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Plaque characteristics and biomarkers predicting regression and progression of carotid atherosclerosis

The factors that influence the atherosclerotic disease process in high-risk individuals remain poorly understood. Here, we used a combination of vascular imaging, risk factor assessment, and biomarkers to identify factors associated with 3-year change in carotid disease severity in a cohort of high-...

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Autores principales: Khan, Faisel, Gonçalves, Isabel, Shore, Angela C., Natali, Andrea, Palombo, Carlo, Colhoun, Helen M., Östling, Gerd, Casanova, Francesco, Kennbäck, Cecilia, Aizawa, Kunihiko, Persson, Margaretha, Gooding, Kim M., Strain, David, Looker, Helen, Dove, Fiona, Belch, Jill, Pinnola, Silvia, Venturi, Elena, Kozakova, Michaela, Nilsson, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381367/
https://www.ncbi.nlm.nih.gov/pubmed/35858591
http://dx.doi.org/10.1016/j.xcrm.2022.100676
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author Khan, Faisel
Gonçalves, Isabel
Shore, Angela C.
Natali, Andrea
Palombo, Carlo
Colhoun, Helen M.
Östling, Gerd
Casanova, Francesco
Kennbäck, Cecilia
Aizawa, Kunihiko
Persson, Margaretha
Gooding, Kim M.
Strain, David
Looker, Helen
Dove, Fiona
Belch, Jill
Pinnola, Silvia
Venturi, Elena
Kozakova, Michaela
Nilsson, Jan
author_facet Khan, Faisel
Gonçalves, Isabel
Shore, Angela C.
Natali, Andrea
Palombo, Carlo
Colhoun, Helen M.
Östling, Gerd
Casanova, Francesco
Kennbäck, Cecilia
Aizawa, Kunihiko
Persson, Margaretha
Gooding, Kim M.
Strain, David
Looker, Helen
Dove, Fiona
Belch, Jill
Pinnola, Silvia
Venturi, Elena
Kozakova, Michaela
Nilsson, Jan
author_sort Khan, Faisel
collection PubMed
description The factors that influence the atherosclerotic disease process in high-risk individuals remain poorly understood. Here, we used a combination of vascular imaging, risk factor assessment, and biomarkers to identify factors associated with 3-year change in carotid disease severity in a cohort of high-risk subjects treated with preventive therapy (n = 865). The results show that changes in intima-media thickness (IMT) are most pronounced in the carotid bulb. Progression of bulb IMT demonstrates independent associations with baseline bulb IMT, the plaque gray scale median (GSM), and the plasma level of platelet-derived growth factor (PDGF) (standardized β-coefficients and 95% confidence interval [CI] −0.14 [−0.06 to −0.02] p = 0.001, 0.15 [0.02–0.07] p = 0.001, and 0.20 [0.03–0.07] p < 0.001, respectively). Plasma PDGF correlates with the plaque GSM (0.23 [0.15–0.29] p < 0.001). These observations provide insight into the atherosclerotic process in high-risk subjects by showing that progression primarily occurs in fibrotic plaques and is associated with increased levels of PDGF.
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spelling pubmed-93813672022-08-18 Plaque characteristics and biomarkers predicting regression and progression of carotid atherosclerosis Khan, Faisel Gonçalves, Isabel Shore, Angela C. Natali, Andrea Palombo, Carlo Colhoun, Helen M. Östling, Gerd Casanova, Francesco Kennbäck, Cecilia Aizawa, Kunihiko Persson, Margaretha Gooding, Kim M. Strain, David Looker, Helen Dove, Fiona Belch, Jill Pinnola, Silvia Venturi, Elena Kozakova, Michaela Nilsson, Jan Cell Rep Med Article The factors that influence the atherosclerotic disease process in high-risk individuals remain poorly understood. Here, we used a combination of vascular imaging, risk factor assessment, and biomarkers to identify factors associated with 3-year change in carotid disease severity in a cohort of high-risk subjects treated with preventive therapy (n = 865). The results show that changes in intima-media thickness (IMT) are most pronounced in the carotid bulb. Progression of bulb IMT demonstrates independent associations with baseline bulb IMT, the plaque gray scale median (GSM), and the plasma level of platelet-derived growth factor (PDGF) (standardized β-coefficients and 95% confidence interval [CI] −0.14 [−0.06 to −0.02] p = 0.001, 0.15 [0.02–0.07] p = 0.001, and 0.20 [0.03–0.07] p < 0.001, respectively). Plasma PDGF correlates with the plaque GSM (0.23 [0.15–0.29] p < 0.001). These observations provide insight into the atherosclerotic process in high-risk subjects by showing that progression primarily occurs in fibrotic plaques and is associated with increased levels of PDGF. Elsevier 2022-07-19 /pmc/articles/PMC9381367/ /pubmed/35858591 http://dx.doi.org/10.1016/j.xcrm.2022.100676 Text en © 2022. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Khan, Faisel
Gonçalves, Isabel
Shore, Angela C.
Natali, Andrea
Palombo, Carlo
Colhoun, Helen M.
Östling, Gerd
Casanova, Francesco
Kennbäck, Cecilia
Aizawa, Kunihiko
Persson, Margaretha
Gooding, Kim M.
Strain, David
Looker, Helen
Dove, Fiona
Belch, Jill
Pinnola, Silvia
Venturi, Elena
Kozakova, Michaela
Nilsson, Jan
Plaque characteristics and biomarkers predicting regression and progression of carotid atherosclerosis
title Plaque characteristics and biomarkers predicting regression and progression of carotid atherosclerosis
title_full Plaque characteristics and biomarkers predicting regression and progression of carotid atherosclerosis
title_fullStr Plaque characteristics and biomarkers predicting regression and progression of carotid atherosclerosis
title_full_unstemmed Plaque characteristics and biomarkers predicting regression and progression of carotid atherosclerosis
title_short Plaque characteristics and biomarkers predicting regression and progression of carotid atherosclerosis
title_sort plaque characteristics and biomarkers predicting regression and progression of carotid atherosclerosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381367/
https://www.ncbi.nlm.nih.gov/pubmed/35858591
http://dx.doi.org/10.1016/j.xcrm.2022.100676
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