Sai'e Huang1, Jiapei Zhao2, Danxia Huang2, Liping Zhuo2, Shaoqin Liao2, Zheng Jiang3. 1. Department of Rehabilitation Medicine, Rehabilitation Hospital, Fujian University of Traditional Chinese Medicine, Fujian 350003, China. 2. Fujian University of Traditional Chinese Medicine, Fujian 350122, China. 3. Fujian University of Traditional Chinese Medicine, 1Qiuyang Road, Minhou Shangjie, Fuzhou, Fujian 350122, China. Electronic address: sunshine11shine@163.com.
Abstract
BACKGROUND/AIMS: Recently, it has been reported that the microRNA-132(miR-132) is linked with synaptic plasticity and cognitive impairment. The present study investigates that whether miR-132 is altered in circulating blood serum samples of post-stroke cognitive impairment (PSCI) patients. METHODS: We collected samples from 39 subjects with PSCI, 37 subjects with post-stroke cognitive normality (PSCN), and 38 age-matched controls (AMC) for which ages, gender and education level were matched. MiR-132 was detected using a quantitative real-time PCR (qRT-PCR) method. To test the predictive value of miR-132 for PSCI, prediction capabilities were compared using the receiver operating characteristic (ROC) curves and area under curve (AUC) analysis. RESULTS: The level of miR-132 in PSCI patient serum was significantly elevated compared to that of PSCN and AMC subjects. The ROC curve showed that miR-132 achieved an AUC of 0.961 (p<0.0001). Importantly, the miR-132 level was correlated with the Montreal Cognitive Assessment (MoCA) score in PSCI patients. CONCLUSIONS: These results indicated that there was a substantial correlation between serum miR-132 expression and post-stroke cognitive functionality, suggesting that miR-132 may be a risk marker for PSCI. Because of the limitations of this study, the results should be treated with caution.
BACKGROUND/AIMS: Recently, it has been reported that the microRNA-132(miR-132) is linked with synaptic plasticity and cognitive impairment. The present study investigates that whether miR-132 is altered in circulating blood serum samples of post-stroke cognitive impairment (PSCI) patients. METHODS: We collected samples from 39 subjects with PSCI, 37 subjects with post-stroke cognitive normality (PSCN), and 38 age-matched controls (AMC) for which ages, gender and education level were matched. MiR-132 was detected using a quantitative real-time PCR (qRT-PCR) method. To test the predictive value of miR-132 for PSCI, prediction capabilities were compared using the receiver operating characteristic (ROC) curves and area under curve (AUC) analysis. RESULTS: The level of miR-132 in PSCI patient serum was significantly elevated compared to that of PSCN and AMC subjects. The ROC curve showed that miR-132 achieved an AUC of 0.961 (p<0.0001). Importantly, the miR-132 level was correlated with the Montreal Cognitive Assessment (MoCA) score in PSCI patients. CONCLUSIONS: These results indicated that there was a substantial correlation between serum miR-132 expression and post-stroke cognitive functionality, suggesting that miR-132 may be a risk marker for PSCI. Because of the limitations of this study, the results should be treated with caution.