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The association between cigarette smoking and inflammation: The Genetic Epidemiology Network of Arteriopathy (GENOA) study
To inform the study and regulation of emerging tobacco products, we sought to identify sensitive biomarkers of tobacco-induced subclinical cardiovascular damage by testing the cross-sectional associations of smoking with 17 biomarkers of inflammation in 2,702 GENOA study participants belonging to si...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5602636/ https://www.ncbi.nlm.nih.gov/pubmed/28922371 http://dx.doi.org/10.1371/journal.pone.0184914 |
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author | Tibuakuu, Martin Kamimura, Daisuke Kianoush, Sina DeFilippis, Andrew P. Al Rifai, Mahmoud Reynolds, Lindsay M. White, Wendy B. Butler, Kenneth R. Mosley, Thomas H. Turner, Stephen T. Kullo, Iftikhar J. Hall, Michael E. Blaha, Michael J. |
author_facet | Tibuakuu, Martin Kamimura, Daisuke Kianoush, Sina DeFilippis, Andrew P. Al Rifai, Mahmoud Reynolds, Lindsay M. White, Wendy B. Butler, Kenneth R. Mosley, Thomas H. Turner, Stephen T. Kullo, Iftikhar J. Hall, Michael E. Blaha, Michael J. |
author_sort | Tibuakuu, Martin |
collection | PubMed |
description | To inform the study and regulation of emerging tobacco products, we sought to identify sensitive biomarkers of tobacco-induced subclinical cardiovascular damage by testing the cross-sectional associations of smoking with 17 biomarkers of inflammation in 2,702 GENOA study participants belonging to sibships ascertained on the basis of hypertension. Cigarette smoking was assessed by status, intensity (number of cigarettes per day), burden (pack-years of smoking), and time since quitting. We modeled biomarkers as geometric mean (GM) ratios using generalized estimating equations (GEE). The mean age of participants was 61 ±10 years; 64.5% were women and 54.4% African American. The prevalence of smoking was 12.2%. After adjusting for potential confounders, 6 of 17 biomarkers were significantly higher among current smokers at a Bonferroni adjusted p-value threshold (p<0.003). High sensitivity C-reactive protein was the most elevated biomarker among current smokers when compared to never smokers [GM ratio = 1.39 (95% CI: 1.23, 1.57); p <0.001]. Among former smokers, each pack-year of cigarettes smoked was associated with a 0.4% higher serum level of hsCRP [GM ratio = 1.004 (95% CI: 1.001, 1.006); p = 0.002] and each 5-year lapsed since quitting was associated with a 4% lower serum level of hsCRP [GM ratio = 0.96 (95% CI: 0.93, 0.99); p = 0.006]. However, we found no significant association of smoking intensity or burden with biomarkers of inflammation among current smokers. HsCRP appears to be the most sensitive biomarker of inflammation associated with cigarette smoking of those investigated, and could be a useful biomarker of smoking-related injury for the study and regulation of emerging tobacco products. |
format | Online Article Text |
id | pubmed-5602636 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-56026362017-09-22 The association between cigarette smoking and inflammation: The Genetic Epidemiology Network of Arteriopathy (GENOA) study Tibuakuu, Martin Kamimura, Daisuke Kianoush, Sina DeFilippis, Andrew P. Al Rifai, Mahmoud Reynolds, Lindsay M. White, Wendy B. Butler, Kenneth R. Mosley, Thomas H. Turner, Stephen T. Kullo, Iftikhar J. Hall, Michael E. Blaha, Michael J. PLoS One Research Article To inform the study and regulation of emerging tobacco products, we sought to identify sensitive biomarkers of tobacco-induced subclinical cardiovascular damage by testing the cross-sectional associations of smoking with 17 biomarkers of inflammation in 2,702 GENOA study participants belonging to sibships ascertained on the basis of hypertension. Cigarette smoking was assessed by status, intensity (number of cigarettes per day), burden (pack-years of smoking), and time since quitting. We modeled biomarkers as geometric mean (GM) ratios using generalized estimating equations (GEE). The mean age of participants was 61 ±10 years; 64.5% were women and 54.4% African American. The prevalence of smoking was 12.2%. After adjusting for potential confounders, 6 of 17 biomarkers were significantly higher among current smokers at a Bonferroni adjusted p-value threshold (p<0.003). High sensitivity C-reactive protein was the most elevated biomarker among current smokers when compared to never smokers [GM ratio = 1.39 (95% CI: 1.23, 1.57); p <0.001]. Among former smokers, each pack-year of cigarettes smoked was associated with a 0.4% higher serum level of hsCRP [GM ratio = 1.004 (95% CI: 1.001, 1.006); p = 0.002] and each 5-year lapsed since quitting was associated with a 4% lower serum level of hsCRP [GM ratio = 0.96 (95% CI: 0.93, 0.99); p = 0.006]. However, we found no significant association of smoking intensity or burden with biomarkers of inflammation among current smokers. HsCRP appears to be the most sensitive biomarker of inflammation associated with cigarette smoking of those investigated, and could be a useful biomarker of smoking-related injury for the study and regulation of emerging tobacco products. Public Library of Science 2017-09-18 /pmc/articles/PMC5602636/ /pubmed/28922371 http://dx.doi.org/10.1371/journal.pone.0184914 Text en © 2017 Tibuakuu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Tibuakuu, Martin Kamimura, Daisuke Kianoush, Sina DeFilippis, Andrew P. Al Rifai, Mahmoud Reynolds, Lindsay M. White, Wendy B. Butler, Kenneth R. Mosley, Thomas H. Turner, Stephen T. Kullo, Iftikhar J. Hall, Michael E. Blaha, Michael J. The association between cigarette smoking and inflammation: The Genetic Epidemiology Network of Arteriopathy (GENOA) study |
title | The association between cigarette smoking and inflammation: The Genetic Epidemiology Network of Arteriopathy (GENOA) study |
title_full | The association between cigarette smoking and inflammation: The Genetic Epidemiology Network of Arteriopathy (GENOA) study |
title_fullStr | The association between cigarette smoking and inflammation: The Genetic Epidemiology Network of Arteriopathy (GENOA) study |
title_full_unstemmed | The association between cigarette smoking and inflammation: The Genetic Epidemiology Network of Arteriopathy (GENOA) study |
title_short | The association between cigarette smoking and inflammation: The Genetic Epidemiology Network of Arteriopathy (GENOA) study |
title_sort | association between cigarette smoking and inflammation: the genetic epidemiology network of arteriopathy (genoa) study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5602636/ https://www.ncbi.nlm.nih.gov/pubmed/28922371 http://dx.doi.org/10.1371/journal.pone.0184914 |
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