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Relationship Between MicroRNA Signature and Arterial Stiffness in Patients With Ischemic Stroke

BACKGROUND AND PURPOSE: We investigated whether circulating microRNAs (miRNAs) is associated with arterial stiffness in patients with acute ischemic stroke. METHODS: We recruited patients with acute ischemic stroke who were admitted to a university hospital stroke center and underwent carotid-femora...

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Autores principales: Lee, Sang-Jin, Kim, Jeong-Min, Lee, Eun Sun, Park, Kwang-Yeol, Kim, Hye Ryoun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Neurological Association 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9833874/
https://www.ncbi.nlm.nih.gov/pubmed/36606643
http://dx.doi.org/10.3988/jcn.2023.19.1.28
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author Lee, Sang-Jin
Kim, Jeong-Min
Lee, Eun Sun
Park, Kwang-Yeol
Kim, Hye Ryoun
author_facet Lee, Sang-Jin
Kim, Jeong-Min
Lee, Eun Sun
Park, Kwang-Yeol
Kim, Hye Ryoun
author_sort Lee, Sang-Jin
collection PubMed
description BACKGROUND AND PURPOSE: We investigated whether circulating microRNAs (miRNAs) is associated with arterial stiffness in patients with acute ischemic stroke. METHODS: We recruited patients with acute ischemic stroke who were admitted to a university hospital stroke center and underwent carotid-femoral pulse wave velocity (cfPWV) measurement using SphygmoCor (AtCor Medical, Sydney, Australia) and brachial-ankle PWV using a volume-plethysmography device (VP-1000, Omron Colin, Komaki, Japan). Circulating miRNAs were measured in venous blood samples stored in EDTA. We selected five miRNAs (miR-17, miR-93, miR-450, miR-629, and let-7i) related to atherosclerosis based on a literature review. Pearson’s correlation analysis was applied to the correlations between miRNAs and arterial stiffness parameters. Finally, multivariable linear regression analysis was performed to identify the independent factors for cfPWV. RESULTS: This study included 70 patients (age=71.1±10.3 years [mean±SD], 29 females). The expression levels of miR-93 (r=-0.27, p=0.049) and let-7i (r=-0.27, p=0.039) were inversely correlated with cfPWV. Multivariable linear regression analysis including age, hypertension, and estimated glomerular filtration rate showed that let-7i was independently related with cfPWV (standardized coefficient=-0.262, p=0.036). Correlation analysis indicated that let-7i was positively associated with visceral muscle Hounsfield units on computed tomography (r=0.264, p=0.043). CONCLUSIONS: The expression level of let-7i was independently related to arterial stiffness in patients with cerebral infarction, suggesting that it plays a pathophysiological role in atherosclerosis.
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spelling pubmed-98338742023-01-25 Relationship Between MicroRNA Signature and Arterial Stiffness in Patients With Ischemic Stroke Lee, Sang-Jin Kim, Jeong-Min Lee, Eun Sun Park, Kwang-Yeol Kim, Hye Ryoun J Clin Neurol Original Article BACKGROUND AND PURPOSE: We investigated whether circulating microRNAs (miRNAs) is associated with arterial stiffness in patients with acute ischemic stroke. METHODS: We recruited patients with acute ischemic stroke who were admitted to a university hospital stroke center and underwent carotid-femoral pulse wave velocity (cfPWV) measurement using SphygmoCor (AtCor Medical, Sydney, Australia) and brachial-ankle PWV using a volume-plethysmography device (VP-1000, Omron Colin, Komaki, Japan). Circulating miRNAs were measured in venous blood samples stored in EDTA. We selected five miRNAs (miR-17, miR-93, miR-450, miR-629, and let-7i) related to atherosclerosis based on a literature review. Pearson’s correlation analysis was applied to the correlations between miRNAs and arterial stiffness parameters. Finally, multivariable linear regression analysis was performed to identify the independent factors for cfPWV. RESULTS: This study included 70 patients (age=71.1±10.3 years [mean±SD], 29 females). The expression levels of miR-93 (r=-0.27, p=0.049) and let-7i (r=-0.27, p=0.039) were inversely correlated with cfPWV. Multivariable linear regression analysis including age, hypertension, and estimated glomerular filtration rate showed that let-7i was independently related with cfPWV (standardized coefficient=-0.262, p=0.036). Correlation analysis indicated that let-7i was positively associated with visceral muscle Hounsfield units on computed tomography (r=0.264, p=0.043). CONCLUSIONS: The expression level of let-7i was independently related to arterial stiffness in patients with cerebral infarction, suggesting that it plays a pathophysiological role in atherosclerosis. Korean Neurological Association 2023-01 2023-01-02 /pmc/articles/PMC9833874/ /pubmed/36606643 http://dx.doi.org/10.3988/jcn.2023.19.1.28 Text en Copyright © 2023 Korean Neurological Association https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Lee, Sang-Jin
Kim, Jeong-Min
Lee, Eun Sun
Park, Kwang-Yeol
Kim, Hye Ryoun
Relationship Between MicroRNA Signature and Arterial Stiffness in Patients With Ischemic Stroke
title Relationship Between MicroRNA Signature and Arterial Stiffness in Patients With Ischemic Stroke
title_full Relationship Between MicroRNA Signature and Arterial Stiffness in Patients With Ischemic Stroke
title_fullStr Relationship Between MicroRNA Signature and Arterial Stiffness in Patients With Ischemic Stroke
title_full_unstemmed Relationship Between MicroRNA Signature and Arterial Stiffness in Patients With Ischemic Stroke
title_short Relationship Between MicroRNA Signature and Arterial Stiffness in Patients With Ischemic Stroke
title_sort relationship between microrna signature and arterial stiffness in patients with ischemic stroke
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9833874/
https://www.ncbi.nlm.nih.gov/pubmed/36606643
http://dx.doi.org/10.3988/jcn.2023.19.1.28
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