Evidence mapPaperPMID 41526375Full record

ArticleNPJ microgravity2026

Integrated cross-species translation and biophysical multi-scale modeling links molecular signatures and locomotory phenotypes in spaceflight-induced sarcopenia.

Brendan K Ball, Hammad F Khan, Jee Hyun Park, Krishna Jayant, Deva D Chan, Douglas K Brubaker

Abstract read
In one paragraph

Article in NPJ microgravity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Brendan K Ball *Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA. bbkazu@stanford.edu.
Hammad F Khan *Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA. khan332@purdue.edu.
Jee Hyun ParkWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
Krishna JayantWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
Deva D ChanWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
Douglas K BrubakerCenter for Global Health & Diseases, Department of Pathology, Case Western Reserve University School of Medicine, Cleveland, OH, USA. dkb50@case.edu.

Funding

DARPA Young Faculty Award W911NF21103272National Science Foundation 1944394National Science Foundation DGE-1842166
6 · The paper itself

Abstract

Age-related skeletal muscle deterioration, referred to as sarcopenia, poses significant risks to astronaut health and mission success during spaceflight, yet its multisystem drivers remain poorly understood. While terrestrial sarcopenia manifests gradually through aging, spaceflight induces analogous musculoskeletal decline within weeks, providing an accelerated model to study conserved atrophy mechanisms. Here, we introduced an integrative framework combining cross-species genetic analysis with physiological modeling to understand mechanistic pathways in space-induced sarcopenia. By analyzing rodent and human datasets, we identified conserved molecular pathways underlying spaceflight-induced muscle atrophy, revealing shared regulators of neuromuscular signaling including pathways related to neurotransmitter release and regulation, mitochondrial function, and synaptic integration. Building upon these molecular insights, we developed a physiologically grounded central pattern generator model that reproduced spaceflight-induced locomotion deficits in mice. This multi-scale approach established mechanistic connections between transcriptional changes and impaired movement kinetics while identifying potential therapeutic targets applicable to both spaceflight and terrestrial aging-related muscle loss.

Identifiers

PMID41526375
PMCPMC12894837

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.