Evidence map›Paper›PMID 42151676›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

A Systems Biology Approach to Discovery and Validation of MicroRNA Signature Health Risks Associated with the Space Environment.

Francisco J Enguita, Ana Lúcia Leitão, Afshin Beheshti

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Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Francisco J EnguitaFaculdade de Medicina, Universidade de Lisboa, Av. Prof. Egas Moniz,, 1649-028, Lisboa, Portugal.
Ana Lúcia LeitãoDepartamento de Química, Faculdade de Ciências e Tecnologia, NOVA FCT, Universidade NOVA de Lisboa, Caparica, Portugal.
Afshin BeheshtiCenter for Space Biomedicine, Trivedi Institute for Space and Global Biomedicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. beheshti@pitt.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When living organisms are exposed to the space environment, numerous changes occur that affect virtually all cellular functions and molecular pathways. One class of understudied molecules in space biomedicine is noncoding RNAs (ncRNAs), particularly microRNAs (miRNAs). Given that spaceflight induces systemic health risks, miRNAs represent natural candidates for key regulators in space, as they can control hundreds to thousands of genes and influence central biological pathways. Transcriptomic data and pathway analyses are employed to identify the key genes driving specific physiological states, which can in turn be used to predict the miRNAs regulating those states. MiRNAs that act as upstream regulators of these driver genes are selected as candidates for a spaceflight-associated miRNA signature. Once these candidate miRNAs are identified, they must be experimentally validated. Depending on the health risk or biological process under investigation, miRNAs are validated either in circulating fluids (e.g., serum, plasma, blood) or in tissue samples using droplet digital polymerase chain reaction (ddPCR). Compared to conventional PCR methods, ddPCR enables absolute quantification of miRNA copy numbers and overcomes several limitations associated with traditional miRNA expression assays. This approach provides an unbiased prediction of candidate miRNAs, followed by precise and specific verification of their expression profiles, and can be broadly applied to identify miRNA signatures associated with various diseases and physiological stressors. Once validated, miRNAs that are overexpressed in response to spaceflight can be targeted for inhibition as potential countermeasures to mitigate health risks. Harnessing the power of miRNAs not only deepens our understanding of space biology but also accelerates the development of targeted interventions, ultimately enabling safe and sustained human exploration of deep space.

Indexed as

Extraterrestrial EnvironmentMicroRNAsSpace FlightSystems BiologyGene Expression ProfilingHumansTranscriptomeMicroRNAsAntagomirsDdPCRMicroRNAmiRNAncRNASpace biomedicine

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.