Brief CommunicationCytokine gene polymorphisms in obstructive sleep apnoea/hypopnoea syndrome
Introduction
There is increasing evidence that obstructive sleep apnoea/hypopnoea syndrome (OSAHS) is associated with hypertension, cardiovascular disease, metabolic derangements, and impaired glucose tolerance [1]. Sleep disruption in OSAHS may contribute to increased susceptibility to cardiovascular diseases. This effect may be exacerbated by an increase in inflammatory activity due to underlying genetic susceptibility.
It has been found that tumour necrosis factor-α (TNF-α) and interleukin-6 (IL-6) are elevated in OSAHS independently of obesity and that the circadian rhythm of TNF-α secretion is disrupted [2], [3]. Other elevated mediators of inflammation include intercellular adhesion molecule-1 (ICAM-1) and C-reactive protein (C-RP) [4]. TNF-α, C-RP, and IL-6 appear to produce harmful effects by inducing endothelial dysfunction. In particular, TNF-α damages endothelial cells, causes apoptosis, and triggers pro-coagulant activity and fibrin deposition. TNF-α also enhances the production of reactive oxygen species including inducible nitric oxide (NO) [5].
There could be a possible genetic propensity towards increased pro-inflammatory cytokine production in OSAHS. Ryan et al. demonstrated in a cell culture model the selective activation of nuclear factor kappa B (NFκB)-dependent inflammatory pathways through intermittent hypoxia and reoxygenation [6]. In another study, reversing OSAHS using continuous positive airway pressure resulted in a drop in the levels of circulating NFκB-dependent cytokines, specifically TNF-α and IL-8 [7]. However, no consistent associations with OSAHS were found with a number of cytokines, including IL-1, IL-6, IL-8, IL-10, IL-12, and interferon gamma (IFN-γ).
These findings are supported by our previously published work [8], which showed an independent association of the pro-inflammatory TNF-α (−308A) allele with the diagnosis of OSAHS. More recently, Bhushan et al. showed significantly higher levels of TNF-α (−308A) and serum TNF-α levels in obese Asian Indians with obstructive sleep apnoea compared to obese controls [9]. Taken together, results from these studies suggest a disease-promoting role for TNF-α in OSAHS.
TNF-α (−308A) is in linkage disequilibrium with human leucocyte antigen (HLA) class I and II alleles; the class III region, which encodes several components of the complement system; and the major histocompatibility (MHC) class IV cluster, which includes lymphotoxin-α (one of five microsatellites within the TNF locus) and lymphotoxin-β [10]. The association of TNF-α (−308 A) with OSAHS may, therefore, be due to the direct influence of the −308 (A-G) single-nucleotide polymorphism (SNP) in question and/or due to linkage disequilibrium with other polymorphisms within the TNF-α gene or other genes within the HLA system.
Since the publication of our paper [8], evidence has emerged that SNP cytokine interactions are complex and that haplotype analysis may be more informative.
The aims of this study were to investigate the hypothesis that inflammatory consequences associated with TNF-α in OSAHS are due to linkage disequilibrium of the TNF-α (−308A) SNP with the TNF-α promoter polymorphisms (−1031, −863, −857 and −238) and the lymphotoxin-α polymorphisms (intron 1 and Thr60Asn). Based on the studies that have found elevated levels of pro-inflammatory cytokines IL-6 and IL-8 in OSAHS [7], [11], we also hypothesized that this might be due to a predisposition attributable to the pro-inflammatory IL-6 gene promoter polymorphism (−174) and IL-8 gene promoter polymorphisms (−251 and −781).
Section snippets
Method
Patient identification, recruitment and the study design have been previously reported [8]. A total of 103 Caucasian sibling pairs (index case diagnosed with OSAHS on the basis of symptoms and apnoea–hypopnoea index (AHI) ≥ 15) were recruited between 1997 and 2002 at the Department of Sleep Medicine, Edinburgh. A total of 192 random anonymous UK blood donors were used as population controls. The local research ethics committee approved the study.
Anthropometric data of all recruited subjects
Blood donors
DNA from UK Caucasian human random control DNA panels (Product No. HRC-1 96 array and No. HRC-2 96 array) produced by ECACC® (European Collection of Cell Cultures; http://www.phe-culturecollections.org.uk/collections/ecacc.aspx) and distributed by Sigma® was used as a control. All donors had given written informed consent for their blood to be used for research purposes.
Allelic discrimination analysis using TaqMan®
DNA for recruited subjects was extracted using either the Wizard ® R Genomic DNA Purification Kit (Part # TM050; Promega™) or the Nucleon Extraction and Purification Protocol (Product Code: Nucleon BACC3 RPN 8512; © Amersham International plc). The TaqMan system was used to study the SNP. Assay-by-Design® (ABI™) was used to design the probe and primers. Alleles were read and classified on the plots by two readers independently blinded to subject status.
Results
Table 1 shows the characteristics of the recruited population in this study (n = 173; subjects with an indeterminate diagnosis of OSAHS were excluded). Table 2 shows no significant difference across the groups in terms of genotype or allelic frequency in any of the genes investigated. Using the FBAT programme, analysis of the association between disease status and the TNF-α alleles independently (TNF-103, TNF-803, TNF-857 and TNF-238) and with five haplotypes of TNF-α showed no significance (p
Discussion
In this study, no specific genotype of the TNF-α promoter polymorphisms (−1031, −863, −857 and −238) nor of the two lymphotoxin-α polymorphisms (intron 1 and Thr60Asn) were significantly associated with the presence of OSAHS.
Previously, we have shown a significant association for TNF-α (−308A) allele carriage with OSAHS (OR 1.8; 95% CI 1.18–2.75; p = 0.006) compared to population controls (in the same population [8]). Our findings potentially support the direct influence of the TNF-α (−308A)
Conflict of interest
The ICMJE Uniform Disclosure Form for Potential Conflicts of Interest associated with this article can be viewed by clicking on the following link: http://dx.doi.org/10.1016/j.sleep.2015.01.006.
Acknowledgements
Dr Piotr Bielicki was the recipient of an ERS short-term training fellowship (2007).
Helpful assistance with TaqMan analysis was provided by the staff of the Genetics Core Wellcome Trust Clinical Research Facility (Edinburgh, Scotland).
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