Association of genetic, psychological and behavioral factors with sleep bruxism in a Japanese population
Association of genetic, psychological and behavioral factors with sleep bruxism in a Japanese population
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DOI：
10.1111/j.1365-2869.2011.00961.x
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发表时间：
2012-06-01
影响因子：
4.4
通讯作者：
Baba, Kazuyoshi
中科院分区：
文献类型：
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作者：
Abe, Yuka;Suganuma, Takeshi;Baba, Kazuyoshi
睡眠磨牙症是一种与睡眠相关的运动障碍，可导致口腔面部的各种疼痛和功能障碍。目前病例对照研究的目的是调查遗传、心理和行为因素与日本人群中睡眠磨牙症的关系。随机分为睡眠磨牙症组(n=66)和对照组(n=48)，分别进行临床诊断和便携式微型咬肌3夜肌电记录。采用Epworth嗜睡量表、气质和性格问卷、新五因素问卷和定制问卷，询问家庭聚集性、饮酒、咖啡因摄入量、吸烟、既往紧张性生活事件、日间牙齿接触习惯、颞下颌关节紊乱、日常头痛、鼾声、呼吸暂停/低呼吸症状、腿不宁症状和夜间肌阵挛症状。此外，对与5-羟色胺能神经传递相关的4个基因(SLC6A4、HTR1A、HTR2A和HTR2C)的13个多态性进行了基因分型。在病例组(睡眠磨牙症)和对照组之间比较这些因素，以选择睡眠磨牙症状态的潜在预测因素。统计程序选择了5个预测因子：Epworth嗜睡评分、腿不宁症状、rs6313基因、rs2770304基因和rs4941573基因。然后对选定的预测因素与睡眠磨牙症状态进行多因素逐步Logistic回归分析。分析表明，只有HTR2A单核苷酸多态性rs6313(102C>；T)的C等位基因携带者与睡眠磨牙症的风险增加显著相关(优势比=4.250，95%可信区间：1.59911.297，P=0.004)。这一发现提示睡眠磨牙症的病因可能与基因有关。
Sleep bruxism is a sleep-related movement disorder that can be responsible for various pains and dysfunctions in the orofacial region. The aim of the current casecontrol association study was to investigate the association of genetic, psychological and behavioral factors with sleep bruxism in a Japanese population. Non-related participants were recruited and divided into either a sleep bruxism group (n = 66) or control group (n = 48) by clinical diagnoses and 3-night masseter electromyographic recordings by means of a portable miniature device. The Epworth Sleepiness Scale, Temperament and Character Inventory, NEO-Five Factor Inventory and custom-made questionnaires that asked about familial aggregation, alcohol intake, caffeine intake, cigarette smoking, past stressful life events, daytime tooth-contacting habit, temporomandibular disorder, daily headache, snoring, apnea/hypopnea symptoms, leg-restlessness symptoms and nocturnal-myoclonus symptoms were administered. In addition, 13 polymorphisms in four genes related to serotonergic neurotransmission (SLC6A4, HTR1A, HTR2A and HTR2C) were genotyped. These factors were compared between case (sleep bruxism) and control groups in order to select potential predictors of sleep-bruxism status. The statistical procedure selected five predictors: Epworth Sleepiness Scale, leg-restlessness symptoms, rs6313 genotypes, rs2770304 genotypes and rs4941573 genotypes. A multivariate stepwise logistic regression analysis between the selected predictors and sleep-bruxism status was then conducted. This analysis revealed that only the C allele carrier of HTR2A single nucleotide polymorphism rs6313 (102C>T) was associated significantly with an increased risk of sleep bruxism (odds ratio = 4.250, 95% confidence interval: 1.59911.297, P = 0.004).This finding suggests a possible genetic contribution to the etiology of sleep bruxism.