Abstract：
OBJECTIVE: Inflammation plays an important role in epilepsy. There is evidence for the relationship between proinflammatory cytokines and epilepsy. We aimed to detect the serum levels of multiple cytokines in epilepsy patients, looking for biological indicators, and providing a theoretical basis for the clinical diagnosis, treatment, and prognosis of epilepsy.
METHODS: In this study, 30 patients with drug-resistant epilepsy (DRE), 30 patients with well-controlled epilepsy (WCE), and 29 healthy controls (HC) were enrolled. Multi-proinflammatory cytokines were measured by LUMINX multi-factor detection.
RESULTS: The levels of IL-1β, IL-7, IL-12, and IL-17 were significantly elevated, and the levels of CX3CL1 and ITAC were significantly decreased in epilepsy patients compared with healthy controls. Furthermore, the level of IL-17 was significantly higher in the DRE group compared to WCE. We also found the ratio of IL-7/CX3CL discriminates accurately between patients and controls, with a ROC Area Under the Curve (AUC) of 0.963 (P<0.001). The levels of IL-1β, IL-7, IL-12, and IL-17 in the DRE group were positively correlated with the National Hospital Seizure Severity Scale (NHS3) scores (IL-1β, P = 0.029; IL-12, P = 0.039; IL-17, P = 0.004). IL-17 was positively correlated with seizure frequency (P = 0.050), while ITAC was negatively correlated with seizure frequency (P = 0.012) and Sudden Unexpected Death in Epilepsy-3 (SUDEP-3) scores (P = 0.023).
CONCLUSIONS: IL-1β, IL-12, and IL-17 may be used to predict seizure severity and the IL-7/CX3CL1 ratio may be a candidate biomarker for predicting epileptic seizures. While CX3CL1 and ITAC play anti-epileptic effects, ITAC may be used to assess the risk of SUDEP.
METHODS: In this study, 30 patients with drug-resistant epilepsy (DRE), 30 patients with well-controlled epilepsy (WCE), and 29 healthy controls (HC) were enrolled. Multi-proinflammatory cytokines were measured by LUMINX multi-factor detection.
RESULTS: The levels of IL-1β, IL-7, IL-12, and IL-17 were significantly elevated, and the levels of CX3CL1 and ITAC were significantly decreased in epilepsy patients compared with healthy controls. Furthermore, the level of IL-17 was significantly higher in the DRE group compared to WCE. We also found the ratio of IL-7/CX3CL discriminates accurately between patients and controls, with a ROC Area Under the Curve (AUC) of 0.963 (P<0.001). The levels of IL-1β, IL-7, IL-12, and IL-17 in the DRE group were positively correlated with the National Hospital Seizure Severity Scale (NHS3) scores (IL-1β, P = 0.029; IL-12, P = 0.039; IL-17, P = 0.004). IL-17 was positively correlated with seizure frequency (P = 0.050), while ITAC was negatively correlated with seizure frequency (P = 0.012) and Sudden Unexpected Death in Epilepsy-3 (SUDEP-3) scores (P = 0.023).
CONCLUSIONS: IL-1β, IL-12, and IL-17 may be used to predict seizure severity and the IL-7/CX3CL1 ratio may be a candidate biomarker for predicting epileptic seizures. While CX3CL1 and ITAC play anti-epileptic effects, ITAC may be used to assess the risk of SUDEP.
摘要：
目的：炎症在癫痫中起重要作用。有证据表明促炎细胞因子与癫痫之间的关系。我们旨在检测癫痫患者血清中多种细胞因子的水平，寻找生物指标，为临床诊断提供理论依据,治疗,和癫痫的预后。
方法：在本研究中，30例耐药癫痫（DRE），30例控制良好的癫痫患者（WCE），29名健康对照（HC）入组。通过LUMINX多因素检测检测多种促炎细胞因子。
结果：IL-1β水平，IL-7、IL-12和IL-17显著升高,与健康对照组相比，癫痫患者的CX3CL1和ITAC水平显着降低。此外，DRE组IL-17水平明显高于WCE.我们还发现IL-7/CX3CL的比例能准确区分患者和对照组，曲线下的ROC面积(AUC)为0.963(P<0.001)。IL-1β水平,DRE组IL-7、IL-12、IL-17与国家医院癫痫严重程度量表(NHS3)评分呈正相关(IL-1β,P=0.029;IL-12,P=0.039;IL-17,P=0.004)。IL-17与癫痫发作频率呈正相关(P=0.050),而ITAC与癫痫发作频率(P=0.012)和癫痫猝死-3(SUDEP-3)评分(P=0.023)呈负相关。
结论：IL-1β，IL-12和IL-17可用于预测癫痫发作严重程度，IL-7/CX3CL1比率可能是预测癫痫发作的候选生物标志物。虽然CX3CL1和ITAC具有抗癫痫作用，ITAC可用于评估SUDEP的风险。
方法：在本研究中，30例耐药癫痫（DRE），30例控制良好的癫痫患者（WCE），29名健康对照（HC）入组。通过LUMINX多因素检测检测多种促炎细胞因子。
结果：IL-1β水平，IL-7、IL-12和IL-17显著升高,与健康对照组相比，癫痫患者的CX3CL1和ITAC水平显着降低。此外，DRE组IL-17水平明显高于WCE.我们还发现IL-7/CX3CL的比例能准确区分患者和对照组，曲线下的ROC面积(AUC)为0.963(P<0.001)。IL-1β水平,DRE组IL-7、IL-12、IL-17与国家医院癫痫严重程度量表(NHS3)评分呈正相关(IL-1β,P=0.029;IL-12,P=0.039;IL-17,P=0.004)。IL-17与癫痫发作频率呈正相关(P=0.050),而ITAC与癫痫发作频率(P=0.012)和癫痫猝死-3(SUDEP-3)评分(P=0.023)呈负相关。
结论：IL-1β，IL-12和IL-17可用于预测癫痫发作严重程度，IL-7/CX3CL1比率可能是预测癫痫发作的候选生物标志物。虽然CX3CL1和ITAC具有抗癫痫作用，ITAC可用于评估SUDEP的风险。
