Differentially expressed miR-511-3p in stroke patients predicts the present of post-stroke cognitive impairment.

INTRODUCTION: Stroke is common cerebrovascular disease in the elderly, which characterized by neurological defects caused by cerebral vessels. Multiple studies have shown that miRNAs play important roles in stroke. In addition, a large of evidence suggests that stroke increases the risk and severity of cognitive impairments.

METHODS: miR-511-3p expression levels was detected by Real-Time PCR. Receiver operating characteristic curve (ROC) analysis was used to evaluate the diagnostic value of miR-511-3p in distinguishing stroke patients from healthy controls, and to assess risk of post-stroke cognitive impairment (PSCI) in stroke patients. Pearson correlation coefficient was used to determine the relationship between miR-511-3p expression level and Montreal Cognitive Assessment Scale (MoCA) scores.

RESULTS: Serum miR-511-3p expression levels was decreased in stroke patients, and the decrease was more significant in PSCI patients. ROC curve results showed that miR-511-3p had high diagnostic accuracy in distinguishing healthy controls from stroke patients. Moreover, the expression level of miR-511-3p can be used as an independent predictor for the of PSCI, and is positively correlated with MoCA scores of PSCI patients.

CONCLUSION: MiR-511-3p may be involved in the occurrence and development of stroke. In addition, miR-511-3p may be a novel biomarker for predicting PSCI occurred in stroke patients. These results may help to improve the quality of prognosis of stroke.