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Incorporation of omics analyses into artificial gravity research for space exploration countermeasure development

The next major steps in human spaceflight include flyby, orbital, and landing missions to the Moon, Mars, and near earth asteroids. The first crewed deep space mission is expected to launch in 2022, which affords less than 7 years to address the complex question of whether and how to apply artificia...

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Detalles Bibliográficos
Autores principales: Schmidt, Michael A., Goodwin, Thomas J., Pelligra, Ralph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4718941/
https://www.ncbi.nlm.nih.gov/pubmed/26834514
http://dx.doi.org/10.1007/s11306-015-0942-0
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author Schmidt, Michael A.
Goodwin, Thomas J.
Pelligra, Ralph
author_facet Schmidt, Michael A.
Goodwin, Thomas J.
Pelligra, Ralph
author_sort Schmidt, Michael A.
collection PubMed
description The next major steps in human spaceflight include flyby, orbital, and landing missions to the Moon, Mars, and near earth asteroids. The first crewed deep space mission is expected to launch in 2022, which affords less than 7 years to address the complex question of whether and how to apply artificial gravity to counter the effects of prolonged weightlessness. Various phenotypic changes are demonstrated during artificial gravity experiments. However, the molecular dynamics (genotype and molecular phenotypes) that underlie these morphological, physiological, and behavioral phenotypes are far more complex than previously understood. Thus, targeted molecular assessment of subjects under various G conditions can be expected to miss important patterns of molecular variance that inform the more general phenotypes typically being measured. Use of omics methods can help detect changes across broad molecular networks, as various G-loading paradigms are applied. This will be useful in detecting off-target, or unanticipated effects of the different gravity paradigms applied to humans or animals. Insights gained from these approaches may eventually be used to inform countermeasure development or refine the deployment of existing countermeasures. This convergence of the omics and artificial gravity research communities may be critical if we are to develop the proper artificial gravity solutions under the severely compressed timelines currently established. Thus, the omics community may offer a unique ability to accelerate discovery, provide new insights, and benefit deep space missions in ways that have not been previously considered.
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spelling pubmed-47189412016-01-27 Incorporation of omics analyses into artificial gravity research for space exploration countermeasure development Schmidt, Michael A. Goodwin, Thomas J. Pelligra, Ralph Metabolomics Review Article The next major steps in human spaceflight include flyby, orbital, and landing missions to the Moon, Mars, and near earth asteroids. The first crewed deep space mission is expected to launch in 2022, which affords less than 7 years to address the complex question of whether and how to apply artificial gravity to counter the effects of prolonged weightlessness. Various phenotypic changes are demonstrated during artificial gravity experiments. However, the molecular dynamics (genotype and molecular phenotypes) that underlie these morphological, physiological, and behavioral phenotypes are far more complex than previously understood. Thus, targeted molecular assessment of subjects under various G conditions can be expected to miss important patterns of molecular variance that inform the more general phenotypes typically being measured. Use of omics methods can help detect changes across broad molecular networks, as various G-loading paradigms are applied. This will be useful in detecting off-target, or unanticipated effects of the different gravity paradigms applied to humans or animals. Insights gained from these approaches may eventually be used to inform countermeasure development or refine the deployment of existing countermeasures. This convergence of the omics and artificial gravity research communities may be critical if we are to develop the proper artificial gravity solutions under the severely compressed timelines currently established. Thus, the omics community may offer a unique ability to accelerate discovery, provide new insights, and benefit deep space missions in ways that have not been previously considered. Springer US 2016-01-20 2016 /pmc/articles/PMC4718941/ /pubmed/26834514 http://dx.doi.org/10.1007/s11306-015-0942-0 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Review Article
Schmidt, Michael A.
Goodwin, Thomas J.
Pelligra, Ralph
Incorporation of omics analyses into artificial gravity research for space exploration countermeasure development
title Incorporation of omics analyses into artificial gravity research for space exploration countermeasure development
title_full Incorporation of omics analyses into artificial gravity research for space exploration countermeasure development
title_fullStr Incorporation of omics analyses into artificial gravity research for space exploration countermeasure development
title_full_unstemmed Incorporation of omics analyses into artificial gravity research for space exploration countermeasure development
title_short Incorporation of omics analyses into artificial gravity research for space exploration countermeasure development
title_sort incorporation of omics analyses into artificial gravity research for space exploration countermeasure development
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4718941/
https://www.ncbi.nlm.nih.gov/pubmed/26834514
http://dx.doi.org/10.1007/s11306-015-0942-0
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