Cargando…
Computing of Low Shear Stress-Driven Endothelial Gene Network Involved in Early Stages of Atherosclerotic Process
BACKGROUND: In the pathogenesis of atherosclerosis, a central role is represented by endothelial inflammation with influx of chemokine-mediated leukocytes in the vascular wall. Aim of this study was to analyze the effect of different shear stresses on endothelial gene expression and compute gene net...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6176299/ https://www.ncbi.nlm.nih.gov/pubmed/30356351 http://dx.doi.org/10.1155/2018/5359830 |
_version_ | 1783361673710534656 |
---|---|
author | Vozzi, Federico Campolo, Jonica Cozzi, Lorena Politano, Gianfranco Di Carlo, Stefano Rial, Michela Domenici, Claudio Parodi, Oberdan |
author_facet | Vozzi, Federico Campolo, Jonica Cozzi, Lorena Politano, Gianfranco Di Carlo, Stefano Rial, Michela Domenici, Claudio Parodi, Oberdan |
author_sort | Vozzi, Federico |
collection | PubMed |
description | BACKGROUND: In the pathogenesis of atherosclerosis, a central role is represented by endothelial inflammation with influx of chemokine-mediated leukocytes in the vascular wall. Aim of this study was to analyze the effect of different shear stresses on endothelial gene expression and compute gene network involved in atherosclerotic disease, in particular to homeostasis, inflammatory cell migration, and apoptotic processes. METHODS: HUVECs were subjected to shear stress of 1, 5, and 10 dyne/cm(2) in a Flow Bioreactor for 24 hours to compare gene expression modulation. Total RNA was analyzed by Affymetrix technology and the expression of two specific genes (CXCR4 and ICAM-1) was validated by RT-PCR. To highlight possible regulations between genes and as further validation, a bioinformatics analysis was performed. RESULTS: At low shear stress (1 dyne/cm(2)) we observed the following: (a) strong upregulation of CXCR4; (b) mild upregulation of Caspase-8; (c) mild downregulation of ICAM-1; (d) marked downexpression of TNFAIP3. Bioinformatics analysis showed the presence of network composed by 59 new interactors (14 transcription factors and 45 microRNAs) appearing strongly related to shear stress. CONCLUSIONS: The significant modulation of these genes at low shear stress and their close relationships through transcription factors and microRNAs suggest that all may promote an initial inflamed endothelial cell phenotype, favoring the atherosclerotic disease. |
format | Online Article Text |
id | pubmed-6176299 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-61762992018-10-23 Computing of Low Shear Stress-Driven Endothelial Gene Network Involved in Early Stages of Atherosclerotic Process Vozzi, Federico Campolo, Jonica Cozzi, Lorena Politano, Gianfranco Di Carlo, Stefano Rial, Michela Domenici, Claudio Parodi, Oberdan Biomed Res Int Research Article BACKGROUND: In the pathogenesis of atherosclerosis, a central role is represented by endothelial inflammation with influx of chemokine-mediated leukocytes in the vascular wall. Aim of this study was to analyze the effect of different shear stresses on endothelial gene expression and compute gene network involved in atherosclerotic disease, in particular to homeostasis, inflammatory cell migration, and apoptotic processes. METHODS: HUVECs were subjected to shear stress of 1, 5, and 10 dyne/cm(2) in a Flow Bioreactor for 24 hours to compare gene expression modulation. Total RNA was analyzed by Affymetrix technology and the expression of two specific genes (CXCR4 and ICAM-1) was validated by RT-PCR. To highlight possible regulations between genes and as further validation, a bioinformatics analysis was performed. RESULTS: At low shear stress (1 dyne/cm(2)) we observed the following: (a) strong upregulation of CXCR4; (b) mild upregulation of Caspase-8; (c) mild downregulation of ICAM-1; (d) marked downexpression of TNFAIP3. Bioinformatics analysis showed the presence of network composed by 59 new interactors (14 transcription factors and 45 microRNAs) appearing strongly related to shear stress. CONCLUSIONS: The significant modulation of these genes at low shear stress and their close relationships through transcription factors and microRNAs suggest that all may promote an initial inflamed endothelial cell phenotype, favoring the atherosclerotic disease. Hindawi 2018-09-25 /pmc/articles/PMC6176299/ /pubmed/30356351 http://dx.doi.org/10.1155/2018/5359830 Text en Copyright © 2018 Federico Vozzi et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Vozzi, Federico Campolo, Jonica Cozzi, Lorena Politano, Gianfranco Di Carlo, Stefano Rial, Michela Domenici, Claudio Parodi, Oberdan Computing of Low Shear Stress-Driven Endothelial Gene Network Involved in Early Stages of Atherosclerotic Process |
title | Computing of Low Shear Stress-Driven Endothelial Gene Network Involved in Early Stages of Atherosclerotic Process |
title_full | Computing of Low Shear Stress-Driven Endothelial Gene Network Involved in Early Stages of Atherosclerotic Process |
title_fullStr | Computing of Low Shear Stress-Driven Endothelial Gene Network Involved in Early Stages of Atherosclerotic Process |
title_full_unstemmed | Computing of Low Shear Stress-Driven Endothelial Gene Network Involved in Early Stages of Atherosclerotic Process |
title_short | Computing of Low Shear Stress-Driven Endothelial Gene Network Involved in Early Stages of Atherosclerotic Process |
title_sort | computing of low shear stress-driven endothelial gene network involved in early stages of atherosclerotic process |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6176299/ https://www.ncbi.nlm.nih.gov/pubmed/30356351 http://dx.doi.org/10.1155/2018/5359830 |
work_keys_str_mv | AT vozzifederico computingoflowshearstressdrivenendothelialgenenetworkinvolvedinearlystagesofatheroscleroticprocess AT campolojonica computingoflowshearstressdrivenendothelialgenenetworkinvolvedinearlystagesofatheroscleroticprocess AT cozzilorena computingoflowshearstressdrivenendothelialgenenetworkinvolvedinearlystagesofatheroscleroticprocess AT politanogianfranco computingoflowshearstressdrivenendothelialgenenetworkinvolvedinearlystagesofatheroscleroticprocess AT dicarlostefano computingoflowshearstressdrivenendothelialgenenetworkinvolvedinearlystagesofatheroscleroticprocess AT rialmichela computingoflowshearstressdrivenendothelialgenenetworkinvolvedinearlystagesofatheroscleroticprocess AT domeniciclaudio computingoflowshearstressdrivenendothelialgenenetworkinvolvedinearlystagesofatheroscleroticprocess AT parodioberdan computingoflowshearstressdrivenendothelialgenenetworkinvolvedinearlystagesofatheroscleroticprocess |