Evidence map›Paper›PMID 42842563›Full record

ArticlePloS one2026

Integrative transcriptomics identifies an 18-gene candidate blood-accessible biomarker panel for longitudinal monitoring of spaceflight-induced muscle atrophy.

Jae Ho Shim, Ji Yeon Lee, Jihye Han, Hyeon Soo Kim

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

4 authors.

Jae Ho ShimDepartment of Anatomy, Korea University College of Medicine, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-9861-6521
Ji Yeon LeeDepartment of Anatomy, Korea University College of Medicine, Seoul, Republic of Korea.
Jihye HanDepartment of Anatomy, Korea University College of Medicine, Seoul, Republic of Korea.
Hyeon Soo KimDepartment of Anatomy, Korea University College of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscle atrophy is a critical physiological risk during long-duration spaceflight, yet candidate blood-accessible transcriptomic biomarkers for longitudinal monitoring remain unavailable. We developed an integrative multi-mission framework combining a primary discovery transcriptome from THP-1 monocytic cells exposed to International Space Station (ISS) microgravity (GEO: Sci. Adv. 2026 (https://doi.org/10.1126/sciadv.adw7832, Data S1-S10); NASA OSDR: Al-Ahmadi et al. 2026; n = 8 spaceflight, 8 ground control) - yielding 4,522 spaceflight-differentially expressed genes (SDEGs) - with a PRISMA-compliant meta-analysis of 46 verified spaceflight studies, producing a 726-gene consensus set. Cross-referencing these datasets identified 103 intersection genes; application of our Integrated Concordance Score (ICS) nominated an 18-gene candidate biomarker panel nominated across six external missions. Orthogonal cross-tissue concordance analysis using six C2C12 myotube simulated-microgravity datasets demonstrated Pearson r = 0.79 (95% CI 0.52-0.92, p < 0.001), with a conserved stress module achieving r = 0.88; complementary concordance in human primary skeletal myotubes confirmed tri-model directional concordance for 13 stress-module genes. Gold-tier biomarkers (TNNT3, TRIM63, ACTC1, IGF2; ICS ≥ 8.0) showed ≥83% multi-mission concordance. Temporal modelling informs a preliminary two-tier fortnightly/monthly monitoring framework aligned with measured saturation kinetics, and the prioritised panel converges on coordinated ubiquitin-proteasome activation, AKT-mTOR-FOXO3a remodelling, E2F suppression, and sarcomeric reprogramming. Integrated drug-gene analysis identified bimagrumab combined with leucine as the top predicted prioritised countermeasure pair (computational Bliss = 2.8). These findings establish a proposed candidate blood-accessible biomarker framework for periodic muscle health surveillance during long-duration human spaceflight, available prospective validation in astronaut blood samples. The unit of analysis was the analytical contrast (spaceflight vs. matched ground control), not the publication. Cross-platform harmonization was performed via gene-level mapping and rank-based normalization.

Indexed as

Muscular AtrophySpace FlightTranscriptomeAnimalsBiomarkersGene Expression ProfilingHumansTHP-1 CellsWeightlessnessBiomarkers

Identifiers

PMID42842563
PMCPMC13645052

What OpenQuestion holds

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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.