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Classifying oxidative stress by F(2)-isoprostane levels across human diseases: A meta-analysis

The notion that oxidative stress plays a role in virtually every human disease and environmental exposure has become ingrained in everyday knowledge. However, mounting evidence regarding the lack of specificity of biomarkers traditionally used as indicators of oxidative stress in human disease and e...

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Autores principales: van 't Erve, Thomas J., Kadiiska, Maria B., London, Stephanie J., Mason, Ronald P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384299/
https://www.ncbi.nlm.nih.gov/pubmed/28391180
http://dx.doi.org/10.1016/j.redox.2017.03.024
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author van 't Erve, Thomas J.
Kadiiska, Maria B.
London, Stephanie J.
Mason, Ronald P.
author_facet van 't Erve, Thomas J.
Kadiiska, Maria B.
London, Stephanie J.
Mason, Ronald P.
author_sort van 't Erve, Thomas J.
collection PubMed
description The notion that oxidative stress plays a role in virtually every human disease and environmental exposure has become ingrained in everyday knowledge. However, mounting evidence regarding the lack of specificity of biomarkers traditionally used as indicators of oxidative stress in human disease and exposures now necessitates re-evaluation. To prioritize these re-evaluations, published literature was comprehensively analyzed in a meta-analysis to quantitatively classify the levels of systemic oxidative damage across human disease and in response to environmental exposures. In this meta-analysis, the F(2)-isoprostane, 8-iso-PGF(2α), was specifically chosen as the representative marker of oxidative damage. To combine published values across measurement methods and specimens, the standardized mean differences (Hedges’ g) in 8-iso-PGF(2α) levels between affected and control populations were calculated. The meta-analysis resulted in a classification of oxidative damage levels as measured by 8-iso-PGF(2α) across 50 human health outcomes and exposures from 242 distinct publications. Relatively small increases in 8-iso-PGF(2α) levels (g<0.8) were found in the following conditions: hypertension (g=0.4), metabolic syndrome (g=0.5), asthma (g=0.4), and tobacco smoking (g=0.7). In contrast, large increases in 8-iso-PGF(2α) levels were observed in pathologies of the kidney, e.g., chronic renal insufficiency (g=1.9), obstructive sleep apnoea (g=1.1), and pre-eclampsia (g=1.1), as well as respiratory tract disorders, e.g., cystic fibrosis (g=2.3). In conclusion, we have established a quantitative classification for the level of 8-iso-PGF(2α) generation in different human pathologies and exposures based on a comprehensive meta-analysis of published data. This analysis provides knowledge on the true involvement of oxidative damage across human health outcomes as well as utilizes past research to prioritize those conditions requiring further scrutiny on the mechanisms of biomarker generation.
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spelling pubmed-53842992017-04-14 Classifying oxidative stress by F(2)-isoprostane levels across human diseases: A meta-analysis van 't Erve, Thomas J. Kadiiska, Maria B. London, Stephanie J. Mason, Ronald P. Redox Biol Research Paper The notion that oxidative stress plays a role in virtually every human disease and environmental exposure has become ingrained in everyday knowledge. However, mounting evidence regarding the lack of specificity of biomarkers traditionally used as indicators of oxidative stress in human disease and exposures now necessitates re-evaluation. To prioritize these re-evaluations, published literature was comprehensively analyzed in a meta-analysis to quantitatively classify the levels of systemic oxidative damage across human disease and in response to environmental exposures. In this meta-analysis, the F(2)-isoprostane, 8-iso-PGF(2α), was specifically chosen as the representative marker of oxidative damage. To combine published values across measurement methods and specimens, the standardized mean differences (Hedges’ g) in 8-iso-PGF(2α) levels between affected and control populations were calculated. The meta-analysis resulted in a classification of oxidative damage levels as measured by 8-iso-PGF(2α) across 50 human health outcomes and exposures from 242 distinct publications. Relatively small increases in 8-iso-PGF(2α) levels (g<0.8) were found in the following conditions: hypertension (g=0.4), metabolic syndrome (g=0.5), asthma (g=0.4), and tobacco smoking (g=0.7). In contrast, large increases in 8-iso-PGF(2α) levels were observed in pathologies of the kidney, e.g., chronic renal insufficiency (g=1.9), obstructive sleep apnoea (g=1.1), and pre-eclampsia (g=1.1), as well as respiratory tract disorders, e.g., cystic fibrosis (g=2.3). In conclusion, we have established a quantitative classification for the level of 8-iso-PGF(2α) generation in different human pathologies and exposures based on a comprehensive meta-analysis of published data. This analysis provides knowledge on the true involvement of oxidative damage across human health outcomes as well as utilizes past research to prioritize those conditions requiring further scrutiny on the mechanisms of biomarker generation. Elsevier 2017-03-28 /pmc/articles/PMC5384299/ /pubmed/28391180 http://dx.doi.org/10.1016/j.redox.2017.03.024 Text en © 2017 Published by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
van 't Erve, Thomas J.
Kadiiska, Maria B.
London, Stephanie J.
Mason, Ronald P.
Classifying oxidative stress by F(2)-isoprostane levels across human diseases: A meta-analysis
title Classifying oxidative stress by F(2)-isoprostane levels across human diseases: A meta-analysis
title_full Classifying oxidative stress by F(2)-isoprostane levels across human diseases: A meta-analysis
title_fullStr Classifying oxidative stress by F(2)-isoprostane levels across human diseases: A meta-analysis
title_full_unstemmed Classifying oxidative stress by F(2)-isoprostane levels across human diseases: A meta-analysis
title_short Classifying oxidative stress by F(2)-isoprostane levels across human diseases: A meta-analysis
title_sort classifying oxidative stress by f(2)-isoprostane levels across human diseases: a meta-analysis
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384299/
https://www.ncbi.nlm.nih.gov/pubmed/28391180
http://dx.doi.org/10.1016/j.redox.2017.03.024
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