Using digital technologies to improve muscle health in Astronauts

利用数字技术改善宇航员的肌肉健康

• 批准号: 2274208
• 金额: --
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2274208
• 关键词: Using; digital; technologies; improve; muscle

The aim of this project is to use digital techniques to develop the mechanistic understanding of muscle atrophy in spaceflight. If left unabated, loss of muscle mass and performance in spaceflight poses a key risk to astronaut health and success in mission critical tasks. With ambitious plans for heterogenous populations of commercial passengers and long-duration voyages to Mars, there is an urgency to elucidate the underlying causes of muscle atrophy and uncover the role of individual differences. Outside of the spaceflight context, muscle atrophy is also a key issue for patients on Earth, who may experience atrophy due to different causes such as inactivity, ageing (Sarcopenia), and muscular dystrophy. Therefore, advancements in the mechanistic understanding of this atrophic response may inform the development of countermeasures for both patients on Earth and astronauts in space.Techniques used in this project will include bioinformatics for interpreting biological "omics" data from studies, including human ground-based studies that are analogous of spaceflight and spaceflight studies using model organisms, such as rodents and worms. Additionally, advanced computer vision solutions will be developed to enable functional analyses of experiments, including an ISS experiment for investigating muscle strength in genetic mutant worms. Ultimately, functional measures will be combined with analysis of "omics" data, to establish causal relationships between the "omics" changes, and the physiological changes.Additionally, this project will include other activities for furthering the development of biomedical spaceflight capabilities, including the development of the governing software for a biomedical CubeSat, and investigations into the privacy, ethical and legal issues of biological data usage in human spaceflight.

该项目的目的是利用数字技术来发展对航天中肌肉萎缩的机械理解。如果任其发展，肌肉质量和航天表现的损失将对宇航员的健康和使命关键任务的成功构成关键风险。随着商业乘客和火星长期航行的异质人群的雄心勃勃的计划，迫切需要阐明肌肉萎缩的根本原因，并揭示个体差异的作用。在航天背景之外，肌肉萎缩也是地球上患者的一个关键问题，他们可能会因不同的原因而出现萎缩，例如不活动，衰老（肌肉减少症）和肌肉萎缩症。因此，对这种萎缩反应机制的进一步理解可能会为地球上的病人和太空中的宇航员制定对策提供信息，该项目使用的技术将包括生物信息学，用于解释研究中的生物“组学”数据，包括类似于航天飞行的人类地面研究和使用啮齿动物和蠕虫等模式生物的航天飞行研究。此外，还将开发先进的计算机视觉解决方案，以实现实验的功能分析，包括国际空间站研究遗传突变蠕虫肌肉力量的实验。最终，功能测量将与“组学”数据的分析相结合，以建立“组学”变化与生理变化之间的因果关系。此外，该项目还将包括进一步发展生物医学航天能力的其他活动，包括开发生物医学立方体卫星的管理软件，以及调查隐私，载人航天中生物数据使用的伦理和法律的问题。

项目成果

Mammalian and Invertebrate Models as Complementary Tools for Gaining Mechanistic Insight on Muscle Responses to Spaceflight.

• DOI: 10.3390/ijms22179470
• 发表时间: 2021-08-31
• 期刊: International journal of molecular sciences
• 影响因子: 5.6
• 作者: Cahill T;Cope H;Bass JJ;Overbey EG;Gilbert R;da Silveira WA;Paul AM;Mishra T;Herranz R;Reinsch SS;Costes SV;Hardiman G;Szewczyk NJ;Tahimic CGT
• 通讯作者: Tahimic CGT

A New Era for Space Life Science: International Standards for Space Omics Processing.

• DOI: 10.1016/j.patter.2020.100148
• 发表时间: 2020-12-11
• 期刊: Patterns (New York, N.Y.)
• 作者: Rutter L;Barker R;Bezdan D;Cope H;Costes SV;Degoricija L;Fisch KM;Gabitto MI;Gebre S;Giacomello S;Gilroy S;Green SJ;Mason CE;Reinsch SS;Szewczyk NJ;Taylor DM;Galazka JM;Herranz R;Muratani M
• 通讯作者: Muratani M