T, Ye J, et al. Tumor-infiltrating lymphocytes
predict response to chemotherapy in patients with advance non-small cell lung cancer. _Cancer Immunol Immunother_ 2012;61:1849–56. Article CAS Google Scholar * Cheng X, Yu X, Ding YJ, et
al. The Th17/Treg imbalance in patients with acute coronary syndrome. _Clin Immunol_ 2008;127:89–97. Article CAS Google Scholar * Ye J, Liu H, Zhang G, et al. The treg/th17 imbalance in
patients with obstructive sleep apnoea syndrome. _Mediators Inflamm_ 2012;2012:815308. Article Google Scholar * Barbi J, Pardoll D, Pan F. Metabolic control of the Treg/Th17 axis. _Immunol
Rev_ 2013;252:52–77. Article Google Scholar * Verhulst SL, Aerts L, Jacobs S, et al. Sleep-disordered breathing, obesity, and airway inflammation in children and adolescents. _Chest_
2008;134:1169–75. Article Google Scholar * Dyugovskaya L, Lavie P, Lavie L. Lymphocyte activation as a possible measure of atherosclerotic risk in patients with sleep apnea. _Ann N Y Acad
Sci_ 2005;1051:340–50. Article CAS Google Scholar * Zhang L, Li JM, Liu XG, et al. Elevated Th22 cells correlated with Th17 cells in patients with rheumatoid arthritis. _J Clin Immunol_
2011;31:606–14. Article CAS Google Scholar * Zhang L, Li YG, Li YH, et al. Increased frequencies of Th22 cells as well as Th17 cells in the peripheral blood of patients with ankylosing
spondylitis and rheumatoid arthritis. _PLoS One_ 2012;7:e31000. Article CAS Google Scholar * Truchetet ME, Brembilla NC, Montanari E, Allanore Y, Chizzolini C. Increased frequency of
circulating Th22 in addition to Th17 and Th2 lymphocytes in systemic sclerosis: association with interstitial lung disease. _Arthritis Res Ther_ 2011;13:R166. Article CAS Google Scholar *
Tan HL, Gozal D, Wang Y, et al. Alterations in circulating T-cell lymphocyte populations in children with obstructive sleep apnea. _Sleep_ 2013;36:913–22. Article Google Scholar * Tan HL,
Gozal D, Samiei A, et al. T regulatory lymphocytes and endothelial function in pediatric obstructive sleep apnea. _PLoS One_ 2013;8:e69710. Article CAS Google Scholar * Lages CS, Suffia
I, Velilla PA, et al. Functional regulatory T cells accumulate in aged hosts and promote chronic infectious disease reactivation. _J Immunol_ 2008;181:1835–48. Article CAS Google Scholar
* Bollinger T, Bollinger A, Naujoks J, Lange T, Solbach W. The influence of regulatory T cells and diurnal hormone rhythms on T helper cell activity. _Immunology_ 2010;131:488–500. Article
CAS Google Scholar * Kim J, Bhattacharjee R, Khalyfa A, et al. DNA methylation in inflammatory genes among children with obstructive sleep apnea. _Am J Respir Crit Care Med_
2012;185:330–8. Article CAS Google Scholar * Yuan G, Nanduri J, Bhasker CR, Semenza GL, Prabhakar NR. Ca2+/calmodulin kinase-dependent activation of hypoxia inducible factor 1
transcriptional activity in cells subjected to intermittent hypoxia. _J Biol Chem_ 2005;280:4321–8. Article CAS Google Scholar * Dang EV, Barbi J, Yang HY, et al. Control of T(H)17/T(reg)
balance by hypoxia-inducible factor 1. _Cell_ 2011;146:772–84. Article CAS Google Scholar * Steiropoulos P, Kotsianidis I, Nena E, et al. Long-term effect of continuous positive airway
pressure therapy on inflammation markers of patients with obstructive sleep apnea syndrome. _Sleep_ 2009;32:537–43. Article Google Scholar * Gozal D, Kheirandish-Gozal L. Childhood obesity
and sleep: relatives, partners, or both?–a critical perspective on the evidence. _Ann N Y Acad Sci_ 2012;1264:135–41. Article Google Scholar * Kim J, Bhattacharjee R, Dayyat E, et al.
Increased cellular proliferation and inflammatory cytokines in tonsils derived from children with obstructive sleep apnea. _Pediatr Res_ 2009;66:423–8. Article CAS Google Scholar *
Kaditis AG, Ioannou MG, Chaidas K, et al. Cysteinyl leukotriene receptors are expressed by tonsillar T cells of children with obstructive sleep apnea. _Chest_ 2008;134:324–31. Article
Google Scholar * Toros SZ, Noşeri H, Ertugay CK, et al. Adenotonsillar hypertrophy: Does it correlate with obstructive symptoms in children? _Int J Pediatr Otorhinolaryngol_ 2010;74:1316–9.
Article Google Scholar * Granzotto EH, Aquino FV, Flores JA, Lubianca Neto JF. Tonsil size as a predictor of cardiac complications in children with sleep-disordered breathing.
_Laryngoscope_ 2010;120:1246–51. PubMed Google Scholar * Brodsky L. Modern assessment of tonsils and adenoids. _Pediatr Clin North Am_ 1989;36:1551–69. Article CAS Google Scholar * Ye
J, Liu H, Zhang G, Huang Z, Huang P, Li Y. Postoperative respiratory complications of adenotonsillectomy for obstructive sleep apnea syndrome in older children: prevalence, risk factors, and
impact on clinical outcome. _J Otolaryngol Head Neck Surg_ 2009;38:49–58. CAS PubMed Google Scholar * Ye J, Liu H, Li Y, Liu X, Zhu JM. Increased serum levels of C-reactive protein and
matrix metalloproteinase-9 in obstructive sleep apnea syndrome. _Chin Med J (Engl)_ 2007;120:1482–6. Article CAS Google Scholar * Katz ES, Greene MG, Carson KA, et al. Night-to-night
variability of polysomnography in children with suspected obstructive sleep apnea. _J Pediatr_ 2002;140:589–94. Article Google Scholar * Jackman AR, Biggs SN, Walter LM, et al. Sleep
disordered breathing in early childhood: quality of life for children and families. _Sleep_ 2013;36:1639–46. Article Google Scholar Download references AUTHOR INFORMATION AUTHORS AND
AFFILIATIONS * Sleep Disorders Centre and Department of Otolaryngology-Head and Neck Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China Jin Ye, Peng Li,
Ge-hua Zhang, Qin-tai Yang & Yuan Li * Department of Internal Medicine, Division of Pulmonary and Critical Care, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
Hui Liu * Department of Pediatrics, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China Zhuang-gui Chen Authors * Jin Ye View author publications You can also search
for this author inPubMed Google Scholar * Hui Liu View author publications You can also search for this author inPubMed Google Scholar * Peng Li View author publications You can also search
for this author inPubMed Google Scholar * Zhuang-gui Chen View author publications You can also search for this author inPubMed Google Scholar * Ge-hua Zhang View author publications You can
also search for this author inPubMed Google Scholar * Qin-tai Yang View author publications You can also search for this author inPubMed Google Scholar * Yuan Li View author publications
You can also search for this author inPubMed Google Scholar CORRESPONDING AUTHOR Correspondence to Jin Ye. POWERPOINT SLIDES POWERPOINT SLIDE FOR FIG. 1 POWERPOINT SLIDE FOR FIG. 2
POWERPOINT SLIDE FOR FIG. 3 POWERPOINT SLIDE FOR FIG. 4 POWERPOINT SLIDE FOR FIG. 5 RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Ye, J., Liu, H., Li,
P. _et al._ CD4+T-lymphocyte subsets in nonobese children with obstructive sleep apnea syndrome. _Pediatr Res_ 78, 165–173 (2015). https://doi.org/10.1038/pr.2015.76 Download citation *
Received: 05 September 2014 * Accepted: 19 January 2015 * Published: 10 April 2015 * Issue Date: August 2015 * DOI: https://doi.org/10.1038/pr.2015.76 SHARE THIS ARTICLE Anyone you share the
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