Liu Yan, Wang Rui, Zeng Junsheng, Zhao Wei, Xiao Yanqiao, Jiang Heng, Wang Te
Department of Neurology, The Affiliated Changsha Central Hospital, University of South China, No. 161 Shaoshan South Road, Changsha, 410004, Hunan, China.
Department of Neurology, Liaocheng People's Hospital, Liaocheng, 252000, Shandong, China.
BMC Neurol. 2024 Dec 26;24(1):491. doi: 10.1186/s12883-024-04003-5.
Stroke is the main cause of death and disability. Post-stroke cognitive impairment (PSCI) is one of the most severe complications of stroke, which lacks effective biomarkers for its early detection.
This study evaluated the significance of lncRNA SIX3OS1 in acute stroke and PSCI aiming to identify a novel biomarker.
The study enrolled 138 patients with acute stroke and 80 healthy individuals. By comparing the serum SIX3OS1 in acute stroke and healthy individuals, the significance of SIX3OS1 in diagnosing acute stroke, assessing disease severity, and predicting the risk of PSCI was revealed.
Significant upregulation of SIX3OS1 in acute stroke was observed, which discriminated patients with acute stroke from healthy individuals and indicated severe disease conditions of patients. There were 72 acute stroke patients who had PSCI accounting for 52.17% that showed a higher serum SIX3OS1 level than post-stroke cognitive normal patients. The increasing serum SIX3OS1 level was also identified as a risk factor for PSCI and could distinguish PSCI patients. Additionally, SIX3OS1 showed a negative correlation with the MoCA score of PSCI patients.
Serum SIX3OS1 level can be considered a biomarker for screening acute stroke and a predictor for PSCI.
中风是死亡和残疾的主要原因。中风后认知障碍（PSCI）是中风最严重的并发症之一，缺乏用于早期检测的有效生物标志物。
本研究评估lncRNA SIX3OS1在急性中风和PSCI中的意义，旨在确定一种新的生物标志物。
本研究纳入138例急性中风患者和80名健康个体。通过比较急性中风患者和健康个体的血清SIX3OS1，揭示SIX3OS1在诊断急性中风、评估疾病严重程度和预测PSCI风险中的意义。
观察到急性中风患者血清SIX3OS1显著上调，这可将急性中风患者与健康个体区分开来，并提示患者的病情严重。72例急性中风患者发生PSCI，占52.17%，其血清SIX3OS1水平高于中风后认知正常的患者。血清SIX3OS1水平升高也被确定为PSCI的一个危险因素，并且可以区分PSCI患者。此外，SIX3OS1与PSCI患者的MoCA评分呈负相关。
血清SIX3OS1水平可被视为筛查急性中风的生物标志物和PSCI的预测指标。
