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首页> 外文期刊>Biological research for nursing >Preliminary evidence of a genetic association between tumor necrosis factor alpha and the severity of sleep disturbance and morning fatigue.
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Preliminary evidence of a genetic association between tumor necrosis factor alpha and the severity of sleep disturbance and morning fatigue.

机译:肿瘤坏死因子α与睡眠障碍和早晨疲劳的严重程度之间存在遗传关联的初步证据。

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Although fatigue and sleep disturbance are prevalent symptoms in oncology patients and their family caregivers, little is known about the factors that contribute to interindividual variability in symptom severity ratings as well as in their underlying biological mechanisms. In this study, we sought to determine whether a functional genetic variation in a prominent proinflammatory cytokine, tumor necrosis factor-alpha (TNFA-308G>A [rs1800629] promoter polymorphism) was associated with overall ratings of sleep disturbance and fatigue as well as with the trajectories of these symptoms. Over 6 months, participants completed standardized measures of sleep disturbance and fatigue. Multiple linear regression was used to assess the effect of the TNFA genotype and other covariates on mean sleep disturbance and fatigue scores. Hierarchical linear modeling was used to determine the effect of TNFA genotype on the trajectories of these symptoms. Common allele homozygotes reported higher levels of sleep disturbance (p=.09) and morning fatigue (p=.02) than minor allele carriers. Multivariate analyses demonstrated that age and genotype were predictors of both mean symptom scores and the trajectories of these symptoms. Findings provide preliminary evidence of an association between a functional promoter polymorphism in the TNFA gene and the severity of sleep disturbance and morning fatigue in oncology patients and their family caregivers.
机译:尽管疲劳和睡眠障碍是肿瘤患者及其家庭护理人员的普遍症状,但对导致症状严重性等级及其潜在生物学机制之间个体差异的因素知之甚少。在这项研究中,我们试图确定突出的促炎细胞因子,肿瘤坏死因子-α(TNFA-308G> A [rs1800629]启动子多态性)的功能遗传变异是否与睡眠障碍和疲劳的总体评分以及这些症状的轨迹。在6个月的时间里,参与者完成了睡眠障碍和疲劳的标准化测量。多元线性回归用于评估TNFA基因型和其他协变量对平均睡眠障碍和疲劳评分的影响。分层线性建模用于确定TNFA基因型对这些症状轨迹的影响。普通等位基因纯合子报告的睡眠障碍(p = .09)和早晨疲劳(p = .02)的水平高于未成年人等位基因携带者。多变量分析表明,年龄和基因型是平均症状评分和这些症状轨迹的预测指标。这些发现为肿瘤患者及其家属的TNFA基因功能性启动子多态性与睡眠障碍和早晨疲劳的严重程度之间的关联提供了初步证据。

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