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Routine omics collection is a golden opportunity for European human research in space and analog environments

  • Henry Cope
  • , Craig R.G. Willis
  • , Matthew J. MacKay
  • , Lindsay A. Rutter
  • , Li Shean Toh
  • , Philip M. Williams
  • , Raúl Herranz
  • , Joseph Borg
  • , Daniela Bezdan
  • , Stefania Giacomello
  • , Masafumi Muratani
  • , Christopher E. Mason
  • , Timothy Etheridge
  • , Nathaniel J. Szewczyk

Research output: Contribution to journalReview ArticleResearchpeer-review

Abstract

Widespread generation and analysis of omics data have revolutionized molecular medicine on Earth, yet its power to yield new mechanistic insights and improve occupational health during spaceflight is still to be fully realized in humans. Nevertheless, rapid technological advancements and ever-regular spaceflight programs mean that longitudinal, standardized, and cost-effective collection of human space omics data are firmly within reach. Here, we consider the practicality and scientific return of different sampling methods and omic types in the context of human spaceflight. We also appraise ethical and legal considerations pertinent to omics data derived from European astronauts and spaceflight participants (SFPs). Ultimately, we propose that a routine omics collection program in spaceflight and analog environments presents a golden opportunity. Unlocking this bright future of artificial intelligence (AI)-driven analyses and personalized medicine approaches will require further investigation into best practices, including policy design and standardization of omics data, metadata, and sampling methods.

Original languageEnglish
Article number100550
Number of pages16
JournalPatterns
Volume3
Issue number10
DOIs
Publication statusPublished - 14 Oct 2022
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • artificial intelligence
  • astronaut ethics
  • biobank
  • commercial spaceflight
  • DSML1: Concept: Basic principles of a new data science output observed and reported
  • European Space Agency
  • GDPR
  • International Space Station
  • longitudinal monitoring
  • multiomics
  • personalized medicine

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