Identification and interpretation of longitudinal gene expression changes in trauma.

<h4>Rationale</h4>The relationship between leukocyte gene expression and recovery of respiratory function after injury may provide information on the etiology of multiple organ dysfunction.<h4>Objectives</h4>To find a list of genes for which expression after injury predicts r...

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Autores principales: Natasa Rajicic, Joseph Cuschieri, Dianne M Finkelstein, Carol L Miller-Graziano, Douglas Hayden, Lyle L Moldawer, Ernest Moore, Grant O'Keefe, Kimberly Pelik, H Shaw Warren, David A Schoenfeld, Inflammation and the Host Response to Injury Large Scale Collaborative Research Program
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Publicado: Public Library of Science (PLoS) 2010
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spelling oai:doaj.org-article:9b851f12d5c34fd287821d7fcdc79fb62021-11-18T07:01:31ZIdentification and interpretation of longitudinal gene expression changes in trauma.1932-620310.1371/journal.pone.0014380https://doaj.org/article/9b851f12d5c34fd287821d7fcdc79fb62010-12-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21187951/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Rationale</h4>The relationship between leukocyte gene expression and recovery of respiratory function after injury may provide information on the etiology of multiple organ dysfunction.<h4>Objectives</h4>To find a list of genes for which expression after injury predicts respiratory recovery, and to identify which networks and pathways characterize these genes.<h4>Methods</h4>Blood was sampled at 12 hours and at 1, 4, 7, 21 and 28 days from 147 patients who had been admitted to the hospital after blunt trauma. Leukocyte gene expression was measured using Affymetrix oligonucleotide arrays. A linear model, fit to each probe-set expression value, was used to impute the gene expression trajectory over the entire follow-up period. The proportional hazards model score test was used to calculate the statistical significance of each probe-set trajectory in predicting respiratory recovery. A list of genes was determined such that the expected proportion of false positive results was less than 10%. These genes were compared to the Gene Ontology for 'response to stimulus' and, using Ingenuity software, were mapped into networks and pathways.<h4>Measurements and main results</h4>The median time to respiratory recovery was 6 days. There were 170 probe-sets representing 135 genes that were found to be related to respiratory recovery. These genes could be mapped to nine networks. Two known pathways that were activated were antigen processing and presentation and JAK-signaling.<h4>Conclusions</h4>The examination of the relationship of gene expression over time with a patient's clinical course can provide information which may be useful in determining the mechanism of recovery or lack of recovery after severe injury.Natasa RajicicJoseph CuschieriDianne M FinkelsteinCarol L Miller-GrazianoDouglas HaydenLyle L MoldawerErnest MooreGrant O'KeefeKimberly PelikH Shaw WarrenDavid A SchoenfeldInflammation and the Host Response to Injury Large Scale Collaborative Research ProgramPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 5, Iss 12, p e14380 (2010)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Natasa Rajicic
Joseph Cuschieri
Dianne M Finkelstein
Carol L Miller-Graziano
Douglas Hayden
Lyle L Moldawer
Ernest Moore
Grant O'Keefe
Kimberly Pelik
H Shaw Warren
David A Schoenfeld
Inflammation and the Host Response to Injury Large Scale Collaborative Research Program
Identification and interpretation of longitudinal gene expression changes in trauma.
description <h4>Rationale</h4>The relationship between leukocyte gene expression and recovery of respiratory function after injury may provide information on the etiology of multiple organ dysfunction.<h4>Objectives</h4>To find a list of genes for which expression after injury predicts respiratory recovery, and to identify which networks and pathways characterize these genes.<h4>Methods</h4>Blood was sampled at 12 hours and at 1, 4, 7, 21 and 28 days from 147 patients who had been admitted to the hospital after blunt trauma. Leukocyte gene expression was measured using Affymetrix oligonucleotide arrays. A linear model, fit to each probe-set expression value, was used to impute the gene expression trajectory over the entire follow-up period. The proportional hazards model score test was used to calculate the statistical significance of each probe-set trajectory in predicting respiratory recovery. A list of genes was determined such that the expected proportion of false positive results was less than 10%. These genes were compared to the Gene Ontology for 'response to stimulus' and, using Ingenuity software, were mapped into networks and pathways.<h4>Measurements and main results</h4>The median time to respiratory recovery was 6 days. There were 170 probe-sets representing 135 genes that were found to be related to respiratory recovery. These genes could be mapped to nine networks. Two known pathways that were activated were antigen processing and presentation and JAK-signaling.<h4>Conclusions</h4>The examination of the relationship of gene expression over time with a patient's clinical course can provide information which may be useful in determining the mechanism of recovery or lack of recovery after severe injury.
format article
author Natasa Rajicic
Joseph Cuschieri
Dianne M Finkelstein
Carol L Miller-Graziano
Douglas Hayden
Lyle L Moldawer
Ernest Moore
Grant O'Keefe
Kimberly Pelik
H Shaw Warren
David A Schoenfeld
Inflammation and the Host Response to Injury Large Scale Collaborative Research Program
author_facet Natasa Rajicic
Joseph Cuschieri
Dianne M Finkelstein
Carol L Miller-Graziano
Douglas Hayden
Lyle L Moldawer
Ernest Moore
Grant O'Keefe
Kimberly Pelik
H Shaw Warren
David A Schoenfeld
Inflammation and the Host Response to Injury Large Scale Collaborative Research Program
author_sort Natasa Rajicic
title Identification and interpretation of longitudinal gene expression changes in trauma.
title_short Identification and interpretation of longitudinal gene expression changes in trauma.
title_full Identification and interpretation of longitudinal gene expression changes in trauma.
title_fullStr Identification and interpretation of longitudinal gene expression changes in trauma.
title_full_unstemmed Identification and interpretation of longitudinal gene expression changes in trauma.
title_sort identification and interpretation of longitudinal gene expression changes in trauma.
publisher Public Library of Science (PLoS)
publishDate 2010
url https://doaj.org/article/9b851f12d5c34fd287821d7fcdc79fb6
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