ArticleFrontiers in network physiology2026
Network physiology in space: vision and perspectives on exploring physiological networks during spaceflight for the benefit of life on earth.
Article in Frontiers in network physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Dose-dependent reduction of optic nerve sheath diameter during graded lower body negative pressure in healthy adults of both sexes.Frontiers in network physiology · 2026Article
- Microgravity- induced organ and system-level deconditioning: a network physiology perspective.Frontiers in network physiology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Network Physiology provides a unifying framework for understanding how molecular, cellular, and organ-level systems integrate as a network to generate distinct physiological states and sustain human function. Spaceflight offers a unique environment-characterized by microgravity, radiation, isolation, and circadian disruption-that perturbs interconnected physiological systems and networks. Network Physiology in Space, an emerging area of research and clinical practice within the multidisciplinary field of Network Physiology, examines how multiscale interactions, from genomic and metabolic pathways to organ system dynamics, adapt and reorganize in response to spaceflight stressors to maintain homeostasis at the organism level. Using systems biology, multi-omics, nonlinear analyses of physiological systems dynamics, computational modeling, and AI-enhanced analysis, researchers have traditionally focused on individual systems to investigate regulatory mechanisms underpinning adaptations to spaceflight, including muscle and bone loss, cardio-vascular and cardio-respiratory deconditioning, immune function shifts, neuro-vestibular dysregulation, circadian, and sleep fragmentation. However, physiological systems and organs continuously interact across levels to synchronize dynamics and coordinate functions. Changes in a system in response to perturbations are often interlinked with other systems, leading to diversity of effects, which underscores the need for an integrative framework capable of linking molecular signals to system-level physiological function and crew functionality. In this context, Network Physiology provides a unifying theoretical and analytical approach to identify, quantify and model dynamic interactions among physiological systems across spatio-temporal scales, integrating multi-omics, physiological, and behavioral data into dynamical network representations. This systems-level perspective enables spaceflight-induced adaptations to be interpreted as coordinated reconfigurations of interacting physiological networks, rather than isolated responses of individual components. As many adaptations are common with disuse pathology, spaceflight becomes a living laboratory for probing frailty and resilience, revealing principles relevant to aging, metabolic and immune disorders, neurodegeneration, and rehabilitation on Earth. Recent methodological advances in inferring functional forms of coupling and causality in dynamic systems interactions, and novel integrative and adaptive network approaches in Network Physiology offer new perspectives to human and animal studies in space or analogue environments, for the development of translational applications to clinical practice and hybrid mechanistic-machine-learning models that simulate system-wide responses and guide personalized countermeasures strategies and personalized medicine.
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Registered trials
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.