scholarly journals The correlation of long non‐coding RNA intersectin 1‐2 with disease risk, disease severity, inflammation, and prognosis of acute ischemic stroke

2019 ◽  
Vol 34 (2) ◽  
Author(s):  
Yi Zhang ◽  
Chenglin Niu
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Disease Severity ◽  
Disease Risk ◽  
Non Coding Rna ◽  
Long Non Coding Rna

scholarly journals The implication of circulating long non-coding RNA MALAT1 in diagnosis, disease surveillance and prognosis of acute ischemic stroke

2019 ◽  
Author(s):  
Hongbo Ren ◽  
Feng Wu ◽  
Bin Liu ◽  
Zhi-Yuan Song ◽  
Da-Cheng Qu
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Predictive Value ◽  
Quantitative Polymerase Chain Reaction ◽  
High Expression ◽  
Inflammatory Factor ◽  
Nihss Score ◽  
Non Coding Rna ◽  
Tnf Α ◽  
Long Non Coding Rna

Abstract Background We aimed to investigate predictive value of long non-coding RNA metastasis-associated lung adenocarcinoma transcript 1 (lnc-MALAT1) for acute ischemic stroke (AIS) risk, and the association of lnc-MALAT1 expression with disease severity, inflammation as well as recurrence free survival (RFS) in AIS patients.Methods 120 AIS patients and 120 controls were recruited. Venous blood samples from AIS patients (within 24 hours after symptoms onset) and controls (at entry to study) were collected to detect plasma lnc-MALAT1 expression by real-time quantitative polymerase chain reaction. For AIS patients, AIS severity was assessed by NIHSS score; plasma concentrations of inflammation factors (including C-reactive protein (CRP), tumor necrosis factor α (TNF-α), interleukin (IL)-6, IL-8, IL-10, IL-17 and IL-22) were measure; and RFS was calculated.Results Lnc-MALAT1 expression was decreased in AIS patients compared to controls, and it had a good predictive value for AIS risk (AUC=0.791, 95% CI: 0.735-0.846). For disease condition, lnc-MALAT1 expression negatively correlated with NIHSS score and pro-inflammatory factors expressions (including CRP, TNF-α, IL-6, IL-8 and IL-22), while it positively correlated with anti-inflammatory factor IL-10 expression. Besides, lnc-MALAT1 expression was elevated in AIS complicated with diabetes but numerically reduced in AIS complicated with hepertension. For prognosis, lnc-MALAT1 high expression numerically correlated with longer RFS, but without statistical significance.Conclusion lnc-MALAT1 is downregulated and has a good predictive value of AIS risk, and its high expression correlates with decreased NIHSS score, reduced inflammation, as well as numerically better RFS in AIS patients.

scholarly journals Non-Coding RNA in Acute Ischemic Stroke: Mechanisms, Biomarkers and Therapeutic Targets

2018 ◽  
Vol 27 (12) ◽  
pp. 1763-1777 ◽  
Author(s):  
Sheng-Wen Wang ◽  
Zhong Liu ◽  
Zhong-Song Shi
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Neural Development ◽  
Therapeutic Targets ◽  
Circular Rnas ◽  
Non Coding Rna ◽  
Non Coding Rnas ◽  
Cerebral Ischemic ◽  
Functional Rnas ◽  
The Brain

Non-coding RNAs (ncRNAs) are a class of functional RNAs that regulate gene expression in a post-transcriptional manner. NcRNAs include microRNAs, long non-coding RNAs and circular RNAs. They are highly expressed in the brain and are involved in the regulation of physiological and pathophysiological processes, including cerebral ischemic injury, neurodegeneration, neural development, and plasticity. Stroke is one of the leading causes of death and physical disability worldwide. Acute ischemic stroke (AIS) occurs when brain blood flow stops, and that stoppage results in reduced oxygen and glucose supply to cells in the brain. In this article, we review the latest progress on ncRNAs in relation to their implications in AIS, as well as their potential as diagnostic and prognostic biomarkers. We also review ncRNAs acting as possible therapeutic targets in future precision medicine. Finally, we conclude with a brief discussion of current challenges and future directions for ncRNAs studies in AIS, which may facilitate the translation of ncRNAs research into clinical practice to improve clinical outcome of AIS.

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