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Sputum Biomarkers and the Prediction of Clinical Outcomes in Patients with Cystic Fibrosis

Lung function, acute pulmonary exacerbations (APE), and weight are the best clinical predictors of survival in cystic fibrosis (CF); however, underlying mechanisms are incompletely understood. Biomarkers of current disease state predictive of future outcomes might identify mechanisms and provide tre...

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Autores principales: Liou, Theodore G., Adler, Frederick R., Keogh, Ruth H., Li, Yanping, Jensen, Judy L., Walsh, William, Packer, Kristyn, Clark, Teresa, Carveth, Holly, Chen, Jun, Rogers, Shaunessy L., Lane, Christen, Moore, James, Sturrock, Anne, Paine, Robert, Cox, David R., Hoidal, John R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3416785/
https://www.ncbi.nlm.nih.gov/pubmed/22916155
http://dx.doi.org/10.1371/journal.pone.0042748
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author Liou, Theodore G.
Adler, Frederick R.
Keogh, Ruth H.
Li, Yanping
Jensen, Judy L.
Walsh, William
Packer, Kristyn
Clark, Teresa
Carveth, Holly
Chen, Jun
Rogers, Shaunessy L.
Lane, Christen
Moore, James
Sturrock, Anne
Paine, Robert
Cox, David R.
Hoidal, John R.
author_facet Liou, Theodore G.
Adler, Frederick R.
Keogh, Ruth H.
Li, Yanping
Jensen, Judy L.
Walsh, William
Packer, Kristyn
Clark, Teresa
Carveth, Holly
Chen, Jun
Rogers, Shaunessy L.
Lane, Christen
Moore, James
Sturrock, Anne
Paine, Robert
Cox, David R.
Hoidal, John R.
author_sort Liou, Theodore G.
collection PubMed
description Lung function, acute pulmonary exacerbations (APE), and weight are the best clinical predictors of survival in cystic fibrosis (CF); however, underlying mechanisms are incompletely understood. Biomarkers of current disease state predictive of future outcomes might identify mechanisms and provide treatment targets, trial endpoints and objective clinical monitoring tools. Such CF-specific biomarkers have previously been elusive. Using observational and validation cohorts comprising 97 non-transplanted consecutively-recruited adult CF patients at the Intermountain Adult CF Center, University of Utah, we identified biomarkers informative of current disease and predictive of future clinical outcomes. Patients represented the majority of sputum producers. They were recruited March 2004-April 2007 and followed through May 2011. Sputum biomarker concentrations were measured and clinical outcomes meticulously recorded for a median 5.9 (interquartile range 5.0 to 6.6) years to study associations between biomarkers and future APE and time-to-lung transplantation or death. After multivariate modeling, only high mobility group box-1 protein (HMGB-1, mean = 5.84 [log ng/ml], standard deviation [SD] = 1.75) predicted time-to-first APE (hazard ratio [HR] per log-unit HMGB-1 = 1.56, p-value = 0.005), number of future APE within 5 years (0.338 APE per log-unit HMGB-1, p<0.001 by quasi-Poisson regression) and time-to-lung transplantation or death (HR = 1.59, p = 0.02). At APE onset, sputum granulocyte macrophage colony stimulating factor (GM-CSF, mean 4.8 [log pg/ml], SD = 1.26) was significantly associated with APE-associated declines in lung function (−10.8 FEV(1)% points per log-unit GM-CSF, p<0.001 by linear regression). Evaluation of validation cohorts produced similar results that passed tests of mutual consistency. In CF sputum, high HMGB-1 predicts incidence and recurrence of APE and survival, plausibly because it mediates long-term airway inflammation. High APE-associated GM-CSF identifies patients with large acute declines in FEV(1)%, possibly providing a laboratory-based objective decision-support tool for determination of an APE diagnosis. These biomarkers are potential CF reporting tools and treatment targets for slowing long-term progression and reducing short-term severity.
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spelling pubmed-34167852012-08-22 Sputum Biomarkers and the Prediction of Clinical Outcomes in Patients with Cystic Fibrosis Liou, Theodore G. Adler, Frederick R. Keogh, Ruth H. Li, Yanping Jensen, Judy L. Walsh, William Packer, Kristyn Clark, Teresa Carveth, Holly Chen, Jun Rogers, Shaunessy L. Lane, Christen Moore, James Sturrock, Anne Paine, Robert Cox, David R. Hoidal, John R. PLoS One Research Article Lung function, acute pulmonary exacerbations (APE), and weight are the best clinical predictors of survival in cystic fibrosis (CF); however, underlying mechanisms are incompletely understood. Biomarkers of current disease state predictive of future outcomes might identify mechanisms and provide treatment targets, trial endpoints and objective clinical monitoring tools. Such CF-specific biomarkers have previously been elusive. Using observational and validation cohorts comprising 97 non-transplanted consecutively-recruited adult CF patients at the Intermountain Adult CF Center, University of Utah, we identified biomarkers informative of current disease and predictive of future clinical outcomes. Patients represented the majority of sputum producers. They were recruited March 2004-April 2007 and followed through May 2011. Sputum biomarker concentrations were measured and clinical outcomes meticulously recorded for a median 5.9 (interquartile range 5.0 to 6.6) years to study associations between biomarkers and future APE and time-to-lung transplantation or death. After multivariate modeling, only high mobility group box-1 protein (HMGB-1, mean = 5.84 [log ng/ml], standard deviation [SD] = 1.75) predicted time-to-first APE (hazard ratio [HR] per log-unit HMGB-1 = 1.56, p-value = 0.005), number of future APE within 5 years (0.338 APE per log-unit HMGB-1, p<0.001 by quasi-Poisson regression) and time-to-lung transplantation or death (HR = 1.59, p = 0.02). At APE onset, sputum granulocyte macrophage colony stimulating factor (GM-CSF, mean 4.8 [log pg/ml], SD = 1.26) was significantly associated with APE-associated declines in lung function (−10.8 FEV(1)% points per log-unit GM-CSF, p<0.001 by linear regression). Evaluation of validation cohorts produced similar results that passed tests of mutual consistency. In CF sputum, high HMGB-1 predicts incidence and recurrence of APE and survival, plausibly because it mediates long-term airway inflammation. High APE-associated GM-CSF identifies patients with large acute declines in FEV(1)%, possibly providing a laboratory-based objective decision-support tool for determination of an APE diagnosis. These biomarkers are potential CF reporting tools and treatment targets for slowing long-term progression and reducing short-term severity. Public Library of Science 2012-08-10 /pmc/articles/PMC3416785/ /pubmed/22916155 http://dx.doi.org/10.1371/journal.pone.0042748 Text en © 2012 Liou 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Liou, Theodore G.
Adler, Frederick R.
Keogh, Ruth H.
Li, Yanping
Jensen, Judy L.
Walsh, William
Packer, Kristyn
Clark, Teresa
Carveth, Holly
Chen, Jun
Rogers, Shaunessy L.
Lane, Christen
Moore, James
Sturrock, Anne
Paine, Robert
Cox, David R.
Hoidal, John R.
Sputum Biomarkers and the Prediction of Clinical Outcomes in Patients with Cystic Fibrosis
title Sputum Biomarkers and the Prediction of Clinical Outcomes in Patients with Cystic Fibrosis
title_full Sputum Biomarkers and the Prediction of Clinical Outcomes in Patients with Cystic Fibrosis
title_fullStr Sputum Biomarkers and the Prediction of Clinical Outcomes in Patients with Cystic Fibrosis
title_full_unstemmed Sputum Biomarkers and the Prediction of Clinical Outcomes in Patients with Cystic Fibrosis
title_short Sputum Biomarkers and the Prediction of Clinical Outcomes in Patients with Cystic Fibrosis
title_sort sputum biomarkers and the prediction of clinical outcomes in patients with cystic fibrosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3416785/
https://www.ncbi.nlm.nih.gov/pubmed/22916155
http://dx.doi.org/10.1371/journal.pone.0042748
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