Evidence map›Paper›PMID 41009942›Full record

ArticleGenes2025

Genomic Analysis of Cardiovascular Diseases Utilizing Space Omics and Medical Atlas.

Ryung Lee, Abir Rayhun, Jang Keun Kim, Cem Meydan, Afshin Beheshti, Kyle Sporn, Rahul Kumar, Jacques Calixte, M Windy McNerney, Jainam Shah and 3 more

Abstract read
In one paragraph

Article in Genes, 2025. 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

13 authors.

Ryung LeeDepartment of Medicine, Jacob's School of Medicine and Biomedical Sciences, Buffalo, NY 14203, USA.
Abir RayhunDepartment of Medicine, Jacob's School of Medicine and Biomedical Sciences, Buffalo, NY 14203, USA.
Jang Keun KimDepartment of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY 10065, USA.
Cem MeydanDepartment of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY 10065, USA.
Afshin BeheshtiCenter for Space Biomedicine, McGowan Institute for Regenerative Medicine, Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA.
Kyle SpornDepartment of Medicine, Norton College of Medicine, 750 E Adams St., Syracuse, NY 13210, USA.ORCID 0009-0005-5707-9009
Rahul KumarDepartment of Medicine, University of Massachusetts Chan School of Medicine, Worcester, MA 01655, USA.ORCID 0000-0001-8574-2895
Jacques CalixteVagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.ORCID 0009-0005-1654-8913
M Windy McNerneyDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0002-6536-5671
Jainam ShahDepartment of Medicine, Albert Einstein College of Medicine, Bronx, NY 10461, USA.ORCID 0009-0004-3088-7543
Ethan WaisbergDepartment of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0QQ, UK.
Joshua OngDepartment of Ophthalmology and Visual Sciences, University of Michigan Kellogg Eye Center, Ann Arbor, MI 48105, USA.ORCID 0000-0003-4860-827X
Christopher MasonDepartment of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, New York, NY 10065, USA.ORCID 0000-0002-1850-1642

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Space Omics and Medical Atlas (SOMA) is an extensive database containing gene expression information from samples collected during the short-duration Inspiration4 spaceflight mission in 2021. Given our prior understanding of the genetic basis for cardiovascular diseases in spaceflight, including orthostatic intolerance and cardiac deconditioning, we aimed to characterize changes in differential gene expression among astronauts using SOMA-derived data and curated cardiovascular pathways.

methodsUsing the KEGG 2021 database, we curated a list of genes related to cardiovascular adaptations in spaceflight, focusing on pathways such as fluid shear stress and atherosclerosis, lipid metabolism, arrhythmogenic ventricular hypertrophy, and cardiac muscle contraction. Genes were cross-matched to spaceflight-relevant datasets from the Open Science Data Repository (OSDR). Differential expression analysis was performed using DESeq2 (v1.40.2, R) with normalization by median-of-ratios, paired pre-/post-flight covariates, and log2 fold change shrinkage using apeglm. Differentially expressed genes (DEGs) were defined as |log2FC| ≥ 1 and FDR < 0.05 (Benjamini-Hochberg correction). Module score analyses were conducted across SOMA cell types to confirm conserved cardiac adaptation genes.

resultsA total of 185 spaceflight-relevant genes were analyzed. Statistically significant changes were observed in immune-related cardiovascular pathways, particularly within monocytes and T cells. Persistent upregulation of arrhythmogenic genes such as GJA1 was noted at post-flight day 82. WikiPathways enrichment revealed additional pathways, including focal adhesion, insulin signaling, and heart development.

conclusionsShort-duration spaceflight induces significant gene expression changes that are relevant to cardiovascular disease risk. These changes are mediated largely through immune signaling and transcriptional regulation in peripheral blood mononuclear cells. Findings highlight the need for tailored countermeasures and longitudinal monitoring in future long-duration missions.

Indexed as

Cardiovascular DiseasesGenomicsSpace FlightAstronautsDatabases, GeneticGene Expression ProfilingHumansTranscriptomearrhythmiaastronaut healthatherosclerosiscardiovascular genomicsimmune pathwaysspaceflight

Identifiers

PMID41009942
PMCPMC12469784

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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.