Diagnostic potential of lncRNAs-ANRIL and MIAT in the blood of patients with cerebral venous thrombosis

<b>Background:</b> Long non-coding ribonucleic acids (lncRNAs) have been implicated as possible circulating stroke indicators. This study focused on the expression status of antisense non-coding ribonucleic acid in the INK4 locus (ANRIL) and myocardial infarction associated transcript (MIAT) in patients with cerebral venous thrombosis (CVT). <b>Methods:</b> In this study, fifty patients with CVT and one hundred age/gender-matched individuals as controls were included. The circulating levels of ANRIL and MIAT in the first 24 hours after admission were evaluated using the quantitative real-time polymerase chain reaction (RT-PCR) method. We compared the expression levels of ANRIL and MIAT between patients and controls using the independent two-sample t-test. Subgroup analysis was used to investigate the association of lncRNAs with clinical characteristics in patients with CVT. Receiver operating characteristic (ROC) curve analyses were conducted to evaluate the diagnostic value of two lncRNAs in patient assessment. <b>Results:</b> The relative expression of lncRNAs ANRIL and MIAT significantly decreased in patients compared to the control. ANRIL and MIAT were shown as potential markers for discriminating patients with CVT from the healthy controls with an area under the curve (AUC) of 0.98 and 0.99, respectively. <b>Conclusion:</b> For the first time, we found down-regulation and diagnostic potential of lncRNAs-ANRIL and MIAT in the blood of patients with CVT.

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Publication Details

Journal
Current Journal of Neurology
Published
2024-10-26
DOI
https://doi.org/10.18502/cjn.v23i2.16840
Citations
2
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.57

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article

Diagnostic potential of lncRNAs-ANRIL and MIAT in the blood of patients with cerebral venous thrombosis

Mahnaz Bayat, Etrat Hooshmandi, Vahid Reza Ostovan, Nima Fadakar et al.
2 citations
Current Journal of Neurology
Cancer-related molecular mechanisms research
0.57
article

Diagnostic potential of lncRNAs-ANRIL and MIAT in the blood of patients with cerebral venous thrombosis

Mahnaz Bayat, Etrat Hooshmandi, Vahid Reza Ostovan, Nima Fadakar, Hamideh Mahmoudinasab, Zoofa Zayani, Negin Gharbi, Reza Tabrizi, Afshin Borhani‐Haghighi, Seyedeh Shamim Hojati, Mousa Rahimi
article en
2 citations

Abstract

<b>Background:</b> Long non-coding ribonucleic acids (lncRNAs) have been implicated as possible circulating stroke indicators. This study focused on the expression status of antisense non-coding ribonucleic acid in the INK4 locus (ANRIL) and myocardial infarction associated transcript (MIAT) in patients with cerebral venous thrombosis (CVT). <b>Methods:</b> In this study, fifty patients with CVT and one hundred age/gender-matched individuals as controls were included. The circulating levels of ANRIL and MIAT in the first 24 hours after admission were evaluated using the quantitative real-time polymerase chain reaction (RT-PCR) method. We compared the expression levels of ANRIL and MIAT between patients and controls using the independent two-sample t-test. Subgroup analysis was used to investigate the association of lncRNAs with clinical characteristics in patients with CVT. Receiver operating characteristic (ROC) curve analyses were conducted to evaluate the diagnostic value of two lncRNAs in patient assessment. <b>Results:</b> The relative expression of lncRNAs ANRIL and MIAT significantly decreased in patients compared to the control. ANRIL and MIAT were shown as potential markers for discriminating patients with CVT from the healthy controls with an area under the curve (AUC) of 0.98 and 0.99, respectively. <b>Conclusion:</b> For the first time, we found down-regulation and diagnostic potential of lncRNAs-ANRIL and MIAT in the blood of patients with CVT.

Current Journal of NeurologyVol. 23(2)
Islamic Azad University, Tehran (IR), Shiraz University of Medical Sciences (IR), Fasa University of Medical Sciences (IR)
Islamic Azad University, Shiraz University of Medical Sciences, Shiraz University
Openalex Percentile: Top 31%
Cancer-related molecular mechanisms research
0.57
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