The Second Clinical School, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
J Psychosom Res. 2023 Dec;175:111517. doi: 10.1016/j.jpsychores.2023.111517. Epub 2023 Oct 11.
While numerous studies have highlighted an increased prevalence of depression in individuals with narcolepsy, their conclusions are often clouded by potential confounding factors, leaving the causal relationship uncertain. This study posits that narcolepsy might heighten the risk of depression and employs a two-sample Mendelian randomization analysis to investigate this hypothesis.
Summary statistics were obtained from genome-wide association studies databases and performed a two-sample MR analysis. The inverse-variance weighted method was employed as the primary approach to evaluate causality. Additionally, supplementary methods were conducted, including MR-Egger, simple median, maximum likelihood, weighted median, penalized weighted median, and weighted mode, to complement the IVW results. Finally, sensitivity analyses were undertaken to assess heterogeneity, horizontal pleiotropy, and stability of the results.
The inverse-variance weighted analysis revealed an odds ratio of 1.055 with a 95% confidence interval of 1.015 to 1.097, indicating a significant positive association between narcolepsy and depression. Although significant heterogeneity was observed (Q = 56.22, p = 0.0005), no evidence of horizontal pleiotropy was detected (intercept = -0.00027, p = 0.69). Results from the additional methods were in agreement with those obtained from the inverse-variance weighted analysis. The reverse causality of depression on narcolepsy was not detected (p = 0.11).
This study suggests a potential causal association between narcolepsy and depression. While the findings offer insights into this relationship, they should be interpreted with caution, especially considering the limitations of the data. Further research is needed to better understand the underlying mechanisms and to explore potential interventions.
虽然许多研究都强调了嗜睡症患者中抑郁的患病率增加,但他们的结论往往因潜在的混杂因素而变得模糊不清,使得因果关系不确定。本研究假设嗜睡症可能会增加抑郁的风险,并采用两样本孟德尔随机化分析来研究这一假设。
从全基因组关联研究数据库中获取汇总统计数据,并进行两样本 MR 分析。采用逆方差加权法作为评估因果关系的主要方法。此外,还进行了补充方法,包括 MR-Egger、简单中位数、最大似然、加权中位数、惩罚加权中位数和加权模式,以补充 IVW 结果。最后,进行敏感性分析以评估异质性、水平多效性和结果的稳定性。
逆方差加权分析显示,嗜睡症与抑郁症之间存在显著的正相关,比值比为 1.055,95%置信区间为 1.015 至 1.097。虽然观察到显著的异质性(Q=56.22,p=0.0005),但没有检测到水平多效性的证据(截距=-0.00027,p=0.69)。其他方法的结果与逆方差加权分析的结果一致。没有检测到抑郁对嗜睡症的反向因果关系(p=0.11)。
本研究提示嗜睡症与抑郁之间存在潜在的因果关系。尽管这些发现为这一关系提供了一些见解,但应谨慎解释,特别是考虑到数据的局限性。需要进一步研究以更好地了解潜在的机制,并探索潜在的干预措施。