Serum miR-132 is a risk marker of post-stroke cognitive impairment

• Published in: Neuroscience letters Vol. 615; pp. 102 - 106
• Main Authors: Huang, Sai’e, Zhao, Jiapei, Huang, Danxia, Zhuo, Liping, Liao, Shaoqin, Jiang, Zheng
• Format: Journal Article
• Language: English
• Published: Ireland Elsevier B.V 26.02.2016
• Subjects: Aged; Aged, 80 and over; Biomarkers - blood; Cognition Disorders - blood; Cognition Disorders - diagnosis; Cognition Disorders - etiology; Female; Humans; Male; MicroRNAs - blood; Middle Aged; miR-132; Post stroke cognitive impairment; Risk; Serum; Stroke - blood; Stroke - complications; miR-132; Serum; Post stroke cognitive impairment
• ISSN: 0304-3940; 1872-7972; 1872-7972
• DOI: 10.1016/j.neulet.2016.01.028

•miR-132 in post-stroke cognitive impairment(PSCI) patients’ serum was up-regulated.•Serum miR-132 expression was correlated with the post-stroke cognitive function.•The areas under the receiver operating characteristic curves of miR-132 was 0.961.•Serum miR-132 may be a a risk marker of PSCI. 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. 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. 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. 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.