Wang Jianke, Li Mingxiao, Zhang Ze, Duan Yu, Zhang Ziyi, Liu Hanlin, Yang Ke, Liu Jiang
China-Japan Friendship Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Department of Neurosurgery, China-Japan Friendship Hospital, Beijing, China.
J Headache Pain. 2025 Apr 11;26(1):74. doi: 10.1186/s10194-025-02026-y.
Clinical observational evidence suggests a close association between Trigeminal Neuralgia (TN) and Mental disorders (MDs). However, the causal relationship between the two remains unclear. This study aims to observe and analyse the associations between depression, anxiety, insomnia, and TN through clinical research. It also employs Mendelian randomization (MR) analysis to verify the potential genetic correlation between TN and various mental disorders. offering new insights for the diagnosis, prevention, and intervention strategies for TN.
In the cohort study section, clinical data were collected from 154 patients with TN, all of whom were excluded from preoperative use of psychotropic drugs such as carbamazepine. The PHQ-9, GAD-7, and ISI scales were used to assess preoperative symptoms of depression, anxiety, and insomnia. Multivariable linear regression models were used to identify factors associated with questionnaire scores, with model performance evaluated by adjusted R², AIC, BIC, and p-values. Patients with significant positive symptoms preoperatively were followed up one-year after surgery, and non-parametric tests were employed to examine changes in mental disorder symptoms after pain relief. In MR analysis section, the main MR analysis methods include Inverse Variance Weighted (IVW), MR Egger, Weighted Median, Simple Mode, and Weighted Mode. The Benjamini-Hochberg (BH) method was used to adjust the p -values and control the false discovery rate (FDR). Subsequent sensitivity analyses involved Cochran's Q test, MR-Egger regression intercept, MR-pleiotropy residual sum and outlier test (MR-PRESSO).
Multiple linear regression analyses revealed that longer disease duration and greater involvement of trigeminal branches were consistently associated with higher PHQ-9, GAD-7, and ISI scores, while demographic factors and baseline BNI scores showed no significant predictive value. MR analysis indicated that autism (OR = 0.697, 95% CI [0.494-0.982], P = 0.039), schizophrenia (OR = 0.910, 95% CI [0.831-0.997], P = 0.042), and ADHD combined with OCD (OR = 0.175, 95% CI [0.044-0.693], P = 0.013) reduced the risk of TN. Conversely, bipolar disorder (OR = 1.249, 95% CI [1.016-1.535], P = 0.034), depression (OR = 2.375, 95% CI [1.043-5.409], P = 0.039), anxiety (OR = 1.174, 95% CI [1.008-1.368], P = 0.039), and insomnia (OR = 2.036, 95% CI [1.074-3.861], P = 0.029)increased the risk of TN. TN also elevated the risk of anxiety (OR = 1.43, 95% CI [1.04-1.96], P = 0.034), depression (OR = 1.00305, 95% CI [1.00036-1.00549], P = 0.013), and insomnia (OR = 1.00918, 95% CI [1.00236-1.01605], P = 0.008).
Longer disease duration and broader trigeminal nerve involvement were independently associated with increased severity of depressive, anxiety, and insomnia symptoms, highlighting the importance of early clinical intervention in patients with TN. And results of MR analysis provide evidence supporting a causal relationship between MDs and TN. In contrast to the traditional view that pain causes mood changes such as anxiety and depression, a variety of MDs such as anxiety, depression, and insomnia also alter the risk of developing TN.
临床观察证据表明三叉神经痛(TN)与精神障碍(MDs)之间存在密切关联。然而,两者之间的因果关系仍不明确。本研究旨在通过临床研究观察和分析抑郁、焦虑、失眠与TN之间的关联。还采用孟德尔随机化(MR)分析来验证TN与各种精神障碍之间潜在的遗传相关性,为TN的诊断、预防和干预策略提供新见解。
在队列研究部分,收集了154例TN患者的临床数据,所有患者术前均未使用过卡马西平等精神药物。采用PHQ - 9、GAD - 7和ISI量表评估术前抑郁、焦虑和失眠症状。使用多变量线性回归模型确定与问卷得分相关的因素,通过调整后的R²、AIC、BIC和p值评估模型性能。术前有明显阳性症状的患者在术后一年进行随访,采用非参数检验检查疼痛缓解后精神障碍症状的变化。在MR分析部分,主要的MR分析方法包括逆方差加权(IVW)、MR Egger、加权中位数、简单模式和加权模式。采用Benjamini - Hochberg(BH)方法调整p值并控制错误发现率(FDR)。随后的敏感性分析包括Cochran's Q检验、MR - Egger回归截距、MR - 多效性残差和离群值检验(MR - PRESSO)。
多元线性回归分析显示,病程较长和三叉神经分支受累范围较大与较高的PHQ - 9、GAD - 7和ISI得分始终相关,而人口统计学因素和基线BNI得分无显著预测价值。MR分析表明,自闭症(OR = 0.697,95% CI [0.494 - 0.982],P = 0.039)、精神分裂症(OR = 0.910,95% CI [0.831 - 0.997],P = 0.042)以及注意力缺陷多动障碍合并强迫症(OR = 0.175,95% CI [0.044 - 0.693],P = 0.013)可降低TN风险。相反,双相情感障碍(OR = 1.249,95% CI [1.016 - 1.535],P = 0.034)、抑郁症(OR = 2.375,95% CI [1.043 - 5.409],P = 0.039)、焦虑症(OR = 1.174,95% CI [1.008 - 1.368],P = 0.039)和失眠症(OR = 2.036,95% CI [1.074 - 3.861],P = 0.029)会增加TN风险。TN也会增加焦虑症(OR = 1.43,95% CI [1.04 - 1.96],P = 0.034)、抑郁症(OR = 1.00305,95% CI [1.00036 - 1.00549],P = 0.013)和失眠症(OR = 1.00918,95% CI [1.00236 - 1.01605],P = 0.008)的风险。
病程较长和三叉神经受累范围更广与抑郁、焦虑和失眠症状严重程度增加独立相关,突出了对TN患者早期临床干预的重要性。MR分析结果为MDs与TN之间的因果关系提供了证据支持。与疼痛导致焦虑和抑郁等情绪变化的传统观点相反,焦虑、抑郁和失眠等多种MDs也会改变患TN的风险。