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Glycosylation Profile of Immunoglobulin G Is Cross-Sectionally Associated With Cardiovascular Disease Risk Score and Subclinical Atherosclerosis in Two Independent Cohorts
RATIONALE: One measure of protein glycosylation (GlycA) has been reported to predict higher cardiovascular risk by reflecting inflammatory pathways. OBJECTIVE: The main objective of this study is to assess the role of a comprehensive panel of IgG glycosylation traits on traditional risk factors for...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5970566/ https://www.ncbi.nlm.nih.gov/pubmed/29535164 http://dx.doi.org/10.1161/CIRCRESAHA.117.312174 |
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author | Menni, Cristina Gudelj, Ivan Macdonald-Dunlop, Erin Mangino, Massimo Zierer, Jonas Bešić, Erim Joshi, Peter K. Trbojević-Akmačić, Irena Chowienczyk, Phil J. Spector, Tim D. Wilson, James F. Lauc, Gordan Valdes, Ana M. |
author_facet | Menni, Cristina Gudelj, Ivan Macdonald-Dunlop, Erin Mangino, Massimo Zierer, Jonas Bešić, Erim Joshi, Peter K. Trbojević-Akmačić, Irena Chowienczyk, Phil J. Spector, Tim D. Wilson, James F. Lauc, Gordan Valdes, Ana M. |
author_sort | Menni, Cristina |
collection | PubMed |
description | RATIONALE: One measure of protein glycosylation (GlycA) has been reported to predict higher cardiovascular risk by reflecting inflammatory pathways. OBJECTIVE: The main objective of this study is to assess the role of a comprehensive panel of IgG glycosylation traits on traditional risk factors for cardiovascular disease and on presence of subclinical atherosclerosis in addition to GlycA. METHODS AND RESULTS: We measured 76 IgG glycosylation traits in 2970 women (age range, 40–79 years) from the TwinsUK cohort and correlated it to their estimated 10-year atherosclerotic cardiovascular disease risk score and their carotid and femoral plaque measured by ultrasound imaging. Eight IgG glycan traits are associated with the 10-year atherosclerotic cardiovascular disease risk score after adjusting for multiple tests and for individual risk factors—5 with increased risk and 3 with decreased risk. These glycans replicated in 967 women from ORCADES cohort (Orkney Complex Disease Study), and 6 of them were also associated in 845 men. A linear combination of IgG glycans and GlycA is also associated with presence of carotid (odds ratio, 1.55; 95% confidence interval, 1.25–1.93; P=7.5×10(-5)) and femoral (odds ratio, 1.32; 95% confidence interval, 1.06–1.64; P=0.01) plaque in a subset of women with atherosclerosis data after adjustment for traditional risk factors. One specific glycosylation trait, GP18-the percentage of FA2BG2S1 glycan in total IgG glycans, was negatively correlated with very-low-density lipoprotein and triglyceride levels in serum and with presence of carotid plaque (odds ratio, 0.60; 95% confidence interval, 0.50–0.71; P=5×10(-4)). CONCLUSIONS: We find molecular pathways linking IgG to arterial lesion formation. Glycosylation traits are independently associated with subclinical atherosclerosis. One specific trait related to the sialylated N-glycan is negatively correlated with cardiovascular disease risk, very-low-density lipoprotein and triglyceride serum levels, and presence of carotid plaque. |
format | Online Article Text |
id | pubmed-5970566 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-59705662018-06-15 Glycosylation Profile of Immunoglobulin G Is Cross-Sectionally Associated With Cardiovascular Disease Risk Score and Subclinical Atherosclerosis in Two Independent Cohorts Menni, Cristina Gudelj, Ivan Macdonald-Dunlop, Erin Mangino, Massimo Zierer, Jonas Bešić, Erim Joshi, Peter K. Trbojević-Akmačić, Irena Chowienczyk, Phil J. Spector, Tim D. Wilson, James F. Lauc, Gordan Valdes, Ana M. Circ Res Clinical Track RATIONALE: One measure of protein glycosylation (GlycA) has been reported to predict higher cardiovascular risk by reflecting inflammatory pathways. OBJECTIVE: The main objective of this study is to assess the role of a comprehensive panel of IgG glycosylation traits on traditional risk factors for cardiovascular disease and on presence of subclinical atherosclerosis in addition to GlycA. METHODS AND RESULTS: We measured 76 IgG glycosylation traits in 2970 women (age range, 40–79 years) from the TwinsUK cohort and correlated it to their estimated 10-year atherosclerotic cardiovascular disease risk score and their carotid and femoral plaque measured by ultrasound imaging. Eight IgG glycan traits are associated with the 10-year atherosclerotic cardiovascular disease risk score after adjusting for multiple tests and for individual risk factors—5 with increased risk and 3 with decreased risk. These glycans replicated in 967 women from ORCADES cohort (Orkney Complex Disease Study), and 6 of them were also associated in 845 men. A linear combination of IgG glycans and GlycA is also associated with presence of carotid (odds ratio, 1.55; 95% confidence interval, 1.25–1.93; P=7.5×10(-5)) and femoral (odds ratio, 1.32; 95% confidence interval, 1.06–1.64; P=0.01) plaque in a subset of women with atherosclerosis data after adjustment for traditional risk factors. One specific glycosylation trait, GP18-the percentage of FA2BG2S1 glycan in total IgG glycans, was negatively correlated with very-low-density lipoprotein and triglyceride levels in serum and with presence of carotid plaque (odds ratio, 0.60; 95% confidence interval, 0.50–0.71; P=5×10(-4)). CONCLUSIONS: We find molecular pathways linking IgG to arterial lesion formation. Glycosylation traits are independently associated with subclinical atherosclerosis. One specific trait related to the sialylated N-glycan is negatively correlated with cardiovascular disease risk, very-low-density lipoprotein and triglyceride serum levels, and presence of carotid plaque. Lippincott Williams & Wilkins 2018-05-25 2018-03-13 /pmc/articles/PMC5970566/ /pubmed/29535164 http://dx.doi.org/10.1161/CIRCRESAHA.117.312174 Text en © 2018 The Authors. Circulation Research is published on behalf of the American Heart Association, Inc., by Wolters Kluwer Health, Inc. This is an open access article under the terms of the Creative Commons Attribution (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited. |
spellingShingle | Clinical Track Menni, Cristina Gudelj, Ivan Macdonald-Dunlop, Erin Mangino, Massimo Zierer, Jonas Bešić, Erim Joshi, Peter K. Trbojević-Akmačić, Irena Chowienczyk, Phil J. Spector, Tim D. Wilson, James F. Lauc, Gordan Valdes, Ana M. Glycosylation Profile of Immunoglobulin G Is Cross-Sectionally Associated With Cardiovascular Disease Risk Score and Subclinical Atherosclerosis in Two Independent Cohorts |
title | Glycosylation Profile of Immunoglobulin G Is Cross-Sectionally Associated With Cardiovascular Disease Risk Score and Subclinical Atherosclerosis in Two Independent Cohorts |
title_full | Glycosylation Profile of Immunoglobulin G Is Cross-Sectionally Associated With Cardiovascular Disease Risk Score and Subclinical Atherosclerosis in Two Independent Cohorts |
title_fullStr | Glycosylation Profile of Immunoglobulin G Is Cross-Sectionally Associated With Cardiovascular Disease Risk Score and Subclinical Atherosclerosis in Two Independent Cohorts |
title_full_unstemmed | Glycosylation Profile of Immunoglobulin G Is Cross-Sectionally Associated With Cardiovascular Disease Risk Score and Subclinical Atherosclerosis in Two Independent Cohorts |
title_short | Glycosylation Profile of Immunoglobulin G Is Cross-Sectionally Associated With Cardiovascular Disease Risk Score and Subclinical Atherosclerosis in Two Independent Cohorts |
title_sort | glycosylation profile of immunoglobulin g is cross-sectionally associated with cardiovascular disease risk score and subclinical atherosclerosis in two independent cohorts |
topic | Clinical Track |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5970566/ https://www.ncbi.nlm.nih.gov/pubmed/29535164 http://dx.doi.org/10.1161/CIRCRESAHA.117.312174 |
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