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Association of Circulating Mir-210 With Post-Stroke Seizures and Clinical Outcome: A Preliminary Study Publisher

Summary: Can miR-210 predict seizures after stroke? A study found an association but poor prediction (AUC 0.48); a clinical risk model performed better (AUC 0.77). #Stroke #Biomarkers

Enayati Y ; Daneshvar Kakhki R ; Kazemi M ; Yazdani A ; Motedayyen H ; Noorbakhsh M
Authors

Source: IBRO Neuroscience Reports Published:2026


Abstract

Background: Post-stroke seizure (PSS) is characterized by sudden, uncontrolled electrical activity in the brain following a stroke. Currently, reliable biomarkers for PSS are lacking. This study aimed to investigate serum levels of microRNA-210 (miR-210) as potential diagnostic and prognostic markers for PSS. Methods: Serum samples (2 mL) were collected from 40 patients with ischemic and hemorrhagic stroke (IS and HS) upon admission, along with 20 healthy controls. Serum miR-210 levels were measured using real-time PCR. Diagnostic and prognostic accuracy was assessed for miR-210 and the PoSERS model. Demographic and clinical data, including age, sex, stroke type, and stroke location, were recorded. The laboratory parameters, including white blood cells (WBCs), C-reactive protein (CRP), and erythrocyte sediment rate (ESR), were also assessed. Results: Significant differences were observed in stroke types (IS vs. HS) and stroke locations (cortical vs. subcortical) between patients with and without PSS (P < 0.05). Additionally, triglyceride (TG), HbA1C, and cholesterol levels differed significantly between these groups (P < 0.05). Serum miR-210 levels were significantly lower in stroke patients compared to healthy controls (P < 0.05). After one year of follow-up, miR-210 levels significantly differed between patients with and without PSS, as well as between survivors and non-survivors (P < 0.05). A negative correlation was found between circulating miR-210 and total cholesterol levels in stroke patients (r = -0.338, P < 0.05). However, miR-210 showed limited predictive value for PSS (AUC = 0.48), whereas the PoSERS model demonstrated good predictive performance (AUC = 0.77). Conclusions: Although circulating miR-210 was significantly associated with PSS and disease outcome, it alone does not serve as a reliable biomarker for early diagnosis of PSS. Further studies with longer follow-up periods are needed to validate these findings. © 2026
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