Increased miR-142 Levels in Plasma and Atherosclerotic Plaques from Peripheral Artery Disease Patients with Post-Surgery Cardiovascular Events

There is an intensive effort to identify biomarkers to predict cardiovascular disease evolution. We aimed to determine the potential of microRNAs to predict the appearance of cardiovascular events (CVEs) in patients with peripheral artery disease (PAD) following femoral artery bypass surgery. Forty-...

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Veröffentlicht in:International journal of molecular sciences 2020-12, Vol.21 (24), p.9600
Hauptverfasser: Barbalata, Teodora, Moraru, Oriana E, Stancu, Camelia S, Devaux, Yvan, Simionescu, Maya, Sima, Anca V, Niculescu, Loredan S
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container_issue 24
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container_title International journal of molecular sciences
container_volume 21
creator Barbalata, Teodora
Moraru, Oriana E
Stancu, Camelia S
Devaux, Yvan
Simionescu, Maya
Sima, Anca V
Niculescu, Loredan S
description There is an intensive effort to identify biomarkers to predict cardiovascular disease evolution. We aimed to determine the potential of microRNAs to predict the appearance of cardiovascular events (CVEs) in patients with peripheral artery disease (PAD) following femoral artery bypass surgery. Forty-seven PAD patients were enrolled and divided into two groups, without CVEs ( = 35) and with CVEs ( = 12), during 1 year follow-up. Intra-surgery atherosclerotic plaques from femoral arteries were collected and the levels of miR-142, miR-223, miR-155, and miR-92a of the primary transcripts of these microRNAs (pri-miRNAs), and gene expression of and were determined. Results showed that, in the plaques, miR-142, miR-223, and miR-155 expression levels were significantly increased in PAD patients with CVEs compared to those without CVEs. Positive correlations between these miRNAs and their pri-miRNAs levels and the expression were observed. In the plasma of PAD patients with CVEs compared to those without CVEs, miR-223 and miR-142 were significantly increased. The multiple linear regression analyses revealed significant associations among several plasma lipids, oxidative and inflammatory parameters, and plasma miRNAs levels. Receiver operator characteristic (ROC) analysis disclosed that plasma miR-142 levels could be an independent predictor for CVEs in PAD patients. Functional bioinformatics analyses supported the role of these miRNAs in the regulation of biological processes associated with atherosclerosis. Taken together, these data suggest that plasma levels of miR-142, miR-223, miR-155, and miR-92a can significantly predict CVEs among PAD patients with good accuracy, and that plasma levels of miR-142 can be an independent biomarker to predict post-surgery CVEs development in PAD patients.
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We aimed to determine the potential of microRNAs to predict the appearance of cardiovascular events (CVEs) in patients with peripheral artery disease (PAD) following femoral artery bypass surgery. Forty-seven PAD patients were enrolled and divided into two groups, without CVEs ( = 35) and with CVEs ( = 12), during 1 year follow-up. Intra-surgery atherosclerotic plaques from femoral arteries were collected and the levels of miR-142, miR-223, miR-155, and miR-92a of the primary transcripts of these microRNAs (pri-miRNAs), and gene expression of and were determined. Results showed that, in the plaques, miR-142, miR-223, and miR-155 expression levels were significantly increased in PAD patients with CVEs compared to those without CVEs. Positive correlations between these miRNAs and their pri-miRNAs levels and the expression were observed. In the plasma of PAD patients with CVEs compared to those without CVEs, miR-223 and miR-142 were significantly increased. The multiple linear regression analyses revealed significant associations among several plasma lipids, oxidative and inflammatory parameters, and plasma miRNAs levels. Receiver operator characteristic (ROC) analysis disclosed that plasma miR-142 levels could be an independent predictor for CVEs in PAD patients. Functional bioinformatics analyses supported the role of these miRNAs in the regulation of biological processes associated with atherosclerosis. Taken together, these data suggest that plasma levels of miR-142, miR-223, miR-155, and miR-92a can significantly predict CVEs among PAD patients with good accuracy, and that plasma levels of miR-142 can be an independent biomarker to predict post-surgery CVEs development in PAD patients.</description><identifier>ISSN: 1422-0067</identifier><identifier>ISSN: 1661-6596</identifier><identifier>EISSN: 1422-0067</identifier><identifier>DOI: 10.3390/ijms21249600</identifier><identifier>PMID: 33339419</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Amputation ; Arteriosclerosis ; Atherosclerosis ; Bioinformatics ; Biological activity ; Biomarkers ; Biomarkers - blood ; Biomarkers - metabolism ; Cardiovascular disease ; Cardiovascular diseases ; Cholesterol ; Enzymes ; Female ; Femoral artery ; Femoral Artery - surgery ; Femur ; Gene expression ; Heart attacks ; Humans ; Inflammation ; Lipids ; Male ; Metabolism ; MicroRNAs ; MicroRNAs - blood ; MicroRNAs - metabolism ; Middle Aged ; miRNA ; Peripheral Arterial Disease - blood ; Peripheral Arterial Disease - metabolism ; Peripheral Arterial Disease - surgery ; Plaque, Atherosclerotic - blood ; Plaque, Atherosclerotic - metabolism ; Plaques ; Plasma ; Plasma levels ; Postoperative Complications - blood ; Postoperative Complications - metabolism ; Regression analysis ; Surgery ; Vascular diseases ; Vascular Grafting - adverse effects</subject><ispartof>International journal of molecular sciences, 2020-12, Vol.21 (24), p.9600</ispartof><rights>2020. 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The multiple linear regression analyses revealed significant associations among several plasma lipids, oxidative and inflammatory parameters, and plasma miRNAs levels. Receiver operator characteristic (ROC) analysis disclosed that plasma miR-142 levels could be an independent predictor for CVEs in PAD patients. Functional bioinformatics analyses supported the role of these miRNAs in the regulation of biological processes associated with atherosclerosis. 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source MDPI - Multidisciplinary Digital Publishing Institute; MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central
subjects Adult
Aged
Aged, 80 and over
Amputation
Arteriosclerosis
Atherosclerosis
Bioinformatics
Biological activity
Biomarkers
Biomarkers - blood
Biomarkers - metabolism
Cardiovascular disease
Cardiovascular diseases
Cholesterol
Enzymes
Female
Femoral artery
Femoral Artery - surgery
Femur
Gene expression
Heart attacks
Humans
Inflammation
Lipids
Male
Metabolism
MicroRNAs
MicroRNAs - blood
MicroRNAs - metabolism
Middle Aged
miRNA
Peripheral Arterial Disease - blood
Peripheral Arterial Disease - metabolism
Peripheral Arterial Disease - surgery
Plaque, Atherosclerotic - blood
Plaque, Atherosclerotic - metabolism
Plaques
Plasma
Plasma levels
Postoperative Complications - blood
Postoperative Complications - metabolism
Regression analysis
Surgery
Vascular diseases
Vascular Grafting - adverse effects
title Increased miR-142 Levels in Plasma and Atherosclerotic Plaques from Peripheral Artery Disease Patients with Post-Surgery Cardiovascular Events
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