Monocyte subtype counts are associated with 10-year cardiovascular disease risk as determined by the Framingham Risk Score among subjects of the LIFE-Adult study
Coronary heart disease, an inflammatory disease, is the leading cause of death globally. White blood cell counts (including monocytes) are easily available biomarkers of systemic inflammation. Monocyte subtypes can be measured by flow cytometry and classified into classical (CD14high, CD16neg), inte...
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description | Coronary heart disease, an inflammatory disease, is the leading cause of death globally. White blood cell counts (including monocytes) are easily available biomarkers of systemic inflammation. Monocyte subtypes can be measured by flow cytometry and classified into classical (CD14high, CD16neg), intermediate (CD14high, CD16+) and non-classical (CD14+, CD16high) with distinct functional properties. The goal of this study was to investigate the association of monocyte total count and its subtypes with cardiovascular risk groups defined by the Framingham Risk Score, which is used to estimate the 10-year risk of developing myocardial infarction or predict mortality following coronary heart disease. We also aimed to investigate whether monocyte counts are associated with relevant cardiovascular risk factors not included in the Framingham Risk Score, such as carotid atherosclerotic plaque and intima-media thickness. Our data came from the LIFE-Adult study, a population-based cohort study of 10,000 randomly selected participants in Leipzig, Germany. Data was gathered using self-administered questionnaires and physical examinations. Carotid plaques and intima-media thickness were measured using carotid artery sonography. Monocyte subtypes in blood were determined by 10-color flow cytometry for a total of 690 individuals. In a multivariate regression analysis adjusting for the risk factors BMI, intima-media thickness, presence of carotid plaques and diabetes mellitus, monocyte subtypes and total count were found to be significantly associated with the dichotomized Framingham Risk Score (≥10% versus |
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White blood cell counts (including monocytes) are easily available biomarkers of systemic inflammation. Monocyte subtypes can be measured by flow cytometry and classified into classical (CD14high, CD16neg), intermediate (CD14high, CD16+) and non-classical (CD14+, CD16high) with distinct functional properties. The goal of this study was to investigate the association of monocyte total count and its subtypes with cardiovascular risk groups defined by the Framingham Risk Score, which is used to estimate the 10-year risk of developing myocardial infarction or predict mortality following coronary heart disease. We also aimed to investigate whether monocyte counts are associated with relevant cardiovascular risk factors not included in the Framingham Risk Score, such as carotid atherosclerotic plaque and intima-media thickness. Our data came from the LIFE-Adult study, a population-based cohort study of 10,000 randomly selected participants in Leipzig, Germany. Data was gathered using self-administered questionnaires and physical examinations. Carotid plaques and intima-media thickness were measured using carotid artery sonography. Monocyte subtypes in blood were determined by 10-color flow cytometry for a total of 690 individuals. In a multivariate regression analysis adjusting for the risk factors BMI, intima-media thickness, presence of carotid plaques and diabetes mellitus, monocyte subtypes and total count were found to be significantly associated with the dichotomized Framingham Risk Score (≥10% versus <10%): Odds ratios [95% confidence interval] for monocyte subtypes: classical: 11.19 [3.79-34.26]; intermediate: 2.27 [1.11-4.71]; non-classical: 4.18 [1.75-10.20]; total: 14.59 [4.61-47.95]. In absence of prospective data, the FRS was used as a surrogate for CHD. Our results indicate that monocyte counts could provide useful predictive value for cardiovascular disease risk.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0247480</identifier><identifier>PMID: 33647042</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Antigens ; Biology and Life Sciences ; Biomarkers ; Blood pressure ; Cardiovascular disease ; Cardiovascular diseases ; Cell therapy ; Cholesterol ; Civilization ; Coronary artery disease ; Coronary heart disease ; Correlation coefficient ; Correlation coefficients ; Diabetes ; Diabetes mellitus ; Diagnosis ; Epidemiology ; Flow cytometry ; Genetic aspects ; Granulocytes ; Health aspects ; Health informatics ; Health risks ; Heart attack ; Heart diseases ; Immunology ; Informatics ; Life expectancy ; Life span ; Mathematical analysis ; Medical research ; Medicine and Health Sciences ; Monocytes ; Plaques ; Regression analysis ; Research and Analysis Methods ; Research facilities ; Risk analysis ; Risk factors ; Risk groups ; Smoking ; Statistical analysis ; Thickness measurement ; Tobacco ; Tobacco smoking ; Ultrasonic imaging</subject><ispartof>PloS one, 2021-03, Vol.16 (3), p.e0247480-e0247480</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Zeynalova et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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White blood cell counts (including monocytes) are easily available biomarkers of systemic inflammation. Monocyte subtypes can be measured by flow cytometry and classified into classical (CD14high, CD16neg), intermediate (CD14high, CD16+) and non-classical (CD14+, CD16high) with distinct functional properties. The goal of this study was to investigate the association of monocyte total count and its subtypes with cardiovascular risk groups defined by the Framingham Risk Score, which is used to estimate the 10-year risk of developing myocardial infarction or predict mortality following coronary heart disease. We also aimed to investigate whether monocyte counts are associated with relevant cardiovascular risk factors not included in the Framingham Risk Score, such as carotid atherosclerotic plaque and intima-media thickness. Our data came from the LIFE-Adult study, a population-based cohort study of 10,000 randomly selected participants in Leipzig, Germany. Data was gathered using self-administered questionnaires and physical examinations. Carotid plaques and intima-media thickness were measured using carotid artery sonography. Monocyte subtypes in blood were determined by 10-color flow cytometry for a total of 690 individuals. In a multivariate regression analysis adjusting for the risk factors BMI, intima-media thickness, presence of carotid plaques and diabetes mellitus, monocyte subtypes and total count were found to be significantly associated with the dichotomized Framingham Risk Score (≥10% versus <10%): Odds ratios [95% confidence interval] for monocyte subtypes: classical: 11.19 [3.79-34.26]; intermediate: 2.27 [1.11-4.71]; non-classical: 4.18 [1.75-10.20]; total: 14.59 [4.61-47.95]. In absence of prospective data, the FRS was used as a surrogate for CHD. Our results indicate that monocyte counts could provide useful predictive value for cardiovascular disease risk.</description><subject>Antigens</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Blood pressure</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Cell therapy</subject><subject>Cholesterol</subject><subject>Civilization</subject><subject>Coronary artery disease</subject><subject>Coronary heart disease</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diagnosis</subject><subject>Epidemiology</subject><subject>Flow cytometry</subject><subject>Genetic aspects</subject><subject>Granulocytes</subject><subject>Health aspects</subject><subject>Health informatics</subject><subject>Health risks</subject><subject>Heart attack</subject><subject>Heart diseases</subject><subject>Immunology</subject><subject>Informatics</subject><subject>Life expectancy</subject><subject>Life span</subject><subject>Mathematical analysis</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Monocytes</subject><subject>Plaques</subject><subject>Regression analysis</subject><subject>Research and Analysis Methods</subject><subject>Research facilities</subject><subject>Risk analysis</subject><subject>Risk factors</subject><subject>Risk groups</subject><subject>Smoking</subject><subject>Statistical analysis</subject><subject>Thickness measurement</subject><subject>Tobacco</subject><subject>Tobacco smoking</subject><subject>Ultrasonic 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subtype counts are associated with 10-year cardiovascular disease risk as determined by the Framingham Risk Score among subjects of the LIFE-Adult study</title><author>Zeynalova, Samira ; Bucksch, Karolin ; Scholz, Markus ; Yahiaoui-Doktor, Maryam ; Gross, Melanie ; Löffler, Markus ; Melzer, Susanne ; Tárnok, Attila</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-fb2f417cf7f4f782935aff05e60b7b8898af5b77fea8b0883a1fbd9fdd8caf103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Antigens</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Blood pressure</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular diseases</topic><topic>Cell therapy</topic><topic>Cholesterol</topic><topic>Civilization</topic><topic>Coronary artery disease</topic><topic>Coronary heart disease</topic><topic>Correlation coefficient</topic><topic>Correlation 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Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zeynalova, Samira</au><au>Bucksch, Karolin</au><au>Scholz, Markus</au><au>Yahiaoui-Doktor, Maryam</au><au>Gross, Melanie</au><au>Löffler, Markus</au><au>Melzer, Susanne</au><au>Tárnok, Attila</au><au>Ulrich, Henning</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Monocyte subtype counts are associated with 10-year cardiovascular disease risk as determined by the Framingham Risk Score among subjects of the LIFE-Adult study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2021-03-01</date><risdate>2021</risdate><volume>16</volume><issue>3</issue><spage>e0247480</spage><epage>e0247480</epage><pages>e0247480-e0247480</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Coronary heart disease, an inflammatory disease, is the leading cause of death globally. White blood cell counts (including monocytes) are easily available biomarkers of systemic inflammation. Monocyte subtypes can be measured by flow cytometry and classified into classical (CD14high, CD16neg), intermediate (CD14high, CD16+) and non-classical (CD14+, CD16high) with distinct functional properties. The goal of this study was to investigate the association of monocyte total count and its subtypes with cardiovascular risk groups defined by the Framingham Risk Score, which is used to estimate the 10-year risk of developing myocardial infarction or predict mortality following coronary heart disease. We also aimed to investigate whether monocyte counts are associated with relevant cardiovascular risk factors not included in the Framingham Risk Score, such as carotid atherosclerotic plaque and intima-media thickness. Our data came from the LIFE-Adult study, a population-based cohort study of 10,000 randomly selected participants in Leipzig, Germany. Data was gathered using self-administered questionnaires and physical examinations. Carotid plaques and intima-media thickness were measured using carotid artery sonography. Monocyte subtypes in blood were determined by 10-color flow cytometry for a total of 690 individuals. In a multivariate regression analysis adjusting for the risk factors BMI, intima-media thickness, presence of carotid plaques and diabetes mellitus, monocyte subtypes and total count were found to be significantly associated with the dichotomized Framingham Risk Score (≥10% versus <10%): Odds ratios [95% confidence interval] for monocyte subtypes: classical: 11.19 [3.79-34.26]; intermediate: 2.27 [1.11-4.71]; non-classical: 4.18 [1.75-10.20]; total: 14.59 [4.61-47.95]. In absence of prospective data, the FRS was used as a surrogate for CHD. Our results indicate that monocyte counts could provide useful predictive value for cardiovascular disease risk.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33647042</pmid><doi>10.1371/journal.pone.0247480</doi><tpages>e0247480</tpages><orcidid>https://orcid.org/0000-0003-4586-4032</orcidid><orcidid>https://orcid.org/0000-0002-4059-1779</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Antigens Biology and Life Sciences Biomarkers Blood pressure Cardiovascular disease Cardiovascular diseases Cell therapy Cholesterol Civilization Coronary artery disease Coronary heart disease Correlation coefficient Correlation coefficients Diabetes Diabetes mellitus Diagnosis Epidemiology Flow cytometry Genetic aspects Granulocytes Health aspects Health informatics Health risks Heart attack Heart diseases Immunology Informatics Life expectancy Life span Mathematical analysis Medical research Medicine and Health Sciences Monocytes Plaques Regression analysis Research and Analysis Methods Research facilities Risk analysis Risk factors Risk groups Smoking Statistical analysis Thickness measurement Tobacco Tobacco smoking Ultrasonic imaging |
title | Monocyte subtype counts are associated with 10-year cardiovascular disease risk as determined by the Framingham Risk Score among subjects of the LIFE-Adult study |
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