CD14++CD16+ Monocytes Independently Predict Cardiovascular Events: A Cohort Study of 951 Patients Referred for Elective Coronary Angiography
The aim of this study was to analyze the yet ill-defined relationship of distinct human monocyte subsets with cardiovascular outcomes in a broad patient population at cardiovascular risk. Monocytes, the most abundant immune cell type found in atherosclerotic plaques, are crucial promoters of atherog...
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Published in | Journal of the American College of Cardiology Vol. 60; no. 16; pp. 1512 - 1520 |
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Main Authors | , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York, NY
Elsevier
16.10.2012
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Subjects | |
Online Access | Get full text |
ISSN | 0735-1097 1558-3597 1558-3597 |
DOI | 10.1016/j.jacc.2012.07.019 |
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Abstract | The aim of this study was to analyze the yet ill-defined relationship of distinct human monocyte subsets with cardiovascular outcomes in a broad patient population at cardiovascular risk.
Monocytes, the most abundant immune cell type found in atherosclerotic plaques, are crucial promoters of atherogenesis. Three distinct human monocyte subsets exist: classical CD14++CD16-, intermediate CD14++CD16+, and nonclassical CD14+CD16++ monocytes. Immunomodulation of distinct monocyte subsets has recently been discussed as a new therapeutic avenue in atherosclerosis.
Cardiovascular events in 951 subjects referred for elective coronary angiography were prospectively analyzed. Monocyte subset analysis was performed using flow cytometry, blinded to patients' clinical characteristics, and patients were categorized according to quartiles of total monocyte and monocyte subset counts. The primary endpoint was defined a priori as the first occurrence of cardiovascular death, acute myocardial infarction, or nonhemorrhagic stroke. Endpoint adjudication was done blinded to monocyte subset distribution.
During a mean follow-up period of 2.6 ± 1.0 years, 93 patients experienced the primary endpoint. In univariate Kaplan-Meier analysis, counts of total (p = 0.010), classical CD14++CD16- (p = 0.024), and intermediate CD14++CD16+ (p < 0.001) monocytes predicted the primary endpoint, whereas nonclassical monocytes did not (p = 0.158). After full adjustment for confounders, CD14++CD16+ monocytes remained the only monocyte subset independently related to cardiovascular events (fourth vs. first quartile: hazard ratio: 3.019; 95% confidence interval: 1.315 to 6.928; p = 0.009).
CD14++CD16+ monocytes independently predicted cardiovascular events in subjects referred for elective coronary angiography. Future studies will be needed to elucidate whether CD14++CD16+ monocytes may become a target cell population for new therapeutic strategies in atherosclerosis. |
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AbstractList | The aim of this study was to analyze the yet ill-defined relationship of distinct human monocyte subsets with cardiovascular outcomes in a broad patient population at cardiovascular risk.OBJECTIVESThe aim of this study was to analyze the yet ill-defined relationship of distinct human monocyte subsets with cardiovascular outcomes in a broad patient population at cardiovascular risk.Monocytes, the most abundant immune cell type found in atherosclerotic plaques, are crucial promoters of atherogenesis. Three distinct human monocyte subsets exist: classical CD14++CD16-, intermediate CD14++CD16+, and nonclassical CD14+CD16++ monocytes. Immunomodulation of distinct monocyte subsets has recently been discussed as a new therapeutic avenue in atherosclerosis.BACKGROUNDMonocytes, the most abundant immune cell type found in atherosclerotic plaques, are crucial promoters of atherogenesis. Three distinct human monocyte subsets exist: classical CD14++CD16-, intermediate CD14++CD16+, and nonclassical CD14+CD16++ monocytes. Immunomodulation of distinct monocyte subsets has recently been discussed as a new therapeutic avenue in atherosclerosis.Cardiovascular events in 951 subjects referred for elective coronary angiography were prospectively analyzed. Monocyte subset analysis was performed using flow cytometry, blinded to patients' clinical characteristics, and patients were categorized according to quartiles of total monocyte and monocyte subset counts. The primary endpoint was defined a priori as the first occurrence of cardiovascular death, acute myocardial infarction, or nonhemorrhagic stroke. Endpoint adjudication was done blinded to monocyte subset distribution.METHODSCardiovascular events in 951 subjects referred for elective coronary angiography were prospectively analyzed. Monocyte subset analysis was performed using flow cytometry, blinded to patients' clinical characteristics, and patients were categorized according to quartiles of total monocyte and monocyte subset counts. The primary endpoint was defined a priori as the first occurrence of cardiovascular death, acute myocardial infarction, or nonhemorrhagic stroke. Endpoint adjudication was done blinded to monocyte subset distribution.During a mean follow-up period of 2.6 ± 1.0 years, 93 patients experienced the primary endpoint. In univariate Kaplan-Meier analysis, counts of total (p = 0.010), classical CD14++CD16- (p = 0.024), and intermediate CD14++CD16+ (p < 0.001) monocytes predicted the primary endpoint, whereas nonclassical monocytes did not (p = 0.158). After full adjustment for confounders, CD14++CD16+ monocytes remained the only monocyte subset independently related to cardiovascular events (fourth vs. first quartile: hazard ratio: 3.019; 95% confidence interval: 1.315 to 6.928; p = 0.009).RESULTSDuring a mean follow-up period of 2.6 ± 1.0 years, 93 patients experienced the primary endpoint. In univariate Kaplan-Meier analysis, counts of total (p = 0.010), classical CD14++CD16- (p = 0.024), and intermediate CD14++CD16+ (p < 0.001) monocytes predicted the primary endpoint, whereas nonclassical monocytes did not (p = 0.158). After full adjustment for confounders, CD14++CD16+ monocytes remained the only monocyte subset independently related to cardiovascular events (fourth vs. first quartile: hazard ratio: 3.019; 95% confidence interval: 1.315 to 6.928; p = 0.009).CD14++CD16+ monocytes independently predicted cardiovascular events in subjects referred for elective coronary angiography. Future studies will be needed to elucidate whether CD14++CD16+ monocytes may become a target cell population for new therapeutic strategies in atherosclerosis.CONCLUSIONSCD14++CD16+ monocytes independently predicted cardiovascular events in subjects referred for elective coronary angiography. Future studies will be needed to elucidate whether CD14++CD16+ monocytes may become a target cell population for new therapeutic strategies in atherosclerosis. The aim of this study was to analyze the yet ill-defined relationship of distinct human monocyte subsets with cardiovascular outcomes in a broad patient population at cardiovascular risk. Monocytes, the most abundant immune cell type found in atherosclerotic plaques, are crucial promoters of atherogenesis. Three distinct human monocyte subsets exist: classical CD14++CD16-, intermediate CD14++CD16+, and nonclassical CD14+CD16++ monocytes. Immunomodulation of distinct monocyte subsets has recently been discussed as a new therapeutic avenue in atherosclerosis. Cardiovascular events in 951 subjects referred for elective coronary angiography were prospectively analyzed. Monocyte subset analysis was performed using flow cytometry, blinded to patients' clinical characteristics, and patients were categorized according to quartiles of total monocyte and monocyte subset counts. The primary endpoint was defined a priori as the first occurrence of cardiovascular death, acute myocardial infarction, or nonhemorrhagic stroke. Endpoint adjudication was done blinded to monocyte subset distribution. During a mean follow-up period of 2.6 ± 1.0 years, 93 patients experienced the primary endpoint. In univariate Kaplan-Meier analysis, counts of total (p = 0.010), classical CD14++CD16- (p = 0.024), and intermediate CD14++CD16+ (p < 0.001) monocytes predicted the primary endpoint, whereas nonclassical monocytes did not (p = 0.158). After full adjustment for confounders, CD14++CD16+ monocytes remained the only monocyte subset independently related to cardiovascular events (fourth vs. first quartile: hazard ratio: 3.019; 95% confidence interval: 1.315 to 6.928; p = 0.009). CD14++CD16+ monocytes independently predicted cardiovascular events in subjects referred for elective coronary angiography. Future studies will be needed to elucidate whether CD14++CD16+ monocytes may become a target cell population for new therapeutic strategies in atherosclerosis. |
Author | CREMERS, Bodo SCHELLER, Bruno ULRICH, Christof REBLING, Niko M BINDER, Nadine JEKEN, Jana FLISER, Danilo SEILER, Sarah HEINE, Gunnar H ROGACEV, Kyrill S GROSSE-DUNKER, Gunnar ZAWADA, Adam M BOHM, Michael HORNOF, Florian EGE, Philipp HEISEL, Isabel |
Author_xml | – sequence: 1 givenname: Kyrill S surname: ROGACEV fullname: ROGACEV, Kyrill S organization: Department of Internal Medicine IV, Saarland University Medical Center, Homburg/Saar, Germany – sequence: 2 givenname: Bodo surname: CREMERS fullname: CREMERS, Bodo organization: Department of Internal Medicine III, Saarland University Medical Center, Homburg/Saar, Germany – sequence: 3 givenname: Niko M surname: REBLING fullname: REBLING, Niko M organization: Department of Internal Medicine IV, Saarland University Medical Center, Homburg/Saar, Germany – sequence: 4 givenname: Christof surname: ULRICH fullname: ULRICH, Christof organization: Department of Internal Medicine IV, Saarland University Medical Center, Homburg/Saar, Germany – sequence: 5 givenname: Bruno surname: SCHELLER fullname: SCHELLER, Bruno organization: Department of Internal Medicine III, Saarland University Medical Center, Homburg/Saar, Germany – sequence: 6 givenname: Michael surname: BOHM fullname: BOHM, Michael organization: Department of Internal Medicine III, Saarland University Medical Center, Homburg/Saar, Germany – sequence: 7 givenname: Danilo surname: FLISER fullname: FLISER, Danilo organization: Department of Internal Medicine IV, Saarland University Medical Center, Homburg/Saar, Germany – sequence: 8 givenname: Gunnar H surname: HEINE fullname: HEINE, Gunnar H organization: Department of Internal Medicine IV, Saarland University Medical Center, Homburg/Saar, Germany – sequence: 9 givenname: Adam M surname: ZAWADA fullname: ZAWADA, Adam M organization: Department of Internal Medicine IV, Saarland University Medical Center, Homburg/Saar, Germany – sequence: 10 givenname: Sarah surname: SEILER fullname: SEILER, Sarah organization: Department of Internal Medicine IV, Saarland University Medical Center, Homburg/Saar, Germany – sequence: 11 givenname: Nadine surname: BINDER fullname: BINDER, Nadine organization: Department of Medical Biometry and Statistics, Institute of Medical Biometry and Medical Informatics, University Medical Center, Freiburg, Germany – sequence: 12 givenname: Philipp surname: EGE fullname: EGE, Philipp organization: Department of Internal Medicine IV, Saarland University Medical Center, Homburg/Saar, Germany – sequence: 13 givenname: Gunnar surname: GROSSE-DUNKER fullname: GROSSE-DUNKER, Gunnar organization: Department of Internal Medicine IV, Saarland University Medical Center, Homburg/Saar, Germany – sequence: 14 givenname: Isabel surname: HEISEL fullname: HEISEL, Isabel organization: Department of Internal Medicine IV, Saarland University Medical Center, Homburg/Saar, Germany – sequence: 15 givenname: Florian surname: HORNOF fullname: HORNOF, Florian organization: Department of Internal Medicine IV, Saarland University Medical Center, Homburg/Saar, Germany – sequence: 16 givenname: Jana surname: JEKEN fullname: JEKEN, Jana organization: Department of Internal Medicine IV, Saarland University Medical Center, Homburg/Saar, Germany |
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Keywords | Human Radiodiagnosis Monocyte Cohort study Patient Circulatory system Coronary arteriography Cardiology Predictive factor Elective |
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SubjectTerms | Aged Biological and medical sciences Cardiology. Vascular system Cardiovascular Diseases - immunology Cardiovascular system Cohort Studies Coronary Angiography Female GPI-Linked Proteins - metabolism Humans Investigative techniques, diagnostic techniques (general aspects) Leukocyte Count Lipopolysaccharide Receptors - metabolism Male Medical sciences Middle Aged Monocytes - metabolism Predictive Value of Tests Radiodiagnosis. Nmr imagery. Nmr spectrometry Receptors, IgG - metabolism Regression Analysis Risk Factors |
Title | CD14++CD16+ Monocytes Independently Predict Cardiovascular Events: A Cohort Study of 951 Patients Referred for Elective Coronary Angiography |
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