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Braz. j. med. biol. res ; 53(5): e9162, 2020. tab, graf
Article in English | LILACS | ID: biblio-1098111

ABSTRACT

In this study, we aimed to explore the relationship among miR-22, deep cerebral microbleeds (CMBs), and post-stroke depression (PSD) 1 month after ischemic stroke. We consecutively recruited 257 patients with first-ever and recurrent acute cerebral infarction and performed PSD diagnosis in accordance with the Diagnostic and Statistical Manual IV criteria for depression. Clinical information, assessments of stroke severity, and imaging data were recorded on admission. We further detected plasma miR-22 using quantitative PCR and analyzed the relationship among miR-22, clinical data, and PSD using SPSS 23.0 software. Logistic regression showed that deep (OR=1.845, 95%CI: 1.006-3.386, P=0.047) and brain stem CMBs (OR=2.652, 95%CI: 1.110-6.921, P=0.040), as well as plasma miR-22 levels (OR=2.094, 95%CI: 1.066-4.115, P=0.032) were independent risk factors for PSD. In addition, there were significant differences in baseline National Institutes of Health Stroke Scale scores (OR=1.881, 95%CI: 1.180-3.011, P=0.007) and Widowhood scores (OR=1.903, 95%CI: 1.182-3.063, P=0.012). Analysis of the receiver operating curve (AUC=0.723, 95%CI: 0.562-0.883, P=0.016) revealed that miR-22 could predict PSD one month after ischemic stroke. Furthermore, plasma miR-22 levels in brainstem and deep CMBs patients showed an upward trend (P=0.028) relative to the others. Patients with acute ischemic stroke, having brainstem and deep cerebral microbleeds, or a higher plasma miR-22 were more likely to develop PSD. These findings indicate that miR-22 might be involved in cerebral microvascular impairment and post-stroke depression.


Subject(s)
Humans , Male , Female , Middle Aged , Aged , Cerebral Hemorrhage/psychology , Brain Infarction/psychology , MicroRNAs/metabolism , Depression/psychology , Brief Psychiatric Rating Scale , Recurrence , Socioeconomic Factors , Severity of Illness Index , Brain Stem/blood supply , Magnetic Resonance Imaging , Biomarkers/metabolism , Cerebral Hemorrhage/metabolism , Acute Disease , Risk Factors , Depression/metabolism
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