ArticleMetabolic brain disease2021
Genetic polymorphisms in lncRNAs predict recurrence of ischemic stroke.
Article in Metabolic brain disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Electroacupuncture therapy improves cognitive dysfunction after ischemic stroke in Sprague-Dawley rats by adjusting the lncRNA-MEG3/miR-4640-3p axis.Annals of medicine and surgery (2012) · 2025Article
- LncRNA-MEG3 Mediated Diabetic Cerebral Ischemia-Reperfusion Injury-Induced Apoptosis via Modulating Interaction Between Annexin A2 and Akt in Mitochondria.CNS neuroscience & therapeutics · 2025Article
- The Mechanism Underlying the Regulation of Long Non-coding RNA MEG3 in Cerebral Ischemic Stroke.Cellular and molecular neurobiology · 2023Review
- Novel genetic variants in long non-coding RNA MEG3 are associated with the risk of asthma.PeerJ · 2023Article
- The multifaceted actions of the lncRNA H19 in cardiovascular biology and diseases.Clinical science (London, England : 1979) · 2022Review
- Prediction of Ischemic Stroke Recurrence Based on COX Proportional Risk Regression Model and Evaluation of the Effectiveness of Patient Intensive Care Interventions.Computational and mathematical methods in medicine · 2022Article
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Authors and funding
5 authors.
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Abstract
Genetic polymorphisms in long non-coding RNAs (lncRNAs) are considered as potential genetic biomarkers for the prediction of human complex diseases such as ischemic stroke (IS). However, so far, no reports have focused on the relationship of lncRNA polymorphisms with IS onset and prognosis. In our study, eight potential functional polymorphisms of four well-known lncRNAs (H19 rs2107425 and rs2251375, MALAT1 rs4102217 and rs3200401, MEG3 rs11160608 and rs4081134, SENCR rs4526784 and rs555172) were genotyped in 657 ischemic stroke patients. Then, the association between lncRNA polymorphisms and IS onset and recurrence were investigated. These lncRNA variants were not associated with age onset of IS. However, we observed that MEG3 rs4081134 AA genotype was statistically related with a reduced risk of stroke recurrence, particularly for patients with large-artery atherosclerotic stroke. Also, the decreased risk was more prominent in elders, non-smokers, non-drinkers and hypertensive patients. Furthermore, the variant genotype AA of rs4081134 was an independent predictor for IS recurrence using the multivariate Cox regression model. Our findings indicated that MEG3 rs4081134 can serve as a useful biomarker and potential therapeutic target in IS recurrence. More researches are needed to verify our results and explore the underlying molecular mechanisms.
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