Yang Qiao, Wu Qiong, Zhan Qinqin, Deng Liying, Ding Yongmin, Wang Fen, Chen Jin, Xie Liang
Department of Neurology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Department of Clinical Laboratory, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China; Jiangxi Province Key Laboratory of Laboratory Medicine, Nanchang, China; Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Nanchang, China.
J Clin Neurosci. 2024 Feb;120:102-106. doi: 10.1016/j.jocn.2024.01.007. Epub 2024 Jan 18.
Fatigue is a frequent complaint among patients with narcolepsy. Studies have shown that inflammatory cytokines are associated with fatigue in neurological disorders; however, this association has not been identified in patients with type 1 narcolepsy. The purpose of this study was to investigate the potential relationship between cytokines and fatigue in patients with type 1 narcolepsy.
We investigated the association between 12 inflammatory cytokines and fatigue in 49 patients with type 1 narcolepsy. The Multidimensional Fatigue Inventory-20 was used to assess the fatigue severity. The associations of fatigue were identified using Spearman and Pearson correlation analyses. A linear regression analysis model was used to adjust the confounding factors and evaluate the associations of fatigue.
Correlation analysis showed that the plasma interleukin (IL)-2 level (r = 0.409, p = 0.004) was positively correlated with fatigue in patients with narcolepsy type 1. After adjusting for confounding factors, the linear regression model revealed a positive association between the IL-2 level (β = 1.148, p = 0.04) and fatigue in individuals diagnosed with type 1 narcolepsy.
IL-2 levels show a positive correlation with fatigue in type 1 narcolepsy, suggesting its potential role in the pathophysiology of fatigue.
疲劳是发作性睡病患者常见的主诉。研究表明，炎症细胞因子与神经系统疾病中的疲劳有关；然而，1型发作性睡病患者中尚未发现这种关联。本研究的目的是探讨1型发作性睡病患者细胞因子与疲劳之间的潜在关系。
我们调查了49例1型发作性睡病患者中12种炎症细胞因子与疲劳之间的关联。使用多维疲劳量表-20评估疲劳严重程度。使用Spearman和Pearson相关分析确定疲劳的关联。使用线性回归分析模型调整混杂因素并评估疲劳的关联。
相关分析表明，1型发作性睡病患者血浆白细胞介素（IL）-2水平（r = 0.409，p = 0.004）与疲劳呈正相关。在调整混杂因素后，线性回归模型显示IL-2水平（β = 1.148，p = 0.04）与诊断为1型发作性睡病的个体的疲劳呈正相关。
IL-2水平与1型发作性睡病中的疲劳呈正相关，提示其在疲劳病理生理学中的潜在作用。
