An Updated Meta-Analysis of the Association between Tumor Necrosis Factor-α -308G/A Polymorphism and Obstructive Sleep Apnea-Hypopnea Syndrome
Shi M (2014) An Updated Meta-Analysis of the Association between Tumor Necrosis Factor-a -308G/A Polymorphism and
Obstructive Sleep Apnea-Hypopnea Syndrome. PLoS ONE 9(9): e106270. doi:10.1371/journal.pone.0106270
An Updated Meta-Analysis of the Association between Tumor Necrosis Factor-a -308G/A Polymorphism and Obstructive Sleep Apnea-Hypopnea Syndrome
Anyuan Zhong 0
Xiaolu Xiong 0
Huajun Xu 0
Minhua Shi 0
Elias Zintzaras, University of Thessaly School of Medicine, Greece
0 1 Department of Respiratory Diseases, the Second Affiliated Hospital of Soochow University , Suzhou , China , 2 Department of Endocrinology, the Affiliated Drum Tower Hospital, Nanjing Medical University , Nanjing , China , 3 Department of Otolaryngology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Otolaryngology Institute of Shanghai Jiao Tong University , Shanghai , China
Background: Several studies have reported that the tumor necrosis factor-a (TNF-a) -308G/A polymorphism is associated with susceptibility to obstructive sleep apnea-hypopnea syndrome (OSAHS). However, these results are controversial and conflicting. Objective: To evaluate the association between TNF-a-308G/A and OSAHS risk by meta-analysis. Methods: Electronic databases, including PubMed, Embase, China National Knowledge Infrastructure (CNKI), Wanfang, and Weipu, were searched to identify relevant studies. Data were extracted from the included studies. A model-free approach using odds ratio (OR), generalized odds ratio (ORG) and 95% confidence interval (CI) of the allele contrast to assess the association between the -308G/A polymorphism and OSAHS risk. Cumulative and recursive cumulative meta-analyses (CMA) were also carried out to investigate the trend and stability of effect sizes as evidence accumulated. Results: Seven studies including 1369 OSAHS patients and 1064 controls were identified in this meta-analysis. Significant associations were derived from the variants of the allele contrast [(OR, 1.78; 95% CI, 1.45-2.18) or (ORG, 2.01; 95% CI, 1.273.19). CMA showed a trend of an association. Recursive CMA indicated that more evidence is needed to conclude on the status of significance. No significant publication bias was found. Conclusions: Our meta-analysis suggested that the TNF-a-308G/A polymorphism contribute to the risk of OSAHS. Further studies with larger sample should be performed to confirm our findings.
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. These authors contributed equally to this work.
Introduction
Obstructive sleep apnea-hypopnea syndrome (OSAHS)
becomes a major public health problem all over the world recently.
OSAHS is a respiratory disorder characterized by upper airway
obstruction during sleep, breathing pauses with oxygen
desaturation, and arousal from sleep. The prevalence of OSAHS is 2% in
females and 4% in males of middle-aged groups [1]. Studies show
that OSAHS is an independent risk factor for development of
cardiovascular, thrombotic and metabolic events [23].
Inflammation plays a central role in this pathophysiological process.
Tumor necrosis factor (TNF)-a is a potential pro-inflammatory
cytokine elevated on OSAHS patients and exerted multiple
physiologic effects on sleep fragmentation [4,5]. Also, chronic
intermittent hypoxia (CIH) impairs endothelium-dependent
vasodilator mechanism by stimulating NF-kB-mediated TNF-a
generation [6]. Apparently, understanding the interaction between
OSAHS and TNF-a is essential for developing therapeutic
strategies.
Epidemiological studies confirmed that OSAHS is a chronic
complex disease with strong genetic components [7,8]. Among
OSAHS-related candidate genes, TNF-a has been studied
extensively. TNF-a gene is located on chromosome 6 (6p21), with
several polymorphisms [e.g., -238 G/A (rs361525), -308 G/A
(rs1800629), -857G/A (rs1799724) and -1031 T/C (rs1799964)]
in the promoter region has been identified [9]. Among all the gene
loci, -308 G/A was mostly studied [1016].
However, the association between TNF-a-308 G/A
polymorphism and OSAHS susceptibility still remained unclear, with
inconsistent results from different studies. Also, each study has
limitations in small sample sizes and low statistical power. In order
to shed some light on this controversy, a meticulous meta-analysis,
including a cumulative and a recursive cumulative meta-analysis
Figure 1. Flow chart of literature search and study selection.
doi:10.1371/journal.pone.0106270.g001
[17], was performed for GAS-related variants in the TNF-a gene
and OSAHS.
Materials and Methods
We performed the present meta-analysis according to the
guidelines of Preferred Reporting Items for Systematic Reviews
and Meta-Analysis (PRISMA).
Publication search strategy
To identify all eligible studies that address the association
between the TNF-a-308 G/A polymorphism and OSAHS, we
systematically searched major electronic literature databases,
including PubMed, Embase, China National Knowledge
Infrastructure (CNKI), Wanfang and Weipu. The last search was
updated to March 2013. The following search terms were used:
obstructive sleep apnea hypopnea syndrome or OSAHS or
obstructive sleep apnea syndrome or OSAS or obstructive
sleep apnea or OSA and tumor necrosis factor or TNF or
tumor necrosis factor-a or TNF-a in combination with
gene or polymorphism or variants or alleles.
Additionally, we manually searched for relevant published studies and
review articles. No language restrictions were applied.
Inclusion and exclusion criteria
Included studies met the following criteria for the present
metaanalysis: (1) evaluation of the TNF-a-308 G/A polymorphism and
OSAHS susceptibility, (2) case-control or cohort design, and (3)
sufficient data to determine the genotype distributions. Studies
were excluded for the following reasons: (1) absence of control
subjects, (2) non-clinical studies, (3) reviews, abstracts, or
conference papers, (4) no reported genotype distribution or allele
frequency data and participants were not adults (Age #18 years
old). We accepted the definition of OSAHS provided by authors in
each included study.
Data extraction
Two investigators (Drs. Zhong and Xiong) independently
extracted required data from all the eligible studies. The following
data were collected from each included study: first authors name
and publication year, country, ethnicity, genotyping method; age,
body mass index (BMI), gender distribution, and apnea-hypopnea
index (AHI) of OSAHS and controls; genotype frequency in cases
and controls. We also extracted the following additional
information: case definition, case and control selection. In addition, it was
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recorded whether the genotyping in each study was blinded to
clinical status. If a discrepancy existed in data collecting, it was
resolved by group discussion. If queries or further study details
were needed regarding the included studies, the respective authors
were contacted via electronic mail.
Quantitative data analysis
This meta-analysis (...truncated)