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SELDI-TOF-MS Serum Profiling Reveals Predictors of Cardiac MRI Changes in Marathon Runners

Purpose. To utilize proteomics to discover proteins associated with significant cardiac magnetic resonance imaging (MRI) changes in marathon runners. Methods. Serum from 25 runners was analyzed by surface enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF-MS). Proteomic...

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Autores principales: Wilson, George D., Geddes, Timothy J., Pruetz, Barbara L., Thibodeau, Bryan J., Murawka, Amy, Colar, James M., McCullough, Peter A., Trivax, Justin E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3439948/
https://www.ncbi.nlm.nih.gov/pubmed/22988506
http://dx.doi.org/10.1155/2012/679301
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author Wilson, George D.
Geddes, Timothy J.
Pruetz, Barbara L.
Thibodeau, Bryan J.
Murawka, Amy
Colar, James M.
McCullough, Peter A.
Trivax, Justin E.
author_facet Wilson, George D.
Geddes, Timothy J.
Pruetz, Barbara L.
Thibodeau, Bryan J.
Murawka, Amy
Colar, James M.
McCullough, Peter A.
Trivax, Justin E.
author_sort Wilson, George D.
collection PubMed
description Purpose. To utilize proteomics to discover proteins associated with significant cardiac magnetic resonance imaging (MRI) changes in marathon runners. Methods. Serum from 25 runners was analyzed by surface enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF-MS). Proteomic profiles were compared in serum samples obtained prior to the race, at the finish line and within 7 hours after race to identify dynamic proteins correlated with cardiac MRI changes. Results. 693 protein/peptide clusters were identified using two ProteinChip surface chemistries and, of these, 116 were significantly different between the three time points. We identified 7 different patterns of protein expression change within the runners and 5 prerace protein peaks, 16 finish-line protein levels, and 15 postrace proteins which were correlated with significant postrace cardiac MRI changes. Conclusions. This study has identified baseline levels of proteins which may be predictive of risk of significant cardiac damage following a marathon race. Preliminary identification of the significant proteins suggested the involvement of cytokines and other proteins involved in stress and inflammatory response.
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spelling pubmed-34399482012-09-17 SELDI-TOF-MS Serum Profiling Reveals Predictors of Cardiac MRI Changes in Marathon Runners Wilson, George D. Geddes, Timothy J. Pruetz, Barbara L. Thibodeau, Bryan J. Murawka, Amy Colar, James M. McCullough, Peter A. Trivax, Justin E. Int J Proteomics Research Article Purpose. To utilize proteomics to discover proteins associated with significant cardiac magnetic resonance imaging (MRI) changes in marathon runners. Methods. Serum from 25 runners was analyzed by surface enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF-MS). Proteomic profiles were compared in serum samples obtained prior to the race, at the finish line and within 7 hours after race to identify dynamic proteins correlated with cardiac MRI changes. Results. 693 protein/peptide clusters were identified using two ProteinChip surface chemistries and, of these, 116 were significantly different between the three time points. We identified 7 different patterns of protein expression change within the runners and 5 prerace protein peaks, 16 finish-line protein levels, and 15 postrace proteins which were correlated with significant postrace cardiac MRI changes. Conclusions. This study has identified baseline levels of proteins which may be predictive of risk of significant cardiac damage following a marathon race. Preliminary identification of the significant proteins suggested the involvement of cytokines and other proteins involved in stress and inflammatory response. Hindawi Publishing Corporation 2012 2012-09-03 /pmc/articles/PMC3439948/ /pubmed/22988506 http://dx.doi.org/10.1155/2012/679301 Text en Copyright © 2012 George D. Wilson et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wilson, George D.
Geddes, Timothy J.
Pruetz, Barbara L.
Thibodeau, Bryan J.
Murawka, Amy
Colar, James M.
McCullough, Peter A.
Trivax, Justin E.
SELDI-TOF-MS Serum Profiling Reveals Predictors of Cardiac MRI Changes in Marathon Runners
title SELDI-TOF-MS Serum Profiling Reveals Predictors of Cardiac MRI Changes in Marathon Runners
title_full SELDI-TOF-MS Serum Profiling Reveals Predictors of Cardiac MRI Changes in Marathon Runners
title_fullStr SELDI-TOF-MS Serum Profiling Reveals Predictors of Cardiac MRI Changes in Marathon Runners
title_full_unstemmed SELDI-TOF-MS Serum Profiling Reveals Predictors of Cardiac MRI Changes in Marathon Runners
title_short SELDI-TOF-MS Serum Profiling Reveals Predictors of Cardiac MRI Changes in Marathon Runners
title_sort seldi-tof-ms serum profiling reveals predictors of cardiac mri changes in marathon runners
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3439948/
https://www.ncbi.nlm.nih.gov/pubmed/22988506
http://dx.doi.org/10.1155/2012/679301
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