Circulating MiR-130a-3p is Elevated in Patients with Cerebral Atherosclerosis and Predicts 2-year Risk of Cerebrovascular Events

Overview

Journal BMC Neurol

Publisher Biomed Central

Specialty Neurology

Date 2022 Aug 22

PMID 35996079

Authors

Jialei Xu

Fengchao Gao

Affiliations

Soon will be listed here.

Abstract

Background: Cerebral atherosclerosis (AS) leads to high risk of cerebrovascular events. This study aims to evaluate the diagnostic performance of serum microRNA-130a-3p (miR-130a-3p) in cerebral AS patients, and construct a logistic risk model for 2-year cerebrovascular events on the basis of the prognostic potential of miR-130a-3p.

Methods: Serum samples were collected from 74 cerebral AS patients and 62 control individuals, and miR-130a-3p expression was investigated using reverse transcription quantitative PCR. Risk factors related with cerebral AS were assessed using a logistic regression analysis, and the receiver operating characteristic analysis was performed to evaluate the diagnostic value of miR-130a-3p. The relationship between miR-130a-3p and cerebrovascular events was analyzed using a Kaplan-Meier method, and a logistic risk model was constructed for 2-year cerebrovascular events.

Results: Cerebral AS patients had elevated serum miR-130a-3p compared with controls (P < 0.001). Serum miR-130a-3p had diagnostic value (AUC = 0.899), and could significantly improve the diagnostic accuracy of total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) in cerebral AS patients (AUC = 0.992). High serum miR-130a-3p was independently related with high probability of cerebrovascular events (HR = 1.993, 95% CI = 1.205-2.897, P = 0.006), and a logistic risk model was constructed based on serum miR-130a-3p, hs-CRP, TC and LDL-C.

Conclusion: All the findings indicated that high serum miR-130a-3p had diagnostic potential to screen cerebral AS, and predicted the probability of cerebrovascular events after AS. The logistic risk model based on miR-130a-3p may provide an efficient method to predict 2-year cerebrovascular events in AS patients.

Citing Articles

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