Journal of International Psychiatry

[Abstract] Objective To investigate the correlation between post-stroke cognitive impairment (PSCI) and serum insulin-like growth factor 1 (IGF-1) and microRNA-96. Methods A total of 94 stroke patients in our hospital from April 2019 to January 2022 were selected as the study subjects. The Montreal Cognitive Scale (MoCA) was used to evaluate the cognitive function of patients, and they were divided into the PSCI group and the non-PSCI group. The general information such as gender and age of the two groups of patients were investigated. The serum levels of IGF-1 and microRNA-96 were detected and compared. The correlation between serum IGF-1 and microRNA-96 levels and MoCA score were analyzed. The Receiver operating characteristic (ROC) curve was used to analyze the diagnostic value of serum IGF-1 and microRNA-96 levels in PSCI. Results Among 94 cases of stroke, 42 cases of PSCI occurred. The age and serum microRNA-96 level in the PSCI group were significantly higher than those in the non-PSCI group, and the years of education, NHISS score, and serum IGF-1 level were significantly lower than those in the non-PSCI group (P<0.05). There was no significant difference in gender, residence and stroke type between the two groups (P>0.05). Serum microRNA-96 expression level was positively correlated with MoCA score, and serum IGF-1 level was negatively correlated with MoCA score. ROC curve suggests that the expression levels of serum IGF-1 and microRNA-96 have high predictive value for PSCI. Conclusion PSCI has a high incidence in stroke patients, and the expression levels of serum IGF-1 and microRNA-96 have certain auxiliary diagnostic value for it.

Key words Stroke; Cognitive Dysfunction; Insulin-Like Growth Factor 1; Microrna-96