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Routine omics collection is a golden opportunity for European human research in space and analog environments
Univ Nottingham, Sch Med, Derby DE22 3DT, England..ORCID iD: 0000-0002-4984-0567
Ohio Univ, Heritage Coll Osteopath Med, Dept Biomed Sci, Athens, OH 45701 USA.;Ohio Univ, Ohio Musculoskeletal & Neurol Inst, Athens, OH 45701 USA.;Univ Bradford, Fac Life Sci, Sch Chem & Biosci, Bradford BD7 1DP, W Yorkshire, England..
Weill Cornell Med, Dept Physiol & Biophys, New York, NY USA..
Univ Tsukuba, Fac Med, Transborder Med Res Ctr, Tsukuba, Ibaraki 3058575, Japan.;Univ Tsukuba, Fac Med, Dept Genome Biol, Tsukuba, Ibaraki 3058575, Japan..
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2022 (English)In: PATTERNS, ISSN 2666-3899, Vol. 3, no 10, p. 100550-, article id 100550Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Elsevier BV , 2022. Vol. 3, no 10, p. 100550-, article id 100550
National Category
Medical Biotechnology
Identifiers
URN: urn:nbn:se:kth:diva-323050DOI: 10.1016/j.patter.2022.100550ISI: 000898561500002PubMedID: 36277820Scopus ID: 2-s2.0-85135155883OAI: oai:DiVA.org:kth-323050DiVA, id: diva2:1726423
Note

QC 20230113

Available from: 2023-01-13 Created: 2023-01-13 Last updated: 2023-01-13Bibliographically approved

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