Schmidt Michael A, Goodwin Thomas J, Pelligra Ralph
Sovaris Aerospace, LLC, Advanced Pattern Analysis & Countermeasures Group, Research Innovation Center, Colorado State University, 3185 Rampart Road, Fort Collins, CO 80521 USA.
Disease Modeling and Tissue Analogues Laboratory, Biomedical Research and Environmental Sciences Division, NASA Lyndon B. Johnson Space Center, Houston, TX 77058 USA.
Metabolomics. 2016;12:36. doi: 10.1007/s11306-015-0942-0. Epub 2016 Jan 20.
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.
人类太空飞行的下一个主要阶段包括飞往月球、火星和近地小行星的飞越、轨道和着陆任务。首次载人深空任务预计于2022年发射,这就只剩下不到7年的时间来解决是否以及如何应用人工重力来对抗长期失重影响这个复杂问题。在人工重力实验中展示了各种表型变化。然而,这些形态、生理和行为表型背后的分子动力学(基因型和分子表型)比之前所理解的要复杂得多。因此,可以预期,对处于各种重力条件下的受试者进行靶向分子评估会遗漏重要的分子变异模式,而这些模式能为通常所测量的更一般表型提供信息。随着各种重力加载模式的应用,组学方法的使用有助于检测广泛分子网络中的变化。这将有助于检测应用于人类或动物的不同重力模式的脱靶效应或意外效应。从这些方法中获得的见解最终可能用于指导对策的开发或完善现有对策的部署。如果我们要在当前设定的极其紧迫的时间框架内开发出合适的人工重力解决方案,组学和人工重力研究领域的这种融合可能至关重要。因此,组学领域可能具有独特的能力来加速发现、提供新的见解,并以之前未被考虑过的方式造福深空任务。