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Time Dependent Pathway Activation of Signalling Cascades in Rat Organs after Short-Term Hyperoxia

Administration of oxygen is one of the most common interventions in medicine. Previous research showed that differential regulated proteins could be linked to hyperoxia-associated signaling cascades in different tissues. However, it still remains unclear which signaling pathways are activated by hyp...

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Autores principales: Hinkelbein, Jochen, Braunecker, Stefan, Danz, Matthias, Böhm, Lennert, Hohn, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6073502/
https://www.ncbi.nlm.nih.gov/pubmed/29973540
http://dx.doi.org/10.3390/ijms19071960
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author Hinkelbein, Jochen
Braunecker, Stefan
Danz, Matthias
Böhm, Lennert
Hohn, Andreas
author_facet Hinkelbein, Jochen
Braunecker, Stefan
Danz, Matthias
Böhm, Lennert
Hohn, Andreas
author_sort Hinkelbein, Jochen
collection PubMed
description Administration of oxygen is one of the most common interventions in medicine. Previous research showed that differential regulated proteins could be linked to hyperoxia-associated signaling cascades in different tissues. However, it still remains unclear which signaling pathways are activated by hyperoxia. The present study analyses hyperoxia-induced protein alterations in lung, brain, and kidney tissue using a proteomic and bioinformatic approach. Pooled data of 36 Wistar rats exposed to hyperoxia were used. To identify possible hyperoxia biomarkers, and to evaluate the relationship between protein alterations in hyperoxia affected organs and blood, proteomics data from brain, lung, and kidney were analyzed. Functional network analyses (IPA(®), PathwaysStudio(®), and GENEmania(®)) in combination with hierarchical cluster analysis (Perseus(®)) was used to identify relevant pathways and key proteins. Data of 54 2D-gels with more than 2500 significantly regulated spots per gel were collected. Thirty-eight differentially expressed proteins were identified and consecutively analyzed by bioinformatic methods. Most differences between hyperoxia and normoxia (21 proteins up-regulated, 17 proteins down-regulated) were found immediately after hyperoxia (15 protein spots), followed by day 3 (13 spots), and day 7 (10 spots). A highly significant association with inflammation and the inflammatory response was found. Cell proliferation, oxidative stress, apoptosis and cell death as well as cellular functions were revealed to be affected. Three hours of hyperoxia resulted in significant alterations of protein expression in different organs (brain, lung, kidney) up to seven days after exposure. Further studies are required to interpret the relevance of protein alterations in signaling cascades during/after hyperoxia.
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spelling pubmed-60735022018-08-13 Time Dependent Pathway Activation of Signalling Cascades in Rat Organs after Short-Term Hyperoxia Hinkelbein, Jochen Braunecker, Stefan Danz, Matthias Böhm, Lennert Hohn, Andreas Int J Mol Sci Article Administration of oxygen is one of the most common interventions in medicine. Previous research showed that differential regulated proteins could be linked to hyperoxia-associated signaling cascades in different tissues. However, it still remains unclear which signaling pathways are activated by hyperoxia. The present study analyses hyperoxia-induced protein alterations in lung, brain, and kidney tissue using a proteomic and bioinformatic approach. Pooled data of 36 Wistar rats exposed to hyperoxia were used. To identify possible hyperoxia biomarkers, and to evaluate the relationship between protein alterations in hyperoxia affected organs and blood, proteomics data from brain, lung, and kidney were analyzed. Functional network analyses (IPA(®), PathwaysStudio(®), and GENEmania(®)) in combination with hierarchical cluster analysis (Perseus(®)) was used to identify relevant pathways and key proteins. Data of 54 2D-gels with more than 2500 significantly regulated spots per gel were collected. Thirty-eight differentially expressed proteins were identified and consecutively analyzed by bioinformatic methods. Most differences between hyperoxia and normoxia (21 proteins up-regulated, 17 proteins down-regulated) were found immediately after hyperoxia (15 protein spots), followed by day 3 (13 spots), and day 7 (10 spots). A highly significant association with inflammation and the inflammatory response was found. Cell proliferation, oxidative stress, apoptosis and cell death as well as cellular functions were revealed to be affected. Three hours of hyperoxia resulted in significant alterations of protein expression in different organs (brain, lung, kidney) up to seven days after exposure. Further studies are required to interpret the relevance of protein alterations in signaling cascades during/after hyperoxia. MDPI 2018-07-04 /pmc/articles/PMC6073502/ /pubmed/29973540 http://dx.doi.org/10.3390/ijms19071960 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hinkelbein, Jochen
Braunecker, Stefan
Danz, Matthias
Böhm, Lennert
Hohn, Andreas
Time Dependent Pathway Activation of Signalling Cascades in Rat Organs after Short-Term Hyperoxia
title Time Dependent Pathway Activation of Signalling Cascades in Rat Organs after Short-Term Hyperoxia
title_full Time Dependent Pathway Activation of Signalling Cascades in Rat Organs after Short-Term Hyperoxia
title_fullStr Time Dependent Pathway Activation of Signalling Cascades in Rat Organs after Short-Term Hyperoxia
title_full_unstemmed Time Dependent Pathway Activation of Signalling Cascades in Rat Organs after Short-Term Hyperoxia
title_short Time Dependent Pathway Activation of Signalling Cascades in Rat Organs after Short-Term Hyperoxia
title_sort time dependent pathway activation of signalling cascades in rat organs after short-term hyperoxia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6073502/
https://www.ncbi.nlm.nih.gov/pubmed/29973540
http://dx.doi.org/10.3390/ijms19071960
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